code: def test_modify_node():
      node = ast_call(
          "TensorFlow(distributions={'parameter_server': {'enabled': True}})"
      )
      modifier = renamed_params.DistributionParameterRenamer()
      modifier.modify_node(node)
  
      expected = "TensorFlow(distribution={'parameter_server': {'enabled': True}})"
      assert expected == pasta.dump(node)
  
imports: from __future__ import absolute_import
  import pasta
  from sagemaker.cli.compatibility.v2.modifiers import renamed_params
  from tests.unit.sagemaker.cli.compatibility.v2.modifiers.ast_converter import ast_call
label_desc: Use image node_id 4 for calling a global function with example usage: test_modify_node() without return types