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)
