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Testing Rain Terraces Algorithm Implementation in javascript-algorithms

This test suite validates the dpRainTerraces algorithm implementation for calculating water collection in terrain depressions. It comprehensively tests various terrain configurations to ensure accurate water volume calculations after rainfall simulation.

Test Coverage Overview

The test suite provides extensive coverage of the dpRainTerraces function, examining various terrain configurations and edge cases.

Basic cases with single elements and flat terrains
Simple valley configurations (2-3 elements)
Complex terrain patterns with multiple peaks and valleys
Edge cases including ascending/descending sequences

Implementation Analysis

The testing approach utilizes Jest’s describe/it pattern for structured test organization. Multiple test cases are implemented using expect().toBe() assertions to verify precise numerical outputs. The implementation follows a data-driven testing pattern with various input arrays representing different terrain configurations.

Technical Details

Testing Framework: Jest
Test Type: Unit Test

Uses Jest’s describe block for test suite organization
Implements expect().toBe() for exact equality assertions
Utilizes array inputs for terrain representation
Focuses on numerical output validation

Best Practices Demonstrated

The test suite demonstrates excellent testing practices through comprehensive case coverage and clear organization. Each test case is purposefully designed to validate specific scenarios, from simple to complex terrain configurations. The consistent structure and thorough edge case coverage ensure robust algorithm validation.

trekhleb/javascript-algorithms

src/algorithms/uncategorized/rain-terraces/__test__/dpRainTerraces.test.js

            
import dpRainTerraces from '../dpRainTerraces';

describe('dpRainTerraces', () => {
  it('should find the amount of water collected after raining', () => {
    expect(dpRainTerraces([1])).toBe(0);
    expect(dpRainTerraces([1, 0])).toBe(0);
    expect(dpRainTerraces([0, 1])).toBe(0);
    expect(dpRainTerraces([0, 1, 0])).toBe(0);
    expect(dpRainTerraces([0, 1, 0, 0])).toBe(0);
    expect(dpRainTerraces([0, 1, 0, 0, 1, 0])).toBe(2);
    expect(dpRainTerraces([0, 2, 0, 0, 1, 0])).toBe(2);
    expect(dpRainTerraces([2, 0, 2])).toBe(2);
    expect(dpRainTerraces([2, 0, 5])).toBe(2);
    expect(dpRainTerraces([3, 0, 0, 2, 0, 4])).toBe(10);
    expect(dpRainTerraces([0, 1, 0, 2, 1, 0, 1, 3, 2, 1, 2, 1])).toBe(6);
    expect(dpRainTerraces([1, 1, 1, 1, 1])).toBe(0);
    expect(dpRainTerraces([1, 2, 3, 4, 5])).toBe(0);
    expect(dpRainTerraces([4, 1, 3, 1, 2, 1, 2, 1])).toBe(4);
    expect(dpRainTerraces([0, 2, 4, 3, 4, 2, 4, 0, 8, 7, 0])).toBe(7);
  });
});