Improving numpy import time

[cdavid]

Ok, here is a serie of patches to speed up numpy import times.

First one, postponing urllib2 import. All test pass with this one.

[cdavid]

Postpone urllib2 import: cut 1/6th of numpy import time on my machine

[cdavid]

Another patch to postpone pydoc, inspect and compiler imports. BOth patchs applied cut 1/3 of import times (it looks like urrlib2 depends on inpsect, so the second one is not useful wo the first one)

[rkern]

urllib2.patch and compiler_and_co.patch have been checked in as r5339. Any other opportunities?

[cdavid]

I don't think there are any other big hotspots. Importing numpy.core alone is 45 ms (vs 80 for the whole numpy). I think we are in the diminishing returns zone after that. ctypes is pretty slow to import (maybe 3-4 ms, another 10 %). After that, I should really use something better to measure, because I have my home on NFS here, which may add some latency (numpy in HOME).