Hard
You are given a positive integer k
. You are also given:
rowConditions
of size n
where rowConditions[i] = [abovei, belowi]
, andcolConditions
of size m
where colConditions[i] = [lefti, righti]
.The two arrays contain integers from 1
to k
.
You have to build a k x k
matrix that contains each of the numbers from 1
to k
exactly once. The remaining cells should have the value 0
.
The matrix should also satisfy the following conditions:
abovei
should appear in a row that is strictly above the row at which the number belowi
appears for all i
from 0
to n - 1
.lefti
should appear in a column that is strictly left of the column at which the number righti
appears for all i
from 0
to m - 1
.Return any matrix that satisfies the conditions. If no answer exists, return an empty matrix.
Example 1:
Input: k = 3, rowConditions = [[1,2],[3,2]], colConditions = [[2,1],[3,2]]
Output: [[3,0,0],[0,0,1],[0,2,0]]
Explanation: The diagram above shows a valid example of a matrix that satisfies all the conditions.
The row conditions are the following:
Number 1 is in row 1, and number 2 is in row 2, so 1 is above 2 in the matrix.
Number 3 is in row 0, and number 2 is in row 2, so 3 is above 2 in the matrix.
The column conditions are the following:
Number 2 is in column 1, and number 1 is in column 2, so 2 is left of 1 in the matrix.
Number 3 is in column 0, and number 2 is in column 1, so 3 is left of 2 in the matrix.
Note that there may be multiple correct answers.
Example 2:
Input: k = 3, rowConditions = [[1,2],[2,3],[3,1],[2,3]], colConditions = [[2,1]]
Output: []
Explanation: From the first two conditions, 3 has to be below 1 but the third conditions needs 3 to be above 1 to be satisfied.
No matrix can satisfy all the conditions, so we return the empty matrix.
Constraints:
2 <= k <= 400
1 <= rowConditions.length, colConditions.length <= 104
rowConditions[i].length == colConditions[i].length == 2
1 <= abovei, belowi, lefti, righti <= k
abovei != belowi
lefti != righti
import java.util.ArrayList;
import java.util.HashMap;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.Queue;
public class Solution {
// Using topological sort to solve this problem
public int[][] buildMatrix(int k, int[][] rowC, int[][] colC) {
// First, get the topo-sorted of row and col
List<Integer> row = toposort(k, rowC);
List<Integer> col = toposort(k, colC);
// base case: when the length of row or col is less than k, return empty.
// That is: there is a loop in established graph
if (row.size() < k || col.size() < k) {
return new int[0][0];
}
int[][] res = new int[k][k];
Map<Integer, Integer> map = new HashMap<>();
for (int i = 0; i < k; i++) {
// we record the number corresbonding to each column:
// [number, column index]
map.put(col.get(i), i);
}
// col: 3 2 1
// row: 1 3 2
for (int i = 0; i < k; i++) {
// For each row: we have number row.get(i). And we need to know
// which column we need to assign, which is from map.get(row.get(i))
// known by map.get()
res[i][map.get(row.get(i))] = row.get(i);
}
return res;
}
private List<Integer> toposort(int k, int[][] matrix) {
// need a int[] to record the indegree of each number [1, k]
int[] deg = new int[k + 1];
// need a list to record the order of each number, then return this list
List<Integer> res = new ArrayList<>();
// need a 2-D list to be the graph, and fill the graph
List<List<Integer>> graph = new ArrayList<>();
for (int i = 0; i < k; i++) {
graph.add(new ArrayList<>());
}
// need a queue to do the BFS
Queue<Integer> queue = new LinkedList<>();
// First, we need to establish the graph, following the given matrix
for (int[] a : matrix) {
int from = a[0];
int to = a[1];
graph.get(from - 1).add(to);
deg[to]++;
}
// Second, after building a graph, we start the bfs,
// that is, traverse the node with 0 degree
for (int i = 1; i <= k; i++) {
if (deg[i] == 0) {
queue.offer(i);
res.add(i);
}
}
// Third, start the topo sort
while (!queue.isEmpty()) {
int node = queue.poll();
List<Integer> list = graph.get(node - 1);
for (int i : list) {
if (--deg[i] == 0) {
queue.offer(i);
res.add(i);
}
}
}
return res;
}
}