Metadata-Version: 2.4
Name: mvlogics
Version: 0.9.1
Summary: Multi-valued logics.
Author-email: Jonathan Dung <jonathandung@yahoo.com>
Maintainer-email: Jonathan Dung <jonathandung@yahoo.com>
License-Expression: MIT
Project-URL: Homepage, https://github.com/jonathandung/mvlogics
Project-URL: Documentation, https://mvlogics.readthedocs.io/en/stable/api/index.html
Project-URL: Repository, https://github.com/jonathandung/mvlogics.git
Project-URL: Issues, https://github.com/jonathandung/mvlogics/issues
Project-URL: Changelog, https://github.com/jonathandung/mvlogics/blob/main/CHANGELOG.md
Project-URL: Download, https://pypi.org/project/mvlogics/#files
Project-URL: Release Notes, https://github.com/jonathandung/mvlogics/releases
Keywords: mathematical,object-oriented,feature-rich
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Python :: 3.15
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Education
Classifier: Topic :: Software Development :: Version Control :: Git
Classifier: Natural Language :: English
Classifier: Typing :: Typed
Requires-Python: >=3.12
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS.md
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Dynamic: license-file

# mvlogics

In math, specifically the study of logic, one occassionally finds it useful to consider logical systems other than Boolean logic, that is, true
(verum) and false (falsum). There may be logics in which a member represents a statement of unknown truth, for instance. This library aims to
implement the most common of these logics to facilitate mathematical research.

## Setup

Besides [pip](https://pypi.org/project/mvlogics/), this package is also [available on
anaconda](https://anaconda.org/channels/conda-forge/packages/mvlogics/overview) via the conda-forge channel.

You can install using either conda or pip, or directly from roughly fortnightly GitHub releases; no extra setup is needed.

See the [installation guide](https://mvlogics.readthedocs.io/en/stable/installation.html) for more.

## Version

This is mvlogics v0.9.1.

This library is currently in the beta stage. It has not been thoroughly tested and logic implementations may contain errors.

## Remarks

This library is currently quite unoptimized, but the creator does not see much need or room for performance improvement.

Below are some resources related to multi-valued logics:

- [Wikipedia page](https://en.wikipedia.org/wiki/Many-valued_logic)
- [Open Logic Project introduction](https://builds.openlogicproject.org/content/many-valued-logic/many-valued-logic.pdf)
- [Book by Grzegorz Malinowski](https://academic.oup.com/book/54994)
- [Academic paper](https://www.researchgate.net/publication/259645593_A_Treatise_on_Many-Valued_Logics)
