code: def test_slr_one_streamline():
      fname = get_fnames("fornix")
  
      fornix = load_tractogram(
          fname, "same", bbox_valid_check=False
      ).streamlines
  
      f = Streamlines(fornix)
      f1_one = Streamlines([f[0]])
      f2 = f.copy()
      f2._data += np.array([50, 0, 0])
  
      assert_raises(
          ValueError,
          slr_with_qbx,
          f1_one,
          f2,
          verbose=False,
          rm_small_clusters=50,
          greater_than=20,
          less_than=np.inf,
          qbx_thr=[2],
          progressive=True,
      )
  
      assert_raises(
          ValueError,
          slr_with_qbx,
          f2,
          f1_one,
          verbose=False,
          rm_small_clusters=50,
          greater_than=20,
          less_than=np.inf,
          qbx_thr=[2],
          progressive=True,
      )
  
file_path: dipy/dipy/align/tests/test_whole_brain_slr.py
imports: import numpy
  from numpy.testing import assert_equal, assert_array_almost_equal, assert_raises
  from dipy.align.streamlinear import compose_matrix44, decompose_matrix44, transform_streamlines, whole_brain_slr, slr_with_qbx
  from dipy.io.streamline import load_tractogram
  from dipy.data import get_fnames
  from dipy.tracking.streamline import Streamlines
  from dipy.tracking.distances import bundles_distances_mam
label_desc: Use image node_id 2 for calling a global function with example usage: test_slr_one_streamline() without return types