Best Python code snippet using Airtest
test_ios.py
Source:test_ios.py
...18 try_remove('screen.png')19 def test_session(self):20 print("test_session")21 self.assertIsNotNone(self.ios.session)22 def test_wda(self):23 print("test_wda")24 self.assertIsInstance(self.ios.driver, wda.Client)25 def test_display_info(self):26 print("test_display_info")27 device_infos = self.ios.display_info28 self.assertIsInstance(device_infos["width"], int)29 self.assertIsInstance(device_infos["height"], int)30 self.assertIsInstance(device_infos["orientation"], str)31 print(device_infos)32 def test_snapshot(self):33 print("test_snapshot")34 filename = "./screen.png"35 if os.path.exists(filename):36 os.remove(filename)...
test_dr.py
Source:test_dr.py
...22 Pfda, projfda = ot.dr.fda(xs, ys, p)23 projfda(xs)24 np.testing.assert_allclose(np.sum(Pfda**2, 0), np.ones(p))25@pytest.mark.skipif(nogo, reason="Missing modules (autograd or pymanopt)")26def test_wda():27 n_samples = 100 # nb samples in source and target datasets28 np.random.seed(0)29 # generate gaussian dataset30 xs, ys = ot.datasets.make_data_classif('gaussrot', n_samples)31 n_features_noise = 832 xs = np.hstack((xs, np.random.randn(n_samples, n_features_noise)))33 p = 234 Pwda, projwda = ot.dr.wda(xs, ys, p, maxiter=10)35 projwda(xs)...
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