1368. Minimum Cost to Make at Least One Valid Path in a Grid

https://leetcode.com/problems/minimum-cost-to-make-at-least-one-valid-path-in-a-grid

Description

Given a m x n grid. Each cell of the grid has a sign pointing to the next cell you should visit if you are currently in this cell. The sign of grid[i][j] can be:

  • 1 which means go to the cell to the right. (i.e go from grid[i][j] to grid[i][j + 1])

  • 2 which means go to the cell to the left. (i.e go from grid[i][j] to grid[i][j - 1])

  • 3 which means go to the lower cell. (i.e go from grid[i][j] to grid[i + 1][j])

  • 4 which means go to the upper cell. (i.e go from grid[i][j] to grid[i - 1][j])

Notice that there could be some invalid signs on the cells of the grid which points outside the grid.

You will initially start at the upper left cell (0,0). A valid path in the grid is a path which starts from the upper left cell (0,0) and ends at the bottom-right cell (m - 1, n - 1) following the signs on the grid. The valid path doesn't have to be the shortest.

You can modify the sign on a cell with cost = 1. You can modify the sign on a cell one time only.

Return the minimum cost to make the grid have at least one valid path.

Example 1:

**Input:** grid = [[1,1,1,1],[2,2,2,2],[1,1,1,1],[2,2,2,2]]
**Output:** 3
**Explanation:** You will start at point (0, 0).
The path to (3, 3) is as follows. (0, 0) --> (0, 1) --> (0, 2) --> (0, 3) change the arrow to down with cost = 1 --> (1, 3) --> (1, 2) --> (1, 1) --> (1, 0) change the arrow to down with cost = 1 --> (2, 0) --> (2, 1) --> (2, 2) --> (2, 3) change the arrow to down with cost = 1 --> (3, 3)
The total cost = 3.

Example 2:

**Input:** grid = [[1,1,3],[3,2,2],[1,1,4]]
**Output:** 0
**Explanation:** You can follow the path from (0, 0) to (2, 2).

Example 3:

**Input:** grid = [[1,2],[4,3]]
**Output:** 1

Example 4:

**Input:** grid = [[2,2,2],[2,2,2]]
**Output:** 3

Example 5:

**Input:** grid = [[4]]
**Output:** 0

Constraints:

  • m == grid.length

  • n == grid[i].length

  • 1 <= m, n <= 100

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