1337. The K Weakest Rows in a Matrix

The K Weakest Rows in a Matrix - LeetCode

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.


  • code #treeMap
class Solution {
    public int[] kWeakestRows(int[][] mat, int k) {
        // key, how many 1s, value list, index
        Map<Integer, List<Integer>> m = new TreeMap<>();
        for (int i = 0; i < mat.length; i++){
            int count = binarySearch(mat[i]);
            List<Integer> clist = m.getOrDefault(count, new ArrayList<Integer>());
            clist.add(i);
            m.put(count, clist);
        }
        // List<Integer> res = new ArrayList<>();
        int[] res = new int[k];
        int res_i = 0;
        for (List<Integer> clist: m.values()){
            for (int index: clist){
                // res.add(index);
                res[res_i++] = index;
                if (res_i == k) break;
            }
            if (res_i == k) break;
        }
        // return res.stream().mapToInt(i -> i).toArray();
        return res;
    }
    
    public int binarySearch(int[] row){
        int start = 0, end = row.length;
        while (start < end){
            int mid = start + (end - start) / 2;
            if (row[mid] == 1) start = mid + 1;
            else if (row[mid] == 0) end = mid;
        }
        return start; // or end
    }
}
  • code
class Solution:
    def kWeakestRows(self, mat: List[List[int]], k: int) -> List[int]:
        count = {}
        for i, row in enumerate(mat):
            count[i] = sum(row)
        sorted_count = dict(sorted(count.items(), key = lambda x: x[1]))
        return list(sorted_count.keys())[:k]