def test_remove_measure(self): """Test remove_measure method""" hazard = Hazard.from_mat(HAZ_TEST_MAT) entity = Entity.from_excel(ENT_DEMO_TODAY) entity.check() entity.exposures.ref_year = 2018 cost_ben = CostBenefit() cost_ben.calc(hazard, entity, future_year=2040, risk_func=risk_aai_agg, imp_time_depen=None, save_imp=True) to_remove = 'Mangroves' self.assertTrue(to_remove in cost_ben.benefit.keys()) cost_ben.remove_measure(to_remove) self.assertTrue(to_remove not in cost_ben.color_rgb.keys()) self.assertTrue(to_remove not in cost_ben.benefit.keys()) self.assertTrue(to_remove not in cost_ben.cost_ben_ratio.keys()) self.assertTrue(to_remove not in cost_ben.imp_meas_future.keys()) self.assertTrue(to_remove not in cost_ben.imp_meas_present.keys()) self.assertEqual(len(cost_ben.imp_meas_present), 0) self.assertEqual(len(cost_ben.imp_meas_future), 4) self.assertEqual(len(cost_ben.color_rgb), 4) self.assertEqual(len(cost_ben.cost_ben_ratio), 3) self.assertEqual(len(cost_ben.benefit), 3)
def test_excel_io(self): """Test write and read in excel""" ent = Entity.from_excel(ENT_DEMO_TODAY) ent.check() hazard = Hazard.from_mat(HAZ_TEST_MAT) imp_write = Impact() ent.exposures.assign_centroids(hazard) imp_write.calc(ent.exposures, ent.impact_funcs, hazard) file_name = DATA_FOLDER.joinpath('test.xlsx') imp_write.write_excel(file_name) imp_read = Impact.from_excel(file_name) np.testing.assert_array_equal(imp_write.event_id, imp_read.event_id) np.testing.assert_array_equal(imp_write.date, imp_read.date) np.testing.assert_array_equal(imp_write.coord_exp, imp_read.coord_exp) np.testing.assert_array_almost_equal_nulp(imp_write.eai_exp, imp_read.eai_exp, nulp=5) np.testing.assert_array_almost_equal_nulp(imp_write.at_event, imp_read.at_event, nulp=5) np.testing.assert_array_equal(imp_write.frequency, imp_read.frequency) self.assertEqual(imp_write.tot_value, imp_read.tot_value) self.assertEqual(imp_write.aai_agg, imp_read.aai_agg) self.assertEqual(imp_write.unit, imp_read.unit) self.assertEqual( 0, len([ i for i, j in zip(imp_write.event_name, imp_read.event_name) if i != j ])) self.assertIsInstance(imp_read.crs, str)
def test_calc_imp_mat_pass(self): """Test save imp_mat""" # Read default entity values ent = Entity.from_excel(ENT_DEMO_TODAY) ent.check() # Read default hazard file hazard = Hazard.from_mat(HAZ_TEST_MAT) # Create impact object impact = Impact() # Assign centroids to exposures ent.exposures.assign_centroids(hazard) # Compute the impact over the whole exposures impact.calc(ent.exposures, ent.impact_funcs, hazard, save_mat=True) self.assertIsInstance(impact.imp_mat, sparse.csr_matrix) self.assertEqual(impact.imp_mat.shape, (hazard.event_id.size, ent.exposures.gdf.value.size)) np.testing.assert_array_almost_equal_nulp(np.array( impact.imp_mat.sum(axis=1)).ravel(), impact.at_event, nulp=5) np.testing.assert_array_almost_equal_nulp( np.sum(impact.imp_mat.toarray() * impact.frequency[:, None], axis=0).reshape(-1), impact.eai_exp)
def test_impact(self): ent = Entity.from_excel(ENT_DEMO_TODAY) ent.check() hazard = Hazard.from_mat(HAZ_TEST_MAT) impact = Impact() ent.exposures.assign_centroids(hazard) impact.calc(ent.exposures, ent.impact_funcs, hazard) return impact
