code: def test_model_kw_error_callbacks():
      """Test kw error."""
      with pytest.raises(ValueError):
          (X, Y, Z) = Bin2d, Bin1d, Bin1d
          mitigator = get_instance(
              torch=True,
              tensorflow=False,
              fake_mixin=False,
              fake_training=True,
              predictor_model=[10, "ReLU"],
              adversary_model=[3, "ReLU"],
              callbacks=[lambda x: x, "bye"],
          )
          mitigator.fit(X, Y, sensitive_features=Z)
  
imports: import sys
  import pytest
  import numpy
  import pandas
  from sklearn.utils import estimator_checks
  from fairlearn.adversarial import AdversarialFairnessClassifier, AdversarialFairnessRegressor
  from fairlearn.adversarial._adversarial_mitigation import _AdversarialFairness
  from fairlearn.adversarial._preprocessor import FloatTransformer
  from fairlearn.adversarial._constants import _TYPE_COMPLIANCE_ERROR
  from .helper import get_instance, generate_data_combinations, cols, Bin2d, Bin1d, Cat, Cont2d, Cont1d, BCE, CCE, MSE, Keyword_CATEGORY, Keyword_BINARY, Keyword_CONTINUOUS, Keyword_CLASSIFICATION, Keyword_AUTO, KeywordToClass
label_desc: Use image node_id 9 for calling a global function with example usage: test_model_kw_error_callbacks() without return types