def test_attr_label_matrix_and_data(self):
w = self.widget
# Don't run the MDS optimization to save time and to prevent the
# widget be in a blocking state when trying to send the next signal
w.start = Mock()
# Data and matrix
data = Table("zoo")
dist = Euclidean(data)
self.send_signal(w.Inputs.distances, dist)
self.send_signal(w.Inputs.data, data)
self.assertTrue(set(chain(data.domain.variables, data.domain.metas))
< set(w.label_model))
# Has data, but receives a signal without data: has to keep the label
dist.row_items = None
self.send_signal(w.Inputs.distances, dist)
self.assertTrue(set(chain(data.domain.variables, data.domain.metas))
< set(w.label_model))
# Has matrix without data, and loses the data: remove the label
self.send_signal(w.Inputs.data, None)
self.assertEqual(list(w.label_model), [None])
# Has matrix without data, receives data: add attrs to combo, select
self.send_signal(w.Inputs.data, data)
self.assertTrue(set(chain(data.domain.variables, data.domain.metas))
< set(w.label_model))
def test_attr_label_matrix_and_data(self):
w = self.widget
# Don't run the MDS optimization to save time and to prevent the
# widget be in a blocking state when trying to send the next signal
w.start = Mock()
# Data and matrix
data = Table("zoo")
dist = Euclidean(data)
self.send_signal(w.Inputs.distances, dist)
self.send_signal(w.Inputs.data, data)
self.assertTrue(
set(chain(data.domain.variables, data.domain.metas)) < set(
w.label_model))
# Has data, but receives a signal without data: has to keep the label
dist.row_items = None
self.send_signal(w.Inputs.distances, dist)
self.assertTrue(
set(chain(data.domain.variables, data.domain.metas)) < set(
w.label_model))
# Has matrix without data, and loses the data: remove the label
self.send_signal(w.Inputs.data, None)
self.assertEqual(list(w.label_model), [None])
# Has matrix without data, receives data: add attrs to combo, select
self.send_signal(w.Inputs.data, data)
self.assertTrue(
set(chain(data.domain.variables, data.domain.metas)) < set(
w.label_model))
def test_distances_without_data_1(self):
"""
Only distances and no data.
GH-2335
"""
signal_data = Euclidean(self.data, axis=1)
signal_data.row_items = None
self.send_signal("Distances", signal_data)
def test_set_distances(self):
assert isinstance(self.widget, OWDistanceMatrix)
iris = Table("iris")[:5]
distances = Euclidean(iris)
# Distances with row data
self.widget.set_distances(distances)
self.assertIn(iris.domain[0], self.widget.annot_combo.model())
# Distances without row data
distances.row_items = None
self.widget.set_distances(distances)
self.assertNotIn(iris.domain[0], self.widget.annot_combo.model())
def test_set_distances(self):
assert isinstance(self.widget, OWDistanceMatrix)
iris = Table("iris")[:5]
distances = Euclidean(iris)
# Distances with row data
self.widget.set_distances(distances)
self.assertIn(iris.domain[0], self.widget.annot_combo.model())
# Distances without row data
distances.row_items = None
self.widget.set_distances(distances)
self.assertNotIn(iris.domain[0], self.widget.annot_combo.model())