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1337. The K Weakest Rows in a Matrix

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Description

You are given an m x n binary matrix mat of 1's (representing soldiers) and 0's (representing civilians). The soldiers are positioned in front of the civilians. That is, all the 1's will appear to the left of all the 0's in each row.

A row i is weaker than a row j if one of the following is true:

• The number of soldiers in row i is less than the number of soldiers in row j.
• Both rows have the same number of soldiers and i < j.

Return the indices of the k weakest rows in the matrix ordered from weakest to strongest.

 

Example 1:

Input: mat = 
[[1,1,0,0,0],
 [1,1,1,1,0],
 [1,0,0,0,0],
 [1,1,0,0,0],
 [1,1,1,1,1]], 
k = 3
Output: [2,0,3]
Explanation: 
The number of soldiers in each row is: 
- Row 0: 2 
- Row 1: 4 
- Row 2: 1 
- Row 3: 2 
- Row 4: 5 
The rows ordered from weakest to strongest are [2,0,3,1,4].

Example 2:

Input: mat = 
[[1,0,0,0],
 [1,1,1,1],
 [1,0,0,0],
 [1,0,0,0]], 
k = 2
Output: [0,2]
Explanation: 
The number of soldiers in each row is: 
- Row 0: 1 
- Row 1: 4 
- Row 2: 1 
- Row 3: 1 
The rows ordered from weakest to strongest are [0,2,3,1].

 

Constraints:

• m == mat.length
• n == mat[i].length
• 2 <= n, m <= 100
• 1 <= k <= m
• matrix[i][j] is either 0 or 1.

Solutions

Binary search & sort.

Python3

class Solution:
    def kWeakestRows(self, mat: List[List[int]], k: int) -> List[int]:
        m, n = len(mat), len(mat[0])
        ans = [n - bisect_right(row[::-1], 0) for row in mat]
        idx = list(range(m))
        idx.sort(key=lambda i: ans[i])
        return idx[:k]

Java

class Solution {
    public int[] kWeakestRows(int[][] mat, int k) {
        int m = mat.length, n = mat[0].length;
        int[] res = new int[m];
        List<Integer> idx = new ArrayList<>();
        for (int i = 0; i < m; ++i) {
            idx.add(i);
            int[] row = mat[i];
            int left = 0, right = n;
            while (left < right) {
                int mid = (left + right) >> 1;
                if (row[mid] == 0) {
                    right = mid;
                } else {
                    left = mid + 1;
                }
            }
            res[i] = left;
        }
        idx.sort(Comparator.comparingInt(a -> res[a]));
        int[] ans = new int[k];
        for (int i = 0; i < k; ++i) {
            ans[i] = idx.get(i);
        }
        return ans;
    }
}

TypeScript

function kWeakestRows(mat: number[][], k: number): number[] {
    let n = mat.length;
    let sumMap = mat.map((d, i) => [d.reduce((a, c) => a + c, 0), i]);
    let ans = [];
    // 冒泡排序
    for (let i = 0; i < k; i++) {
        for (let j = i; j < n; j++) {
            if (
                sumMap[j][0] < sumMap[i][0] ||
                (sumMap[j][0] == sumMap[i][0] && sumMap[i][1] > sumMap[j][1])
            ) {
                [sumMap[i], sumMap[j]] = [sumMap[j], sumMap[i]];
            }
        }
        ans.push(sumMap[i][1]);
    }
    return ans;
}

C++

class Solution {
public:
    int search(vector<int>& m) {
        int l = 0;
        int h = m.size() - 1;
        while (l <= h) {
            int mid = l + (h - l) / 2;
            if (m[mid] == 0)
                h = mid - 1;
            else
                l = mid + 1;
        }
        return l;
    }

    vector<int> kWeakestRows(vector<vector<int>>& mat, int k) {
        vector<pair<int, int>> p;
        vector<int> res;
        for (int i = 0; i < mat.size(); i++) {
            int count = search(mat[i]);
            p.push_back({count, i});
        }
        sort(p.begin(), p.end());
        for (int i = 0; i < k; i++) {
            res.push_back(p[i].second);
        }
        return res;
    }
};

Go

func kWeakestRows(mat [][]int, k int) []int {
	m, n := len(mat), len(mat[0])
	res := make([]int, m)
	var idx []int
	for i, row := range mat {
		idx = append(idx, i)
		left, right := 0, n
		for left < right {
			mid := (left + right) >> 1
			if row[mid] == 0 {
				right = mid
			} else {
				left = mid + 1
			}
		}
		res[i] = left
	}
	sort.Slice(idx, func(i, j int) bool {
		return res[idx[i]] < res[idx[j]] || (res[idx[i]] == res[idx[j]] && idx[i] < idx[j])
	})
	return idx[:k]
}

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