code: def clf_transform(classif, covmats, labels):
      n_matrices = len(labels)
      n_classes = len(np.unique(labels))
      clf = classif()
      clf.fit(covmats, labels)
      transformed = clf.transform(covmats)
      assert transformed.shape == (n_matrices, n_classes)
  
imports: import pickle
  import numpy
  from numpy.testing import assert_array_equal
  import pytest
  from pytest import approx
  from scipy.stats import mode
  from sklearn.dummy import DummyClassifier
  from conftest import get_distances, get_means, get_metrics
  from pyriemann.estimation import Covariances
  from pyriemann.utils.kernel import kernel
  from pyriemann.utils.mean import mean_covariance
  from pyriemann.classification import _mode_2d, MDM, FgMDM, KNearestNeighbor, TSclassifier, SVC, MeanField, class_distinctiveness
label_desc: Use image node_id 7 for calling a global function with example usage: clf_transform(classif, covmats, labels) without return types