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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def arraymax(X,Y):
 """ Fast "vectorized" max function for element-wise comparison of two numpy arrays. For two numpy arrays `X` and `Y` of equal length, return numpy array `Z` such that:: Z[i] = max(X[i],Y[i]) **Parameters** **X** : numpy array Numpy array; `len(X) = len(Y)`. **Y** : numpy array Numpy array; `len(Y) = len(X)`. **Returns** **Z** : numpy array Numpy array such that `Z[i] = max(X[i],Y[i])`. **See Also** :func:`tabular.fast.arraymin` """

    Z = np.zeros((len(X),), int)
    A = X <= Y
    B = Y < X
    Z[A] = Y[A]
    Z[B] = X[B]
    return Z