code: def test_apply_saved_transform_to_tensor_inside_scope(
      self, exported_in_tf1
  ):
      with tf.compat.v1.name_scope("my_scope"):
          input_floats = tf.constant([1237.0])  # tf.float32
          input_features = {"x": input_floats}
          transformed_features = self._get_saved_model_loader(
              exported_in_tf1
          ).apply_transform_model(input_features)
          self.assertEqual(["x_scaled"], list(transformed_features))
          result_tensor = transformed_features["x_scaled"]
          self.assertIsInstance(result_tensor, tf.Tensor)
          self.assertAllEqual(result_tensor.numpy(), [247.0])
  
imports: import os
  import shutil
  import tempfile
  import numpy
  import tensorflow
  from tensorflow_transform import graph_context
  from tensorflow_transform import impl_helper
  from tensorflow_transform import tf_utils
  from tensorflow_transform import test_case
  from tensorflow_transform.py_func.api import apply_pyfunc
  from tensorflow_transform.saved import constants
  from tensorflow_transform.saved import saved_transform_io
  from tensorflow_transform.saved import saved_transform_io_v2
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.python.lib.io import file_io
  from tensorflow.python.ops import script_ops
label_desc: Use image node_id 8 for calling the SavedTransformIOV2Test obj's underlying member method code with example usage: obj.test_apply_saved_transform_to_tensor_inside_scope(exported_in_tf1) without return types