code: def test_tlclassifiers(rndstate, clf, source_domain, target_domain):
      """Test wrapper for classifiers in transfer learning"""
      n_classes, n_matrices = 2, 40
      X, y_enc = make_classification_transfer(
          n_matrices=n_matrices // 4,
          class_sep=5,
          class_disp=1.0,
          random_state=rndstate,
      )
  
      if hasattr(clf, "probability"):
          clf.set_params(**{"probability": True})
      tlclf = TLClassifier(target_domain="target_domain", estimator=clf)
      tlclf.domain_weight = {
          "source_domain": source_domain,
          "target_domain": target_domain,
      }
      tlclf.fit(X, y_enc)
  
      # test fit
      assert_array_equal(tlclf.estimator.classes_, ["1", "2"])
  
      # test predict
      predicted = tlclf.predict(X)
      assert predicted.shape == (n_matrices,)
  
      # test predict_proba
      probabilities = tlclf.predict_proba(X)
      assert probabilities.shape == (n_matrices, n_classes)
      assert probabilities.sum(axis=1) == approx(np.ones(n_matrices))
  
      # test score
      tlclf.score(X, y_enc)
  
imports: import pytest
  from pytest import approx
  import numpy
  from numpy.testing import assert_array_equal
  from sklearn.model_selection import KFold, StratifiedShuffleSplit
  from sklearn.pipeline import make_pipeline, Pipeline
  from pyriemann.datasets.simulated import make_classification_transfer, make_matrices
  from pyriemann.classification import MDM, FgMDM, KNearestNeighbor, TSclassifier, SVC, MeanField
  from pyriemann.regression import KNearestNeighborRegressor, SVR
  from pyriemann.transfer import decode_domains, encode_domains, TLCenter, TLStretch, TLRotate, TLSplitter, TLClassifier, TLRegressor, MDWM
  from pyriemann.utils.distance import distance, distance_riemann
  from pyriemann.utils.mean import mean_covariance, mean_riemann
  from pyriemann.utils.utils import check_weights
label_desc: Use image node_id 7 for calling a global function with example usage: test_tlclassifiers(rndstate, clf, source_domain, target_domain) without return types