I believe there is a memory leak in cPickle.  I
have a parallel code which uses array() and indices()
from Numeric to massage data buffers before being sent
and received by Pypar.  Pypar subsequently uses cPickle
to pickle the data.  After many hours of execution, my
code crashes with one of the following error messages
(depending upon the run):


    a = zeros(shape, typecode, savespace)
MemoryError:  can't allocate memory for array


or:


    s = dumps(x, 1)
MemoryError:  out of memory


I have since modified my code to use a different data
format so cPickle is no longer used from PyPar and now
the code runs fine.

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Can you provide a test case that demonstrates how the memory
is exhausted? Without a test case, it is unlikely that we
will be able to find the suspected leak.

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Please, could you verify if this problem persists in Python 2.3.4
or 2.4?

If yes, in which version? Can you provide a test case?

If the problem is solved, from which version?

Note that if you fail to answer in one month, I'll close this bug
as "Won't fix".

Thank you! 

.    Facundo

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Closing due to lack of response. cPickle is such a complex
module, without a test case the leak cannot be found.