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        "description": "# pryme\n\n## written by J. Alex Ruble (Calamitizer)\n\n([GitHub repository](https://github.com/Calamitizer/pryme))\n\n## Overview\n\nNote: 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.\n\nThis 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`.\n\nThis 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`.\n\n## Usage Guide\n\n`NotImplemented`\n\n## Changelog\n\n### v0.2 (21 March '16)\n\n* Miller-Rabin primality test implemented.\n* `Decomposition`s are properly memoized.\n* `Decomposition` testing script begun.\n\n### v0.1 (13 March '16)\n\nThis is the first pushed version of pryme. Noteworthy features: the `Decomposition` class and various utility decorators.\n\n## Jolly Cooperation\n\nAll contributions to and optimizations of this project are welcome. Just fork pryme on GitHub and follow your heart.\n\n## Implementation\n\nThis code is written in Python 2.7.3. (So far) only Python standard library modules are used.\n\n## Author\n\nYou can reach the author (Alex Ruble) most easily via GitHub ([Calamitizer](https://github.com/calamitizer)), email ([jaruble@ncsu.edu](mailto:jaruble@ncsu.edu)), or Twitter ([@aknifeallblade](https://twitter.com/aknifeallblade)).\n\n## License\n\nThis software has no associated copyrights whatsoever (*i*.*e*. an [unlicense](http://unlicense.org/)). See `LICENSE.txt` for the full description. Crediting me is appreciated, but not required.\n",
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