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Pure-Python implementation of the Tonelli-Shanks algorithm for calculating a square root modulo a prime.

PyPI version and link. Read the Docs documentation status. GitHub Actions status. Coveralls test coverage summary.

Purpose

This library provides a pure-Python implementation of the Tonelli-Shanks algorithm. Based on a simple implementation, this library prioritizes portability over performance.

Installation and Usage

This library is available as a package on PyPI:

python -m pip install tonellishanks

The library can be imported in the usual way:

from tonellishanks import tonellishanks

Development

All installation and development dependencies are fully specified in pyproject.toml. The project.optional-dependencies object is used to specify optional requirements for various development tasks. This makes it possible to specify additional options (such as docs, lint, and so on) when performing installation using pip:

python -m pip install ".[docs,lint]"

Documentation

The documentation can be generated automatically from the source files using Sphinx:

python -m pip install ".[docs]"
cd docs
sphinx-apidoc -f -E --templatedir=_templates -o _source .. && make html

Testing and Conventions

All unit tests are executed and their coverage is measured when using pytest (see the pyproject.toml file for configuration details):

python -m pip install ".[test]"
python -m pytest

Alternatively, all unit tests are included in the module itself and can be executed using doctest:

python src/tonellishanks/tonellishanks.py -v

Style conventions are enforced using Pylint:

python -m pip install ".[lint]"
python -m pylint src/tonellishanks

Contributions

In order to contribute to the source code, open an issue or submit a pull request on the GitHub page for this library.

Versioning

The version number format for this library and the changes to the library associated with version number increments conform with Semantic Versioning 2.0.0.

Publishing

This library can be published as a package on PyPI via the GitHub Actions workflow found in .github/workflows/build-publish-sign-release.yml that follows the recommendations found in the Python Packaging User Guide.

Ensure that the correct version number appears in pyproject.toml, and that any links in this README document to the Read the Docs documentation of this package (or its dependencies) have appropriate version numbers. Also ensure that the Read the Docs project for this library has an automation rule that activates and sets as the default all tagged versions.

To publish the package, create and push a tag for the version being published (replacing ?.?.? with the version number):

git tag ?.?.?
git push origin ?.?.?

Release files for tonellishanks 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tonellishanks 0.1.1
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tonellishanks-0.1.1.tar.gz 5.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for tonellishanks 0.1.1
File Interpreter ABI Platform
tonellishanks-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 10.8 kB

Release files / tonellishanks-0.1.1.tar.gz

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Signed by GitHub Actions, verified by PyPI on Dec 15, 2024.

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Release files / tonellishanks-0.1.1-py3-none-any.whl

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Size 5.5 kB
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What is trusted publishing?
Yes
Uploaded via twine/6.0.1 CPython/3.12.8

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Dec 15, 2024.

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0.1.1 This release

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