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# Test methods with long descriptive names can omit docstrings
# pylint: disable=missing-docstring,protected-access
import random
import unittest
from unittest.mock import patch, Mock
import numpy as np
import scipy.sparse as sp
from AnyQt.QtCore import Qt, QPointF
from AnyQt.QtGui import QFont
from pyqtgraph import PlotCurveItem
from pyqtgraph.Point import Point
from orangewidget.tests.base import DEFAULT_TIMEOUT
from Orange.data import Table
from Orange.widgets.tests.base import (
WidgetTest, WidgetOutputsTestMixin, datasets
)
from Orange.widgets.visualize.owlineplot import (
OWLinePlot, ccw, intersects, line_intersects_profiles, ProfileGroup
)
class TestProfileGroup(unittest.TestCase):
def test_get_disconnected_curve_missing_data_sizes(self):
y = np.array([[1.2, 1.5, 2., 1.4, 2.],
[1.3, np.nan, 4., 1.5, 3.],
[np.nan, np.nan, 5.6, np.nan, 3.4],
[3.4, 5.7, 3.5, 3.3, 3.7]])
x, y, connect = \
ProfileGroup._ProfileGroup__get_disconnected_curve_missing_data(y)
self.assertEqual(x.shape, (20,))
self.assertEqual(y.shape, (20,))
self.assertEqual(connect.shape, (20,))
def test_get_disconnected_curve_missing_data_connect(self):
y = np.array([[1.2, 1.5, 2., 1.4, 2.],
[1.3, np.nan, 4., 1.5, 3.],
[np.nan, np.nan, 5.6, np.nan, 3.4],
[3.4, 5.7, 3.5, 3.3, 3.7]])
_, _, connect = \
ProfileGroup._ProfileGroup__get_disconnected_curve_missing_data(y)
con = [False] * 6 + [True] + [False] * 6 + [True] + [False] * 6
np.testing.assert_array_equal(connect, con)
y = np.array([[1.2, 1.5, 2., 1.4, 2.],
[np.nan, np.nan, np.nan, np.nan, 3.],
[np.nan, np.nan, np.nan, np.nan, 3.4],
[3.4, 5.7, 3.5, 3.3, 3.7]])
_, _, connect = \
ProfileGroup._ProfileGroup__get_disconnected_curve_missing_data(y)
np.testing.assert_array_equal(connect, [False] * 20)
y = np.array([[np.nan, np.nan, np.nan, np.nan, np.nan],
[np.nan, np.nan, np.nan, np.nan, 3.4],
[np.nan, np.nan, np.nan, np.nan, np.nan],
[3.4, 5.7, 3.5, 3.3, 3.7]])
_, _, connect = \
ProfileGroup._ProfileGroup__get_disconnected_curve_missing_data(y)
con = [True] * 4 + [False] * 6 + [True] * 4 + [False] * 6
np.testing.assert_array_equal(connect, con)
class TestOWLinePLot(WidgetTest, WidgetOutputsTestMixin):
@classmethod
def setUpClass(cls):
super().setUpClass()
WidgetOutputsTestMixin.init(cls)
cls.signal_name = OWLinePlot.Inputs.data
cls.signal_data = cls.data
def setUp(self):
self.widget = self.create_widget(OWLinePlot)
self.titanic = Table("titanic")
self.housing = Table("housing")
def _select_data(self):
random.seed(42)
indices = random.sample(range(0, len(self.data)), 20)
self.widget.selection_changed(indices)
return self.widget.selection
def test_input_data(self):
self.send_signal(self.widget.Inputs.data, self.data)
self.assertEqual(self.widget.group_view.model().rowCount(), 2)
self.send_signal(self.widget.Inputs.data, None)
self.assertEqual(self.widget.group_view.model().rowCount(), 1)
def test_input_continuous_class(self):
self.send_signal(self.widget.Inputs.data, self.housing)
self.assertEqual(self.widget.group_view.model().rowCount(), 1)
def test_input_discrete_features(self):
self.send_signal(self.widget.Inputs.data, self.titanic)
self.assertEqual(self.widget.group_view.model().rowCount(), 1)
self.assertTrue(self.widget.Error.not_enough_attrs.is_shown())
self.send_signal(self.widget.Inputs.data, None)
self.assertFalse(self.widget.Error.not_enough_attrs.is_shown())
def test_input_subset_data(self):
self.send_signal(self.widget.Inputs.data, self.data[:70])
self.send_signal(self.widget.Inputs.data_subset, self.data[::10])
self.assertEqual(len(self.widget.subset_indices), 7)
self.widget.controls.show_profiles.click()
self.widget.selection_changed(range(20))
self.assertEqual(len(self.widget.selection), 20)
self.send_signal(self.widget.Inputs.data, None)
self.assertIsNone(self.widget.selection)
def test_select(self):
self.send_signal(self.widget.Inputs.data, self.data)
self.assertIsNone(self.get_output(self.widget.Outputs.selected_data))
