mike bayer added the comment:

in response to ezio, I poked around the source here, since I've never been sure 
if re.compile() cached its result or not.   It seems to be the case in 2.7 and 
3.2 also - 2.7 uses a local caching scheme and 3.2 uses functools.lru_cache, 
yet we don't see as much of a slowdown with 3.2.

so it seems like the caching behavior is precedent here, but I would revert 
re.py's caching scheme to the one used in 2.7 if the functools.lru_cache can't 
be sped up very significantly.  ideally lru_cache would be native.

also does python include any kind of benchmarking unit tests ?   over in SQLA 
we have an approach that fails if the call-counts of various functions, as 
measured by cProfile, fall outside of a known range.   it's caught many issues 
like these for me.

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<http://bugs.python.org/issue16389>
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