code: def setUp(self):
      super().setUp()
      # Mock tempfile.gettempdir() to be unique for each test to avoid race
      # condition when downloading model since these tests may run in parallel.
      mock_gettempdir = unittest_mock.patch.object(
          tempfile,
          "gettempdir",
          return_value=self.create_tempdir(),
          autospec=True,
      )
      self.mock_gettempdir = mock_gettempdir.start()
      self.addCleanup(mock_gettempdir.stop)
  
imports: import csv
  import io
  import os
  import tempfile
  from unittest import mock
  from absl.testing import parameterized
  import mock
  import numpy
  import numpy.testing
  import tensorflow
  from mediapipe.model_maker.python.core.data import cache_files
  from mediapipe.model_maker.python.text.text_classifier import bert_tokenizer
  from mediapipe.model_maker.python.text.text_classifier import dataset
  from mediapipe.model_maker.python.text.text_classifier import model_spec
  from mediapipe.model_maker.python.text.text_classifier import preprocessor
label_desc: Use image node_id 1 for calling the PreprocessorTest obj's underlying member method code with example usage: obj.setUp() without return types