<commit_before><commit_msg>Added README.rst<commit_after>Oompah.py
=========

See: http://www.leedsdatamill.org/blog/oompah-py-big-brass-meets-big-data

Code and data needed to generate the score and parts for an approximately
10minute composition for brass band representing foot-fall data collected in
the city of Leeds.

Requirements
------------

Python 2.7+
Lilypond 2.14.2+

Usage
-----

The ``make`` command is your best bet::

    make

Will generate a lilypond and PDF for the score and each part along with a
``score.midi`` file so you get a sense of what it'll sound like::

    make clean

Cleans up all the parts and Lilypond related junk.
{'fraction_non_alphanumeric': 0.10736196319018405, 'fraction_numerical': 0.012269938650306749, 'mean_word_length': 3.5985915492957745, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 1, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '2669968', 'n_tokens_mistral': 208, 'n_tokens_neox': 199, 'n_words': 83}