Rat in a Maze Problem in DSA Javascript - Build from Scratch

Rat in a Maze Problem

📖 Scenario: Imagine a rat trapped in a maze represented by a grid. The rat wants to find a path from the top-left corner to the bottom-right corner by moving only through open cells.

🎯 Goal: Build a program that finds one possible path for the rat to reach the destination in the maze using backtracking.

📋 What You'll Learn

Create a 4x4 maze grid with 1s as open paths and 0s as blocked cells

Create a solution grid to mark the path taken by the rat

Write a function to check if a move is safe (inside grid and open path)

Write a recursive function to find the path using backtracking

Print the solution grid showing the path from start to finish

💡 Why This Matters

🌍 Real World

Maze solving algorithms are used in robotics for navigation and path planning in unknown environments.

💼 Career

Understanding backtracking and pathfinding is important for software roles involving algorithms, game development, and AI.

1

Create the maze grid

Create a 4x4 array called maze with these exact rows: [1, 0, 0, 0], [1, 1, 0, 1], [0, 1, 0, 0], [1, 1, 1, 1]

DSA Javascript

# Create the maze array with the given rows
// Your code here

Hint

Use const maze = [ [1, 0, 0, 0], [1, 1, 0, 1], [0, 1, 0, 0], [1, 1, 1, 1] ];

2

Create the solution grid

Create a 4x4 array called solution initialized with all zeros to mark the path

DSA Javascript

const maze = [
  [1, 0, 0, 0],
  [1, 1, 0, 1],
  [0, 1, 0, 0],
  [1, 1, 1, 1]
];

// Create the solution array with zeros
// Your code here

Hint

Use const solution = [ [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0] ];

3

Write the backtracking function

Write a function called solveMaze that takes maze, solution, x, and y as parameters. Use recursion and backtracking to find a path from (0, 0) to (3, 3). Mark the path in solution with 1s. Use a helper function isSafe to check if a move is valid.

DSA Javascript

const maze = [
  [1, 0, 0, 0],
  [1, 1, 0, 1],
  [0, 1, 0, 0],
  [1, 1, 1, 1]
];

const solution = [
  [0, 0, 0, 0],
  [0, 0, 0, 0],
  [0, 0, 0, 0],
  [0, 0, 0, 0]
];

// Write isSafe and solveMaze functions
// Your code here

Hint

Use recursion to try moving right and down. Mark path in solution. Backtrack if stuck.

4

Print the solution path

Call solveMaze(maze, solution, 0, 0) and then print the solution array to show the path found by the rat.

DSA Javascript

const maze = [
  [1, 0, 0, 0],
  [1, 1, 0, 1],
  [0, 1, 0, 0],
  [1, 1, 1, 1]
];

const solution = [
  [0, 0, 0, 0],
  [0, 0, 0, 0],
  [0, 0, 0, 0],
  [0, 0, 0, 0]
];

function isSafe(maze, x, y) {
  return x >= 0 && x = 0 && y < 4 && maze[x][y] === 1;
}

function solveMaze(maze, solution, x, y) {
  if (x === 3 && y === 3 && maze[x][y] === 1) {
    solution[x][y] = 1;
    return true;
  }

  if (isSafe(maze, x, y)) {
    if (solution[x][y] === 1) {
      return false;
    }

    solution[x][y] = 1;

    if (solveMaze(maze, solution, x + 1, y)) {
      return true;
    }

    if (solveMaze(maze, solution, x, y + 1)) {
      return true;
    }

    solution[x][y] = 0;
    return false;
  }

  return false;
}

// Call solveMaze and print solution
// Your code here

Hint

Call solveMaze(maze, solution, 0, 0) and print each row of solution with spaces.

Practice

1. What is the main goal of the Rat in a Maze problem in algorithms?

easy

A. Calculate the shortest distance between two points in a graph

B. Count the number of walls in the maze

C. Find a path from the start to the destination in a maze

D. Sort the maze cells in ascending order

Solution

1. Step 1: Understand the problem objective

   The Rat in a Maze problem requires finding a path from the start cell to the destination cell in a maze grid.

2. Step 2: Identify the correct goal

   The goal is not counting walls, sorting cells, or shortest distance in a graph, but specifically finding a valid path through the maze.

3. Final Answer:

   Find a path from the start to the destination in a maze -> Option C

4. Quick Check:

   Goal = Find path [OK]

Hint: Focus on pathfinding from start to end in the maze [OK]

Common Mistakes:

• Confusing pathfinding with counting or sorting
• Thinking it's about shortest path always
• Assuming maze cells need sorting

2. Which of the following is the correct way to check if a cell (x, y) is safe to move in a maze represented by a 2D array maze in JavaScript?

easy

A. if (x >= 0 && y >= 0 && x <= maze.length && y <= maze[0].length && maze[x][y] === 0)

B. if (x >= 0 && y >= 0 && x < maze.length && y < maze[0].length && maze[x][y] === 1)

C. if (x > 0 && y > 0 && x <= maze.length && y <= maze[0].length && maze[x][y] === 1)

D. if (x > 0 && y > 0 && x < maze.length && y < maze[0].length && maze[x][y] === 0)

Solution

1. Step 1: Check boundary conditions correctly

   Valid indices in JavaScript arrays start at 0 and go up to length - 1, so conditions must use >= 0 and < length.

