def test_flag(self, mocked_Dataset):
mocked_Dataset.return_value = mock_dataset()
r = Reader('xyz')
r.flag('cloud', 14)
r.flag('confidence', 14)
r.flag('pointing', 14)
r.flag('bayesian', 14)
def test_coordinates(self, mocked_Dataset):
mocked_Dataset.return_value = mock_dataset()
r1 = Reader('xyz')
r1.latitude()
mocked_Dataset.assert_called()
mocked_Dataset.reset_mock()
r1.longitude()
mocked_Dataset.assert_not_called()
def test_caching(self, mocked_Dataset):
mocked_Dataset.return_value = mock_dataset()
r = Reader('xyz')
r.radiance('S1')
# Test that caching works
mocked_Dataset.reset_mock()
r.radiance('S1')
mocked_Dataset.assert_not_called()
# Test no caching if different channel
mocked_Dataset.reset_mock()
r.radiance('S2')
mocked_Dataset.assert_called()
r.reflectance('S1')
# Test that caching works
mocked_Dataset.reset_mock()
r.reflectance('S1')
mocked_Dataset.assert_not_called()
# Test no caching if different channel
mocked_Dataset.reset_mock()
r.reflectance('S2')
mocked_Dataset.assert_called()
def test_fire(self, mocked_Dataset):
mocked_Dataset.return_value = mock_dataset()
r = Reader('xyz', 'in')
r._read_tir()
r._read_fire()
def test_reflectance(self, mocked_Dataset):
mocked_Dataset.return_value = mock_dataset()
r = Reader('xyz')
r.reflectance('S1')
def test_read_channel(self, mocked_Dataset):
mocked_Dataset.return_value = mock_dataset()
r = Reader('xyz')
r._read_channel('S1')
def test_Dataset(self, mocked_Dataset):
mocked_Dataset.return_value = mock_dataset()
r = Reader('xyz')
r._fill_coords()
def test_invalid_channel(self):
r = Reader('xyz')
self.assertRaises(Exception, r._read_channel, 'invalid')
def test_read_argument(self, mocked_read):
r = Reader('xyz')
r._read_channel('fake')
mocked_read.assert_called_once_with('fake')
def test_constructor(self):
r = Reader('xyz')
def test_invalid_views(self, mocked_Dataset):
mocked_Dataset.return_value = mock_dataset()
r = Reader('xyz', 'invalid')
self.assertRaises(Exception, r.radiance, 'S1')
self.assertRaises(Exception, r.radiance, 'F1')
def test_radiance(self, mocked_Dataset):
mocked_Dataset.return_value = mock_dataset()
r1 = Reader('xyz')
r1.radiance('S1')
r2 = Reader('xyz', 'in')
r2.radiance('F1')