Hi
I'm running a 64 bit Python 2.5 on an x86 with Solaris. I have a
function I call over 2^32 times and eventually I run out of memory.
The function is
def make_B(deltadates):
numcols=deltadates.shape[0]
B=numpy.zeros((numcols,numcols))
for ind in range(0,numcols): #comment out this loop and all is good
B[ind,0:numcols] = deltadates[0:numcols]
return B
If I comment out the loop lines, my memory is okay. I'm guessing that a
reference is being added to "deltadates" and that the reference count is
going above 2^32 and reseting. Anybody have any ideas about how I can
cure this? Is Numpy increasing the reference count here?
Mathew
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