On Wed, Jul 30, 2008 at 4:12 PM, Andrew Dalke <dalke@dalkescientific.com> 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.