code: def normalize_KFold(x):
      # Doesn't matter if shuffle is False
      rs = normalize_random_state(x.random_state) if x.shuffle else None
      return (type(x).__name__, x.n_splits, x.shuffle, rs)
  
file_path: dask-ml/dask_ml/model_selection/_normalize.py
imports: from __future__ import absolute_import, division, print_function
  import warnings
  import numpy
  import sklearn.exceptions
  from dask.base import normalize_token
  from sklearn.base import BaseEstimator
  from sklearn.model_selection._split import BaseShuffleSplit, LeaveOneGroupOut, LeaveOneOut, LeavePGroupsOut, LeavePOut, PredefinedSplit, _BaseKFold, _CVIterableWrapper
label_desc: Use image node_id 3 for calling a global function with example usage: normalize_KFold(x) and returns: type,  x,  x,  rs