Question A zero-indexed array A of length N contains all integers from 0 to N-1. Find and return the longest length of set S, where S[i] = {A[i], A[A[i]], A[A[A[i]]], ... } subjected to the rule below. Suppose the first element in S starts
Question
A zero-indexed array A of length N contains all integers from 0 to N-1. Find and return the longest length of set S, where S[i] = {A[i], A[A[i]], A[A[A[i]]], ... } subjected to the rule below.
Suppose the first element in S starts with the selection of element A[i] of index = i, the next element in S should be A[A[i]], and then A[A[A[i]]]… By that analogy, we stop adding right before a duplicate element occurs in S.
Example 1:
Input: A = [5,4,0,3,1,6,2] Output: 4 Explanation: A[0] = 5, A[1] = 4, A[2] = 0, A[3] = 3, A[4] = 1, A[5] = 6, A[6] = 2. One of the longest S[K]: S[0] = {A[0], A[5], A[6], A[2]} = {5, 6, 2, 0}
Note:
- N is an integer within the range [1, 20,000].
- The elements of A are all distinct.
- Each element of A is an integer within the range [0, N-1].
Solution
这道题的关键是建立visited数组,如果起始的元素已经被遍历过了,那么我们就不用再遍历。注意:因为Note里强调了Input数组中没有相同的元素,我们只需要检查起始元素有无被遍历。
1 class Solution: 2 def arrayNesting(self, nums: List[int]) -> int: 3 result = -1 4 n = len(nums) 5 visited = [False] * n 6 for i in range(n): 7 if visited[i]: 8 continue 9 count, j = 0, i 10 while count == 0 or j != i: 11 visited[j] = True 12 j = nums[j] 13 count += 1 14 result = max(result, count) 15 return result