Owndata 2.5 hack

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I expected that if reference counts were processed correctly, the Python garbage collection would frequently enough release the memory used by the output array if it has the same name and is used repeatedly. So I tested it on some dummy but voluminous data with this code:. Here the array named "b" is reused many times and its memory, borrowed by adc3 from the heap, is expected to be returned to the system.

I used the gnome-system-monitor to check. Contrary to my expectations, the memory owned by python grew rapidly and could only be released by quitting the program I use IPython. For comparison, I tried the same procedure with the standard NumPy functions, zeros and copy :. As you can see, the latter code does not make any memory build-up.

All in vain: the problem persisted. The author provides an extension program matsq that creates an array and returns it. When I tried to use the calls suggested by the author:.

Rather, it's with your malloc , assigned to pout then never free d. When this ndarray is deallocated, the pointer will not be freed. IOW, you're observing exactly the "will not be freed" behavior so clearly documented, and are not taking the step specifically recommended should you want to avoid said behavior. Stack Overflow for Teams — Collaborate and share knowledge with a private group.

Create a free Team What is Teams? Collectives on Stack Overflow. Learn more. Asked 7 years ago. Active 7 years ago. Viewed 2k times. The program works properly now. I agree to the Privacy Policy. The comment form collects your name, email and content to allow us keep track of the comments placed on the website.

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