code: def test_biaugmented_lstm(self):
      for bidirectional in [True, False]:
          bi_augmented_lstm = BiAugmentedLstm(
              10,
              11,
              3,
              recurrent_dropout_probability=0.1,
              bidirectional=bidirectional,
          )
          sorted_tensor, sorted_sequence, _, _ = sort_batch_by_length(
              self.random_tensor, self.sequence_lengths
          )
          lstm_input = pack_padded_sequence(
              sorted_tensor,
              sorted_sequence.data.tolist(),
              batch_first=True,
          )
          bi_augmented_lstm(lstm_input)
  
imports: import pytest
  import numpy
  import torch
  import torch.nn.init
  from torch.nn.modules.rnn import LSTM
  from torch.nn.utils.rnn import pad_packed_sequence, pack_padded_sequence
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.params import Params
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.modules.augmented_lstm import AugmentedLstm, AugmentedLSTMCell, BiAugmentedLstm
  from allennlp.nn import InitializerApplicator, Initializer
  from allennlp.nn.util import sort_batch_by_length
label_desc: Use image node_id 10 for calling the TestAugmentedLSTM obj's underlying member method code with example usage: obj.test_biaugmented_lstm() without return types