(Trying again now that I'm subscribed. BTW, there's no link to the
subscription page from numpy.scipy.org .)
The initial 'import numpy' loads a huge number of modules, even when
I don't need them.
Python 2.5 (r25:51918, Sep 19 2006, 08:49:13)
[GCC 4.0.1 (Apple Computer, Inc. build 5341)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import sys
>>> len(sys.modules)
28
>>> import numpy
>>> len(sys.modules)
256
>>> len([s for s in sorted(sys.modules) if 'numpy' in s])
127
>>> numpy.__version__
'1.1.0'
>>>
As a result, I assume that's the reason my program's startup cost is
quite high.
[josiah:~/src/fp] dalke% time python -c 'a=4'
0.014u 0.038s 0:00.05 80.0% 0+0k 0+1io 0pf+0w
[josiah:~/src/fp] dalke% time python -c 'import numpy'
0.161u 0.279s 0:00.44 97.7% 0+0k 0+9io 0pf+0w
My total runtime is something like 1.4 seconds, and the only thing
I'm using NumPy for is to make an array of doubles that I can pass to
a C extension. (I could use the array module or ctypes, but figured
numpy is more useful for downstream code.)
Why does numpy/__init__.py need to import all of these other modules
and submodules? Any chance of cutting down on the number, in order
to improve startup costs?
Andrew
[EMAIL PROTECTED]
_______________________________________________
Numpy-discussion mailing list
Numpy-discussion@scipy.org
http://projects.scipy.org/mailman/listinfo/numpy-discussion
