code: def test_get_analysis_cache_entry_keys(self, use_tf_compat_v1):
      if not use_tf_compat_v1:
          tft_unit.skip_if_not_tf2("Tensorflow 2.x required")
      full_dataset_keys = map(analyzer_cache.DatasetKey, ["a", "b"])
  
      def preprocessing_fn(inputs):
          return {"x": tft.scale_to_0_1(inputs["x"])}
  
      mocked_cache_entry_key = "A"
  
      def mocked_make_cache_entry_key(_):
          return mocked_cache_entry_key
  
      feature_spec = {"x": tf.io.FixedLenFeature([], tf.float32)}
      specs = (
          feature_spec
          if use_tf_compat_v1
          else impl_helper.get_type_specs_from_feature_specs(
              feature_spec
          )
      )
      with mock.patch(
          "tensorflow_transform.beam.analysis_graph_builder."
          "analyzer_cache.make_cache_entry_key",
          side_effect=mocked_make_cache_entry_key,
      ):
          cache_entry_keys = (
              analysis_graph_builder.get_analysis_cache_entry_keys(
                  preprocessing_fn,
                  specs,
                  full_dataset_keys,
                  force_tf_compat_v1=use_tf_compat_v1,
              )
          )
      self.DebugPublishLatestsRenderedTFTGraph()
      self.assertCountEqual(cache_entry_keys, [mocked_cache_entry_key])
  
imports: import os
  import tensorflow
  import tensorflow_transform
  from tensorflow_transform import analyzer_nodes
  from tensorflow_transform import impl_helper
  from tensorflow_transform import nodes
  from tensorflow_transform import tf2_utils
  from tensorflow_transform.beam import analysis_graph_builder
  from tensorflow_transform.beam import analyzer_cache
  from tensorflow_transform.beam import tft_unit
  from tfx_bsl.types import tfx_namedtuple
label_desc: Use image node_id 3 for calling the AnalysisGraphBuilderTest obj's underlying member method code with example usage: obj.test_get_analysis_cache_entry_keys(use_tf_compat_v1) and returns: dict, mocked_cache_entry_key