Given a binary array a[] or size N and an integer K, the task is to find the longest subarray consisting of only 1s or only 0s when at most K elements can be flipped (i.e change 1 to 0 or 0 to 1).
Examples:
Input: a[] = {1, 0, 0, 1, 1, 0, 1}, K = 1.
Output: 4
Explanation: Flip element of index 0(0-based index) to 0.
Then the maximum subarray with all 0 will be of length 3 [0-2]
Flip index 5 to 1. The maximum subarray with all 1’s will be of length 4 [3-6]
So the maximum of (3, 4) is 4. So the answer is 4 for this test case.Input : a[] = {1, 0, 0, 1, 0, 1, 0, 1, 0, 1}, K = 2.
Output : 6
Explanation: Flip 2-1’s to 0 or 2-0’s to 1.
So after flipping element of index 6 and 8 to 1,
the maxlength of the subarray consisting of only 1’s is 5 [5 to 9].
Flip element of index 3 and 5 to 0 then the maxlength
of the subarray consisting of only 0’s is 6 [1 to 6]
The maximum of both of them is 6. So the answer is 6 for this input.
Approach: This problem can be solved using two pointers approach and sliding window algorithm based on the following idea.
Run for loop two times –
- One loop to maintain subsegment [l, r] to contain not more than K 0s and find maximum length of subarray containing only 1s and
- Second loop to maintain subsegment [l, r] to contain not more than K 1s and find maximum length of subarray containing only 0s.
Then return maximum of the both lengths.
Follow the given steps to solve the problem:
- Finding the longest subarray containing only 1s with at most K -flips:
- Declare variable cnt and an integer pointer left which will point at index 0 in the beginning.
- Now run a loop from 0 to N and at any position:
- If arr[i] equals 0, then increase the cnt variable.
- At any position, if the cnt is greater than K, move the left pointer to the right side and again check if arr[left] equals 0,
- Then decrease the cnt variable and run this loop until cnt is greater than K.
- Store the maximum length of subarray containing only 1’s and calculate this length as (current index – left pointer + 1).
- Find the longest subarray containing only 0s with at most K-flips and store its length in the similar way.
- Return the maximum among both of the maximum lengths.
Below is the implementation for the above approach:
C++
// C++ program for the above approach #include <bits/stdc++.h> using namespace std; // Function to find the longest subarray // following the given conditions int longestSubSeg( int arr[], int N, int K) { int cnt = 0; int left = 0; int maximum_len1 = 0; int maximum_len0 = 0; // Finding length of maximum subarray // containing 1's only with atmost k flips for ( int i = 0; i < N; i++) { if (arr[i] == 0) cnt++; while (cnt > K) { if (arr[left] == 0) cnt--; left++; } maximum_len1 = max(maximum_len1, i - left + 1); } // Set these variables to 0 for further use cnt = 0; left = 0; // Finding length of maximum subarray // containing 0's only with atmost k flips for ( int i = 0; i < N; i++) { if (arr[i] == 1) cnt++; while (cnt > K) { if (arr[left] == 1) cnt--; left++; } maximum_len0 = max(maximum_len0, i - left + 1); } return max(maximum_len1, maximum_len0); } // Driver code int main() { int arr[] = { 1, 0, 0, 1, 0, 1, 0, 1 }; int K = 2; int N = sizeof (arr) / sizeof (arr[0]); // Function call cout << longestSubSeg(arr, N, K); return 0; } |
Java
