[Numpy-discussion] Memory leak in array protocol numarray<--numpy

[Francesc Altet]

Hi,

I was tracking down a memory leak in PyTables and it boiled down to a problem 
in the array protocol. The issue is easily exposed by:

for i in range(1000000):
    numarray.array(numpy.zeros(dtype=numpy.float64, shape=3))

and looking at the memory consumption of the process. The same happens with:

for i in range(1000000):
    numarray.asarray(numpy.zeros(dtype=numpy.float64, shape=3))

However, the numpy<--numarray sense seems to work well.

for i in range(1000000):
    numpy.array(numarray.zeros(type="Float64", shape=3))

Using numarray 1.5.1 and numpy 1.0b1

I think this is a relatively important problem, because it somewhat prevents a 
smooth transition from numarray to NumPy. 

Thanks,

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