


1. Pair (x,y) and Pair(y,x) are considered as the same pair.
2. If there exists no such pair with sum equals to 'TARGET', then return -1.
Let ‘ARR’ = [1 2 3] and ‘TARGET’ = 4. Then, there exists only one pair in ‘ARR’ with a sum of 4 which is (1, 3). (1, 3) and (3, 1) are counted as only one pair.
The first line of input contains an integer ‘T’ which denotes the number of test cases.
The first line of each test case contains two single space-separated integers ‘N’ and ‘TARGET’ representing the number of elements in the array/list ‘ARR’ and the required pair-sum respectively.
The next line of each test case contains ‘N’ single space-separated integers denoting the elements of ‘ARR’.
For each test case, return the numbers of pairs in ‘ARR’ whose sum is equal to ‘TARGET’.
You don't need to print anything, it has already been taken care of. Just implement the given function.
1 <= ‘T’ <= 100
2 <= ‘N’ <= 5000
1 <= ‘ARR[i]’, ‘TARGET’ <= 10^5
Where ARR[i]’ represents the elements of array/list ‘ARR’.
Time Limit: 1 sec
First, we declare a variable 'COUNTPAIR’ in which we store all pairs whose sum is equal to 'TARGET’. Then, we traverse the array ‘ARR’ and assume every element as the first element of the pair. Then we again traverse the remaining array and consider every element as a second element of the pair, and check whether the sum of the two elements is equal to 'TARGET' or not. If it is equal to 'TARGET',’ then we increase our ‘COUNTPAIR’ by 1.
The steps are as follows:
We can optimize our solution. We know the array/list elements are present in sorted order, so we can apply two pointers technique. We declare two variables, 'START' and 'END', and initialize 'START' with 0 and 'END' with 'N' - 1.
Then we run a loop while the 'START' is less than the 'END'. In every iteration, we have three possibilities:
The steps are as follows: