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* Trying to time every solution * Proposal 2 for timing PE solutions: - Use pytest fixture along with --capture=no flag to print out the top DURATIONS slowest solution at the end of the test sessions. - Remove the print part and try ... except ... block from the test function. * Proposal 3 for timing PE solutions: Completely changed the way I was performing the tests. Instead of parametrizing the problem numbers and expected output, I will parametrize the solution file path. Steps: - Collect all the solution file paths - Convert the paths into a Python module - Call solution on the module - Assert the answer with the expected results For assertion, it was needed to convert the JSON list object to Python dictionary object which required changing the JSON file itself. * Add type hints for variables * Fix whitespace in single_qubit_measure
The Algorithms - Python
All algorithms implemented in Python (for education)
These implementations are for learning purposes only. Therefore they may be less efficient than the implementations in the Python standard library.
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