code: def split(self, indices):
      if self.n_splits > 1:
          return self.k_fold.split(indices)
      else:
          return [(indices, indices)]
  
imports: import datetime
  import os
  import pickle
  import mxnet
  import numpy
  import sklearn
  import torch
  from mxnet import ndarray
  from scipy import interpolate
  from sklearn.decomposition import PCA
  from sklearn.model_selection import KFold
label_desc: Use image node_id 2 for calling the LFold obj's underlying member method code with example usage: obj.split(indices) and returns: self, list