code: def test_tf_data_compatibility(self):
      layer = layers.StringLookup(
          output_mode="int",
          vocabulary=["a", "b", "c"],
      )
      input_data = ["b", "c", "d"]
      ds = (
          tf_data.Dataset.from_tensor_slices(input_data)
          .batch(3)
          .map(layer)
      )
      for output in ds.take(1):
          output = output.numpy()
      self.assertAllClose(output, np.array([2, 3, 0]))
  
file_path: keras/keras/layers/preprocessing/string_lookup_test.py
imports: import numpy
  from tensorflow import data
  from keras import backend
  from keras import layers
  from keras import testing
label_desc: Use image node_id 5 for calling the StringLookupTest obj's underlying member method code with example usage: obj.test_tf_data_compatibility() without return types