detkit

Matrix determinant toolkit

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

detKit is a Python package for computing determinant functions of matrices.

Install

Install with pip

pip install detkit

Install with conda

conda install -c s-ameli detkit

Docker Image

docker pull sameli/detkit

Supported Platforms

Successful installation and tests performed on the following operating systems, architectures, and Python and PyPy versions:

Platform	Arch	Python Version	PyPy Version ¹	Continuous Integration
3.9	3.10	3.11	3.12	3.8	3.9	3.10
Linux	X86-64	✔	✔	✔	✔	✔	✔	✔
Linux	AARCH-64	✔	✔	✔	✔	✔	✔	✔
macOS	X86-64	✔	✔	✔	✔	✔	✔	✔
macOS	ARM-64	✔	✔	✔	✔	✔	✔	✔
Windows	X86-64	✔	✔	✔	✔	✔	✔	✔
Windows	ARM-64 ²	✔	✔	✔	✔	✔	✔	✔

Python wheels for detkit for all supported platforms and versions in the above are available through PyPI and Anaconda Cloud. If you need detkit on other platforms, architectures, and Python or PyPy versions, raise an issue on GitHub and we build its Python Wheel for you.

^{1. Wheels for PyPy are exclusively available for installation through pip and cannot be installed using conda.}

^{2. Wheels for Windows on ARM-64 architecture are exclusively available for installation through pip and cannot be installed using conda.}

Documentation

See documentation of the package.

Benchmark Test

Read about the benchmark test of detkit in practical applications.

How to Contribute

We welcome contributions via GitHub’s pull request. If you do not feel comfortable modifying the code, we also welcome feature requests and bug reports as GitHub issues.

How to Cite

If you publish work that uses detkit, please consider citing the manuscripts available here.

License

This project uses a BSD 3-clause license, in hopes that it will be accessible to most projects. If you require a different license, please raise an issue and we will consider a dual 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

0.3.3

Feb 8, 2024

0.3.0

Jan 21, 2024

0.2.18

Dec 28, 2023

0.2.17

Dec 22, 2023

0.2.16

Dec 21, 2023

0.2.15

Dec 21, 2023

0.2.14

Dec 14, 2023

0.2.13

Dec 13, 2023

0.2.11

Dec 13, 2023

0.2.10

Dec 12, 2023

0.2.9

Dec 12, 2023

0.2.8

Dec 4, 2023

0.2.4

Sep 18, 2023

0.2.1

Jan 23, 2023

Download files

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

Source Distribution

detkit-0.3.3.tar.gz (234.7 kB view hashes)

Uploaded Feb 8, 2024 Source

Built Distributions

detkit-0.3.3-pp310-pypy310_pp73-win_amd64.whl (510.8 kB view hashes)

Uploaded Feb 8, 2024 PyPy Windows x86-64

detkit-0.3.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.0 MB view hashes)

Uploaded Feb 8, 2024 PyPy manylinux: glibc 2.17+ x86-64

detkit-0.3.3-pp310-pypy310_pp73-macosx_10_9_x86_64.whl (749.4 kB view hashes)

Uploaded Feb 8, 2024 PyPy macOS 10.9+ x86-64

detkit-0.3.3-pp39-pypy39_pp73-win_amd64.whl (509.9 kB view hashes)

Uploaded Feb 8, 2024 PyPy Windows x86-64

detkit-0.3.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.0 MB view hashes)

Uploaded Feb 8, 2024 PyPy manylinux: glibc 2.17+ x86-64

detkit-0.3.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (748.7 kB view hashes)

Uploaded Feb 8, 2024 PyPy macOS 10.9+ x86-64

detkit-0.3.3-pp38-pypy38_pp73-win_amd64.whl (508.1 kB view hashes)

Uploaded Feb 8, 2024 PyPy Windows x86-64

detkit-0.3.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.0 MB view hashes)

Uploaded Feb 8, 2024 PyPy manylinux: glibc 2.17+ x86-64

detkit-0.3.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (744.3 kB view hashes)

Uploaded Feb 8, 2024 PyPy macOS 10.9+ x86-64

detkit-0.3.3-cp312-cp312-win_arm64.whl (460.6 kB view hashes)

Uploaded Feb 8, 2024 CPython 3.12 Windows ARM64

detkit-0.3.3-cp312-cp312-win_amd64.whl (539.6 kB view hashes)

Uploaded Feb 8, 2024 CPython 3.12 Windows x86-64

detkit-0.3.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view hashes)

Uploaded Feb 8, 2024 CPython 3.12 manylinux: glibc 2.17+ x86-64

detkit-0.3.3-cp312-cp312-macosx_10_9_x86_64.whl (802.8 kB view hashes)

