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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 _validate_ard_shape(self, name, value, ARD=None):
 """ Validates the shape of a potentially ARD hyperparameter :param name: The name of the parameter (used for error messages) :param value: A scalar or an array. :param ARD: None, False, or True. If None, infers ARD from shape of value. :return: Tuple (value, ARD), where _value_ is a scalar if input_dim==1 or not ARD, array otherwise. The _ARD_ is False if input_dim==1 or not ARD, True otherwise. """

        if ARD is None:
            ARD = np.asarray(value).squeeze().shape != ()

        if ARD:
            # accept float or array:
            value = value * np.ones(self.input_dim, dtype=settings.float_type)

        if self.input_dim == 1 or not ARD:
            correct_shape = ()
        else:
            correct_shape = (self.input_dim,)

        if np.asarray(value).squeeze().shape != correct_shape:
            raise ValueError("shape of {} does not match input_dim".format(name))

        return value, ARD