Shortest Path to Get Food

Problem

You are starving and you want to eat food as quickly as possible. You want to find the shortest path to arrive at any food cell.

You are given an m x n character matrix, grid, of these different types of cells:

  • '' is your location. There is exactly one '' cell.
  • ’#’ is a food cell. There may be multiple food cells.
  • ‘O’ is free space, and you can travel through these cells.
  • ‘X’ is an obstacle, and you cannot travel through these cells.

You can travel to any adjacent cell north, east, south, or west of your current location if there is not an obstacle.

Return the length of the shortest path for you to reach any food cell. If there is no path for you to reach food, return -1.

Example 1:

Input: grid = [["X","X","X","X","X","X"],["X","*","O","O","O","X"],["X","O","O","#","O","X"],["X","X","X","X","X","X"]]
Output: 3
Explanation: It takes 3 steps to reach the food.

Example 2:

Input: grid = [["X","X","X","X","X"],["X","*","X","O","X"],["X","O","X","#","X"],["X","X","X","X","X"]]
Output: -1
Explanation: It is not possible to reach the food.

Example 3:

Input: grid = [["X","X","X","X","X","X","X","X"],["X","*","O","X","O","#","O","X"],["X","O","O","X","O","O","X","X"],["X","O","O","O","O","#","O","X"],["X","X","X","X","X","X","X","X"]]
Output: 6
Explanation: There can be multiple food cells. It only takes 6 steps to reach the bottom food.

Constraints:

  • m == grid.length
  • n == grid[i].length
  • 1 <= m, n <= 200
  • grid[row][col] is ’*’, ‘X’, ‘O’, or ’#’.
  • The grid contains exactly one ’*’.

Solution

class Solution {
    record Coord(int row, int col) {}

    public int getFood(char[][] grid) {
        var q = new LinkedList<Coord>();
        var visited = new boolean[grid.length][grid[0].length];

        // scan through the grid and find the starting pos
        for (var row = 0; row < grid.length; row++) {
            for (var col = 0; col < grid[0].length; col++) {
                if (grid[row][col] == '*') {
                    visited[row][col] = true;
                    q.add(new Coord(row, col));
                    break;
                }
            }
        }

        var distance = 0;

        while (!q.isEmpty()) {
            var size = q.size();
            for (int i = 0; i < size; i++) {
                var curr = q.poll();
                if (grid[curr.row][curr.col] == '#') {
                    return distance;
                }
                // add moves to queue
                var up = new Coord(curr.row + 1, curr.col);
                var down = new Coord(curr.row - 1, curr.col);
                var left = new Coord(curr.row, curr.col - 1);
                var right = new Coord(curr.row, curr.col + 1);

                List.of(up, down, left, right).stream().filter(c -> {
                    return c.row >= 0 && c.row < grid.length && c.col >= 0 && c.col < grid[0].length &&
                      grid[c.row][c.col] != 'X' && visited[c.row][c.col] == false;
                }).forEach(c -> {
                    visited[c.row][c.col] = true;
                    q.add(c);
                });
            }
            distance += 1;
        }

        return -1;
    }
}

Recent posts from blogs that I like

Paintings of the Franco-Prussian War: 2 The Siege of Paris

As winter grew colder, Parisians started to starve. A city known for its food and restaurants had to scavenge meals based on horse, dog, cat and even rat.

via The Eclectic Light Company

Impromptu disaster recovery

via fasterthanlime

Notes on implementing Attention

Some notes on implementing attention blocks in pure Python + Numpy. The focus here is on the exact implementation in code, explaining all the shapes throughout the process. The motivation for why attention works is not covered here - there are plenty of excellent online resources explaining it. Seve...

via Eli Bendersky