
    Given a list of user interaction scores from paired content engagements, determine the number of content pairs that would create harmonious recommendations, where harmony is defined by the XOR of their interaction scores resulting in an even number. This matching mechanism helps identify compatible content combinations for the recommendation engine.
    

    
def find_even_pair(A):
    """
    Given a list of user interaction scores from paired content engagements, determine the number of content pairs that would create harmonious recommendations, where harmony is defined by the XOR of their interaction scores resulting in an even number. This matching mechanism helps identify compatible content combinations for the recommendation engine.
    

    """
def find_even_pair(A):
    """
    Given a list of user interaction scores from paired content engagements, determine the number of content pairs that would create harmonious recommendations, where harmony is defined by the XOR of their interaction scores resulting in an even number. This matching mechanism helps identify compatible content combinations for the recommendation engine.
    

    """
    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