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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 get_elements_between_bands(self, band_i, band_j):
 """ Method returning a numpy array with elements [cdum_x_real, cdum_x_imag, cdum_y_real, cdum_y_imag, cdum_z_real, cdum_z_imag] between bands band_i and band_j (vasp 1-based indexing) for all kpoints. Args: band_i (Integer):
 Index of band i band_j (Integer):
 Index of band j Returns: a numpy list of elements for each kpoint """

        if band_i < 1 or band_i > self.nb_bands or band_j < 1 or band_j > self.nb_bands:
            raise ValueError("Band index out of bounds")

        return self.data[:, band_i - 1, band_j - 1, :]