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# Test the perf of some Markdown implementations.
1. Generate some test cases:
./gen_perf_cases.py [limit]
for example:
./gen_perf_cases.py 1000
This created a bunch of (small) test .txt files in "cases". These are
derived from a bunch of [Python Cookbook][] data. "limit" is a max number
of "recipes" in the data set for which to generate cases.
The test files are small and don't necessarily a lot of markup, so this
may not really be a good *breadth* perf suite -- it *is* real data though.
2. Process the Markdown for each "cases/*.txt" with Markdown.pl, markdown.py
and markdown2.py:
./perf.py
# TODO
- strip out the .text cases that markdown.py blows up on? (encoding problems)
- add some larger perf suites (perhaps those test case files that all
Markdown implementations pass)
- add markdown.php timing
[Python Cookbook]: http://code.activestate.com/recipes/
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