# Select 0:5
sel_indices = list(range(5))
self.widget.selection_changed(sel_indices)
selected = self.get_output(self.widget.Outputs.selected_data)
np.testing.assert_array_equal(selected.X, self.data[sel_indices].X)
# Shift-select 10:15 (add 10:15 to selection)
indices = list(range(10, 15))
sel_indices.extend(indices)
with self.modifiers(Qt.ShiftModifier):
self.widget.selection_changed(indices)
selected = self.get_output(self.widget.Outputs.selected_data)
np.testing.assert_array_equal(selected.X, self.data[sel_indices].X)
# Select 15:20
sel_indices = list(range(15, 20))
self.widget.selection_changed(sel_indices)
selected = self.get_output(self.widget.Outputs.selected_data)
np.testing.assert_array_equal(selected.X, self.data[sel_indices].X)
# Control-select 10:17 (add 10:15, remove 15:17)
indices = list(range(10, 17))
sel_indices.extend(indices[:5])
sel_indices.remove(15)
sel_indices.remove(16)
sel_indices = sorted(sel_indices)
with self.modifiers(Qt.ControlModifier):
self.widget.selection_changed(indices)
selected = self.get_output(self.widget.Outputs.selected_data)
np.testing.assert_array_equal(selected.X, self.data[sel_indices].X)
# Alt-select 15:30 (remove 17:20)
indices = list(range(15, 30))
sel_indices.remove(17)
sel_indices.remove(18)
sel_indices.remove(19)
sel_indices = sorted(sel_indices)
with self.modifiers(Qt.AltModifier):
self.widget.selection_changed(indices)
selected = self.get_output(self.widget.Outputs.selected_data)
np.testing.assert_array_equal(selected.X, self.data[sel_indices].X)
def test_saved_selection(self):
data = self.data.copy()
with data.unlocked():
data[0, 0] = np.nan
self.send_signal(self.widget.Inputs.data, data)
mask = np.zeros(len(data), dtype=bool)
mask[::10] = True
self.widget.selection_changed(mask)
settings = self.widget.settingsHandler.pack_data(self.widget)
w = self.create_widget(OWLinePlot, stored_settings=settings)
self.send_signal(w.Inputs.data, data, widget=w)
self.assertEqual(len(w.graph.selection), np.sum(mask))
np.testing.assert_equal(self.widget.graph.selection, w.graph.selection)
output = self.get_output(w.Outputs.selected_data, widget=w)
self.assertIsNotNone(output)
self.send_signal(w.Inputs.data, data, widget=w)
self.assertEqual(len(w.graph.selection), 0)
self.assertIsNone(self.get_output(w.Outputs.selected_data, widget=w))
def test_selection_line(self):
event = Mock()
event.button.return_value = Qt.LeftButton
event.buttonDownPos.return_value = Point(0, 0)
event.pos.return_value = Point(1, 1)
event.isFinish.return_value = True
# drag a line before data is sent
self.widget.graph.view_box.mouseDragEvent(event)
self.assertIsNone(self.widget.selection)
# drag a line after data is sent
self.send_signal(self.widget.Inputs.data, self.data)
# set view-dependent click coordinates
pos_down, pos_up = QPointF(2.38, 4.84), QPointF(3.58, 4.76)
mapToParent = self.widget.graph.view_box.childGroup.mapToParent
event.buttonDownPos.return_value = mapToParent(pos_down)
event.pos.return_value = mapToParent(pos_up)
self.widget.graph.view_box.mouseDragEvent(event)
line = self.widget.graph.view_box.selection_line
self.assertFalse(line.line().isNull())
# click on the plot resets selection
self.assertEqual(len(self.widget.selection), 55)
self.widget.graph.view_box.mouseClickEvent(event)
self.assertListEqual(self.widget.selection, [])
@patch("Orange.widgets.visualize.owlineplot.SEL_MAX_INSTANCES", 100)
def test_select_lines_enabled(self):
self.send_signal(self.widget.Inputs.data, self.data[::2])
self.assertTrue(self.widget.graph.view_box._can_select)
self.send_signal(self.widget.Inputs.data, self.data)
self.assertFalse(self.widget.graph.view_box._can_select)
self.send_signal(self.widget.Inputs.data, None)
self.assertTrue(self.widget.graph.view_box._can_select)
@patch("Orange.widgets.visualize.owlineplot.MAX_FEATURES", 2)
def test_max_features(self):
self.send_signal(self.widget.Inputs.data, self.data)
self.assertEqual(len(self.widget.graph_variables), 2)
self.assertTrue(self.widget.Information.too_many_features.is_shown())