Uploaded Feb 8, 2024 CPython 3.12 macOS 10.9+ x86-64

detkit-0.3.3-cp311-cp311-win_arm64.whl (462.2 kB view hashes)

Uploaded Feb 8, 2024 CPython 3.11 Windows ARM64

detkit-0.3.3-cp311-cp311-win_amd64.whl (540.6 kB view hashes)

Uploaded Feb 8, 2024 CPython 3.11 Windows x86-64

detkit-0.3.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view hashes)

Uploaded Feb 8, 2024 CPython 3.11 manylinux: glibc 2.17+ x86-64

detkit-0.3.3-cp311-cp311-macosx_10_9_x86_64.whl (803.9 kB view hashes)

Uploaded Feb 8, 2024 CPython 3.11 macOS 10.9+ x86-64

detkit-0.3.3-cp310-cp310-win_arm64.whl (464.8 kB view hashes)

Uploaded Feb 8, 2024 CPython 3.10 Windows ARM64

detkit-0.3.3-cp310-cp310-win_amd64.whl (545.0 kB view hashes)

Uploaded Feb 8, 2024 CPython 3.10 Windows x86-64

detkit-0.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view hashes)

Uploaded Feb 8, 2024 CPython 3.10 manylinux: glibc 2.17+ x86-64

detkit-0.3.3-cp310-cp310-macosx_10_9_x86_64.whl (809.5 kB view hashes)

Uploaded Feb 8, 2024 CPython 3.10 macOS 10.9+ x86-64

detkit-0.3.3-cp39-cp39-win_arm64.whl (472.2 kB view hashes)

Uploaded Feb 8, 2024 CPython 3.9 Windows ARM64

detkit-0.3.3-cp39-cp39-win_amd64.whl (552.8 kB view hashes)

Uploaded Feb 8, 2024 CPython 3.9 Windows x86-64

detkit-0.3.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.1 MB view hashes)

Uploaded Feb 8, 2024 CPython 3.9 manylinux: glibc 2.17+ x86-64

detkit-0.3.3-cp39-cp39-macosx_10_9_x86_64.whl (810.8 kB view hashes)

Uploaded Feb 8, 2024 CPython 3.9 macOS 10.9+ x86-64

Hashes for detkit-0.3.3.tar.gz

Hashes for detkit-0.3.3.tar.gz
Algorithm	Hash digest
SHA256	`c7184fd6495f24732bd7e5436f85287c596c97faa829f76182ac9c5a27f1f3e1`
MD5	`e42181c4454d0c5bce6622f7822eb1b8`
BLAKE2b-256	`ed1fba3a4920e9c43b563b1777a74c3bb5514d98a0ad6b36506f9a30096385f6`

Hashes for detkit-0.3.3-pp310-pypy310_pp73-win_amd64.whl

Hashes for detkit-0.3.3-pp310-pypy310_pp73-win_amd64.whl
Algorithm	Hash digest
SHA256	`53f6467d89f0797165eb8b9c7b65fc290f49baaf2377e15d93862bf34ff27b72`
MD5	`087728800d32d3dbf5f1be2382af26d1`
BLAKE2b-256	`789fa8c08ac5ab8bd98cce9cad7361a528047a46319044f42039a767d96cfe64`

Hashes for detkit-0.3.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for detkit-0.3.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`49609306a7cea0c02dcb0682ab171dc9de9d24cb4cf685595938fd84f5726424`
MD5	`40ca7afabcef545401e1c118c74aae54`
BLAKE2b-256	`78d9bd0f0760fab9652a5b55acb92cde8d6b3fe699ed2eab99c3f8401fc297c1`

Hashes for detkit-0.3.3-pp310-pypy310_pp73-macosx_10_9_x86_64.whl

Hashes for detkit-0.3.3-pp310-pypy310_pp73-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`70d5bbe976a3f5da592db52fda5b598dc78deac56772cc4ea4a89914bddd0066`
MD5	`17b1b80157586f958c963fd2b5c8e410`
BLAKE2b-256	`2150620403a0a7303aad806d344f2b00405ff1b6e28f07fdc9def66138562a63`

Hashes for detkit-0.3.3-pp39-pypy39_pp73-win_amd64.whl

Hashes for detkit-0.3.3-pp39-pypy39_pp73-win_amd64.whl
Algorithm	Hash digest
SHA256	`c1d0c7ae6ec495a4010d65321ae564633bdacd616aa4fb6156865a276b25270c`
MD5	`449c9508942dfd0c0f9ad6c43218da33`
BLAKE2b-256	`311d92ba621c382058a90e982ac0c0c2f539adaba69ab3a0f7e8d22672ab4f56`

