code: def test_svc_params_error(get_mats, get_labels):
      n_matrices, n_channels, n_classes = 6, 3, 2
      covmats = get_mats(n_matrices, n_channels, "spd")
      labels = get_labels(n_matrices, n_classes)
  
      with pytest.raises(TypeError):
          SVC(C="hello").fit(covmats, labels)
  
      with pytest.raises(TypeError):
          SVC(foo=5)
  
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 22 for calling a global function with example usage: test_svc_params_error(get_mats, get_labels) without return types