code: def main():
      parser = argparse.ArgumentParser(
          prog="run_suite.py",
          description="Run a test suite with a model",
      )
      parser.add_argument("model", help="Model path (or HF spec)")
      parser.add_argument("suite", help="Test suite to run")
      parser.add_argument("prompt", help="Prompt to use")
      parser.add_argument(
          "-m", "--model_args", help="Additional model arguments"
      )
      parser.add_argument(
          "-t",
          "--model_type",
          default="hf-causal-experimental",
          help="Model type",
      )
      parser.add_argument("-o", "--output", help="Output file")
      parser.add_argument("-v", "--verbose", action="store_true")
  
      # TODO would it be better to just use a "quick" setting that runs 10
      # iterations? We don't need arbitrary numeric control
      parser.add_argument(
          "-l",
          "--limit",
          type=int,
          help="number of iterations to run (for testing)",
      )
  
      args = parser.parse_args()
  
      margs = f"pretrained={args.model}"
      if args.model_args:
          margs = args.model + "," + args.model_args
  
      run_suite(
          margs,
          args.suite,
          args.prompt,
          model_type=args.model_type,
          output=args.output,
          verbose=args.verbose,
          limit=args.limit,
      )
  
imports: import argparse
  from lm_eval import evaluator
  from lm_eval.prompts import get_prompt_code
  from lm_eval.suites import TaskSpec, load_suite
label_desc: Use image node_id 3 for calling a global function with example usage: main() without return types