Hashes for detkit-0.3.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for detkit-0.3.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`0cef5512791c312d6f8c3b4a11cc126b9fe6ec053c8b9316de05895fbdd6d292`
MD5	`08a55b1abe4d0f10d06522d44e286d4b`
BLAKE2b-256	`8c5a517b3c643bd10d8b5e66159a3a4aac593e931f95f849dfa260ff7780c89b`

Hashes for detkit-0.3.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl

Hashes for detkit-0.3.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`8a24de698437a2c59241640bfb0634a8cac40f7936bc69f85e838f3fd1b7ab14`
MD5	`d86d27f707bae3824056425a2431b726`
BLAKE2b-256	`ef6459042e07680943ce647b7e599d095d8f4d1c3b1c2672314bea1409314509`

Hashes for detkit-0.3.3-pp38-pypy38_pp73-win_amd64.whl

Hashes for detkit-0.3.3-pp38-pypy38_pp73-win_amd64.whl
Algorithm	Hash digest
SHA256	`897f1377b93eed6e432b40de5c486018b35c77f7f3025c910fa8582c93808514`
MD5	`5d696a0f580a92f5f11f3ffac4f802a4`
BLAKE2b-256	`21c3bb2a5d59c699e2a74f7f147e1ed93c39d7d51fe422c30c9f64e0a082a903`

Hashes for detkit-0.3.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for detkit-0.3.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`89c29da8aab8dbe5c20ba58c6f706adb2d27aef49cac237144983abb39bf4d87`
MD5	`173606f67e7a7c809ac4c017b13fc3dc`
BLAKE2b-256	`65f382d5052e72440202843f33d7cba9e2f4dfe3772ee933db8c39a141de7115`

Hashes for detkit-0.3.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl

Hashes for detkit-0.3.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`2bc354ae44a7b65bf39960402d29db2e93428ba660e8cf5e3f6418918dbdf62e`
MD5	`126972615069b3e3e2bef7daf2550134`
BLAKE2b-256	`e1a4bdda8a938c32f301ba0d9e753eac6cf9893c2cdd085f2c541de0306c24e8`

Hashes for detkit-0.3.3-cp312-cp312-win_arm64.whl

Hashes for detkit-0.3.3-cp312-cp312-win_arm64.whl
Algorithm	Hash digest
SHA256	`f4fbb97e0e2fb2cda57c29ca118ca3590f782012ebcb466097ce96ccaa97c8d6`
MD5	`bbe132523424393b02d258035e077d84`
BLAKE2b-256	`3372f6f4711baf5b5c311b21b2e5dec2d3434d9ca93f17448577fe1a56c62365`

Hashes for detkit-0.3.3-cp312-cp312-win_amd64.whl

Hashes for detkit-0.3.3-cp312-cp312-win_amd64.whl
Algorithm	Hash digest
SHA256	`b6757cadde12a18b44c63c662ea4a49d3e8f3fbab950345455fd78996af54b62`
MD5	`f8099e4c8d869e06eab623f2579265bc`
BLAKE2b-256	`a009b4a13505078b89dad76decdf343f56aebed8fd172e16b96615d220284f13`

Hashes for detkit-0.3.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for detkit-0.3.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`b983fe694732b694bcdd313dac6455d30e58db7bc4710b37e46771efc44475fa`
MD5	`82d81d83da455fe95242a824f8b50b44`
BLAKE2b-256	`a854758cfe43c429ff5601d78c4103871931d26ddb80a5fd525513b98bd9e98f`

Hashes for detkit-0.3.3-cp312-cp312-macosx_10_9_x86_64.whl

Hashes for detkit-0.3.3-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`7bccb90e02075c494745aedc3ae30394f10b8a54d5cdcf8ee21e185fba272bc8`
MD5	`93f4813285321f3bb05ad55c22b6c6a6`
BLAKE2b-256	`a524328a6ed2dd653d48cb2287a0242ffc884e1244c01a0ca97ad12ca814a0a6`

Hashes for detkit-0.3.3-cp311-cp311-win_arm64.whl

Hashes for detkit-0.3.3-cp311-cp311-win_arm64.whl
Algorithm	Hash digest
SHA256	`08ee502de583411d7c6bbfe467a3d9b177e5baadc3a40e53096c9f96b50762f0`
MD5	`63d10d0447443e60ac5258f341e07745`
BLAKE2b-256	`a4c19df4744688bd08c97e5d4b240f3deb41ed3e78766f761ca79bd8851674cd`

