It would be good to reproduce this with cypari2 alone.
cypari2 is known to have similar kind (?) of problems:
https://github.com/sagemath/cypari2/issues/112


On Thu, Aug 29, 2024 at 6:47 PM Nils Bruin <nbr...@sfu.ca> wrote:
>
> On Thursday 29 August 2024 at 09:51:04 UTC-7 Georgi Guninski wrote:
>
> I observe that the following does not leak:
>
> E=EllipticCurve([5*13,0]) #no leak
> rn=E.root_number()
>
>
> How do you know that doesn't leak? Do you mean that repeated execution of 
> those commands in the same session does not swell memory use?
>
>
> The size of the leak is suspiciously close to a power of two.
>
>
> I don't think you can draw conclusions from that. Processes generally request 
> memory in large blocks from the operating system, to amortize the high 
> overhead in the operation. It may even be the case that 128 Mb is the chunk 
> size involved here! The memory allocated to a process by the operating system 
> isn't a fully accurate measure of memory allocation use in the process 
> either: a heap manager can decide it's cheaper to request some new pages from 
> the operating system than to reorganize its heap and reuse the fragmented 
> space on it. I think for this loop, memory allocation consistently swells 
> with repeated execution, so there probably really is something leaking. But 
> given that it's not in GC-tracked objects on the python heap, one would 
> probably need valgrind information or a keen look at the code involved to 
> locate where it's coming from.
>
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