def test_combine_current_pass(self): """Test combine_measures with only future""" hazard = Hazard.from_mat(HAZ_TEST_MAT) entity = Entity.from_excel(ENT_DEMO_TODAY) entity.check() entity.exposures.ref_year = 2018 cost_ben = CostBenefit() cost_ben.calc(hazard, entity, future_year=2040, risk_func=risk_aai_agg, imp_time_depen=None, save_imp=True) new_name = 'combine' new_color = np.array([0.1, 0.1, 0.1]) new_cb = cost_ben.combine_measures(['Mangroves', 'Seawall'], new_name, new_color, entity.disc_rates, imp_time_depen=None, risk_func=risk_aai_agg) self.assertTrue(np.allclose(new_cb.color_rgb[new_name], new_color)) self.assertEqual(len(new_cb.imp_meas_present), 0) new_imp = cost_ben.imp_meas_future['no measure']['impact'].at_event - \ cost_ben.imp_meas_future['Mangroves']['impact'].at_event new_imp += cost_ben.imp_meas_future['no measure']['impact'].at_event - \ cost_ben.imp_meas_future['Seawall']['impact'].at_event new_imp = np.maximum( cost_ben.imp_meas_future['no measure']['impact'].at_event - new_imp, 0) self.assertTrue( np.allclose(new_cb.imp_meas_future[new_name]['impact'].at_event, new_imp)) self.assertAlmostEqual( new_cb.imp_meas_future[new_name]['risk'], np.sum(new_imp * cost_ben.imp_meas_future['no measure']['impact'].frequency), 5) self.assertAlmostEqual( new_cb.imp_meas_future[new_name]['cost'][0], cost_ben.imp_meas_future['Mangroves']['cost'][0] + cost_ben.imp_meas_future['Seawall']['cost'][0]) self.assertAlmostEqual(new_cb.imp_meas_future[new_name]['cost'][1], 1) self.assertTrue( np.allclose( new_cb.imp_meas_future[new_name]['efc'].impact, new_cb.imp_meas_future[new_name] ['impact'].calc_freq_curve().impact)) self.assertAlmostEqual(new_cb.imp_meas_future[new_name]['risk_transf'], 0) self.assertAlmostEqual(new_cb.benefit[new_name], 51781337529.07264, places=3) self.assertAlmostEqual(new_cb.cost_ben_ratio[new_name], 0.19679962474434248)
def test_ref_value_insure_pass(self): """Test result against reference value""" # Read demo entity values # Set the entity default file to the demo one ent = Entity.from_excel(ENT_DEMO_TODAY) ent.check() # Read default hazard file hazard = Hazard.from_mat(HAZ_TEST_MAT) # Create impact object impact = Impact() impact.at_event = np.zeros(hazard.intensity.shape[0]) impact.eai_exp = np.zeros(len(ent.exposures.gdf.value)) impact.tot_value = 0 # Assign centroids to exposures ent.exposures.assign_centroids(hazard) # Compute impact for 6th exposure iexp = 5 # Take its impact function imp_id = ent.exposures.gdf.impf_TC[iexp] imp_fun = ent.impact_funcs.get_func(hazard.tag.haz_type, imp_id) # Compute insure_flag = True impact._exp_impact(np.array([iexp]), ent.exposures, hazard, imp_fun, insure_flag) self.assertEqual(impact.eai_exp.size, ent.exposures.gdf.shape[0]) self.assertEqual(impact.at_event.size, hazard.intensity.shape[0]) events_pos = hazard.intensity[:, ent.exposures.gdf. centr_TC[iexp]].nonzero()[0] res_exp = np.zeros((ent.exposures.gdf.shape[0])) res_exp[iexp] = np.sum(impact.at_event[events_pos] * hazard.frequency[events_pos]) np.testing.assert_array_equal(res_exp, impact.eai_exp) self.assertEqual(0, impact.at_event[12]) # Check first 3 values self.assertEqual(0, impact.at_event[12]) self.assertEqual(0, impact.at_event[41]) self.assertEqual(1.0626600695059455e+06, impact.at_event[44]) # Check intermediate values self.assertEqual(0, impact.at_event[6281]) self.assertEqual(0, impact.at_event[4998]) self.assertEqual(0, impact.at_event[9527]) self.assertEqual(1.3318063850487845e+08, impact.at_event[7192]) self.assertEqual(4.667108555054083e+06, impact.at_event[8624]) # Check last 3 values self.assertEqual(0, impact.at_event[14349]) self.assertEqual(0, impact.at_event[14347]) self.assertEqual(0, impact.at_event[14309])
