Array Depth-First Search Difficulty Medium
Description You are given an integer array nums of length n where nums is a permutation of the numbers in the range [0, n - 1].
You should build a set s[k] = {nums[k], nums[nums[k]], nums[nums[nums[k]]], ... } subjected to the following rule:
The first element in s[k] starts with the selection of the element nums[k] of index = k. The next element in s[k] should be nums[nums[k]], and then nums[nums[nums[k]]], and so on. We stop adding right before a duplicate element occurs in s[k]. Return the longest length of a set s[k].
Example 1:
Input: nums = [5,4,0,3,1,6,2]
Output: 4
Explanation:
nums[0] = 5, nums[1] = 4, nums[2] = 0, nums[3] = 3, nums[4] = 1, nums[5] = 6, nums[6] = 2.
One of the longest sets s[k]:
s[0] = {nums[0], nums[5], nums[6], nums[2]} = {5, 6, 2, 0}
Example 2:
Input: nums = [0,1,2]
Output: 1
Constraints:
1 <= nums.length <= 105 0 <= nums[i] < nums.length All the values of nums are unique . Solutions Solution 1 Thinking
\(A[i]\) points to \(A[A[i]]\) , partitioning the array into disjoint cycles. A nest is a cycle. Walking from every index would revisit the same cycle.
A visited array marks seen indices; start a walk only from an unseen index and count the cycle. Disjointness visits each index once. The longest cycle is the answer.
Python3 Java C++ Go
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16 class Solution :
def arrayNesting ( self , nums : List [ int ]) -> int :
n = len ( nums )
vis = [ False ] * n
res = 0
for i in range ( n ):
if vis [ i ]:
continue
cur , m = nums [ i ], 1
vis [ cur ] = True
while nums [ cur ] != nums [ i ]:
cur = nums [ cur ]
m += 1
vis [ cur ] = True
res = max ( res , m )
return res
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21 class Solution {
public int arrayNesting ( int [] nums ) {
int n = nums . length ;
boolean [] vis = new boolean [ n ] ;
int res = 0 ;
for ( int i = 0 ; i < n ; i ++ ) {
if ( vis [ i ] ) {
continue ;
}
int cur = nums [ i ] , m = 1 ;
vis [ cur ] = true ;
while ( nums [ cur ] != nums [ i ] ) {
cur = nums [ cur ] ;
m ++ ;
vis [ cur ] = true ;
}
res = Math . max ( res , m );
}
return res ;
}
}
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20 class Solution {
public :
int arrayNesting ( vector < int >& nums ) {
int n = nums . size ();
vector < bool > vis ( n );
int res = 0 ;
for ( int i = 0 ; i < n ; ++ i ) {
if ( vis [ i ]) continue ;
int cur = nums [ i ], m = 1 ;
vis [ cur ] = true ;
while ( nums [ cur ] != nums [ i ]) {
cur = nums [ cur ];
++ m ;
vis [ cur ] = true ;
}
res = max ( res , m );
}
return res ;
}
};
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21 func arrayNesting ( nums [] int ) int {
n := len ( nums )
vis := make ([] bool , n )
ans := 0
for i := 0 ; i < n ; i ++ {
if vis [ i ] {
continue
}
cur , m := nums [ i ], 1
vis [ cur ] = true
for nums [ cur ] != nums [ i ] {
cur = nums [ cur ]
m ++
vis [ cur ] = true
}
if m > ans {
ans = m
}
}
return ans
}
Solution 2 Thinking
Solution 1 uses an \(O(n)\) visited array. Values already lie in \([0,n-1]\) , so the sentinel \(n\) can mark a visited cell in place.
Walk the cycle, write \(n\) into each cell, and count. A stored \(n\) means this index was already processed. Extra space becomes constant; the cycles are the same.
Python3 Java C++ Go
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12 class Solution :
def arrayNesting ( self , nums : List [ int ]) -> int :
ans , n = 0 , len ( nums )
for i in range ( n ):
cnt = 0
while nums [ i ] != n :
j = nums [ i ]
nums [ i ] = n
i = j
cnt += 1
ans = max ( ans , cnt )
return ans
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17 class Solution {
public int arrayNesting ( int [] nums ) {
int ans = 0 , n = nums . length ;
for ( int i = 0 ; i < n ; ++ i ) {
int cnt = 0 ;
int j = i ;
while ( nums [ j ] < n ) {
int k = nums [ j ] ;
nums [ j ] = n ;
j = k ;
++ cnt ;
}
ans = Math . max ( ans , cnt );
}
return ans ;
}
}
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18 class Solution {
public :
int arrayNesting ( vector < int >& nums ) {
int ans = 0 , n = nums . size ();
for ( int i = 0 ; i < n ; ++ i ) {
int cnt = 0 ;
int j = i ;
while ( nums [ j ] < n ) {
int k = nums [ j ];
nums [ j ] = n ;
j = k ;
++ cnt ;
}
ans = max ( ans , cnt );
}
return ans ;
}
};
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16 func arrayNesting ( nums [] int ) int {
ans , n := 0 , len ( nums )
for i := range nums {
cnt , j := 0 , i
for nums [ j ] != n {
k := nums [ j ]
nums [ j ] = n
j = k
cnt ++
}
if ans < cnt {
ans = cnt
}
}
return ans
}
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