Skip to main content

Multi-valued logics.

Project description

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, this package is also available on anaconda 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 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:

Project details


Download files

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

Source Distribution

mvlogics-0.9.1.tar.gz (14.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mvlogics-0.9.1-py3-none-any.whl (13.8 kB view details)

Uploaded Python 3

File details

Details for the file mvlogics-0.9.1.tar.gz.

File metadata

  • Download URL: mvlogics-0.9.1.tar.gz
  • Upload date:
  • Size: 14.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for mvlogics-0.9.1.tar.gz
Algorithm Hash digest
SHA256 8f6e1679c8800973548278da55aab97423ba13d7a1fe4e50eebb4ccfb452e23a
MD5 a72ad16825d9c587e95f92804a4a40ad
BLAKE2b-256 8e3bbe51ba183795f22ebad0530f1afe46097c40fb5a4ad64b1a9529fbfcb843

See more details on using hashes here.

File details

Details for the file mvlogics-0.9.1-py3-none-any.whl.

File metadata

  • Download URL: mvlogics-0.9.1-py3-none-any.whl
  • Upload date:
  • Size: 13.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for mvlogics-0.9.1-py3-none-any.whl
Algorithm Hash digest
SHA256 983aae8738dab57c2ebb4fdb65433d120ac042d850b0eb68f30c701b029576e2
MD5 bab34fedfa6262ca42cd6c28389049b4
BLAKE2b-256 3d1b7a5ec3246acbc7e4eba35a02f853b49158d7afd9b0d792f4c92f2f852234

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page