text: # Test methods with long descriptive names can omit docstrings
  # pylint: disable=missing-docstring
  from unittest.mock import Mock
  
  import numpy as np
  
  from Orange.data import Table
  from Orange.widgets.unsupervised.owdistances import OWDistances, METRICS
  from Orange.widgets.tests.base import WidgetTest
  
  
  class TestOWDistances(WidgetTest):
      @classmethod
      def setUpClass(cls):
          super().setUpClass()
          cls.iris = Table("iris")[::5]
          cls.titanic = Table("titanic")[::10]
  
      def setUp(self):
          self.widget = self.create_widget(OWDistances)
  
      def test_distance_combo(self):
          """Check distances when the metric changes"""
          self.assertEqual(self.widget.metrics_combo.count(), len(METRICS))
          self.send_signal(self.widget.Inputs.data, self.iris)
          for i, (_, metric) in enumerate(METRICS):
              self.widget.metrics_combo.activated.emit(i)
              self.widget.metrics_combo.setCurrentIndex(i)
              self.send_signal(self.widget.Inputs.data, self.iris)
              if metric.supports_normalization:
                  expected = metric(self.iris, normalize=self.widget.normalized_dist)
              else:
                  expected = metric(self.iris)
  
              np.testing.assert_array_equal(
                  expected, self.get_output(self.widget.Outputs.distances)
              )
  
      def test_error_message(self):
          """Check if error message appears and then disappears when
          data is removed from input"""
          self.widget.metric_idx = 2
          self.send_signal(self.widget.Inputs.data, self.iris)
          self.assertFalse(self.widget.Error.no_continuous_features.is_shown())
          self.send_signal(self.widget.Inputs.data, self.titanic)
          self.assertTrue(self.widget.Error.no_continuous_features.is_shown())
          self.send_signal(self.widget.Inputs.data, None)
          self.assertFalse(self.widget.Error.no_continuous_features.is_shown())
  
      def test_too_big_array(self):
          """
          Users sees an error message when calculating too large arrays and Orange
          does not crash.
          GH-2315
          """
          self.assertEqual(len(self.widget.Error.active), 0)
          self.send_signal(self.widget.Inputs.data, self.iris)
  
          mock = Mock(side_effect=ValueError)
          self.widget.compute_distances(mock, self.iris)
          self.assertTrue(self.widget.Error.distances_value_error.is_shown())
  
          mock = Mock(side_effect=MemoryError)
          self.widget.compute_distances(mock, self.iris)
          self.assertEqual(len(self.widget.Error.active), 1)
          self.assertTrue(self.widget.Error.distances_memory_error.is_shown())
  
      def test_migrates_normalized_dist(self):
          w = self.create_widget(OWDistances, stored_settings={"metric_idx": 0})
          self.assertFalse(w.normalized_dist)
  