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All Algorithms implemented in Python
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* Add file for testing Project Euler solutions * Remove the importlib import * Update project_euler/solution_test.py Co-authored-by: Christian Clauss <cclauss@me.com> * Small tweaks to project_euler/solution_test.py * Test Project Euler solutions through Travis * Improved testing for Project Euler solutions: - Renamed file so that it isn't picked up by pytest - Fail fast on validating solutions through Travis CI * Update validate_solutions.py * Use namedtuple for input parameters and answer - Remove logging - Remove unnecessary checks for PROJECT_EULER_PATH as Travis CI picks up the same path * Fix flake8 errors: line too long * Small tweaks to validate_solutions.py * Add all answers & back to using dictionary * Using pytest for testing Project Euler solutions - As we want to fail fast on testing solutions, we need to test using this script first before we use tests written by the author. - As pytest stops testing as soon as it receives a traceback, we need to use pytest-subtests to tell pytest to test all the iterations for the function with given parameters. * Print error messages in oneline format * Separated answers into a separate file: - Add custom print function to print all the error messages at the end of all the tests - Let Travis skip if this failed Co-authored-by: Christian Clauss <cclauss@me.com> |
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|---|---|---|
| .github | ||
| arithmetic_analysis | ||
| backtracking | ||
| bit_manipulation | ||
| blockchain | ||
| boolean_algebra | ||
| cellular_automata | ||
| ciphers | ||
| compression | ||
| computer_vision | ||
| conversions | ||
| data_structures | ||
| digital_image_processing | ||
| divide_and_conquer | ||
| dynamic_programming | ||
| file_transfer | ||
| fuzzy_logic | ||
| genetic_algorithm | ||
| geodesy | ||
| graphics | ||
| graphs | ||
| greedy_method | ||
| hashes | ||
| images | ||
| linear_algebra | ||
| machine_learning | ||
| maths | ||
| matrix | ||
| networking_flow | ||
| neural_network | ||
| other | ||
| project_euler | ||
| quantum | ||
| scheduling | ||
| scripts | ||
| searches | ||
| sorts | ||
| strings | ||
| traversals | ||
| web_programming | ||
| .coveragerc | ||
| .gitignore | ||
| .gitpod.yml | ||
| .travis.yml | ||
| CONTRIBUTING.md | ||
| DIRECTORY.md | ||
| LICENSE.md | ||
| pytest.ini | ||
| README.md | ||
| requirements.txt | ||
| Travis_CI_tests_are_failing.md | ||
The Algorithms - Python
All algorithms implemented in Python (for education)
These implementations are for learning purposes. They may be less efficient than the implementations in the Python standard library.
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List of Algorithms
See our directory.