[FIX] Outliers: handling memory error

Orange/widgets/data/owoutliers.py

@@ -40,6 +40,7 @@ class OWOutliers(widget.OWWidget):
     class Error(widget.OWWidget.Error):
         singular_cov = Msg("Singular covariance matrix.")
         multiclass_error = Msg("Multiple class data is not supported")
+        memory_error = Msg("Not enough memory")
 
     def __init__(self):
         super().__init__()
@@ -137,6 +138,28 @@ def set_data(self, dataset):
 
         self.commit()
 
+    def _get_outliers(self):
+        try:
+            y_pred = self.detect_outliers()
+        except ValueError:
+            self.Error.singular_cov()
+            self.in_out_info_label.setText(self.in_out_info_default)
+        except MemoryError:
+            self.Error.memory_error()
+            return None, None
+        else:
+            inliers_ind = np.where(y_pred == 1)[0]
+            outliers_ind = np.where(y_pred == -1)[0]
+            inliers = self.new_data[inliers_ind]
+            outliers = self.new_data[outliers_ind]
+            self.in_out_info_label.setText(
+                "{} inliers, {} outliers".format(len(inliers),
+                                                 len(outliers)))
+            self.n_inliers = len(inliers)
+            self.n_outliers = len(outliers)
+
+            return inliers, outliers
+
     def commit(self):
         self.clear_messages()
         inliers = outliers = None
@@ -145,21 +168,7 @@ def commit(self):
             if self.data.Y.ndim > 1:
                 self.Error.multiclass_error()
             else:
-                try:
-                    y_pred = self.detect_outliers()
-                except ValueError:
-                    self.Error.singular_cov()
-                    self.in_out_info_label.setText(self.in_out_info_default)
-                else:
-                    inliers_ind = np.where(y_pred == 1)[0]
-                    outliers_ind = np.where(y_pred == -1)[0]
-                    inliers = self.new_data[inliers_ind]
-                    outliers = self.new_data[outliers_ind]
-                    self.in_out_info_label.setText(
-                        "{} inliers, {} outliers".format(len(inliers),
-                                                         len(outliers)))
-                    self.n_inliers = len(inliers)
-                    self.n_outliers = len(outliers)
+                inliers, outliers = self._get_outliers()
 
         self.send("Inliers", inliers)
         self.send("Outliers", outliers)

Orange/widgets/data/tests/test_owoutliers.py

@@ -1,6 +1,8 @@
 # Test methods with long descriptive names can omit docstrings
 # pylint: disable=missing-docstring
 
+import unittest
+
 import numpy as np
 
 from Orange.data import Table, Domain, ContinuousVariable, DiscreteVariable
@@ -36,3 +38,16 @@ def test_multiclass(self):
         self.assertTrue(self.widget.Error.multiclass_error.is_shown())
         self.send_signal("Data", None)
         self.assertFalse(self.widget.Error.multiclass_error.is_shown())
+
+    def test_memory_error(self):
+        """
+        Handling memory error.
+        GH-2374
+        """
+        data = Table("iris")[::3]
+        self.assertFalse(self.widget.Error.memory_error.is_shown())
+        with unittest.mock.patch(
+            "Orange.widgets.data.owoutliers.OWOutliers.detect_outliers",
+            side_effect=MemoryError):
+            self.send_signal("Data", data)
+            self.assertTrue(self.widget.Error.memory_error.is_shown())