def METHOD_NAME(self, equal_length=False, numpify=False):
    def _flatten(list_of_lists):
        return list(itertools.chain(*list_of_lists))
    if equal_length:
        speech_inputs = floats_list((self.batch_size, self.max_seq_length))
    else:
        # make sure that inputs increase in size
        speech_inputs = [
            _flatten(floats_list((x, self.feature_size)))
            for x in range(self.min_seq_length, self.max_seq_length, self.seq_length_diff)
        ]
    if numpify:
        speech_inputs = [np.asarray(x) for x in speech_inputs]
    return speech_inputs