self.send_signal(self.widget.Inputs.data, None)
self.assertFalse(self.widget.Information.too_many_features.is_shown())
def test_data_with_missing_values(self):
data = self.data.copy()
with data.unlocked():
data[0, 0] = np.nan
self.send_signal(self.widget.Inputs.data, data)
def test_display_options(self):
self.send_signal(self.widget.Inputs.data, self.data[::10])
# Plot lines, range, mean and error bars
self.widget.controls.show_profiles.click()
self.widget.controls.show_error.click()
# Plot range, mean and error bars
self.widget.controls.show_profiles.click()
# Plot mean and error bars
self.widget.controls.show_range.click()
# Only show error bars is selected
self.widget.controls.show_mean.click()
self.assertTrue(self.widget.Warning.no_display_option.is_shown())
self.send_signal(self.widget.Inputs.data, None)
self.assertFalse(self.widget.Warning.no_display_option.is_shown())
def test_group_view(self):
self.send_signal(self.widget.Inputs.data, self.data)
model = self.widget.group_view.model()
self.assertEqual(len(model), 2)
index = self.widget.group_view.selectedIndexes()[0]
self.assertEqual(model.data(index), self.data.domain.class_var.name)
self.send_signal(self.widget.Inputs.data, self.housing)
index = self.widget.group_view.selectedIndexes()[0]
self.assertEqual(model.data(index), "None")
def test_group_var_none(self):
self.send_signal(self.widget.Inputs.data, self.data)
index = self.widget.group_view.model().index(0)
self.widget.group_view.setCurrentIndex(index)
m, n, p = self.widget.graph.view_box._profile_items.shape
self.assertEqual(m, len(self.data.domain.attributes))
self.assertEqual(n, len(self.data))
self.assertEqual(p, 2)
self.assertFalse(self.widget.graph.legend.isVisible())
def test_group_var_none_single_instance(self):
self.send_signal(self.widget.Inputs.data, self.housing[:1])
m, n, p = self.widget.graph.view_box._profile_items.shape
self.assertEqual(m, len(self.housing.domain.attributes))
self.assertEqual(n, 1)
self.assertEqual(p, 2)
self.assertFalse(self.widget.graph.legend.isVisible())
def test_datasets(self):
for ds in datasets.datasets():
self.send_signal(self.widget.Inputs.data, ds)
self.send_signal(self.widget.Inputs.data, None)
def test_none_data(self):
self.send_signal(self.widget.Inputs.data, self.data[:0])
self.widget.controls.show_profiles.click()
def test_plot_subset(self):
settings = self.widget.settingsHandler.pack_data(self.widget)
settings["show_range"] = False
w = self.create_widget(OWLinePlot, stored_settings=settings)
w.graph.addItem = Mock()
self.send_signal(w.Inputs.data, self.data, widget=w)
w.graph.addItem.assert_called()
w.graph.addItem.reset_mock()
# don't show subset instances
self.send_signal(w.Inputs.data_subset, self.data[::10], widget=w)
w.graph.addItem.assert_not_called()
# show subset instances
w.controls.show_profiles.setChecked(True)
w.graph.addItem.assert_called()
def test_plot_only_mean(self):
settings = self.widget.settingsHandler.pack_data(self.widget)
settings["show_range"] = False
w = self.create_widget(OWLinePlot, stored_settings=settings)
self.send_signal(w.Inputs.data, self.data, widget=w)
curves = [i for i in w.graph.items() if isinstance(i, PlotCurveItem)]
self.assertEqual(len(curves), 3)
def test_sparse_data(self):
table = Table("iris").to_sparse()
self.assertTrue(sp.issparse(table.X))
self.send_signal(self.widget.Inputs.data, table)
self.send_signal(self.widget.Inputs.data_subset, table[::30])
self.assertEqual(len(self.widget.subset_indices), 5)
def test_send_report(self):
self.send_signal(self.widget.Inputs.data, self.data)
self.widget.report_button.click()
self.send_signal(self.widget.Inputs.data, None)
self.widget.report_button.click()
def test_unconditional_commit_on_new_signal(self):
with patch.object(self.widget.commit, 'now') as commit:
self.widget.auto_commit = False
commit.reset_mock()
self.send_signal(self.widget.Inputs.data, self.titanic)
commit.assert_called()
@WidgetTest.skipNonEnglish
