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import numpy as np
from numpy.typing import Array

def multiply_arrays(a: Array[float], b: Array[float]) -> Array[float]:
    return a * b

# Create two NumPy arrays
x = np.array([1.0, 2.0, 3.0])
y = np.array([4.0, 5.0, 6.0])

# Call the function with the arrays
result = multiply_arrays(x, y)

# Print the result
print(result)

import numpy as np
from numpy import ndarray

def mae_loss_function(array_1: ndarray, array_2: ndarray) -> float:
    """Calculates the mean absolute error (MAE) between two ndarrays.

    Args:
        array_1: The first array.
        array_2: The second array.

    Returns:
        The mean absolute error (MAE) between the two arrays.
    """
    return np.mean(np.abs(array_1 - array_2))