There are n
cities. Some of them are connected, while some are not. If city a
is connected directly with city b
, and city b
is connected directly with city c
, then city a
is connected indirectly with city c
.
A province is a group of directly or indirectly connected cities and no other cities outside of the group.
You are given an n x n
matrix isConnected
where isConnected[i][j] = 1
if the ith
city and the jth
city are directly connected, and isConnected[i][j] = 0
otherwise.
Return the total number of provinces.
Example 1:
Input: isConnected = [[1,1,0],[1,1,0],[0,0,1]] Output: 2
Example 2:
Input: isConnected = [[1,0,0],[0,1,0],[0,0,1]] Output: 3
Constraints:
1 <= n <= 200
n == isConnected.length
n == isConnected[i].length
isConnected[i][j]
is1
or0
.isConnected[i][i] == 1
isConnected[i][j] == isConnected[j][i]
class Solution:
def findCircleNum(self, isConnected: List[List[int]]) -> int:
def dfs(i):
for j in range(n):
if not visited[j] and isConnected[i][j] == 1:
visited[j] = True
dfs(j)
n = len(isConnected)
visited = [False] * n
num = 0
for i in range(n):
if not visited[i]:
dfs(i)
num += 1
return num
class Solution {
public int findCircleNum(int[][] isConnected) {
int n = isConnected.length;
boolean[] visited = new boolean[n];
int num = 0;
for (int i = 0; i < n; ++i) {
if (!visited[i]) {
dfs(isConnected, visited, i, n);
++num;
}
}
return num;
}
private void dfs(int[][] isConnected, boolean[] visited, int i, int n) {
for (int j = 0; j < n; ++j) {
if (!visited[j] && isConnected[i][j] == 1) {
visited[j] = true;
dfs(isConnected, visited, j, n);
}
}
}
}