On Wed, Jul 30, 2008 at 4:12 PM, Andrew Dalke <[EMAIL PROTECTED]> wrote: > 4) numpy.testing takes 0.041 seconds to import. The text I quoted > above says that it's a numpy requirement that 'testing' always be > imported, even though I'm hard pressed to figure out why that's > important.
I suppose it's necessary for providing the test() and bench() functions in subpackages, but I that isn't a good reason to impose upon all users the time required to set up numpy.testing. > Assuming it is important, 0.020 seconds is spent > importing 'difflib' > > difflib: 0.020 (utils) > heapq: 0.016 (difflib) > itertools: 0.003 (heapq) > operator: 0.003 (heapq) > bisect: 0.005 (heapq) > _bisect: 0.003 (bisect) > _heapq: 0.003 (heapq) > > which is only used in numpy.testing.utils:assert_string . That can > be deferred. > > Similarly, > > numpytest: 0.012 (numpy.testing) > glob: 0.005 (numpytest) > fnmatch: 0.002 (glob) > shlex: 0.006 (numpytest) > collections: 0.003 (shlex) > numpy.testing.utils: 0.000 (numpytest) > > > but notice that 'glob' while imported is never used in 'numpytest', > and that 'shlex' can easily be a deferred import. This saves (for > the common case) 0.01 seconds. Thanks for taking the time to find those; I just removed the unused glob and delayed the import of shlex, difflib, and inspect in numpy.testing. _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
