code: def pred_autocorr_all(pred_dict, n_jobs=-1, **kwargs):
      """
      calculate auto correlation for pred_dict
  
      Parameters
      ----------
      pred_dict : dict
          A dict like {<method_name>:  <prediction>}
      kwargs :
          all these arguments will be passed into pred_autocorr
      """
      ac_dict = {}
      for k, pred in pred_dict.items():
          ac_dict[k] = delayed(pred_autocorr)(pred, **kwargs)
      return complex_parallel(
          Parallel(n_jobs=n_jobs, verbose=10), ac_dict
      )
  
file_path: qlib/qlib/contrib/eva/alpha.py
imports: import pandas
  from typing import Tuple
  from qlib import get_module_logger
  from qlib.utils.paral import complex_parallel, DelayedDict
  from joblib import Parallel, delayed
label_desc: Use image node_id 4 for calling a global function with example usage: pred_autocorr_all(pred_dict, n_jobs) and returns: complex_parallel