Niels Provos wrote:
> Good morning,
>
> not sure if I got the right list, but I hope that somebody here will
> be able to shed some light on a Python-related memory problem. The
> following code eats over >2GB of memory and fails with MemoyError
> after just a few iterations.
Here is a minimal example that demonstrates the problem. It appears that
assigning a numpy scalar to an element in an n-D Numeric array (where n is
strictly > 1) leaks memory. Neither the data-types of the Numeric array nor the
numpy scalar type seem to matter.
import Numeric
import numpy
a = Numeric.zeros([1, 1])
while True:
a[0, 0] = numpy.int32(0)
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpret it as though it had
an underlying truth."
-- Umberto Eco
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