def test_run(self): function = ClassifiedRasterHazardBuildingFunction.instance() hazard_path = test_data_path('hazard', 'classified_flood_20_20.asc') exposure_path = test_data_path('exposure', 'buildings.shp') hazard_layer = read_layer(hazard_path) exposure_layer = read_layer(exposure_path) function.hazard = SafeLayer(hazard_layer) function.exposure = SafeLayer(exposure_layer) function.run() impact_layer = function.impact impact_data = impact_layer.get_data() # Count expected_impact = {1.0: 67, 2.0: 49, 3.0: 64} result_impact = {1.0: 0, 2.0: 0, 3.0: 0} for impact_feature in impact_data: level = impact_feature['level'] if not math.isnan(level): result_impact[level] += 1 message = 'Expecting %s, but it returns %s' % (expected_impact, result_impact) self.assertEqual(expected_impact, result_impact, message)
def test_run(self): function = ClassifiedRasterHazardBuildingFunction.instance() hazard_path = test_data_path('hazard', 'classified_flood_20_20.asc') exposure_path = test_data_path('exposure', 'buildings.shp') hazard_layer = read_layer(hazard_path) exposure_layer = read_layer(exposure_path) function.hazard = hazard_layer function.exposure = exposure_layer function.run() impact_layer = function.impact impact_data = impact_layer.get_data() # Count expected_impact = { 1.0: 67, 2.0: 49, 3.0: 64 } result_impact = { 1.0: 0, 2.0: 0, 3.0: 0 } for impact_feature in impact_data: level = impact_feature['level'] if not math.isnan(level): result_impact[level] += 1 message = 'Expecting %s, but it returns %s' % ( expected_impact, result_impact) self.assertEqual(expected_impact, result_impact, message)
def test_run(self): function = ClassifiedRasterHazardBuildingFunction.instance() hazard_path = standard_data_path( 'hazard', 'classified_hazard.tif') exposure_path = standard_data_path('exposure', 'small_building.shp') hazard_layer = read_layer(hazard_path) exposure_layer = read_layer(exposure_path) function.hazard = SafeLayer(hazard_layer) function.exposure = SafeLayer(exposure_layer) function.run_analysis() impact_layer = function.impact impact_data = impact_layer.get_data() # Count expected_impact = { 'Not affected': 5, 'Low hazard zone': 2, 'Medium hazard zone': 9, 'High hazard zone': 5 } result_impact = {} for impact_feature in impact_data: hazard_class = impact_feature[function.target_field] if hazard_class in result_impact: result_impact[hazard_class] += 1 else: result_impact[hazard_class] = 1 self.assertDictEqual(expected_impact, result_impact)