Find the Safest Path in a Grid
Find the Safest Path in a Grid is a Medium Data Structures and Algorithms interview problem you can solve, run and submit on Thita.ai. It belongs to the Graph Traversal Patterns (DFS & BFS) pattern, in the Shortest Path (Dijkstra's Algorithm) subpattern.
Problem statement
You are given a 0-indexed 2D matrix grid of size n x n, where (r, c) represents:
- A cell containing a thief if grid[r][c] = 1
- An empty cell if grid[r][c] = 0
You are initially positioned at cell (0, 0). In one move, you can move to any adjacent cell in the grid, including cells containing thieves.
The safeness factor of a path on the grid is defined as the minimum manhattan distance from any cell in the path to any thief in the grid.
Return the maximum safeness factor of all paths leading to cell (n - 1, n - 1).
An adjacent cell of cell (r, c), is one of the cells (r, c + 1), (r, c - 1), (r + 1, c) and (r - 1, c) if it exists.
The Manhattan distance between two cells (a, b) and (x, y) is equal to |a - x| + |b - y|, where |val| denotes the absolute value of val.
Example 1:
Input: grid = [[1,0,0],[0,0,0],[0,0,1]] Output: 0 Explanation: All paths from (0, 0) to (n - 1, n - 1) go through the thieves in cells (0, 0) and (n - 1, n - 1).
Example 2:
Input: grid = [[0,0,1],[0,0,0],[0,0,0]] Output: 2 Explanation: The path depicted in the picture above has a safeness factor of 2 since: - The closest cell of the path to the thief at cell (0, 2) is cell (0, 0). The distance between them is | 0 - 0 | + | 0 - 2 | = 2. It can be shown that there are no other paths with a higher safeness factor.
Example 3:
Input: grid = [[0,0,0,1],[0,0,0,0],[0,0,0,0],[1,0,0,0]] Output: 2 Explanation: The path depicted in the picture above has a safeness factor of 2 since: - The closest cell of the path to the thief at cell (0, 3) is cell (1, 2). The distance between them is | 0 - 1 | + | 3 - 2 | = 2. - The closest cell of the path to the thief at cell (3, 0) is cell (3, 2). The distance between them is | 3 - 3 | + | 0 - 2 | = 2. It can be shown that there are no other paths with a higher safeness factor.
Constraints:
- 1 <= grid.length == n <= 400
- grid[i].length == n
- grid[i][j] is either 0 or 1.
- There is at least one thief in the grid.
Topics and companies
Topics: Array, Binary Search, Breadth-First Search, Union Find, Heap (Priority Queue), Matrix.
How to practise Find the Safest Path in a Grid on Thita.ai
Starter code is provided in C, C#, C++, Go, Java, JavaScript and Python. Your solution runs against 5 test cases for this problem, with the AI coach available for a hint when you are stuck rather than a finished answer. The reference solution runs in O(n^2) time and O(n^2) space.
Open Find the Safest Path in a Grid in the code editor, or read the Find the Safest Path in a Grid editorial for a worked solution with its approach and complexity analysis.
Where Find the Safest Path in a Grid sits in the DSA pattern sheet
- Graph Traversal Patterns (DFS & BFS) pattern guide
- Shortest Path (Dijkstra's Algorithm) subpattern
- The full DSA patterns sheet
- All coding practice problems
Problems related to Find the Safest Path in a Grid
Other problems that use the same Shortest Path (Dijkstra's Algorithm) and Graph Traversal Patterns (DFS & BFS) techniques:
- Minimum Obstacle Removal to Reach Corner — Hard, same subpattern
- Minimum Time to Visit a Cell In a Grid — Hard, same subpattern
- Minimum Weighted Subgraph With the Required Paths — Hard, same subpattern
- Network Delay Time — Medium, same subpattern
- Number of Ways to Arrive at Destination — Medium, same subpattern
- Path with Maximum Probability — Medium, same subpattern