
    Given a list of user interaction scores where each score represents encoded shared interests between users, determine the number of potential friend pairs whose combined interest patterns (calculated using XOR) result in an even compatibility score. A higher count of compatible pairs indicates more opportunities for meaningful friend recommendations within the social network.
    

    
def find_even_pair(A):
    """
    Given a list of user interaction scores where each score represents encoded shared interests between users, determine the number of potential friend pairs whose combined interest patterns (calculated using XOR) result in an even compatibility score. A higher count of compatible pairs indicates more opportunities for meaningful friend recommendations within the social network.
    

    """
def find_even_pair(A):
    """
    Given a list of user interaction scores where each score represents encoded shared interests between users, determine the number of potential friend pairs whose combined interest patterns (calculated using XOR) result in an even compatibility score. A higher count of compatible pairs indicates more opportunities for meaningful friend recommendations within the social network.
    

    """
    count = 0
    for i in range(0, len(A)):
        for j in range(i + 1, len(A)):
            if (A[i] ^ A[j]) % 2 == 0:
                count += 1
    return count