code: def setUp(self):
      super().setUp()
      self._source_data_dir = os.path.join(
          os.path.dirname(os.path.dirname(__file__)), "testdata"
      )
      output_data_dir = os.path.join(
          os.environ.get(
              "TEST_UNDECLARED_OUTPUTS_DIR", self.get_temp_dir()
          ),
          self._testMethodName,
      )
      self.component_id = "test_component"
  
      # Create input dict.
      eval_examples = standard_artifacts.Examples()
      eval_examples.split_names = artifact_utils.encode_split_names(
          ["eval"]
      )
      eval_examples.uri = os.path.join(
          self._source_data_dir, "csv_example_gen"
      )
      model = standard_artifacts.Model()
      model.uri = os.path.join(self._source_data_dir, "trainer/current")
      self._input_dict = {
          constants.EXAMPLES_KEY: [eval_examples],
          constants.MODEL_KEY: [model],
      }
  
      # Create output dict.
      self._blessing = standard_artifacts.ModelBlessing()
      self._blessing.uri = os.path.join(output_data_dir, "blessing")
      self._output_dict = {constants.BLESSING_KEY: [self._blessing]}
  
      # Create context
      self._tmp_dir = os.path.join(output_data_dir, ".temp")
      self._context = executor.Executor.Context(
          tmp_dir=self._tmp_dir, unique_id="2"
      )
  
file_path: tfx/tfx/components/model_validator/executor_test.py
imports: import os
  import tensorflow
  from tfx.components.model_validator import constants
  from tfx.components.model_validator import executor
  from tfx.dsl.io import fileio
  from tfx.types import artifact_utils
  from tfx.types import standard_artifacts
label_desc: Use image node_id 1 for calling the ExecutorTest obj's underlying member method code with example usage: obj.setUp() without return types