code: def test_augmented_lstm_is_initialized_with_correct_biases(self):
      lstm = AugmentedLSTMCell(2, 3)
      true_state_bias = numpy.array(
          [0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0]
      )
      numpy.testing.assert_array_equal(
          lstm.state_linearity.bias.data.numpy(), true_state_bias
      )
  
      # Non-highway case.
      lstm = AugmentedLSTMCell(2, 3, use_highway=False)
      true_state_bias = numpy.array(
          [0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0]
      )
      numpy.testing.assert_array_equal(
          lstm.state_linearity.bias.data.numpy(), true_state_bias
      )
  
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 7 for calling the TestAugmentedLSTM obj's underlying member method code with example usage: obj.test_augmented_lstm_is_initialized_with_correct_biases() without return types