code: def clf_transform_error(spfilt, X, labels, n_channels):
      if spfilt is BilinearFilter:
          sf = spfilt(np.eye(n_channels))
      elif spfilt is AJDC:
          sf = spfilt(dim_red={"max_cond": 10})
      else:
          sf = spfilt()
      with pytest.raises(ValueError):
          sf.fit(X, labels).transform(X[:, :-1, :-1])
  
imports: from conftest import get_metrics
  import pytest
  import numpy
  from numpy.testing import assert_array_equal
  from pyriemann.spatialfilters import Xdawn, CSP, SPoC, BilinearFilter, AJDC
label_desc: Use image node_id 5 for calling a global function with example usage: clf_transform_error(spfilt, X, labels, n_channels) without return types