code: def init_cd_ksdrift(
      state_dict: Dict,
      model: Optional[Union[tf.keras.Model, tf.keras.Sequential]],
      emb: Optional[TransformerEmbedding],
      tokenizer: Optional[Callable],
      **kwargs,
  ) -> KSDrift:
      """
      Initialize KSDrift detector.
  
      Parameters
      ----------
      state_dict
          Dictionary containing the parameter values.
      model
          Optional preprocessing model.
      emb
          Optional text embedding model.
      tokenizer
          Optional tokenizer for text drift.
      kwargs
          Kwargs optionally containing preprocess_fn and preprocess_kwargs.
  
      Returns
      -------
      Initialized KSDrift instance.
      """
      preprocess_fn, preprocess_kwargs = init_preprocess(
          state_dict["other"], model, emb, tokenizer, **kwargs
      )
      if callable(preprocess_fn) and isinstance(
          preprocess_kwargs, dict
      ):
          state_dict["kwargs"].update(
              {
                  "preprocess_fn": partial(
                      preprocess_fn, **preprocess_kwargs
                  )
              }
          )
      cd = KSDrift(
          *list(state_dict["args"].values()), **state_dict["kwargs"]
      )
      attrs = state_dict["other"]
      cd.n = attrs["n"]
      return cd
  
imports: import logging
  import os
  from importlib import import_module
  import warnings
  from functools import partial
  from pathlib import Path
  from typing import Callable, Dict, List, Optional, Tuple, Union, Type
  import dill
  import tensorflow
  from tensorflow_probability.python.distributions.distribution import Distribution
  from transformers import AutoTokenizer
  from alibi_detect.ad import AdversarialAE, ModelDistillation
  from alibi_detect.ad.adversarialae import DenseHidden
  from alibi_detect.cd import ChiSquareDrift, ClassifierDrift, KSDrift, MMDDrift, TabularDrift
  from alibi_detect.cd.tensorflow import UAE, HiddenOutput
  from alibi_detect.cd.tensorflow.preprocess import _Encoder
  from alibi_detect.models.tensorflow import PixelCNN, TransformerEmbedding
  from alibi_detect.models.tensorflow.autoencoder import AE, AEGMM, VAE, VAEGMM, DecoderLSTM, EncoderLSTM, Seq2Seq
  from alibi_detect.od import LLR, IForest, Mahalanobis, OutlierAE, OutlierAEGMM, OutlierProphet, OutlierSeq2Seq, OutlierVAE, OutlierVAEGMM, SpectralResidual
  from alibi_detect.od.llr import build_model
  from alibi_detect.utils.tensorflow.kernels import DeepKernel
  from alibi_detect.utils.frameworks import Framework
  from alibi_detect.version import __version__
  from alibi_detect.base import Detector
  from alibi_detect.saving._typing import VALID_DETECTORS
label_desc: Use image node_id 26 for calling a global function with example usage: init_cd_ksdrift(state_dict, model, emb, tokenizer) and returns: cd