code: def main():
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "--dataset",
          required=True,
          type=str,
          choices=["humaneval", "mbpp"],
      )
      parser.add_argument("--chatgpt_len", required=True, type=int)
      parser.add_argument("--mut_len", required=True, type=int)
      parser.add_argument(
          "--output", type=int, help="Output .jsonl path"
      )
      args = parser.parse_args()
  
      problems = None
      if args.dataset == "humaneval":
          from evalplus.data import get_human_eval_plus
  
          # Allow it to be incomplete
          problems = get_human_eval_plus(err_incomplete=False)
          args.output = args.output or "HumanEvalPlusInputs.jsonl"
  
      if args.dataset == "mbpp":
          from evalplus.data import get_mbpp_plus
  
          problems = get_mbpp_plus(err_incomplete=False)
          args.output = args.output or "MbppPlusInput.jsonl"
  
      assert os.path.isfile(
          args.output
      ), f"{args.output} already exists!"
      input_generation(args, problems)
  
file_path: evalplus/evalplus/inputgen.py
imports: import argparse
  import json
  import os
  from evalplus.data.mbpp import mbpp_serialize_inputs
  from evalplus.gen.chatgpt_gen import ChatGPTGen
  from evalplus.gen.type_mut import TypedMutGen
label_desc: Use image node_id 3 for calling a global function with example usage: main() without return types