NLG4Patch
---------

The goal of this project is to generate from a (unified) diff input,
a natural language description of the changes implied by the patch.


>>> from nlg4patch.unidiff import parse_unidiff
>>> from nlg4patch.planner import content_planning
>>> from nlg4patch.microplanner import microplanning
>>> 
>>> with open('sample.diff') as f:
>>>     patch_info = parse_unidiff(f)
>>>     plan = content_planning(patch_info)
>>>     micro = microplanning(plan)
>>>     for p in micro:
>>>         print p.realise()

There is 1 modified file from 1 directory. All changes are summarized
in 10 additions, 6 deletions and 2 modifications.
There is 1 updated file in directory /path/to and it has no extension.
All changes are summarized in 10 additions, 6 deletions and 2 modifications.