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542 01 Matrix

542 01 Matrix

01 Matrix image

Given an m x n binary matrix mat, return the distance of the nearest *0 for each cell*.

The distance between two cells sharing a common edge is 1.

 

Example 1:

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**Input:** mat = [[0,0,0],[0,1,0],[0,0,0]]
**Output:** [[0,0,0],[0,1,0],[0,0,0]]

Example 2:

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**Input:** mat = [[0,0,0],[0,1,0],[1,1,1]]
**Output:** [[0,0,0],[0,1,0],[1,2,1]]

 

Constraints:

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m == mat.length
n == mat[i].length
1 <= m, n <= 104
1 <= m * n <= 104
mat[i][j] is either 0 or 1.
There is at least one 0 in mat.

 

Note: This question is the same as 1765: https://leetcode.com/problems/map-of-highest-peak/

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func updateMatrix(isWater [][]int) [][]int {
    m, n := len(isWater), len(isWater[0])
    res := make([][]int, m)
    queue := [][]int{}

    for i := 0; i < m; i++ {
        res[i] = make([]int, n)
        for j := 0; j < n; j++ {
            if isWater[i][j] == 0 {
                res[i][j] = 0
                queue = append(queue, []int{i, j})
            } else {
                res[i][j] = -1
            }
        }
    }

    dirs := [][]int{{-1, 0}, {1, 0}, {0, -1}, {0, 1}}

    for len(queue) > 0 {
        cell := queue[0]
        queue = queue[1:]
        i, j := cell[0], cell[1]

        for _, d := range dirs {
            ni, nj := i + d[0], j + d[1]
            if ni >= 0 && ni < m && nj >= 0 && nj < n && res[ni][nj] == -1 {
                res[ni][nj] = res[i][j] + 1
                queue = append(queue, []int{ni, nj})
            }
        }
    }

    return res
}



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