code: def test_cs_basic_motions():
      """Test channel selection on basic motions dataset."""
      X, y = load_basic_motions(split="train", return_X_y=True)
  
      ecp = ElbowClassPairwise()
  
      ecp.fit(X, y)
  
      # transform the training data
  
      ecp.transform(X, y)
  
      # test shape pf transformed data should be (n_samples, n_channels_selected)
      assert ecp.transform(X, y).shape == (
          X.shape[0],
          len(ecp.channels_selected_),
      )
  
      # test shape of transformed data should be (n_samples, n_channels_selected)
  
      X_test, y_test = load_basic_motions(split="test", return_X_y=True)
  
      assert ecp.transform(X_test).shape == (
          X_test.shape[0],
          len(ecp.channels_selected_),
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_cs_basic_motions() without return types