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}

解法 :

这个题实际上是找到最大的环。要注意的一点是,一旦在前一个不同的环中被访问过,它就不会出现在当前环中,可以忽略。

The idea is to, start from every number, find circles in those index-pointer-chains, every time you find a set (a circle) mark every number as visited (-1) so that next time you won't step on it again.

Java:

public class Solution {
    public int arrayNesting(int[] a) {
        int maxsize = 0;
        for (int i = 0; i < a.length; i++) {
            int size = 0;
            for (int k = i; a[k] >= 0; size++) {
                int ak = a[k];
                a[k] = -1; // mark a[k] as visited;
                k = ak;
            }
            maxsize = Integer.max(maxsize, size);
        }

        return maxsize;
    }
}  

Python:

class Solution(object):
    def arrayNesting(self, nums):
        """
        :type nums: List[int]
        :rtype: int
        """
        ans, step, n = 0, 0, len(nums)
        seen = [False] * n
        for i in range(n):
            while not seen[i]:
                seen[i] = True
                i, step = nums[i], step + 1
            ans = max(ans, step)
            step = 0
        return ans

C++:

class Solution {
public:
    int arrayNesting(vector<int>& a) {
        size_t maxsize = 0;
        for (int i = 0; i < a.size(); i++) {
            size_t size = 0;
            for (int k = i; a[k] >= 0; size++) {
                int ak = a[k];
                a[k] = -1; // mark a[k] as visited;
                k = ak;
            }
            maxsize = max(maxsize, size);
        }

        return maxsize;
    }
};

  

  

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04-18 13:10