code: def mock_kernel_shap_explainer(request):
      """
      Instantiates a KernelShap explainer with a mock predictor.
      """
  
      pred_out_dim, link, distributed_opts = request.param
      predictor = MockPredictor(out_dim=pred_out_dim, seed=0)
      explainer = KernelShap(
          predictor=predictor,
          link=link,
          distributed_opts=distributed_opts,
          seed=0,
      )
  
      return explainer
  
imports: import pytest
  import logging
  import shap
  import spacy
  import numpy
  from sklearn.linear_model import LogisticRegression, LinearRegression
  from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor
  from alibi.explainers import ALE
  from alibi.explainers import AnchorTabular
  from alibi.explainers import KernelShap, TreeShap
  from alibi.explainers.tests.utils import predict_fcn, MockTreeExplainer
  from alibi.tests.utils import MockPredictor
  from alibi.utils.lang_model import BertBaseUncased, DistilbertBaseUncased, RobertaBase
  from alibi.utils.download import spacy_model
  import tensorflow
  import alibi_testing
  from alibi_testing.data import get_adult_data, get_iris_data, get_diabetes_data, get_mnist_data, get_movie_sentiment_data
label_desc: Use image node_id 14 for calling a global function with example usage: mock_kernel_shap_explainer(request) and returns: explainer