code: def setUp(self):
      super(TestOptimizer, self).setUp()
      self.instances = SequenceTaggingDatasetReader().read(
          self.FIXTURES_ROOT / "data" / "sequence_tagging.tsv"
      )
      vocab = Vocabulary.from_instances(self.instances)
      self.model_params = Params(
          {
              "text_field_embedder": {
                  "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
      )
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/training/optimizer_test.py
imports: from __future__ import division
  from __future__ import absolute_import
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Vocabulary
  from allennlp.common.params import Params
  from allennlp.models.simple_tagger import SimpleTagger
  from allennlp.data.dataset_readers import SequenceTaggingDatasetReader
  from allennlp.training.optimizers import Optimizer
  from allennlp.training.trainer import Trainer
  from allennlp.data.iterators import BasicIterator
label_desc: Use image node_id 1 for calling the TestOptimizer obj's underlying member method code with example usage: obj.setUp() without return types