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https://hub.njuu.cf/TheAlgorithms/Python.git
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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
26 lines
839 B
YAML
26 lines
839 B
YAML
os: linux
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dist: focal
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language: python
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python: 3.8
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cache: pip
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before_install: pip install --upgrade pip setuptools six
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jobs:
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include:
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- name: Build
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install: pip install pytest-cov -r requirements.txt
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script:
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- pytest --doctest-modules --ignore=project_euler/ --durations=10 --cov-report=term-missing:skip-covered --cov=. .
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- name: Project Euler
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install:
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- pip install pytest-cov
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script:
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- pytest --doctest-modules --durations=10 --cov-report=term-missing:skip-covered --cov=project_euler/ project_euler/
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- name: Project Euler Solution
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script:
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- pytest --tb=short --durations=10 project_euler/validate_solutions.py
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after_success:
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- scripts/build_directory_md.py 2>&1 | tee DIRECTORY.md
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notifications:
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webhooks: https://www.travisbuddy.com/
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on_success: never
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