
    Given a list of binary transaction patterns from credit card usage, determine the number of transaction pairs that, when XORed together, result in an even number - indicating a normal transaction pattern. Each pattern in the list is represented as an integer value derived from transaction characteristics, and the count of valid pairs helps establish baseline patterns for fraud detection.
    

    
def find_even_pair(A):
    """
    Given a list of binary transaction patterns from credit card usage, determine the number of transaction pairs that, when XORed together, result in an even number - indicating a normal transaction pattern. Each pattern in the list is represented as an integer value derived from transaction characteristics, and the count of valid pairs helps establish baseline patterns for fraud detection.
    

    """
def find_even_pair(A):
    """
    Given a list of binary transaction patterns from credit card usage, determine the number of transaction pairs that, when XORed together, result in an even number - indicating a normal transaction pattern. Each pattern in the list is represented as an integer value derived from transaction characteristics, and the count of valid pairs helps establish baseline patterns for fraud detection.
    

    """
    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