Hashes for detkit-0.3.3-cp311-cp311-win_amd64.whl

Hashes for detkit-0.3.3-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`dc82b076482032f86caf0414463a6d8eeb860916f955c3d6de46391c63ca07fb`
MD5	`113f9a66f68de9b15d4a4cf0749dd050`
BLAKE2b-256	`75a4ca8fe342571f9d953ed32c1300411ff11d722f49aacd2b8b41f4920b850c`

Hashes for detkit-0.3.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for detkit-0.3.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`125c888b3dd086b0e25023929b54a07ba5ea05dca35d060fa0ec3c41964f896a`
MD5	`8548a42ffee7b11faa8b938592e9015c`
BLAKE2b-256	`de35180f94e4d576a04eb60153ad32c41cf1bc55c24fe54594b45e23f221a58c`

Hashes for detkit-0.3.3-cp311-cp311-macosx_10_9_x86_64.whl

Hashes for detkit-0.3.3-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`5f4a9454e18c8aefa8157d72da55707322f35c2342e6cadd9b6b1bb1f3ef5033`
MD5	`6db42c6375113f69d677a0a760625116`
BLAKE2b-256	`09d1ee4846c45386a15e2be6c4444e992b6e74254195ee9e3a4dfa5a448b9bd9`

Hashes for detkit-0.3.3-cp310-cp310-win_arm64.whl

Hashes for detkit-0.3.3-cp310-cp310-win_arm64.whl
Algorithm	Hash digest
SHA256	`5e897b40ca4ff3b16cc5276a9cf8ee58052a03070b63bd6eef8114d08b1e41b9`
MD5	`d56a29fd5bd991af33793aa7a0831aa5`
BLAKE2b-256	`f23968bc989338b482fb0807ff212c49b58c4d6313c7aeb8e338e97c16e16f45`

Hashes for detkit-0.3.3-cp310-cp310-win_amd64.whl

Hashes for detkit-0.3.3-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`dd29703136024b9aebb5462f01107e781d4f373b4efc729a96fdb77d9058c74b`
MD5	`b5c3534268024420ba05bd862079e91a`
BLAKE2b-256	`ae50c9f6a966c4a0fde2d005665b1b770fb1d89a3abf38d1955a42aa95abdf1b`

Hashes for detkit-0.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for detkit-0.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`2ff1ee4fd811e7cf503e508d95b931b7c92a25bb6cd282b8a20ad82c9a8db482`
MD5	`fb691bfb261c154c2bf0c087a407b627`
BLAKE2b-256	`f8648492a6fb0f6dc002d440adddb4947a2d155b9e9d7408e6a8a323b816bfdd`

Hashes for detkit-0.3.3-cp310-cp310-macosx_10_9_x86_64.whl

Hashes for detkit-0.3.3-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`e711f212aa914dfe65fa23893b034825c71ab1384f9395b2a6ef741561265bca`
MD5	`fb7c2ba48b0759cb3f792e11f844651e`
BLAKE2b-256	`405697e11242fe96e48b828b449731daf2697695423e72f83abb1c8bf598ae48`

Hashes for detkit-0.3.3-cp39-cp39-win_arm64.whl

Hashes for detkit-0.3.3-cp39-cp39-win_arm64.whl
Algorithm	Hash digest
SHA256	`936f3f8086450b1f72c0f5f61e02086cc56934f7dac8e331719aaba3c753642e`
MD5	`c6cee9e81ec66093c3fdded6f3cbfe6f`
BLAKE2b-256	`92e57ba5fd7faccb8bc15175fc7064f0bfc974478a938dcd41fe24e629bc4b1e`

Hashes for detkit-0.3.3-cp39-cp39-win_amd64.whl

Hashes for detkit-0.3.3-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`af8232c0dc8fe5ba068b0c4f8da936ec76b16419e0d4ee1e6f0f7f8e62ae0bbc`
MD5	`992f2a46b4c3dd771eee432c6cc1c4a5`
BLAKE2b-256	`081f003619faa1c2c1a433d8556d45355380b4696c8f85d1189f8ee518293234`

Hashes for detkit-0.3.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for detkit-0.3.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`2aa8e3c008219b5a4b8d586165a377c6920c25af0033ff20275ae1ffe5bbac02`
MD5	`ece7941b66cf77ecafef0904dd58baf5`
BLAKE2b-256	`d26a5b0abb54fcfa0482feeedba3be78620932cb9525ef51ca4376c3dc4cff94`

Hashes for detkit-0.3.3-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for detkit-0.3.3-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`af01d3cf0624bb622a76cfac435b238f0ba065234e4b14c912dda02437100a8a`
MD5	`ae092b5e1b625d3c7f0e6e14d2584912`
BLAKE2b-256	`d8b5fd52d010e50b8f3463729afd8394ca0b8f112a5c76595124cdb53bb4071e`