code: def test_gridsearch_classification():
      estimator = create_model()
      disparity_moment = DemographicParity()
  
      ptc.run_gridsearch_classification(estimator, disparity_moment)
  
file_path: fairlearn/test_othermlpackages/test_pytorch.py
imports: from fairlearn.adversarial import AdversarialFairnessClassifier
  import pytest
  import numpy
  import pandas
  from skorch import NeuralNetClassifier
  from torch import nn, optim
  from fairlearn.reductions import DemographicParity
  from .None import package_test_common
  from .None import adversarial_fairness
label_desc: Use image node_id 4 for calling a global function with example usage: test_gridsearch_classification() without return types