code: def sparkml_constructors():
      return (
          "sagemaker.sparkml.model.SparkMLPredictor(endpoint='a')",
          "sagemaker.sparkml.SparkMLPredictor(endpoint='b')",
          "SparkMLPredictor(endpoint='c')",
      )
  
file_path: sagemaker-python-sdk/tests/unit/sagemaker/cli/compatibility/v2/modifiers/test_predictors.py
imports: from __future__ import absolute_import
  import pasta
  import pytest
  from sagemaker.cli.compatibility.v2.modifiers import predictors
  from tests.unit.sagemaker.cli.compatibility.v2.modifiers.ast_converter import ast_call, ast_import
label_desc: Use image node_id 2 for calling a global function with example usage: sparkml_constructors() and returns: str,  str,  str