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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 modelparams_to_state(self, modelparams):
 """ Converts one or more vectors of model parameters into QuTiP-represented states. :param np.ndarray modelparams: Array of shape ``(basis.dim ** 2, )`` or ``(n_states, basis.dim ** 2)`` containing states represented as model parameter vectors in this basis. :rtype: :class:`~qutip.Qobj` or `list` of :class:`~qutip.Qobj` instances. :return: The given states represented as :class:`~qutip.Qobj` instances. """

        if modelparams.ndim == 1:
            qobj = qt.Qobj(
                np.tensordot(modelparams, self.data, 1),
                dims=[self.dims, self.dims]
            )
            if self.superrep is not None:
                qobj.superrep = self.superrep
            return qobj
        else:
            return list(map(self.modelparams_to_state, modelparams))