semvec/pypi-packages huggingface dataset:
dl-plus-extractor-un1def-ntsradio 0.2.0
A dl-plus extractor plugin for NTS Radio
License: MIT
Requires Python: >=3.8

# dl-plus-extractor-un1def-ntsradio

A [dl-plus](https://github.com/un-def/dl-plus) extractor plugin for [NTS Radio](https://www.nts.live/)

## Included extractors

  * `un1def/ntsradio:episode` — episodes (`https://www.nts.live/shows/<show>/episodes/<episode>`)
donuts-python 0.0.5
Python binding to Donuts
License: MIT
Requires Python: >=3.7,<4.0
Keywords: computer algebra,multivariate polynomial arithmetic

Donuts-Python
=============

.. image:: https://badge.fury.io/py/donuts-python.svg
    :target: https://pypi.org/project/donuts-python/
    :alt: PyPI version

.. image:: https://github.com/tueda/donuts-python/workflows/Test/badge.svg?branch=main
    :target: https://github.com/tueda/donuts-python/actions?query=branch:main
    :alt: Test

.. image:: https://readthedocs.org/projects/donuts-python/badge/?version=latest
    :target: https://donuts-python.readthedocs.io/en/latest/
    :alt: Documentation Status

Python binding to the `Donuts`_ wrapper for the `Rings`_ library by Stanislav Poslavsky.


Requirements
------------

* Python 3.7 or later
* Java 8 or later


Installation
------------

.. code:: shell

    pip install donuts-python


Example
-------

.. code:: python

    >>> from donuts import *
    >>> a = Polynomial('1 + x + y')
    >>> b = Polynomial('1 + y + z')
    >>> g = a + b
    >>> g
    Polynomial('2+z+2*y+x')
    >>> ag = a * g
    >>> bg = b * g
    >>> ag.gcd(bg)  # must be equal to g
    Polynomial('2+z+2*y+x')
    >>> ag / bg  # same as RationalFunction(ag, bg)
    RationalFunction('(1+y+x)/(1+z+y)')
    >>> Polynomial('2*x^2 - 2*x^3 + 2*x^2*y - 2*x^3*y').factors
    (Polynomial('-2'), Polynomial('x'), Polynomial('x'), Polynomial('-1+x'), Polynomial('1+y'))


Development
-----------

.. The code is tested by "readme_dev" in .github/workflows/test.yml and .gitlab-ci.yml.

.. code:: shell

    git submodule update --init
    poetry install
    poetry run invoke prepare

    poetry run invoke build

    poetry run invoke fmt
    poetry run invoke lint
    poetry run invoke test
    poetry run invoke bench
    poetry run invoke doc

    DONUTS_PYTHON_BACKEND=pyjnius poetry run invoke test
    DONUTS_PYTHON_BACKEND=py4j    poetry run invoke test
    DONUTS_PYTHON_BACKEND=jpype   poetry run invoke test

    poetry run invoke build --sdist --wheel


Acknowledgements
----------------

This software was developed as part of the project supported by JSPS KAKENHI Grant Number 19K03831.


License
-------

Donuts-Python is distributed under the MIT license.

The wheel contains a fat JAR file generated from the following dependencies:

* `Donuts`_ (MIT)
* `Rings`_ (Apache 2.0)
* `libdivide4j`_ (Apache 2.0)
* `Combinatorics for Java`_ (Apache 2.0)
* `Apache Commons Math`_ (Apache 2.0)
* `GNU Trove`_ (LGPL 2.1)


.. _Donuts: https://github.com/tueda/donuts
.. _Rings:  https://github.com/PoslavskySV/rings
.. _libdivide4j: https://github.com/PoslavskySV/libdivide4j
.. _Combinatorics for Java: https://github.com/PoslavskySV/combinatorics
.. _Apache Commons Math: https://github.com/apache/commons-math
.. _GNU Trove: https://bitbucket.org/trove4j/trove