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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 normalized(vector):
 """ Get unit vector for a given one. :param vector: Numpy vector as coordinates in Cartesian space, or an array of such. :returns: Numpy array of the same shape and structure where all vectors are normalized. That is, each coordinate component is divided by its vector's length. """

    length = numpy.sum(vector * vector, axis=-1)
    length = numpy.sqrt(length.reshape(length.shape + (1, )))
    return vector / length