[Numpy-discussion] Memory leak

[Pietro Bonfa']

Dear Numpy users,

I have a memory leak in my code. A simple way to reproduce my problem is:

import numpy

class test():
    def __init__(self):
        pass

    def t(self):
        temp = numpy.zeros([200,100,100])
        A = numpy.zeros([200], dtype = numpy.float)
        for i in range(200):
            A[i] = numpy.sum( temp[i].diagonal() )

        return A

a = test()
c = [a.t() for i in range(100)]

Running this script will require 1.5 Gb of memory since the 16 mb of
temp arrays are never deallocated.

How can I solve this problem?

Thanks in advances,
Pietro Bonfa'


P.S: I asked the same question also on stack overflow
(http://stackoverflow.com/questions/17085197/is-this-a-memory-leak-python-numpy
)

-- 
Pietro Bonfa' - PhD student
Dipartimento di Fisica e Scienze della Terra "Macedonio Melloni"
Viale delle Scienze 7A
43124 Parma - Italy