code: def main(flags):
      coverage_dir = os.path.join(flags.report_dir, "coverage_cache")
      mutation_dir = os.path.join(flags.report_dir, "mutation_cache")
      sample_dir = os.path.join(flags.report_dir, "sample_cache")
      os.makedirs(flags.report_dir, exist_ok=True)
  
      exclude_model: str = flags.model
      if exclude_model.endswith(
          "b"
      ):  # format: model_name + parameter size
          exclude_model = "".join(exclude_model.split("-")[:-1])
  
      coverage_set_cover = get_coverage_set_cover(
          coverage_dir, exclude_model, flags.dataset
      )
      mutation_set_cover = get_mutation_set_cover(
          mutation_dir, exclude_model, flags.dataset
      )
      sample_set_cover = get_sample_set_cover(
          sample_dir,
          flags.sample_eval_dir,
          exclude_model,
          flags.dataset,
      )
      merged_set_cover = merge_set_cover(
          coverage_set_cover, mutation_set_cover, sample_set_cover
      )
  
      if flags.model != "ALL":
          final_report = dict()
          # Stage 1: Coverage min set cover
          final_report["coverage"] = gen_report(
              coverage_set_cover, flags.sample_eval_dir, flags.model
          )
          # Stage 2: Mutation min set cover
          final_report["mutation"] = gen_report(
              mutation_set_cover, flags.sample_eval_dir, flags.model
          )
          # Stage 3: Sampling min set cover
          final_report["sample"] = gen_report(
              sample_set_cover, flags.sample_eval_dir, flags.model
          )
          # Stage 4: All
          final_report["full"] = gen_report(
              merged_set_cover, flags.sample_eval_dir, flags.model
          )
          with open(
              os.path.join(
                  flags.report_dir, f"report_{flags.model}.json"
              ),
              "w",
          ) as f:
              json.dump(final_report, f, indent=4)
      else:
          dump_humaneval_plus_mini(merged_set_cover, flags.mini_path)
  
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 11 for calling a global function with example usage: main(flags) without return types