How to use test_computed_properties method in locust

Best Python code snippet using locust

test_model.py

Source:test_model.py

...204    o = _create_overview()205    o.footprint_geometry = normal_poly206    res: BaseGeometry = benchmark(lambda: o.footprint_wgs84)207    assert_shapes_mostly_equal(res, expected_poly, 0.001)208def test_computed_properties():209    o = _create_overview()210    o.product_name = "test_product"211    def check_flat_period(o, expected_period: str, expected_date: date):212        assert o.as_flat_period() == (expected_period, expected_date)213        # Converting the other way should also match.214        unflattened = TimePeriodOverview.from_flat_period_representation(215            *o.as_flat_period()216        )217        assert (o.year, o.month, o.day) == unflattened218    assert o.label == "test_product all all all"219    check_flat_period(o, "all", date(1900, 1, 1))220    assert str(o) == "test_product all all all (1 dataset)"221    o.year = 2018222    assert o.label == "test_product 2018 all all"...

image.py

Source:image.py

...37        self.assertEqual(im.width, 256)38        self.assertEqual(im.height, 256)39        self.assertEqual(im.crs, self.epsg_4326)40        self.assertTrue(im.vrt.startswith("<VRTDataset "))41    def test_computed_properties(self):42        im = self.fixture()43        self.assertEqual(im.px_width, 2.0/300)44        self.assertEqual(im.px_height, -2.0/200)45        self.assertEqual(im.transform, (-1.0, 2.0/300, 0.0, 1.0, 0.0, -2.0/200))46        self.assertEqual(im.bbox, (-1.0, -1.0, 1.0, 1.0))47    def test_window(self):48        im = self.fixture()49        self.assertEqual(im.window((0.0, 0.0, 1.0, 1.0)), (150, 0, 150, 100))50    def test_predicates(self):51        im = self.fixture()52        # identity53        self.assertEqual(im.intersection(im.bbox), im.bbox)54        # partial intersection55        self.assertEqual(im.intersection((0.0, 0.0, 2.0, 2.0)), (0.0, 0.0, 1.0, 1.0))...

test_course.py

Source:test_course.py

...7    def setUp(self):8        with open('test/courses-fixture.json', 'r') as file:9            data = json.load(file)10            self.courses = [Course(**c) for c in data]11    def test_computed_properties(self):12        # test a course with one instructor and with two13        one_instructor = self.courses[0]14        two_instructors = self.courses[4]15        # instructor methods16        self.assertEqual(one_instructor.instructor_names, 'Donald Fortescue')17        self.assertEqual(one_instructor.instructor_usernames, 'dfortescue')18        self.assertEqual(two_instructors.instructor_names, 'Megan Werner, Elin Christopherson')19        self.assertEqual(two_instructors.instructor_usernames, 'mwerner, echristopherson')20        # test on_portal - one_instructor course is status: Preliminary21        self.assertFalse(one_instructor.on_portal)22        self.assertTrue(two_instructors.on_portal)23        self.assertFalse(next(c for c in self.courses if c.hidden == '1').on_portal)24        self.assertFalse(self.courses[11].on_portal) # EXTED course25        # test a first year course rather than another UDIST one...

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