You are given an array/list 'ARR' of size 'N'. You task is to find if there exists a triplet (i, j, k) such that 0 < i , i + 1 < j , j + 1 < k and k < 'N' - 1 and the sum of the subarrays [0, i - 1],[i + 1, j - 1], [j + 1, k - 1], [k + 1, N - 1] are equal.
An array c is a subarray of array d if c can be obtained from d by deletion of several elements from the beginning and several elements from the end.Example:
let 'ARR' = [1, 2, 3] then the possible subarrays of 'ARR' will be - {1}, {2}, {3}, {1, 2}, {2, 3}, {1, 2, 3}.
Note: Assume That the Array has Zero-based indexing.
The first line of input contains an integer ‘T’ denoting the number of test cases to run. Then the test case follows.
The first line of each test case contains an integer ‘N’ representing the array’s size.
The second line of each test case contains 'N' space-separated integers representing the array’s elements.
Output format:
For each test case, print ‘True’ if such a triplet exists; else print ‘False’.
Output for each test case will be printed in a separate line.
Note:
You don’t have to take any input or print anything; it already has been taken care of. Just implement the function.
1 <= T <= 5
1 <= N <= 10 ^ 3
-10 ^ 6 <= ARR[i] <= 10 ^ 6
Time Limit: 1 sec
2
7
1 2 1 2 1 2 1
5
1 2 3 1 2
True
False
In first test case, If we take i = 1, j = 3 and k =5 we get - sum[0,i-1] -> sum[0,0]=1, sum[i+1, j-1] -> sum[2,2]=1, sum[j+1, k-1] -> sum[4,4]=1, sum[k+1,N-1] -> sum[6,6]=1. Here the sum of all subarrays formed is 1, So, "True" will be printed.
In second test case, here N = 5, the first condition i.e 0 < i, i - 1< j, j - 1 < k, k - 1 < n doesn’t satisfy for any triplet. So "False" will be printed.
2
6
1 2 1 2 1 2
9
1 2 3 -5 8 1 3 2 3
False
True
In first test case, we cannot get any triplet as equal sum is not possible. So, "False" is printed.
In second test case, we can get any triplet as equal sum is possible which is 3 by taking i = 2, j = 5 and j = 7. So, "True" is printed.
Think this by traversing over every subarray of the given array and checking whether these cuts we are making out of our indices i, j, k satisfy the given conditions.
To implement this approach, You have to understand the constraints first, i.e., 0 < i, i+1 < j , j+1< k < N-1.
If you carefully look at the constraints, you may notice the problem while splitting the array into slices or subarrays does not include the elements at index i, j, and k. So it can be simply observed that according to constraints during the slices you make, three of the elements will not get included in any of the slices. Every Slice needs to be non-empty, too, so your task is to make four of these partitions. You can conclude from these points that the array size should be at least 7 to find such a triplet, any size below 7 will result in ‘False’.
To simplify this we can write this as:
0 < i < N - 5
i + 1 < j < N - 3
j + 1 < k < N - 1
The algorithm will be:
O(N^4), where N is the size of ARR.
We are iterating over all possible i, j and k in O(N^3) time complexity. For each possible i, j and k we are finding the sum of the subarray in O(N) time complexity. Hence overall time complexity will be O(N^4).
O(1)
Because, Constant space is used.