code: def test_constructor_node_should_be_modified_tfs_constructor():
      tfs_constructors = (
          "sagemaker.tensorflow.serving.Model()",
          "sagemaker.tensorflow.serving.Predictor()",
          "Predictor()",
      )
  
      modifier = tfs.TensorFlowServingConstructorRenamer()
  
      for constructor in tfs_constructors:
          node = ast_call(constructor)
          assert modifier.node_should_be_modified(node) is True
  
file_path: sagemaker-python-sdk/tests/unit/sagemaker/cli/compatibility/v2/modifiers/test_tfs.py
imports: from __future__ import absolute_import
  import pasta
  from sagemaker.cli.compatibility.v2.modifiers import tfs
  from tests.unit.sagemaker.cli.compatibility.v2.modifiers.ast_converter import ast_call, ast_import
label_desc: Use image node_id 1 for calling a global function with example usage: test_constructor_node_should_be_modified_tfs_constructor() without return types