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1253. Reconstruct a 2-Row Binary Matrix

Given the following details of a matrix with n columns and 2 rows :

  • The matrix is a binary matrix, which means each element in the matrix can be 0 or 1.

  • The sum of elements of the 0-th(upper) row is given as upper.

  • The sum of elements of the 1-st(lower) row is given as lower.

  • The sum of elements in the i-th column(0-indexed) is colsum[i], where colsum is given as an integer array with length n.

Your task is to reconstruct the matrix with upper, lower and colsum.

Return it as a 2-D integer array.

If there are more than one valid solution, any of them will be accepted.

If no valid solution exists, return an empty 2-D array.

Example 1:

Input: upper = 2, lower = 1, colsum = [1,1,1]
Output: [[1,1,0],[0,0,1]]
Explanation: [[1,0,1],[0,1,0]], and [[0,1,1],[1,0,0]] are also correct answers.

Example 2:

Input: upper = 2, lower = 3, colsum = [2,2,1,1]
Output: []

Example 3:

Input: upper = 5, lower = 5, colsum = [2,1,2,0,1,0,1,2,0,1]
Output: [[1,1,1,0,1,0,0,1,0,0],[1,0,1,0,0,0,1,1,0,1]]

Constraints:

  • 1 <= colsum.length <= 10^5

  • 0 <= upper, lower <= colsum.length

  • 0 <= colsum[i] <= 2

思路分析

为什么需要现在 upperlower 中先减去 2 的数量呢?没想明白

  • 一刷

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/**
 * @author D瓜哥 · https://www.diguage.com
 * @since 2024-09-25 21:12:25
 */
public List<List<Integer>> reconstructMatrix(int upper, int lower, int[] colsum) {
  int sum = 0;
  int twos = 0;
  for (int num : colsum) {
    sum += num;
    if (num == 2) {
      twos++;
    }
  }
  if (sum != upper + lower || upper < twos || lower < twos) {
    return Collections.emptyList();
  }
  List<List<Integer>> result = new ArrayList<>(2);
  result.add(new ArrayList<>(colsum.length));
  result.add(new ArrayList<>(colsum.length));
  upper -= twos;
  lower -= twos;
  for (int i = 0; i < colsum.length; i++) {
    int up = 0;
    int low = 0;
    if (colsum[i] == 2) {
      up = 1;
      low = 1;
    } else if (colsum[i] == 1) {
      if (upper > 0) {
        up = 1;
        upper--;
      } else {
        low = 1;
        lower--;
      }
    }
    result.get(0).add(up);
    result.get(1).add(low);
  }
  return result;
}