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Testing Knapsack Algorithm Implementation in TheAlgorithms/Python

This test suite validates the implementation of the knapsack algorithm in Python, ensuring correct functionality for different scenarios including base cases, simple inputs, and complex optimization problems.

Test Coverage Overview

The test suite provides comprehensive coverage of the knapsack algorithm implementation through three main test cases:

Base case testing with empty and single-item scenarios
Simple case testing with small input sets
Complex case testing with larger capacity and multiple items

Implementation Analysis

The testing approach utilizes Python’s unittest framework with assertion-based verification. Each test method focuses on a specific scenario, using carefully selected input values to verify the algorithm’s optimization logic.

The implementation follows standard unit testing patterns with clear test case isolation and explicit input/output validation.

Technical Details

Testing tools and configuration:

Python unittest framework
Direct module imports for testing
MIT license compliance
Modular test case organization

Best Practices Demonstrated

The test suite demonstrates several testing best practices:

Clear test method naming conventions
Comprehensive docstrings for each test case
Systematic coverage of edge cases and normal scenarios
Independent test cases with specific assertions

thealgorithms/python

knapsack/tests/test_knapsack.py

            
"""
Created on Fri Oct 16 09:31:07 2020

@author: Dr. Tobias Schröder
@license: MIT-license

This file contains the test-suite for the knapsack problem.
"""

import unittest

from knapsack import knapsack as k


class Test(unittest.TestCase):
    def test_base_case(self):
        """
        test for the base case
        """
        cap = 0
        val = [0]
        w = [0]
        c = len(val)
        assert k.knapsack(cap, w, val, c) == 0

        val = [60]
        w = [10]
        c = len(val)
        assert k.knapsack(cap, w, val, c) == 0

    def test_easy_case(self):
        """
        test for the base case
        """
        cap = 3
        val = [1, 2, 3]
        w = [3, 2, 1]
        c = len(val)
        assert k.knapsack(cap, w, val, c) == 5

    def test_knapsack(self):
        """
        test for the knapsack
        """
        cap = 50
        val = [60, 100, 120]
        w = [10, 20, 30]
        c = len(val)
        assert k.knapsack(cap, w, val, c) == 220


if __name__ == "__main__":
    unittest.main()