def test_wrongImpFun_fail(self): """Wrong impact functions""" ent = Entity.from_excel(ENT_TEMPLATE_XLS) ent.impact_funcs.get_func('TC', 1).paa = np.array([1, 2]) with self.assertRaises(ValueError) as cm: ent.check() self.assertIn('ImpactFunc.paa', str(cm.exception)) with self.assertRaises(ValueError) as cm: ent.impact_funcs = Exposures() self.assertIn('ImpactFuncSet', str(cm.exception))
def test_from_excel(self): """Read entity from an xls file following the template.""" entity_xls = Entity.from_excel(ENT_TEMPLATE_XLS) self.assertEqual(entity_xls.exposures.tag.file_name, str(ENT_TEMPLATE_XLS)) self.assertEqual(entity_xls.disc_rates.tag.file_name, str(ENT_TEMPLATE_XLS)) self.assertEqual(entity_xls.measures.tag.file_name, str(ENT_TEMPLATE_XLS)) self.assertEqual(entity_xls.impact_funcs.tag.file_name, str(ENT_TEMPLATE_XLS))
def test_wrongDisc_fail(self): """Wrong discount rates""" ent = Entity.from_excel(ENT_TEMPLATE_XLS) ent.disc_rates.rates = np.array([1, 2]) with self.assertRaises(ValueError) as cm: ent.check() self.assertIn('DiscRates.rates', str(cm.exception)) with self.assertRaises(ValueError) as cm: ent.disc_rates = Exposures() self.assertIn('DiscRates', str(cm.exception))
def test_wrongMeas_fail(self): """Wrong measures""" ent = Entity.from_excel(ENT_TEMPLATE_XLS) actions = ent.measures.get_measure('TC') actions[0].color_rgb = np.array([1, 2]) with self.assertRaises(ValueError) as cm: ent.check() self.assertIn('Measure.color_rgb', str(cm.exception)) with self.assertRaises(ValueError) as cm: ent.measures = Exposures() self.assertIn('MeasureSet', str(cm.exception))
def test_impact_pass(self): """Plot impact exceedence frequency curves.""" myent = Entity.from_excel(ENT_DEMO_TODAY) myent.exposures.check() myhaz = Hazard.from_mat(HAZ_DEMO_MAT) myimp = Impact() myimp.calc(myent.exposures, myent.impact_funcs, myhaz) ifc = myimp.calc_freq_curve() myax = ifc.plot() self.assertIn('Exceedance frequency curve', myax.get_title()) ifc2 = ImpactFreqCurve() ifc2.return_per = ifc.return_per ifc2.impact = 1.5e11 * np.ones(ifc2.return_per.size) ifc2.unit = '' ifc2.label = 'prove' ifc2.plot(axis=myax)
def test_ref_value_pass(self): """Test result against reference value""" # Read default entity values ent = Entity.from_excel(ENT_DEMO_TODAY) ent.check() # Read default hazard file hazard = Hazard.from_mat(HAZ_TEST_MAT) # Create impact object impact = Impact() # Assign centroids to exposures ent.exposures.assign_centroids(hazard) # Compute the impact over the whole exposures impact.calc(ent.exposures, ent.impact_funcs, hazard) # Check result num_events = len(hazard.event_id) num_exp = ent.exposures.gdf.shape[0] # Check relative errors as well when absolute value gt 1.0e-7 # impact.at_event == EDS.damage in MATLAB self.assertEqual(num_events, len(impact.at_event)) self.assertEqual(0, impact.at_event[0]) self.assertEqual(0, impact.at_event[int(num_events / 2)]) self.assertAlmostEqual(1.472482938320243e+08, impact.at_event[13809]) self.assertEqual(7.076504723057620e+10, impact.at_event[12147]) self.assertEqual(0, impact.at_event[num_events - 1]) # impact.eai_exp == EDS.ED_at_centroid in MATLAB self.assertEqual(num_exp, len(impact.eai_exp)) self.assertAlmostEqual(1.518553670803242e+08, impact.eai_exp[0]) self.assertAlmostEqual(1.373490457046383e+08, impact.eai_exp[int(num_exp / 2)], 6) self.assertAlmostEqual(1.373490457046383e+08, impact.eai_exp[int(num_exp / 2)], 5) self.assertAlmostEqual(1.066837260150042e+08, impact.eai_exp[num_exp - 1], 6) self.assertAlmostEqual(1.066837260150042e+08, impact.eai_exp[int(num_exp - 1)], 5) # impact.tot_value == EDS.Value in MATLAB # impact.aai_agg == EDS.ED in MATLAB self.assertAlmostEqual(6.570532945599105e+11, impact.tot_value) self.assertAlmostEqual(6.512201157564421e+09, impact.aai_agg, 5) self.assertAlmostEqual(6.512201157564421e+09, impact.aai_agg, 5)
def test_select_event_identity_pass(self): """ test select same impact with event name, id and date """ # Read default entity values ent = Entity.from_excel(ENT_DEMO_TODAY) ent.check() # Read default hazard file hazard = Hazard.from_mat(HAZ_TEST_MAT) # Create impact object imp = Impact() # Assign centroids to exposures ent.exposures.assign_centroids(hazard) # Compute the impact over the whole exposures imp.calc(ent.exposures, ent.impact_funcs, hazard, save_mat=True) sel_imp = imp.select(event_ids=imp.event_id, event_names=imp.event_name, dates=(min(imp.date), max(imp.date))) self.assertTrue(u_coord.equal_crs(sel_imp.crs, imp.crs)) self.assertEqual(sel_imp.unit, imp.unit) np.testing.assert_array_equal(sel_imp.event_id, imp.event_id) self.assertEqual(sel_imp.event_name, imp.event_name) np.testing.assert_array_equal(sel_imp.date, imp.date) np.testing.assert_array_equal(sel_imp.frequency, imp.frequency) np.testing.assert_array_equal(sel_imp.at_event, imp.at_event) np.testing.assert_array_equal(sel_imp.imp_mat.todense(), imp.imp_mat.todense()) np.testing.assert_array_equal(sel_imp.eai_exp, imp.eai_exp) self.assertAlmostEqual(round(sel_imp.aai_agg, 5), round(imp.aai_agg, 5)) self.assertEqual(sel_imp.tot_value, imp.tot_value) np.testing.assert_array_equal(sel_imp.coord_exp, imp.coord_exp) self.assertIsInstance(sel_imp, Impact) self.assertIsInstance(sel_imp.imp_mat, sparse.csr_matrix)
def test_calc_impf_pass(self): """Execute when no impf_HAZ present, but only impf_""" ent = Entity.from_excel(ENT_DEMO_TODAY) self.assertTrue('impf_TC' in ent.exposures.gdf.columns) ent.exposures.gdf.rename(columns={'impf_TC': 'impf_'}, inplace=True) self.assertFalse('impf_TC' in ent.exposures.gdf.columns) ent.check() # Read default hazard file hazard = Hazard.from_mat(HAZ_TEST_MAT) # Create impact object impact = Impact() impact.calc(ent.exposures, ent.impact_funcs, hazard) # Check result num_events = len(hazard.event_id) num_exp = ent.exposures.gdf.shape[0] # Check relative errors as well when absolute value gt 1.0e-7 # impact.at_event == EDS.damage in MATLAB self.assertEqual(num_events, len(impact.at_event)) self.assertEqual(0, impact.at_event[0]) self.assertEqual(0, impact.at_event[int(num_events / 2)]) self.assertAlmostEqual(1.472482938320243e+08, impact.at_event[13809]) self.assertEqual(7.076504723057620e+10, impact.at_event[12147]) self.assertEqual(0, impact.at_event[num_events - 1]) # impact.eai_exp == EDS.ED_at_centroid in MATLAB