* 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
Project Euler is a series of challenging mathematical/computer programming problems that will require more than just mathematical
insights to solve. Project Euler is ideal for mathematicians who are learning to code.
Here the efficiency of your code is also checked.
I've tried to provide all the best possible solutions.