code: def _initialize(self, X: np.ndarray) -> np.ndarray:
      # TODO initialization strategies ("same", "random", "from_train")
  
      if self.init == "identity":
          X_init = X
          logger.debug("Initializing search at the test point X")
      else:
          raise ValueError('Initialization method should be "identity"')
  
      return X_init
  
imports: import copy
  import logging
  from typing import Callable, Optional, Tuple, Union
  import numpy
  import tensorflow.compat.v1
  from alibi.api.defaults import DEFAULT_DATA_CF, DEFAULT_META_CF
  from alibi.api.interfaces import Explainer, Explanation
  from alibi.utils.gradients import num_grad_batch
label_desc: Use image node_id 2 for calling the Counterfactual obj's underlying member method code with example usage: obj._initialize(X) and returns: X_init