// Java program for the above approach import java.io.*; class GFG { // Function to find the longest subarray // following the given conditions static int longestSubSeg( int arr[], int N, int K) { int cnt = 0 ; int left = 0 ; int max_len1 = 0 ; int max_len0 = 0 ; // Finding length of maximum subarray // containing 1's only with atmost k flips for ( int i = 0 ; i < N; i++) { if (arr[i] == 0 ) cnt++; while (cnt > K) { if (arr[left] == 0 ) cnt--; left++; } max_len1 = Math.max(max_len1, i - left + 1 ); } // Initialize with again 0 for further use left = 0 ; cnt = 0 ; // Finding length of maximum subarray // containing only 0's with atmost k flips for ( int i = 0 ; i < N; i++) { if (arr[i] == 1 ) cnt++; while (cnt > K) { if (arr[left] == 1 ) cnt--; left++; } max_len0 = Math.max(max_len0, i - left + 1 ); } return Math.max(max_len1, max_len0); } // Driver code public static void main(String[] args) { int a[] = { 1 , 0 , 0 , 1 , 0 , 1 , 0 , 1 }; int K = 2 ; int N = a.length; // Function call System.out.println(longestSubSeg(a, N, K)); } } |
Python3
# Python program for the above approach # Function to find the longest subarray # following the given conditions def longestSubSeg(arr, N, K): cnt = 0 left = 0 maximum_len1 = 0 maximum_len0 = 0 # Finding length of maximum subarray # containing 1's only with atmost k flips for i in range ( 0 , N): if (arr[i] = = 0 ): cnt = cnt + 1 while (cnt > K): if (arr[left] = = 0 ): cnt = cnt - 1 left = left + 1 maximum_len1 = max (maximum_len1, i - left + 1 ) # Set these variables to 0 for further use cnt = 0 left = 0 # Finding length of maximum subarray # containing 0's only with atmost k flips for i in range ( 0 , N): if (arr[i] = = 1 ): cnt = cnt + 1 while (cnt > K): if (arr[left] = = 1 ): cnt = cnt - 1 left = left + 1 maximum_len0 = max (maximum_len0, i - left + 1 ) return max (maximum_len1, maximum_len0) # Driver code arr = [ 1 , 0 , 0 , 1 , 0 , 1 , 0 , 1 ] K = 2 N = len (arr) # Function call print (longestSubSeg(arr, N, K)) # This code is contributed by Taranpreet |
C#
// C# program for the above approach using System; public class GFG { // Function to find the longest subarray following the // given conditions static int longestSubSeg( int [] arr, int N, int K) { int cnt = 0; int left = 0; int max_len1 = 0; int max_len0 = 0; // Finding length of maximum subarray containing 1's // only with atmost k flips for ( int i = 0; i < N; i++) { if (arr[i] == 0) cnt++; while (cnt > K) { if (arr[left] == 0) cnt--; left++; } max_len1 = Math.Max(max_len1, i - left + 1); } // Initialize with again 0 for further use left = 0; cnt = 0; // Finding length of maximum subarray containing // only 0's with atmost k flips for ( int i = 0; i < N; i++) { if (arr[i] == 1) cnt++; while (cnt > K) { if (arr[left] == 1) cnt--; left++; } max_len0 = Math.Max(max_len0, i - left + 1); } return Math.Max(max_len1, max_len0); } static public void Main() { // Code int [] a = { 1, 0, 0, 1, 0, 1, 0, 1 }; int K = 2; int N = a.Length; // Function call Console.WriteLine(longestSubSeg(a, N, K)); } } // This code is contributed by lokesh (lokeshmvs21). |
Javascript
<script> // JavaScript program for the above approach // Function to find the longest subarray // following the given conditions const longestSubSeg = (arr, N, K) => { let cnt = 0; let left = 0; let maximum_len1 = 0; let maximum_len0 = 0; // Finding length of maximum subarray // containing 1's only with atmost k flips for (let i = 0; i < N; i++) { if (arr[i] == 0) cnt++; while (cnt > K) { if (arr[left] == 0) cnt--; left++; } maximum_len1 = Math.max(maximum_len1, i - left + 1); } // Set these variables to 0 for further use cnt = 0; left = 0; // Finding length of maximum subarray // containing 0's only with atmost k flips for (let i = 0; i < N; i++) { if (arr[i] == 1) cnt++; while (cnt > K) { if (arr[left] == 1) cnt--; left++; } maximum_len0 = Math.max(maximum_len0, i - left + 1); } return Math.max(maximum_len1, maximum_len0); } // Driver code let arr = [1, 0, 0, 1, 0, 1, 0, 1]; let K = 2; let N = arr.length; // Function call document.write(longestSubSeg(arr, N, K)); // This code is contributed by rakeshsahni </script> |
6
Time Complexity: O(N)
Auxiliary Space: O(1)
Ready to dive in? Explore our Free Demo Content and join our DSA course, trusted by over 100,000 neveropen!