code: def setUp(self):
      super().setUp()
      self._mock_metadata = tf.compat.v1.test.mock.Mock()
      self._input_dict = {
          "input_data": types.Channel(
              type=_InputArtifact,
              producer_component_id="c",
              output_key="k",
          ),
          "input_string": types.Channel(
              type=standard_artifacts.String,
              producer_component_id="c2",
              output_key="k2",
          ).set_artifacts(
              [standard_artifacts.String(), standard_artifacts.String()]
          ),
      }
      input_dir = os.path.join(
          os.environ.get("TEST_TMP_DIR", self.get_temp_dir()),
          self._testMethodName,
          "input_dir",
      )
      # valid input artifacts must have a uri pointing to an existing directory.
      for key, input_channel in self._input_dict.items():
          for index, artifact in enumerate(input_channel.get()):
              artifact.id = index + 1
              uri = os.path.join(input_dir, key, str(artifact.id))
              artifact.uri = uri
              fileio.makedirs(uri)
      self._output_dict = {
          "output_data": types.Channel(type=_OutputArtifact),
          "output_multi_data": types.Channel(type=_OutputArtifact),
      }
      self._output_dict[
          "output_multi_data"
      ].matching_channel_name = "input_string"
      self._input_artifacts = channel_utils.unwrap_channel_dict(
          self._input_dict
      )
      self._output_artifacts = channel_utils.unwrap_channel_dict(
          self._output_dict
      )
      self._exec_properties = {
          "key": "value",
      }
      self._execution_id = 100
      self._execution = metadata_store_pb2.Execution()
      self._execution.id = self._execution_id
      self._context_id = 123
      self._driver_args = data_types.DriverArgs(enable_cache=True)
      self._pipeline_info = data_types.PipelineInfo(
          pipeline_name="my_pipeline_name",
          pipeline_root=os.environ.get(
              "TEST_TMP_DIR", self.get_temp_dir()
          ),
          run_id="my_run_id",
      )
      self._component_info = data_types.ComponentInfo(
          component_type="a.b.c",
          component_id="my_component_id",
          pipeline_info=self._pipeline_info,
      )
  
imports: import os
  from unittest import mock
  import tensorflow
  from tfx import types
  from tfx.dsl.components.base import base_driver
  from tfx.dsl.io import fileio
  from tfx.orchestration import data_types
  from tfx.types import channel
  from tfx.types import channel_utils
  from tfx.types import standard_artifacts
  from ml_metadata.proto import metadata_store_pb2
label_desc: Use image node_id 1 for calling the BaseDriverTest obj's underlying member method code with example usage: obj.setUp() without return types