code: def generate_pipeline_code(pipeline_tree, operators):
      """Generate code specific to the construction of the sklearn Pipeline.
  
      Parameters
      ----------
      pipeline_tree: list
          List of operators in the current optimized pipeline
  
      Returns
      -------
      Source code for the sklearn pipeline
  
      """
      steps = _process_operator(pipeline_tree, operators)
      pipeline_text = "make_pipeline(\n{STEPS}\n)".format(
          STEPS=_indent(",\n".join(steps), 4)
      )
      return pipeline_text
  
file_path: tpot/tpot/export_utils.py
imports: import deap
label_desc: Use image node_id 7 for calling a global function with example usage: generate_pipeline_code(pipeline_tree, operators) and returns: pipeline_text