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Array Nesting 解答

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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:

  1. N is an integer within the range [1, 20,000].
  2. The elements of A are all distinct.
  3. 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
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