code: def get_mutation_set_cover(
      mutation_dir: str, exclude_model: str, dataset: str
  ) -> Dict[str, List[str]]:
      mutation_info_dict = collect_mutation_info(
          os.path.join(mutation_dir, "eval_results.json"), dataset
      )
      return parallel_greedy_cover(
          mutation_info_dict, exclude_model, "mutation"
      )
  
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 6 for calling a global function with example usage: get_mutation_set_cover(mutation_dir, exclude_model, dataset) and returns: parallel_greedy_cover