code: def setup_method(self):
      super().setup_method()
      tensor = torch.rand([5, 7, 10])
      tensor[0, 3:, :] = 0
      tensor[1, 4:, :] = 0
      tensor[2, 2:, :] = 0
      tensor[3, 6:, :] = 0
      sequence_lengths = torch.LongTensor([3, 4, 2, 6, 7])
      self.random_tensor = tensor
      self.sequence_lengths = sequence_lengths
  
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 1 for calling the TestAugmentedLSTM obj's underlying member method code with example usage: obj.setup_method() without return types