code: def setup_method(self):
      super().setup_method()
      self.instances = SequenceTaggingDatasetReader().read(
          self.FIXTURES_ROOT / "data" / "sequence_tagging.tsv"
      )
  
      vocab = Vocabulary.from_instances(self.instances)
      self.model_params = Params(
          {
              "text_field_embedder": {
                  "token_embedders": {
                      "tokens": {
                          "type": "embedding",
                          "embedding_dim": 5,
                      }
                  }
              },
              "encoder": {
                  "type": "lstm",
                  "input_size": 5,
                  "hidden_size": 7,
                  "num_layers": 2,
              },
          }
      )
      self.model = SimpleTagger.from_params(
          vocab=vocab, params=self.model_params
      )
  
imports: import copy
  import re
  from allennlp.common.params import Params
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Vocabulary
  from allennlp.data.dataset_readers import SequenceTaggingDatasetReader
  from allennlp.data.data_loaders import SimpleDataLoader
  from allennlp.models.simple_tagger import SimpleTagger
  from allennlp.training import GradientDescentTrainer
  from allennlp.training.optimizers import Optimizer
label_desc: Use image node_id 1 for calling the TestMultiOptimizer obj's underlying member method code with example usage: obj.setup_method() without return types