code: def test_apply_transform_extra_features_no_passthrough(self):
      with self.assertRaises(ValueError):
          with tf.compat.v1.Graph().as_default():
              with tf.compat.v1.Session().as_default():
                  input_floats = tf.constant([1234.0])  # tf.float32
                  input_features = {
                      "x": input_floats,
                      "extra_1": tf.constant("1"),
                      "extra_2": tf.constant("2"),
                  }
                  saved_transform_io.partially_apply_saved_transform_internal(
                      self._test_saved_model, input_features
                  )
  
imports: import os
  import tempfile
  import numpy
  import tensorflow
  from tensorflow_transform.saved import saved_transform_io
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.python.lib.io import file_io
  from tensorflow.python.ops import lookup_ops
label_desc: Use image node_id 3 for calling the SavedTransformIOTest obj's underlying member method code with example usage: obj.test_apply_transform_extra_features_no_passthrough() without return types