code: def setup_method(self):
      super().setup_method()
      params = Params(
          {
              "model": {
                  "type": "simple_tagger",
                  "text_field_embedder": {
                      "token_embedders": {
                          "tokens": {
                              "type": "embedding",
                              "embedding_dim": 5,
                          }
                      }
                  },
                  "encoder": {
                      "type": "lstm",
                      "input_size": 5,
                      "hidden_size": 7,
                      "num_layers": 2,
                  },
              },
              "dataset_reader": {"type": "sequence_tagging"},
              "train_data_path": str(
                  self.FIXTURES_ROOT / "data" / "sequence_tagging.tsv"
              ),
              "validation_data_path": str(
                  self.FIXTURES_ROOT / "data" / "sequence_tagging.tsv"
              ),
              "data_loader": {"batch_size": 2},
              "trainer": {
                  "cuda_device": -1,
                  "num_epochs": 2,
                  "optimizer": "adam",
              },
          }
      )
      all_data_loaders = data_loaders_from_params(params)
      vocab = Vocabulary.from_params(
          params.pop("vocabulary", {}),
          instances=(
              instance
              for data_loader in all_data_loaders.values()
              for instance in data_loader.iter_instances()
          ),
      )
      model = Model.from_params(vocab=vocab, params=params.pop("model"))
  
      data_loader = all_data_loaders["train"]
      data_loader.index_with(vocab)
  
      trainer_params = params.pop("trainer")
      serialization_dir = os.path.join(
          self.TEST_DIR, "test_search_learning_rate"
      )
  
      self.trainer = Trainer.from_params(
          model=model,
          serialization_dir=serialization_dir,
          data_loader=data_loader,
          params=trainer_params,
          validation_data=None,
          validation_iterator=None,
      )
  
imports: import argparse
  import os
  import pytest
  from allennlp.common import Params
  from allennlp.data import Vocabulary
  from allennlp.models import Model
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase, requires_multi_gpu
  from allennlp.commands.find_learning_rate import search_learning_rate, find_learning_rate_from_args, find_learning_rate_model, FindLearningRate
  from allennlp.training import Trainer
  from allennlp.training.util import data_loaders_from_params
label_desc: Use image node_id 1 for calling the TestSearchLearningRate obj's underlying member method code with example usage: obj.setup_method() without return types