2. Step 2: Check cell value for path

   In the Rat in a Maze problem, 1 usually means path is open, so maze[x][y] === 1 is correct.

3. Final Answer:

   if (x >= 0 && y >= 0 && x < maze.length && y < maze[0].length && maze[x][y] === 1) -> Option B

4. Quick Check:

   Boundary + path check = if (x >= 0 && y >= 0 && x < maze.length && y < maze[0].length && maze[x][y] === 1) [OK]

Hint: Use >= 0 and < length for array bounds, check for 1 as path [OK]

Common Mistakes:

• Using > 0 excludes index 0
• Using <= length causes out-of-bound errors
• Checking for 0 instead of 1 as path

3. What will be the output of the following JavaScript code snippet for the Rat in a Maze problem?

const maze = [
  [1, 0, 0, 0],
  [1, 1, 0, 1],
  [0, 1, 0, 0],
  [1, 1, 1, 1]
];

function solveMaze(x, y, maze, path) {
  if (x === maze.length - 1 && y === maze[0].length - 1) {
    path.push([x, y]);
    return true;
  }
  if (x >= 0 && y >= 0 && x < maze.length && y < maze[0].length && maze[x][y] === 1) {
    path.push([x, y]);
    maze[x][y] = 0;
    if (solveMaze(x + 1, y, maze, path)) return true;
    if (solveMaze(x, y + 1, maze, path)) return true;
    path.pop();
    return false;
  }
  return false;
}

const path = [];
solveMaze(0, 0, maze, path);
console.log(path);

medium

A. [[0,0],[0,1],[1,1],[2,1],[3,1],[3,2],[3,3]]

B. []

C. [[0,0],[1,0],[1,1],[1,2],[2,2],[3,2],[3,3]]

D. [[0,0],[1,0],[1,1],[2,1],[3,1],[3,2],[3,3]]

Solution

1. Step 1: Trace the recursive path from (0,0)

   Starting at (0,0), the function tries moving down (x+1,y) first, then right (x,y+1). It marks visited cells as 0 to avoid revisiting.

2. Step 2: Follow the path found

   The path found is (0,0) -> (1,0) -> (1,1) -> (2,1) -> (3,1) -> (3,2) -> (3,3), which is a valid path to the destination.

3. Final Answer:

   [[0,0],[1,0],[1,1],[2,1],[3,1],[3,2],[3,3]] -> Option D

4. Quick Check:

   Path traced matches [[0,0],[1,0],[1,1],[2,1],[3,1],[3,2],[3,3]] [OK]

Hint: Follow down moves first, then right moves recursively [OK]

Common Mistakes:

• Assuming right moves tried before down
• Not marking visited cells causing infinite loops
• Misreading maze cell values

4. Identify the bug in the following JavaScript code snippet for the Rat in a Maze problem and select the fix.

function solveMaze(x, y, maze, path) {
  if (x === maze.length - 1 && y === maze[0].length - 1) {
    path.push([x, y]);
    return true;
  }
  if (x >= 0 && y >= 0 && x < maze.length && y < maze[0].length && maze[x][y] === 1) {
    path.push([x, y]);
    if (solveMaze(x + 1, y, maze, path)) return true;
    if (solveMaze(x, y + 1, maze, path)) return true;
    path.pop();
    return false;
  }
  return false;
}

medium

A. Mark visited cells as 0 after pushing to path to avoid revisiting

B. Remove path.pop() to keep all visited cells in path

C. Change base case to check if x > maze.length and y > maze[0].length

D. Add a check to move diagonally (x+1, y+1) in recursion

Solution

1. Step 1: Identify missing visited marking

   The code does not mark visited cells as 0, so it may revisit the same cell causing infinite recursion.

2. Step 2: Fix by marking visited cells

   After pushing a cell to path, mark maze[x][y] = 0 to avoid revisiting and infinite loops.

3. Final Answer:

   Mark visited cells as 0 after pushing to path to avoid revisiting -> Option A

4. Quick Check:

   Visited marking fixes infinite recursion [OK]

Hint: Mark visited cells to prevent infinite loops [OK]

Common Mistakes:

• Forgetting to mark visited cells
• Removing path.pop() causing wrong paths
• Changing base case incorrectly

5. Given a maze represented by a 2D array where 1 means open path and 0 means blocked, how would you modify the Rat in a Maze algorithm to find all possible paths from start (0,0) to destination (n-1,n-1)?

hard

A. Use backtracking to explore all directions and store each complete path in a list

B. Stop recursion after finding the first path and return it immediately

C. Use a queue to perform breadth-first search and return the shortest path only

D. Mark all visited cells permanently to avoid revisiting any cell

Solution

1. Step 1: Understand the requirement to find all paths

   Finding all paths means exploring every possible route from start to destination without stopping at the first success.

2. Step 2: Use backtracking to explore all paths

   Backtracking allows exploring all directions, storing each valid path, and backtracking to try other routes.

3. Final Answer:

   Use backtracking to explore all directions and store each complete path in a list -> Option A

4. Quick Check:

   All paths require full backtracking exploration [OK]

Hint: Backtrack fully and save each path to find all solutions [OK]

Common Mistakes:

• Stopping after first path found
• Using BFS only for shortest path
• Marking visited cells permanently blocking other paths