Metadata-Version: 2.4
Name: pctheory
Version: 0.0.44
Summary: A package with functionality for atonal music theory
Author-email: Jeffrey Martin <jmartin@jeffreymartincomposer.com>
License-Expression: MIT AND (Apache-2.0 OR BSD-2-Clause)
Project-URL: Homepage, https://fleximeter.github.io/pctheory.html
Classifier: Development Status :: 3 - Alpha
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: networkx
Requires-Dist: pyvis
Dynamic: license-file

# `pctheory`
`pctheory` is a Python library for using atonal music theory. It is useful for both computer-assisted composition in Python and analysis. Some of the many useful features include:
- Set-classes
    - Generate all abstract subsets of a set-class
    - Get Forte and Carter names for a set-class
    - Work with microtonal sets
    - Generate set-class-complexes
- Rows
    - Generate a twelve-tone matrix
    - Generate a rotational array
    - Generate an invariance matrix
    - Load a random all-interval, all-trichord, ten-trichord, or Babbit ten-trichord row
    
`pctheory` is much more specialized than `music21`, and offers substantially more functionality in atonal theory. Additionally, it does not use `music21` objects, so there is less computational overhead when using `pctheory`. It is not difficult to create `music21` objects from `pctheory` objects, which allows `pctheory` to be used along with `music21`.

## Installation
`pctheory` is a Python package and can be installed with the command `pip install pctheory` from the terminal on your computer (Command Prompt or PowerShell on Windows, Terminal on Linux or macOS). Note that you need Python 3.10 or newer.

If the `pip install` command fails, you will need to build the wheel yourself. Create a virtual environment with the packages `build`, `setuptools`, and `wheel` installed. Then run the command `python -m build` from the root of this repository. The wheel will be found in the `dist/` directory.

## Quick start
There are three Jupyter notebooks in this repository that you can consult to get started with `pctheory`.

## Stability
`pctheory` is currently in alpha status. This means that some functionality might not be stable yet. In particular, there isn't unit test coverage for the whole package at this point. However, the core functionality (such as pitch class operations, set-classes, and row functionality) does have test coverage and should be stable.
To see current testing coverage, you can take a look at the tests in the `tests` directory.

## System Requirements
`pctheory` requires Python 3.10 or newer.

## Documentation
Documentation can be found at https://pctheory.readthedocs.io/en/latest/.

## Copyright and license
`pctheory` is copyright © 2024 by Jeffrey Martin. This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. To view the GNU General Public License v.3.0, visit https://www.gnu.org/licenses/gpl-3.0.en.html.
