Merge your code efficiently

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(MicroPython)

Whatever your programs are doing, they often have to deal with vast amounts of
data. This data is usually represented and manipulated in the form of strings.
However, handling such a large quantity of input in strings can be very
ineffective once you start manipulating them by copying, slicing, and modifying.
Why?

Let's consider a small program which reads a large file of binary data, and
copies it partially into another file. To examine out the memory usage of this
program, we will use memory_

We found our hard to diagnose Python memory leak problem in numpy and numba using C/C++.  It turned out that the numpy array resulting from the above operation was being passed to a numba generator compiled in "nopython" mode. This generator was not being iterated to completion, which caused the leak.