code: def test_padding_transformer():
      """Test the dimensions after padding."""
      # load data
      X_train, y_train = load_basic_motions(
          split="train", return_X_y=True
      )
  
      padding_transformer = PaddingTransformer()
      Xt = padding_transformer.fit_transform(X_train)
  
      # when we tabularize the data it has 6 dimensions
      # and we've padded them to there normal length of 100
      data = from_nested_to_2d_array(Xt)
      assert len(data.columns) == 100 * 6
  
imports: from sktime.datasets import load_basic_motions
  from sktime.datatypes._panel._convert import from_nested_to_2d_array
  from sktime.transformations.panel.padder import PaddingTransformer
label_desc: Use image node_id 1 for calling a global function with example usage: test_padding_transformer() without return types