<commit_before>.. Mrs-MapReduce documentation master file, created by
   sphinx-quickstart on Thu Nov 10 11:44:44 2011.
   You can adapt this file completely to your liking, but it should at least
   contain the root `toctree` directive.

Welcome to the Mrs-MapReduce Documentation page!
================================================

Mrs (pronounced "missus") is a lightweight implementation of MapReduce.  The
name derives from the practice of referring to MapReduce programs by the title
"mister" (e.g., "Mr. Wordcount").  The name "Mrs" is a natural variation on
"Mr" and much more memorable and pronounceable than an arbitrary acronym.

Mrs is a MapReduce implementation that aims to be easy to use and reasonably
efficient.  It is written in Python and where possible builds on existing
solutions to remain lightweight.  Mrs is licensed under the GNU GPL.

The `MapReduce paper <http://labs.google.com/papers/mapreduce.html>`_ provides
an introduction to MapReduce.  The `examples/wordcount.py
<http://code.google.com/p/mrs-mapreduce/source/browse
/examples/wordcount.py>`_ file shows the Mrs WordCount based on the
corresponding program described in the paper.

Helpful resources include:

* the `Mrs project page <http://code.google.com/p/mrs-mapreduce/>`_ (for bug reports and enhancement requests)

* the `Mrs mailing list <http://groups.google.com/group/mrs-mapreduce>`_ (for questions and discussion)

Contents:
---------

About Mrs:
++++++++++
.. toctree::
   :maxdepth: 2

   about_mrs.txt<commit_msg>fixed broken link in documentation<commit_after>.. Mrs-MapReduce documentation master file, created by
   sphinx-quickstart on Thu Nov 10 11:44:44 2011.
   You can adapt this file completely to your liking, but it should at least
   contain the root `toctree` directive.

Welcome to the Mrs-MapReduce Documentation page!
================================================

Mrs (pronounced "missus") is a lightweight implementation of MapReduce.  The
name derives from the practice of referring to MapReduce programs by the title
"mister" (e.g., "Mr. Wordcount").  The name "Mrs" is a natural variation on
"Mr" and much more memorable and pronounceable than an arbitrary acronym.

Mrs is a MapReduce implementation that aims to be easy to use and reasonably
efficient.  It is written in Python and where possible builds on existing
solutions to remain lightweight.  Mrs is licensed under the GNU GPL.

The `MapReduce paper <http://research.google.com/archive/mapreduce.html>`_ provides
an introduction to MapReduce.  The `examples/wordcount.py
<http://code.google.com/p/mrs-mapreduce/source/browse
/examples/wordcount.py>`_ file shows the Mrs WordCount based on the
corresponding program described in the paper.

Helpful resources include:

* the `Mrs project page <http://code.google.com/p/mrs-mapreduce/>`_ (for bug reports and enhancement requests)

* the `Mrs mailing list <http://groups.google.com/group/mrs-mapreduce>`_ (for questions and discussion)

Contents:
---------

About Mrs:
++++++++++
.. toctree::
   :maxdepth: 2

   about_mrs.txt
{'fraction_non_alphanumeric': 0.11887655127367734, 'fraction_numerical': 0.008491182233834096, 'mean_word_length': 4.421238938053097, 'pattern_counts': {'":': 0, '<': 11, '<?xml version=': 0, '>': 11, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, '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': '3164996', 'n_tokens_mistral': 918, 'n_tokens_neox': 841, 'n_words': 361}