code: def dump_humaneval_plus_mini(
      set_cover_info: Dict[str, List[str]], mini_path: str
  ):
      new_problems = []
      for task_id in task_ids:
          otask = problems[task_id]
          task = {
              "task_id": task_id,
              "prompt": otask["prompt"],
              "contract": otask["contract"],
              "canonical_solution": otask["canonical_solution"],
              "entry_point": otask["entry_point"],
              "base_input": otask["base_input"],
              "plus_input": [],
              "atol": otask["atol"],
          }
          for plus_test in set_cover_info[task_id]:
              index = int(plus_test.split("_")[-1])
              task["plus_input"].append(otask["plus_input"][index])
          new_problems.append(deepcopy(task))
      write_jsonl(
          os.path.join(mini_path, "HumanEvalPlus-Mini.jsonl"),
          new_problems,
      )
  
imports: import argparse
  import json
  import os
  import pickle
  from concurrent.futures import ProcessPoolExecutor, as_completed
  from copy import deepcopy
  from typing import Any, Dict, List, Optional, Tuple
  from rich.progress import track
  from evalplus.data import write_jsonl
  from tools.tsr.coverage_init import collect_coverage_info
  from tools.tsr.mutation_init import collect_mutation_info
  from tools.tsr.sample_init import collect_sample_info
  from tools.tsr.utils import get_problems, get_task_ids, to_path
label_desc: Use image node_id 10 for calling a global function with example usage: dump_humaneval_plus_mini(set_cover_info, mini_path) without return types