code: def test_derive_shapelet_distances(X, shapelet, arr_desired):
      """Test that the actual results are the expected ones."""
      arr_actual = _derive_shapelet_distances(X, shapelet, alpha=-100)
      np.testing.assert_allclose(
          arr_actual, arr_desired, atol=1e-5, rtol=0.0
      )
  
imports: import numpy
  import pytest
  import re
  from sklearn.exceptions import ConvergenceWarning
  from pyts.classification.learning_shapelets import CrossEntropyLearningShapelets
  from pyts.classification import LearningShapelets
  from pyts.classification.learning_shapelets import _expit, _xlogy, _softmin, _softmin_grad, _softmax, _derive_shapelet_distances, _derive_all_squared_distances, _reshape_list_shapelets, _reshape_array_shapelets, _loss, _grad_weights, _grad_shapelets
label_desc: Use image node_id 6 for calling a global function with example usage: test_derive_shapelet_distances(X, shapelet, arr_desired) without return types