

You are given an array of distinct elements, and you have to rearrange the array elements in a zig-zag fashion. In other words, for every odd position ‘i’ in the array 'ARR,' 'ARR'[i] should be greater than 'ARR'[i-1] and 'ARR'[i] should be greater than 'ARR'[i+1].
For example:
Given ‘N’ = 4,
'ARR' = { 4, 3, 2, 1}
Then a possible array is 3, 4, 1, 2.
Note:
You are supposed to return the array, which is in a zig-zag fashion.
Since there can be multiple answers for a particular array, any of the possible solutions are accepted.
It can be proved. A zig-zag array is always possible for a given array.
The first line of input contains an integer ‘T’ denoting the number of test cases.
The first line of each test case contains a single integer, ‘N,’ where ‘N’ is the number of elements of the array.
The second line of each test case contains ‘N’ space-separated integers, denoting the array elements.
Output Format :
For each test case, You are supposed to return a zig-zag array for the given array. The runner function will print a single line containing a single integer which denotes whether the returned array is in zig-zag fashion or not.
Note:
You are not required to print the expected output; it has already been taken care of. Just implement the function.
1 <= ‘T’ <= 10
1 <= ‘N’ <= 5*10^3
0 <= 'ARR'[i] <= 10 ^ 6
Time Limit: 1sec.
2
4
4 3 2 1
5
2 4 6 8 10
1
1
For the first test case :
One possible configuration can be 3 4 1 2. Therefore, the array can be converted into a zig-zag fashion.
For the second test case:
One possible configuration can be 2, 8, 6, 10, 4. Therefore the given array can be converted.
2
4
3 2 4 5
5
6 1 3 2 5
1
1
Can we use sorting to solve this problem?
The idea is to sort the array and swap the pair of elements starting from index 1 (0-based Indexing).
The steps are as follows:
O(N*log(N)), where ‘N’ is the number given.
Since we are sorting the array and traversing the array once, the time complexity is O(N + N*log(N)). Hence, the overall time complexity will be O(N*log(N)).
O(1).
Since we are not using any extra space. Hence, the overall space complexity is O(1).