Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (
Help us improve Python packaging - Donate today!

A number theory package

Project Description

# pryme

## written by J. Alex Ruble (Calamitizer)

([GitHub repository](

## Overview

Note: This module is early in development and not too much super-cool stuff is implemented. Check it out if you're curious, though. The `Decomposition` class is pretty nifty.

This is (/ will be) a Python module for various number-theoretic operations and combinatorial structures. Certain major functions are memoized to disk for efficiency. For example, output data for `decompose()` (which computes the prime factorization of its argument) is stored in `./memo/decompose.pryme`.

This module is *not* intended to be suitable or efficient for large primes (> 2^64). The focus of this module is number theory on a more mundane scale. For efficient large primality tests and factorizations, the user is directed towards such modules as `gmpy2` and `SymPy`.

## Usage Guide


## Changelog

### v0.2 (21 March '16)

* Miller-Rabin primality test implemented.
* `Decomposition`s are properly memoized.
* `Decomposition` testing script begun.

### v0.1 (13 March '16)

This is the first pushed version of pryme. Noteworthy features: the `Decomposition` class and various utility decorators.

## Jolly Cooperation

All contributions to and optimizations of this project are welcome. Just fork pryme on GitHub and follow your heart.

## Implementation

This code is written in Python 2.7.3. (So far) only Python standard library modules are used.

## Author

You can reach the author (Alex Ruble) most easily via GitHub ([Calamitizer](, email ([](, or Twitter ([@aknifeallblade](

## License

This software has no associated copyrights whatsoever (*i*.*e*. an [unlicense]( See `LICENSE.txt` for the full description. Crediting me is appreciated, but not required.

Release History

This version
History Node


History Node


Download Files

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

Filename, Size & Hash SHA256 Hash Help File Type Python Version Upload Date
(5.9 kB) Copy SHA256 Hash SHA256
Source None Mar 21, 2016

Supported By

Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Google Google Cloud Servers