code: def testCompositeComputeAndApplyVocabulary(
      self,
      input_data,
      input_metadata,
      expected_data,
      expected_vocab_contents,
      store_frequency,
  ):
      def preprocessing_fn(inputs):
          index = tft.compute_and_apply_vocabulary(
              inputs["x"],
              file_format=self._VocabFormat(),
              store_frequency=store_frequency,
              vocab_filename="my_vocab",
          )
          return {"index": index}
  
      if store_frequency:
  
          def format_pair(t: bytes, c: int) -> str:
              t = t.decode("utf-8")
              if t != " " or self._VocabFormat() != "text":
                  suffix = " " + t
              else:
                  suffix = " __SPACE__"
              return f"{c}{suffix}"
  
          contents = [
              format_pair(t, c).encode("utf-8")
              for t, c in expected_vocab_contents.items()
          ]
      else:
          contents = [t for t in expected_vocab_contents]
  
      expected_vocab_file_contents = {"my_vocab": contents}
  
      self.assertAnalyzeAndTransformResults(
          input_data,
          input_metadata,
          preprocessing_fn,
          expected_data,
          expected_vocab_file_contents=expected_vocab_file_contents,
      )
  
imports: import os
  import apache_beam
  import tensorflow
  import tensorflow_transform
  from tensorflow_transform.beam import analyzer_impls
  from tensorflow_transform.beam import impl
  from tensorflow_transform.beam.tft_beam_io import transform_fn_io
  from tensorflow_transform.beam import tft_unit
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 9 for calling the VocabularyIntegrationTest obj's underlying member method code with example usage: obj.testCompositeComputeAndApplyVocabulary(input_data, input_metadata, expected_data, expected_vocab_contents, store_frequency) and returns: dict, c, suffix