Hi, I accidently stumbled upon this odd behavior by numpy.any. The following code leaks memory -
for i in xrange(10000000):
print N.any({'whatever': N.arange(10000000)})
Ofcourse, I called "any" on a dict object by accident, but it should not
really leak memory.
I am running numpy version 1.0.4 with python 2.5.2
Cheers,
Suchindra
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