I think Marco (who works with me) took my suggestion to simplify his
problem code as much as possible before posting a little too literally.
Marco, send in something closer to what you showed me yesterday (which was
about factorization of polynomials of degree 4 in F[X,Y,Z] with F a quite
small finite field).

Vincent, if you are still in Warwick today Marco could show you his code
directly.

John

On 15 December 2017 at 12:13, Vincent Delecroix <20100.delecr...@gmail.com>
wrote:

> You can fill your memory with something simpler
>
>   sage: l = range(10**9)
>
> As far as I can see it has nothing to do with Sage or loops. In Python2
> the range functions constructs a list. And in the above example, the list
> is huge.
>
> Vincent
>
>
> On 15/12/2017 12:06, Marco Caselli wrote:
>
>> Hello there,
>> I am currently having trouble in memory management, I wrote a code that
>> was
>> not supposed to store anything but actually it was using a massive amount
>> of memory. At a first glance, I thought it was related to some function in
>> my code, such as factor() for polynomials in a multivariate ring over a
>> finite field.  I dug a bit deeper and the problem seems even at a lower
>> level:
>>
>> def check_memory(k):
>>
>>> a=get_memory_usage()
>>> silly_function(k)
>>> return get_memory_usage()-a
>>>
>>> def silly_function(k):
>>> for i in range(10^k):
>>> 2+2
>>>
>>
>>
>> Notice that silly_function does not store neither return anything, so the
>> memory usage should be zero.
>> check_memory(9) returned 23446.37109375, this amount is in MB, so those
>> are
>> 23GB. This information is consistent with the data from top. At a second
>> run it returned just 972.62109375, which is still a lot.
>>
>>
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