Hello, everyone. I'm a newcomer here and looking forward to contributing to Numpy core code in the future.
However, there is an obstacle right ahead of me that I don't know how to figure out the corresponding relationship between Numpy python code and its C implementation code. In another word, I really want to know which part of Numpy core C code implements this simple numpy array addition: >>> a = np.array([1, 2, 3]) >>> b = np.array([2, 3, 4]) >>> c = a + b I have built Numpy from source in a virtual environment (via conda), and I know the addition described above might be implemented in loop.c or something like that from StackOverflow, but I want to find a general approach to solve all these similar problems like: where are array transpose implemented? where are array reshape implemented? etc. So I am seeking some tools like GDB and track python step by step. I *can *use gdb to track python, but I can't set breakpoint in Numpy because Numpy's C code isn't part of Python interpreter. So all in all, my final question is that, how can I debug and track Numpy's C code and see which part is executed? I believe there must be a method because the real developers will certainly need to debug. Thanks in advance. And I'm quite new here, so I'm not sure whether I should ask this kind of primitive and naive question here, since the previous discussions seem to be advanced and I can't understand most of them.
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