code: def replace_task_handler_with_cache(
      task: dict, cache_dir: Union[str, Path] = "."
  ) -> dict:
      """
      Replace the handler in task with a cache handler.
      It will automatically cache the file and save it in cache_dir.
  
      >>> import qlib
      >>> qlib.auto_init()
      >>> import datetime
      >>> # it is simplified task
      >>> task = {"dataset": {"kwargs":{'handler': {'class': 'Alpha158', 'module_path': 'qlib.contrib.data.handler', 'kwargs': {'start_time': datetime.date(2008, 1, 1), 'end_time': datetime.date(2020, 8, 1), 'fit_start_time': datetime.date(2008, 1, 1), 'fit_end_time': datetime.date(2014, 12, 31), 'instruments': 'CSI300'}}}}}
      >>> new_task = replace_task_handler_with_cache(task)
      >>> print(new_task)
      {'dataset': {'kwargs': {'handler': 'file...Alpha158.3584f5f8b4.pkl'}}}
  
      """
      cache_dir = Path(cache_dir)
      task = deepcopy(task)
      handler = task["dataset"]["kwargs"]["handler"]
      if isinstance(handler, dict):
          hash = hash_args(handler)
          h_path = cache_dir / f"{handler['class']}.{hash[:10]}.pkl"
          if not h_path.exists():
              h = init_instance_by_config(handler)
              h.to_pickle(h_path, dump_all=True)
          task["dataset"]["kwargs"]["handler"] = f"file://{h_path}"
      return task
  
imports: import bisect
  from copy import deepcopy
  import pandas
  from qlib.data import D
  from qlib.utils import hash_args
  from qlib.utils.mod import init_instance_by_config
  from qlib.workflow import R
  from qlib.config import C
  from qlib.log import get_module_logger
  from pymongo import MongoClient
  from pymongo.database import Database
  from typing import Union
  from pathlib import Path
label_desc: Use image node_id 3 for calling a global function with example usage: replace_task_handler_with_cache(task, cache_dir) and returns: task