def energies(self, samples_like, dtype=np.float):
        """Determine the energies of the given samples.

        Args:
            samples_like (samples_like):
                A collection of raw samples. `samples_like` is an extension of NumPy's array_like
                structure. See :func:`.as_samples`.

            dtype (:class:`numpy.dtype`):
                The data type of the returned energies.

        Returns:
            :obj:`numpy.ndarray`: The energies.

        """
        samples, labels = as_samples(samples_like)

        if all(v == idx for idx, v in enumerate(labels)):
            ldata, (irow, icol, qdata), offset = self.to_numpy_vectors(dtype=dtype)
        else:
            ldata, (irow, icol, qdata), offset = self.to_numpy_vectors(variable_order=labels, dtype=dtype)

        energies = samples.dot(ldata) + (samples[:, irow]*samples[:, icol]).dot(qdata) + offset
        return np.asarray(energies, dtype=dtype)
Determine the energies of the given samples.

        Args:
            samples_like (samples_like):
                A collection of raw samples. `samples_like` is an extension of NumPy's array_like
                structure. See :func:`.as_samples`.

            dtype (:class:`numpy.dtype`):
                The data type of the returned energies.

        Returns:
            :obj:`numpy.ndarray`: The energies.