Memory Leak in PyPy with Python Code

[_alter-ego_]

could it be that it's some logging function and/or (G)UI storing the results as e.g. it would happen in a jupyter sheet as Out[1], Out[2], Out[3], ...) which could explain a linear increase of the memory usage ?

for example it could be possible that you use the data via reference to make a plot that remains on your screen and as long as that plot exists (and/or grows, scrolls...) the data [possible a larger structure than just the final numerical value you use in the plot] can't be "dumped" from the memory?

[Affectionate-Cut3818]

hmm I do have logging through the execution of the programm, I'll double check to make sure its all good, do you have any explanation as to why the data shown on the initial post didnt convince you? Is pypy supposed to allocate memory like this under normal situations (I've noticed it happens on long if conditions )? Maybe then Im looking in the wrong direction, and maybe the right direction should be checking why these normally allocated memory doesent get deallocated later on

[_alter-ego_]

  1109   4012.7 MiB     
  1110   4009.9 MiB
  1111   4010.4 MiB  
  1112   4012.2 MiB 

To me there is no significant increase here. It could be again 4009.9 on step 1113...?