TheAlgorithms Python Testing: Unit Testing Algorithmic Implementations
The TheAlgorithms/Python repository demonstrates comprehensive Python testing practices using both unittest and pytest frameworks for unit testing. The test suite encompasses diverse algorithmic implementations, from data structures and mathematical functions to scheduling algorithms and image processing. The testing approach emphasizes validation of core functionality, edge cases, and performance characteristics through automated test discovery and execution. Qodo Tests Hub provides developers with deep insights into this repository's testing patterns by enabling exploration of real-world test implementations across different algorithmic domains. Through the platform, developers can analyze how unit tests are structured for complex algorithms, study input validation techniques, and learn best practices for testing mathematical computations, data structures, and processing algorithms. This practical exposure helps developers understand how to effectively test algorithmic implementations while maintaining code quality.
| Path | Test Type | Language | Description |
|---|---|---|---|
| file_transfer/tests/test_send_file.py |
unit
|
python | This Python unit test verifies the send_file function’s socket operations and file transfer workflow using mock objects. |
| linear_algebra/src/test_linear_algebra.py |
unit
|
python | This pytest/unittest hybrid test suite verifies linear algebra operations including vector and matrix manipulations in Python. |
| maths/greatest_common_divisor.py |
unit
|
python | This Python unit test verifies the correct calculation of Greatest Common Divisor using both recursive and iterative implementations. |
| maths/lucas_lehmer_primality_test.py |
unit
|
python | This Python unit test verifies the Lucas-Lehmer primality test implementation for Mersenne numbers. |
| scheduling/non_preemptive_shortest_job_first.py |
unit
|
python | This Python unit test verifies the implementation of Non-preemptive Shortest Job First scheduling algorithm calculations and process management. |
| graphs/tests/test_min_spanning_tree_prim.py |
unit
|
python | This Python unit test verifies the correct implementation of Prim’s Minimum Spanning Tree algorithm by validating edge selection and weight calculations. |
| knapsack/tests/test_knapsack.py |
unit
|
python | This unittest unit test verifies the correctness of knapsack algorithm implementation through base, simple, and complex test cases. |
| graphs/breadth_first_search_shortest_path.py |
unit
|
python | This Python unit test verifies the implementation of Breadth-First Search algorithm for finding shortest paths in an unweighted graph. |
| maths/solovay_strassen_primality_test.py |
unit
|
python | This Python unit test verifies the Solovay-Strassen primality test implementation using Euler’s criterion and Jacobi symbol calculations. |
| data_structures/suffix_tree/tests/test_suffix_tree.py |
unit
|
python | This unittest unit test verifies the pattern searching functionality of a Suffix Tree data structure implementation. |