def test_no_phenomenon(self): original_metadata = deepcopy(self.metadata) self.phenom_lookup_patch.return_value = None result = translate_phenomenon(self.metadata, None, None, None, probability=self.probability) self.assertEqual(self.metadata, original_metadata)
def test_basic(self): result = translate_phenomenon(self.metadata, None, None, None, probability=self.probability) # Check metadata. thresh_coord = DimCoord([22.0], standard_name='air_temperature', long_name='', units='K') self.assertEqual(self.metadata, { 'standard_name': None, 'long_name': 'probability_of_air_temperature_<prob_type>', 'units': Unit(1), 'aux_coords_and_dims': [(thresh_coord, None)]})
def test_basic(self): result = translate_phenomenon(self.metadata, None, None, None, probability=self.probability) # Check metadata. thresh_coord = DimCoord([22.0], standard_name='air_temperature', long_name='', units='K') self.assertEqual( self.metadata, { 'standard_name': None, 'long_name': 'probability_of_air_temperature_<prob_type>', 'units': Unit(1), 'aux_coords_and_dims': [(thresh_coord, None)] })