code: def get_mbpp_plus(err_incomplete=True, mini=False) -> Dict[str, Dict]:
      plus_path = _ready_mbpp_plus_path()
      plus = {task["task_id"]: task for task in stream_jsonl(plus_path)}
      for task_id, task in plus.items():
          task["base_input"] = mbpp_deserialize_inputs(
              task_id, task["base_input"]
          )
          task["plus_input"] = mbpp_deserialize_inputs(
              task_id, task["plus_input"]
          )
  
      if err_incomplete:
          completeness_check("MBPP+", plus)
      return plus
  
file_path: evalplus/evalplus/data/mbpp.py
imports: import hashlib
  import json
  import os
  from typing import Dict
  import wget
  from evalplus.data.utils import CACHE_DIR, completeness_check, get_dataset_metadata, make_cache, stream_jsonl
label_desc: Use image node_id 5 for calling a global function with example usage: get_mbpp_plus(err_incomplete, mini) and returns: plus