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leetcode 1627. Graph Connectivity With Threshold (python)

2022-02-01 13:26:58 Wang Daya

「 This is my participation 11 The fourth of the yuegengwen challenge 28 God , Check out the activity details :2021 One last more challenge


We have n cities labeled from 1 to n. Two different cities with labels x and y are directly connected by a bidirectional road if and only if x and y share a common divisor strictly greater than some threshold. More formally, cities with labels x and y have a road between them if there exists an integer z such that all of the following are true:

  • x % z == 0,
  • y % z == 0, and
  • z > threshold.

Given the two integers, n and threshold, and an array of queries, you must determine for each queries[i] = [ai, bi] if cities ai and bi are connected directly or indirectly. (i.e. there is some path between them).

Return an array answer, where answer.length == queries.length and answer[i] is true if for the ith query, there is a path between ai and bi, or answer[i] is false if there is no path.

Example 1:

Input: n = 6, threshold = 2, queries = [[1,4],[2,5],[3,6]]
Output: [false,false,true]
Explanation: The divisors for each number:
1:   1
2:   1, 2
3:   1, 3
4:   1, 2, 4
5:   1, 5
6:   1, 2, 3, 6
Using the underlined divisors above the threshold, only cities 3 and 6 share a common divisor, so they are the
only ones directly connected. The result of each query:
[1,4]   1 is not connected to 4
[2,5]   2 is not connected to 5
[3,6]   3 is connected to 6 through path 3--6
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Example 2:

Input: n = 6, threshold = 0, queries = [[4,5],[3,4],[3,2],[2,6],[1,3]]
Output: [true,true,true,true,true]
Explanation: The divisors for each number are the same as the previous example. However, since the threshold is 0,
all divisors can be used. Since all numbers share 1 as a divisor, all cities are connected.
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Example 3:

Input: n = 5, threshold = 1, queries = [[4,5],[4,5],[3,2],[2,3],[3,4]]
Output: [false,false,false,false,false]
Explanation: Only cities 2 and 4 share a common divisor 2 which is strictly greater than the threshold 1, so they are the only ones directly connected.
Please notice that there can be multiple queries for the same pair of nodes [x, y], and that the query [x, y] is equivalent to the query [y, x].
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  • 2 <= n <= 10^4
  • 0 <= threshold <= n
  • 1 <= queries.length <= 10^5
  • queries[i].length == 2
  • 1 <= ai, bi <= cities
  • ai != bi


According to the meaning , Given n Cities , from 1 To n Mark . If and only if x and y Share a strictly greater than a threshold When the common divisor of , The label is x and y Two different cities in are directly connected by a two-way road . If there is an integer z Make all the following conditions true , Then the label is x and y There is a road between our cities :

  • x % z == 0
  • y % z == 0
  • z > threshold

Given two integers n and threshold , And an array queries , For each queries[i] = [ai, bi] , Confirm City ai and bi Whether they are connected , Directly or indirectly . Returns an array answer , among answer.length == queries.length also answer[i] If for the second i A query , If there are paths between cities , be answer[i] by true, If there is no path , be answer[i] by false.

In fact, what this topic examines is to choose two cities to merge , If you use violence to solve , First traversal x The city traverses again y City , In judging whether they are connected , Time complexity is too high . Another way of thinking is to traverse greater than threshold The common factor of t , Then at less than or equal to n Look for t Multiple , As long as it is t Multiple cities can be merged into one , Give these cities the smallest city id As their ancestors . Finally, convenience queries Every pair of cities in , If their ancestors are the same, they are interlinked , Otherwise, it means that they are not connected .


class Solution(object):
    def areConnected(self, n, threshold, queries):
        :type n: int
        :type threshold: int
        :type queries: List[List[int]]
        :rtype: List[bool]
        father = {i:i for i in range(1, n+1)}
        visited = {i:0 for i in range(1, n+1)}
        for t in range(threshold+1, n+1):
            if visited[t]:continue
            for x in range(t, n+1, t):
                visited[x] = 1
                if self.getFather(x,father) != self.getFather(t,father): self.union(x, t,father)
        result = []
        for query in queries:
        return result
    def union(self,a,b,father):
        a = father[a]
        b = father[b]
        if a<b: father[b] =  a
        else: father[a] = b

    def getFather(self,x,father):
        if father[x] != x: 
            father[x] = self.getFather(father[x],father)
        return father[x]


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Running results

Runtime: 824 ms, faster than 100.00% of Python online submissions for Graph Connectivity With Threshold.
Memory Usage: 51.4 MB, less than 100.00% of Python online submissions for Graph Connectivity With Threshold.
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