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Code Coverage is basically a measurement to measure a degree to which the source code of a program is executed when a particular test suite runs.

To read more about it check out:

https://confluence.atlassian.com/clover/about-code-coverage-71599496.html

https://stackoverflow.com/questions/195008/what-is-code-coverage-and-how-do-you-measure-it

https://en.wikipedia.org/wiki/Code_coverage

etc.

Here I have made a basic XOR neural net in numpy. So there are two python codes predict.py and testr.py. The first one is where I have made the neural net code and in testr.py I import that function to do code coverage.

Check out the code:

https://github.com/rajanarasimhan/Code-Coverage

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