Description
You are given an integer n and a 2D integer array queries.
There are n cities numbered from 0 to n - 1. Initially, there is a unidirectional road from city i to city i + 1 for all 0 <= i < n - 1.
queries[i] = [ui, vi] represents the addition of a new unidirectional road from city ui to city vi. After each query, you need to find the length of the shortest path from city 0 to city n - 1.
There are no two queries such that queries[i][0] < queries[j][0] < queries[i][1] < queries[j][1].
Return an array answer where for each i in the range [0, queries.length - 1], answer[i] is the length of the shortest path from city 0 to city n - 1 after processing the first i + 1 queries.
Β
Example 1:
Input: n = 5, queries = [[2,4],[0,2],[0,4]]
Output: [3,2,1]
Explanation:

After the addition of the road from 2 to 4, the length of the shortest path from 0 to 4 is 3.

After the addition of the road from 0 to 2, the length of the shortest path from 0 to 4 is 2.

After the addition of the road from 0 to 4, the length of the shortest path from 0 to 4 is 1.
Example 2:
Input: n = 4, queries = [[0,3],[0,2]]
Output: [1,1]
Explanation:

After the addition of the road from 0 to 3, the length of the shortest path from 0 to 3 is 1.

After the addition of the road from 0 to 2, the length of the shortest path remains 1.
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Constraints:
3 <= n <= 1051 <= queries.length <= 105queries[i].length == 20 <= queries[i][0] < queries[i][1] < n1 < queries[i][1] - queries[i][0]- There are no repeated roads among the queries.
- There are no two queries such that
i != jandqueries[i][0] < queries[j][0] < queries[i][1] < queries[j][1].
Solution
C++
class Solution {
public:
vector<int> shortestDistanceAfterQueries(int n, vector<vector<int>>& queries) {
set<int> s;
vector<int> res;
for (int x = 0; x < n; x++) s.insert(x);
for (auto& query: queries) {
int u = query[0], v = query[1];
auto it = s.upper_bound(u);
auto it2 = s.lower_bound(v);
s.erase(it, it2);
res.push_back(s.size() - 1);
}
return res;
}
};Python3
class Solution:
def shortestDistanceAfterQueries(self, n: int, queries: List[List[int]]) -> List[int]:
d = {i: i + 1 for i in range(n - 1)}
res = []
for i, j in queries:
if i in d and d[i] < j:
v = i
while v < j:
v = d.pop(v)
d[i] = j
res.append(len(d))
return res