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Testing Maximum Subarray Dynamic Programming Implementation in javascript-algorithms

This test suite validates the dynamic programming implementation of the Maximum Subarray algorithm, ensuring correct identification of contiguous subarrays with the largest sum. The tests cover various array scenarios including empty arrays, positive/negative sequences, and mixed number combinations.

Test Coverage Overview

The test suite provides comprehensive coverage of the dpMaximumSubarray function, examining multiple array scenarios.

Empty array handling
Arrays with zeros and single elements
Positive number sequences
Negative number sequences
Mixed positive/negative combinations

Implementation Analysis

The testing approach utilizes Jest’s describe/it pattern for structured test organization. Each test case employs expect().toEqual() assertions to verify exact array matching, ensuring the algorithm correctly identifies maximum subarrays using dynamic programming principles.

The implementation validates both edge cases and common scenarios, with particular attention to boundary conditions and array transformations.

Technical Details

Testing Framework: Jest

Implementation: Dynamic Programming algorithm
Test Structure: Single describe block with multiple test cases
Assertion Method: .toEqual() for array comparison
Input Types: Arrays of numbers (integer values)

Best Practices Demonstrated

The test suite exemplifies several testing best practices for algorithm validation.

Comprehensive edge case coverage
Clear test case organization
Consistent assertion patterns
Progressive complexity in test cases
Readable test descriptions

trekhleb/javascript-algorithms

src/algorithms/sets/maximum-subarray/__test__/dpMaximumSubarray.test.js

            
import dpMaximumSubarray from '../dpMaximumSubarray';

describe('dpMaximumSubarray', () => {
  it('should find maximum subarray using the dynamic programming algorithm', () => {
    expect(dpMaximumSubarray([])).toEqual([]);
    expect(dpMaximumSubarray([0, 0])).toEqual([0]);
    expect(dpMaximumSubarray([0, 0, 1])).toEqual([0, 0, 1]);
    expect(dpMaximumSubarray([0, 0, 1, 2])).toEqual([0, 0, 1, 2]);
    expect(dpMaximumSubarray([0, 0, -1, 2])).toEqual([2]);
    expect(dpMaximumSubarray([-1, -2, -3, -4, -5])).toEqual([-1]);
    expect(dpMaximumSubarray([1, 2, 3, 2, 3, 4, 5])).toEqual([1, 2, 3, 2, 3, 4, 5]);
    expect(dpMaximumSubarray([-2, 1, -3, 4, -1, 2, 1, -5, 4])).toEqual([4, -1, 2, 1]);
    expect(dpMaximumSubarray([-2, -3, 4, -1, -2, 1, 5, -3])).toEqual([4, -1, -2, 1, 5]);
    expect(dpMaximumSubarray([1, -3, 2, -5, 7, 6, -1, 4, 11, -23])).toEqual([7, 6, -1, 4, 11]);
  });
});