def test_visual_settings(self, timeout=DEFAULT_TIMEOUT):
graph = self.widget.graph
font = QFont()
font.setItalic(True)
font.setFamily("Helvetica")
self.send_signal(self.widget.Inputs.data, self.data)
self.wait_until_finished(timeout=timeout)
key, value = ("Fonts", "Font family", "Font family"), "Helvetica"
self.widget.set_visual_settings(key, value)
key, value = ("Fonts", "Title", "Font size"), 20
self.widget.set_visual_settings(key, value)
key, value = ("Fonts", "Title", "Italic"), True
self.widget.set_visual_settings(key, value)
font.setPointSize(20)
self.assertFontEqual(graph.parameter_setter.title_item.item.font(), font)
key, value = ("Fonts", "Axis title", "Font size"), 14
self.widget.set_visual_settings(key, value)
key, value = ("Fonts", "Axis title", "Italic"), True
self.widget.set_visual_settings(key, value)
font.setPointSize(14)
for ax in ["bottom", "left"]:
axis = graph.parameter_setter.getAxis(ax)
self.assertFontEqual(axis.label.font(), font)
key, value = ('Fonts', 'Axis ticks', 'Font size'), 15
self.widget.set_visual_settings(key, value)
key, value = ('Fonts', 'Axis ticks', 'Italic'), True
self.widget.set_visual_settings(key, value)
font.setPointSize(15)
for ax in ["bottom", "left"]:
axis = graph.parameter_setter.getAxis(ax)
self.assertFontEqual(axis.style["tickFont"], font)
key, value = ("Fonts", "Legend", "Font size"), 16
self.widget.set_visual_settings(key, value)
key, value = ("Fonts", "Legend", "Italic"), True
self.widget.set_visual_settings(key, value)
font.setPointSize(16)
legend_item = list(graph.parameter_setter.legend_items)[0]
self.assertFontEqual(legend_item[1].item.font(), font)
key, value = ("Annotations", "Title", "Title"), "Foo"
self.widget.set_visual_settings(key, value)
self.assertEqual(graph.parameter_setter.title_item.item.toPlainText(), "Foo")
self.assertEqual(graph.parameter_setter.title_item.text, "Foo")
key, value = ("Annotations", "x-axis title", "Title"), "Foo2"
self.widget.set_visual_settings(key, value)
axis = graph.parameter_setter.getAxis("bottom")
self.assertEqual(axis.label.toPlainText().strip(), "Foo2")
self.assertEqual(axis.labelText, "Foo2")
key, value = ("Annotations", "y-axis title", "Title"), "Foo3"
self.widget.set_visual_settings(key, value)
axis = graph.parameter_setter.getAxis("left")
self.assertEqual(axis.label.toPlainText().strip(), "Foo3")
self.assertEqual(axis.labelText, "Foo3")
key, value = ("Figure", "Lines (missing value)", "Width"), 10
self.widget.set_visual_settings(key, value)
for line in graph.parameter_setter.missing_lines_items:
self.assertEqual(line.opts["pen"].width(), 10)
key, value = ("Figure", "Selected lines (missing value)", "Width"), 11
self.widget.set_visual_settings(key, value)
for line in graph.parameter_setter.sel_missing_lines_items:
self.assertEqual(line.opts["pen"].width(), 11)
def assertFontEqual(self, font1, font2):
self.assertEqual(font1.family(), font2.family())
self.assertEqual(font1.pointSize(), font2.pointSize())
self.assertEqual(font1.italic(), font2.italic())
class TestSegmentsIntersection(unittest.TestCase):
def test_ccw(self):
a = np.array([[4, 1], [1, 1]])
b = np.array([[3, 2], [2, 2]])
c = np.array([[2, 1], [3, 3]])
np.testing.assert_array_equal(np.array([True, False]), ccw(a, b, c))
def test_intersects(self):
a = np.array([1, 0])
b = np.array([2, -1])
c = np.array([[2, -2], [1, -1], [0, 0], [1, -0.01]])
d = np.array([[4, 0], [2, 0], [-1, -1], [2, 0]])
np.testing.assert_array_equal(np.array([False, True, False, True]),
intersects(a, b, c, d))
def test_lines_intersection(self):
a = np.array([1, 0])
b = np.array([2, -1])
# create data with four instances and three features
x = np.array([[2, 4, 4], [1, 2, 2], [0, -1, 2], [1, 2, 2]])
y = np.array([[-2, 0, 1], [-1, 0, 1], [0, -1, 0], [-0.01, 0, 3]])
table = np.array([np.vstack((x[:, i], y[:, i])).T
for i in range(y.shape[1])])
i = line_intersects_profiles(a, b, table)
np.testing.assert_array_equal(np.array([False, True, True, True]), i)
if __name__ == "__main__":
unittest.main()
|
