Generates a tuple containing a list of ones and a list of binary even numbers

generate_even_data.py

def generate_even_data(max_int: int, batch_size: int=16) -> Tuple[List[int], List[List[int]]]:
    # Get the number of binary places needed to represent the maximum number
    max_length = int(math.log(max_int, 2))

    # Sample batch_size number of integers in range 0-max_int
    sampled_integers = np.random.randint(0, int(max_int / 2), batch_size)

    # create a list of labels all ones because all numbers are even
    labels = [1] * batch_size

    # Generate a list of binary numbers for training.
    data = [create_binary_list_from_int(int(x * 2)) for x in sampled_integers]
    data = [([0] * (max_length - len(x))) + x for x in data]

    return labels, data