Overview

November 27, 2016 ยท View on GitHub

======== Overview

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* - docs
  - |docs|
* - tests
  - | |travis| |appveyor| |requires|
    | |coveralls| |codecov|
* - package
  - |version| |downloads| |wheel| |supported-versions| |supported-implementations|

.. |docs| image:: https://readthedocs.org/projects/python-markov-novel/badge/?style=flat :target: https://readthedocs.org/projects/python-markov-novel :alt: Documentation Status

.. |travis| image:: https://travis-ci.org/accraze/python-markov-novel.svg?branch=master :alt: Travis-CI Build Status :target: https://travis-ci.org/accraze/python-markov-novel

.. |appveyor| image:: https://ci.appveyor.com/api/projects/status/github/accraze/python-markov-novel?branch=master&svg=true :alt: AppVeyor Build Status :target: https://ci.appveyor.com/project/accraze/python-markov-novel

.. |requires| image:: https://requires.io/github/accraze/python-markov-novel/requirements.svg?branch=master :alt: Requirements Status :target: https://requires.io/github/accraze/python-markov-novel/requirements/?branch=master

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.. |codecov| image:: https://codecov.io/github/accraze/python-markov-novel/coverage.svg?branch=master :alt: Coverage Status :target: https://codecov.io/github/accraze/python-markov-novel

.. |version| image:: https://img.shields.io/pypi/v/markov-novel.svg?style=flat :alt: PyPI Package latest release :target: https://pypi.python.org/pypi/markov-novel

.. |downloads| image:: https://img.shields.io/pypi/dm/markov-novel.svg?style=flat :alt: PyPI Package monthly downloads :target: https://pypi.python.org/pypi/markov-novel

.. |wheel| image:: https://img.shields.io/pypi/wheel/markov-novel.svg?style=flat :alt: PyPI Wheel :target: https://pypi.python.org/pypi/markov-novel

.. |supported-versions| image:: https://img.shields.io/pypi/pyversions/markov-novel.svg?style=flat :alt: Supported versions :target: https://pypi.python.org/pypi/markov-novel

.. |supported-implementations| image:: https://img.shields.io/pypi/implementation/markov-novel.svg?style=flat :alt: Supported implementations :target: https://pypi.python.org/pypi/markov-novel

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Write a random novel using markov chains.

  • Free software: BSD license

Installation

::

pip install markov-novel

Quick Start

::

import markovify
import markov_novel

with open('path/to/corpus.txt') as f:
    text = f.read()
# Build the model.
text_model = markovify.Text(text)
novel = markov_novel.Novel(text_model, chapter_count=1)
novel.write(novel_title='my-novel', filetype='md')

The novel will be written to your current working directory.

Documentation

https://python-markov-novel.readthedocs.io/

Development

To run the all tests run::

tox

Note, to combine the coverage data from all the tox environments run:

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- - Windows
  - ::

        set PYTEST_ADDOPTS=--cov-append
        tox

- - Other
  - ::

        PYTEST_ADDOPTS=--cov-append tox