def test_run(self): """TestClassifiedPolygonPopulationFunction: Test running the IF.""" generic_polygon_path = test_data_path( 'hazard', 'classified_generic_polygon.shp') population_path = test_data_path( 'exposure', 'pop_binary_raster_20_20.asc') generic_polygon_layer = read_layer(generic_polygon_path) population_layer = read_layer(population_path) impact_function = ClassifiedPolygonHazardPopulationFunction.instance() impact_function.hazard = SafeLayer(generic_polygon_layer) impact_function.exposure = SafeLayer(population_layer) impact_function.run() impact_layer = impact_function.impact # Check the question expected_question = ('In each of the hazard zones how many people ' 'might be impacted.') message = 'The question should be %s, but it returns %s' % ( expected_question, impact_function.question) self.assertEqual(expected_question, impact_function.question, message) # Count by hand expected_affected_population = 181 result = numpy.nansum(impact_layer.get_data()) self.assertEqual(expected_affected_population, result, message)
def test_run(self): """TestClassifiedPolygonPopulationFunction: Test running the IF.""" generic_polygon_path = test_data_path( 'hazard', 'classified_generic_polygon.shp') population_path = test_data_path('exposure', 'pop_binary_raster_20_20.asc') generic_polygon_layer = read_layer(generic_polygon_path) population_layer = read_layer(population_path) impact_function = ClassifiedPolygonHazardPopulationFunction.instance() impact_function.hazard = generic_polygon_layer impact_function.exposure = population_layer impact_function.parameters['hazard zone attribute'] = 'h_zone' impact_function.run() impact_layer = impact_function.impact # Check the question expected_question = ('In each of the hazard zones how many people ' 'might be impacted.') message = 'The question should be %s, but it returns %s' % ( expected_question, impact_function.question) self.assertEqual(expected_question, impact_function.question, message) # Count by hand expected_affected_population = 181 result = numpy.nansum(impact_layer.get_data()) self.assertEqual(expected_affected_population, result, message)
def test_is_valid(self): """Test is_valid.""" impact_functions = [ # Earthquake EarthquakeBuildingFunction(), ITBFatalityFunction(), PAGFatalityFunction(), # Generic ClassifiedPolygonHazardBuildingFunction(), ClassifiedPolygonHazardPopulationFunction(), ClassifiedRasterHazardBuildingFunction(), ClassifiedRasterHazardPopulationFunction(), ContinuousHazardPopulationFunction(), # Inundation FloodEvacuationVectorHazardFunction(), FloodPolygonRoadsFunction(), FloodRasterBuildingFunction(), FloodEvacuationRasterHazardFunction(), FloodRasterRoadsFunction(), FloodPolygonBuildingFunction(), TsunamiEvacuationFunction(), # Volcanic VolcanoPointBuildingFunction(), VolcanoPointPopulationFunction(), VolcanoPolygonBuildingFunction(), VolcanoPolygonPopulationFunction() ] for impact_function in impact_functions: valid = impact_function.metadata().is_valid() impact_function_name = impact_function.__class__.__name__ message = '%s is invalid because %s' % (impact_function_name, valid[1]) self.assertTrue(valid[0], message) if valid[0]: print '%s has a valid metadata.' % impact_function_name
def test_is_valid(self): """Test is_valid.""" impact_functions = [ # Earthquake EarthquakeBuildingFunction(), ITBFatalityFunction(), PAGFatalityFunction(), ITBBayesianFatalityFunction(), # Generic ClassifiedPolygonHazardBuildingFunction(), ClassifiedPolygonHazardLandCoverFunction(), ClassifiedPolygonHazardPopulationFunction(), ClassifiedPolygonHazardPolygonPeopleFunction(), ClassifiedRasterHazardBuildingFunction(), ClassifiedRasterHazardPopulationFunction(), ContinuousHazardPopulationFunction(), # Inundation FloodEvacuationVectorHazardFunction(), FloodPolygonRoadsFunction(), FloodRasterBuildingFunction(), FloodEvacuationRasterHazardFunction(), FloodRasterRoadsFunction(), FloodPolygonBuildingFunction(), # Tsunami TsunamiEvacuationFunction(), TsunamiRasterRoadsFunction(), TsunamiRasterLandcoverFunction(), TsunamiRasterBuildingFunction(), # Volcanic VolcanoPointBuildingFunction(), VolcanoPointPopulationFunction(), VolcanoPolygonBuildingFunction(), VolcanoPolygonPopulationFunction(), # Volcanic Ash AshRasterLandCoverFunction(), AshRasterPlacesFunction(), AshRasterPopulationFunction() ] self.assertEqual(len(impact_functions), len(EXPECTED_IF)) for impact_function in impact_functions: valid = impact_function.metadata().is_valid() impact_function_name = impact_function.__class__.__name__ message = '%s is invalid because %s' % (impact_function_name, valid[1]) self.assertTrue(valid[0], message) if valid[0]: # print '%s has a valid metadata.' % impact_function_name continue
def test_run(self): """TestClassifiedPolygonPopulationFunction: Test running the IF.""" generic_polygon_path = standard_data_path( 'hazard', 'classified_generic_polygon.shp') population_path = standard_data_path('exposure', 'pop_binary_raster_20_20.asc') generic_polygon_layer = read_layer(generic_polygon_path) population_layer = read_layer(population_path) impact_function = ClassifiedPolygonHazardPopulationFunction.instance() impact_function.hazard = SafeLayer(generic_polygon_layer) impact_function.exposure = SafeLayer(population_layer) impact_function.run() impact_layer = impact_function.impact # Check the question expected_question = ( 'In each of the hazard zones how many people might be impacted?') self.assertEqual(expected_question, impact_function.question) # Count by hand expected_affected_population = 181 result = numpy.nansum(impact_layer.get_data()) self.assertEqual(expected_affected_population, result)