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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 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)