code: def test_padding_fill_value_transformer():
      """Test full fill padding."""
      # load data
      X_train, y_train = load_basic_motions(
          split="train", return_X_y=True
      )
  
      padding_transformer = PaddingTransformer(
          pad_length=120, fill_value=1
      )
      Xt = padding_transformer.fit_transform(X_train)
  
      # when we tabularize the data it has 6 dimensions
      # and we've padded them all to 120 long.
      data = from_nested_to_2d_array(Xt)
      assert len(data.columns) == 120 * 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 3 for calling a global function with example usage: test_padding_fill_value_transformer() without return types