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Orange/widgets/classify/tests/test_owknnclassification.py
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# Test methods with long descriptive names can omit docstrings | ||
# pylint: disable=missing-docstring | ||
from PyQt4 import QtGui | ||
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from Orange.widgets.tests.base import WidgetTest | ||
from Orange.widgets.classify.owknn import OWKNNLearner | ||
from Orange.widgets.tests.base import (WidgetTest, WidgetLearnerTestMixin, | ||
GuiToParam) | ||
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class TestOwKnnClassification(WidgetTest): | ||
class TestOWKNN(WidgetTest, WidgetLearnerTestMixin): | ||
def setUp(self): | ||
self.widget = self.create_widget(OWKNNLearner) | ||
self.combo_box = self.widget.findChildren(QtGui.QComboBox) | ||
self.spinner = self.widget.findChildren(QtGui.QSpinBox) | ||
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def test_boxes_visible(self): | ||
""" Check if all boxes visible """ | ||
self.assertEqual(self.combo_box[0].isHidden(), False) | ||
self.assertEqual(self.combo_box[1].isHidden(), False) | ||
self.assertEqual(self.spinner[0].isHidden(), False) | ||
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def test_values_on_output(self): | ||
""" Check if all values right on output """ | ||
self.widget.apply() | ||
learner = self.widget.learner.params | ||
self.assertEqual(learner.get("n_neighbors"), self.spinner[0].value()) | ||
self.assertEqual(learner.get("metric").capitalize(), self.combo_box[0].currentText()) | ||
self.assertEqual(learner.get("weights").capitalize(), self.combo_box[1].currentText()) | ||
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def test_selected_values_metrics(self): | ||
""" Check right value of combobox metric is right on output """ | ||
for index, metric in enumerate(self.widget.metrics): | ||
self.combo_box[0].activated.emit(index) | ||
self.combo_box[0].setCurrentIndex(index) | ||
self.assertEqual(self.combo_box[0].currentText().capitalize(), metric.capitalize()) | ||
self.widget.apply() | ||
self.assertEqual(self.widget.learner.params.get("metric").capitalize(), | ||
self.combo_box[0].currentText().capitalize()) | ||
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def test_selected_values_weights(self): | ||
""" Check right value of combobox metric is right on output """ | ||
for index, metric in enumerate(self.widget.weights): | ||
self.combo_box[1].activated.emit(index) | ||
self.combo_box[1].setCurrentIndex(index) | ||
self.assertEqual(self.combo_box[1].currentText().capitalize(), metric.capitalize()) | ||
self.widget.apply() | ||
self.assertEqual(self.widget.learner.params.get("weights").capitalize(), | ||
self.combo_box[1].currentText().capitalize()) | ||
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def test_learner_on_output(self): | ||
""" Check if learner is on output after create widget and apply """ | ||
self.widget.apply() | ||
self.assertNotEqual(self.widget.learner, None) | ||
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self.widget = self.create_widget(OWKNNLearner, | ||
stored_settings={"auto_apply": False}) | ||
self.init() | ||
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def combo_set_value(i, x): | ||
x.activated.emit(i) | ||
x.setCurrentIndex(i) | ||
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metrics = self.widget.metrics | ||
weights = self.widget.weights | ||
nn_spin = self.widget.n_neighbors_spin | ||
nn_min_max = [nn_spin.minimum(), nn_spin.maximum()] | ||
self.gui_to_params = [ | ||
GuiToParam('metric', self.widget.metrics_combo, | ||
lambda x: x.currentText().lower(), | ||
combo_set_value, metrics, list(range(len(metrics)))), | ||
GuiToParam('weights', self.widget.weights_combo, | ||
lambda x: x.currentText().lower(), | ||
combo_set_value, weights, list(range(len(weights)))), | ||
GuiToParam('n_neighbors', nn_spin, lambda x: x.value(), | ||
lambda i, x: x.setValue(i), nn_min_max, nn_min_max)] |