Skip to main content

fuzzy-theory: Fuzzy Set Theory and Fuzzy Logic Operations in PyTorch :fire:

Actions Status Actions Status Code style: black

The fuzzy-theory library provides a PyTorch interface to fuzzy set theory and fuzzy logic operations. It uses minimal dependencies to implement these features and is designed to be easy to use and understand. The library is designed to be used in conjunction with PyTorch and is built on top of PyTorch's tensor operations.

A benefit of using fuzzy-theory is that it allows for the creation of fuzzy sets and fuzzy logic operations in a way that is compatible with PyTorch's autograd system. This means that you can use the library to create fuzzy sets and perform fuzzy logic operations in a way that is differentiable and can be used in neural networks and other machine learning models.

Special features :high_brightness:

  1. Compatible with TorchScript: Some classes may use torch.jit.script or torch.jit.trace for production environments.
  2. Differentiable: The library is designed to be used in conjunction with PyTorch and is built on top of PyTorch's tensor operations.
  3. Minimal dependencies: The library uses minimal dependencies to implement these features.
  4. Easy to use: The library is designed to be easy to use and understand, with a simple API that is similar to PyTorch's tensor operations.
  5. Visualization: Formulas are written with sympy for LaTeX rendering and plots are stylized with scienceplots for publication-ready figures.

Linting :mag:

The src/ and tests/ trees are linted separately, since test code is intentionally held to different standards than library code (e.g. white-box tests reaching into private/internal attributes is expected, not a defect).

# lint the library itself (this is what CI runs)
pylint src/fuzzy

# lint the test suite, using its own scoped config (tests/.pylintrc)
pylint --rcfile=tests/.pylintrc tests

The --rcfile=tests/.pylintrc flag is required - pylint's config discovery only searches upward from the current working directory, so a .pylintrc placed inside tests/ is not picked up automatically by a bare pylint tests invocation from the repository root.

Download files

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

Source Distribution

fuzzy_theory-0.0.9.tar.gz (88.0 kB view details)

Uploaded Source

Built Distribution

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

fuzzy_theory-0.0.9-py3-none-any.whl (111.1 kB view details)

Uploaded Python 3

File details

Details for the file fuzzy_theory-0.0.9.tar.gz.

File metadata

  • Download URL: fuzzy_theory-0.0.9.tar.gz
  • Upload date:
  • Size: 88.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for fuzzy_theory-0.0.9.tar.gz
Algorithm Hash digest
SHA256 242078cb9fe1381c4dccd797c02080d244a743c29d7db5edc14485938d2aecf5
MD5 ce6e6caeeae36986f504b96b68b447c2
BLAKE2b-256 c05fd67bb60b95a074b431074f2832347bf53d3a193c780da2122475c31e45f1

See more details on using hashes here.

File details

Details for the file fuzzy_theory-0.0.9-py3-none-any.whl.

File metadata

  • Download URL: fuzzy_theory-0.0.9-py3-none-any.whl
  • Upload date:
  • Size: 111.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for fuzzy_theory-0.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 d82beebc04e76a6cf4224f4b51f28a95bb1928d351137cfecb64f35c2640cd87
MD5 f89258e64a906908e706b644a1fc5652
BLAKE2b-256 acff057f7281e56c53ba6b6d7afe942dcdb422ffaf02197bdaaca89a0b5f0f88

See more details on using hashes here.

Release history Release notifications | RSS feed

0.1.0

2 files

This release

0.0.9 This release

2 files

0.0.8

2 files

0.0.7

2 files

0.0.6

2 files

0.0.5

2 files

0.0.4

2 files

0.0.3

2 files

0.0.2

2 files

0.0.1

2 files

0.0.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page