There are n people in a social group labeled from 0
to n - 1
. You are given an array logs
where logs[i] = [timestampi, xi, yi]
indicates that xi
and yi
will be friends at the time timestampi
.
Friendship is symmetric. That means if a
is friends with b
, then b
is friends with a
. Also, person a
is acquainted with a person b
if a
is friends with b
, or a
is a friend of someone acquainted with b
.
Return the earliest time for which every person became acquainted with every other person. If there is no such earliest time, return -1
.
Example 1:
Input: logs = [
[20190101,0,1],
[20190104,3,4],
[20190107,2,3],
[20190211,1,5],
[20190224,2,4],
[20190301,0,3],
[20190312,1,2],
[20190322,4,5]
], n = 6
Output: 20190301
Explanation:
The first event occurs at timestamp = 20190101, and after 0 and 1 become friends,
we have the following friendship groups [0,1], [2], [3], [4], [5].
The second event occurs at timestamp = 20190104, and after 3 and 4 become friends,
we have the following friendship groups [0,1], [2], [3,4], [5].
The third event occurs at timestamp = 20190107, and after 2 and 3 become friends,
we have the following friendship groups [0,1], [2,3,4], [5].
The fourth event occurs at timestamp = 20190211, and after 1 and 5 become friends,
we have the following friendship groups [0,1,5], [2,3,4].
The fifth event occurs at timestamp = 20190224, and as 2 and 4 are already friends,
nothing happens.
The sixth event occurs at timestamp = 20190301, and after 0 and 3 become friends,
we all become friends.
Example 2:
Input: logs = [[0,2,0],[1,0,1],[3,0,3],[4,1,2],[7,3,1]], n = 4
Output: 3
Explanation: At timestamp = 3, all the persons (i.e., 0, 1, 2, and 3) become friends.
Constraints:
2 <= n <= 100
1 <= logs.length <= 104
logs[i].length == 3
0 <= timestampi <= 109
0 <= xi, yi <= n - 1
xi != yi
- All the values
timestampi
are unique. - All the pairs
(xi, yi)
occur at most one time in the input.
For each
(tx, x, y)
in logs, assumingx < y
, merge persons iny
's group tox
's group, and removey
's original group.
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