code: def test_default_2D():
      """Test with default parameters and 2D input array."""
      X = np.array(
          [
              [-1.207, -0.776, -0.694],
              [0.277, 0.064, -1.448],
              [1.084, 0.959, 0.575],
              [-2.346, -0.11, -1.024],
              [0.429, -0.511, -0.015],
              [0.506, -0.911, -0.936],
              [-0.575, -0.837, 1.102],
              [-0.547, 2.416, -0.476],
              [-0.564, 0.134, -0.709],
              [-0.89, -0.491, -0.501],
              [-0.477, -0.441, -1.629],
              [-0.998, 0.46, -1.168],
              [10.0, 12.0, 10.0],
              [3.0, 7.0, 10.0],
          ]
      )
  
      y_expected = np.array(
          [
              False,
              False,
              False,
              False,
              False,
              False,
              False,
              False,
              False,
              False,
              False,
              False,
              True,
              True,
          ]
      )
  
      scaler = MinMaxScaler()
      X = scaler.fit_transform(X)
      model = STRAY()
      y_actual = model.fit_transform(X)
      assert np.allclose(y_actual, y_expected)
  
file_path: sktime/sktime/annotation/tests/test_stray.py
imports: import numpy
  from sklearn.preprocessing import MinMaxScaler, RobustScaler
  from sktime.annotation.stray import STRAY
label_desc: Use image node_id 2 for calling a global function with example usage: test_default_2D() without return types