self.assertEqual(num_exp, len(impact.eai_exp)) self.assertAlmostEqual(1.518553670803242e+08, impact.eai_exp[0]) self.assertAlmostEqual(1.373490457046383e+08, impact.eai_exp[int(num_exp / 2)], 6) self.assertAlmostEqual(1.373490457046383e+08, impact.eai_exp[int(num_exp / 2)], 5) self.assertAlmostEqual(1.066837260150042e+08, impact.eai_exp[num_exp - 1], 6) self.assertAlmostEqual(1.066837260150042e+08, impact.eai_exp[int(num_exp - 1)], 5) # impact.tot_value == EDS.Value in MATLAB # impact.aai_agg == EDS.ED in MATLAB self.assertAlmostEqual(6.570532945599105e+11, impact.tot_value) self.assertAlmostEqual(6.512201157564421e+09, impact.aai_agg, 5) self.assertAlmostEqual(6.512201157564421e+09, impact.aai_agg, 5)
def test_default_pass(self): """Instantiating the Entity class the default entity file is loaded""" # Set demo file as default def_entity = Entity.from_excel(ENT_TEMPLATE_XLS) # Check default demo excel file has been loaded self.assertEqual(len(def_entity.exposures.gdf.deductible), 24) self.assertEqual(def_entity.exposures.gdf.value[2], 12596064143.542929) self.assertEqual(len(def_entity.impact_funcs.get_func('TC', 1).mdd), 25) self.assertIn('risk transfer', def_entity.measures.get_names('TC')) self.assertEqual(def_entity.disc_rates.years[5], 2005) self.assertTrue(isinstance(def_entity.disc_rates, DiscRates)) self.assertTrue(isinstance(def_entity.exposures, Exposures)) self.assertTrue(isinstance(def_entity.impact_funcs, ImpactFuncSet)) self.assertTrue(isinstance(def_entity.measures, MeasureSet))
def test_calc_no_change_pass(self): """Test calc without future change""" hazard = Hazard.from_mat(HAZ_TEST_MAT) entity = Entity.from_excel(ENT_DEMO_TODAY) entity.check() entity.exposures.ref_year = 2018 cost_ben = CostBenefit() cost_ben.calc(hazard, entity, future_year=2040) self.assertEqual(cost_ben.imp_meas_present, dict()) self.assertEqual(len(cost_ben.imp_meas_future), 5) self.assertEqual(cost_ben.present_year, 2018) self.assertEqual(cost_ben.future_year, 2040) self.assertAlmostEqual(cost_ben.cost_ben_ratio['Mangroves'], 0.04230714690616641) self.assertAlmostEqual(cost_ben.cost_ben_ratio['Beach nourishment'], 0.06998836431681373) self.assertAlmostEqual(cost_ben.cost_ben_ratio['Seawall'], 0.2679741183248266) self.assertAlmostEqual(cost_ben.cost_ben_ratio['Building code'], 0.30286828677985717) self.assertAlmostEqual(cost_ben.benefit['Mangroves'], 3.100583368954022e+10, places=3) self.assertAlmostEqual(cost_ben.benefit['Beach nourishment'], 2.468981832719974e+10, places=3) self.assertAlmostEqual(cost_ben.benefit['Seawall'], 3.3132973770502796e+10, places=3) self.assertAlmostEqual(cost_ben.benefit['Building code'], 3.0376240767284798e+10, places=3) self.assertAlmostEqual(cost_ben.tot_climate_risk, 1.2150496306913972e+11, places=3)
def test_local_exceedance_imp_pass(self): """Test calc local impacts per return period""" # Read default entity values ent = Entity.from_excel(ENT_DEMO_TODAY) ent.check() # Read default hazard file hazard = Hazard.from_mat(HAZ_TEST_MAT) # Create impact object impact = Impact() # Assign centroids to exposures ent.exposures.assign_centroids(hazard) # Compute the impact over the whole exposures impact.calc(ent.exposures, ent.impact_funcs, hazard, save_mat=True) # Compute the impact per return period over the whole exposures impact_rp = impact.local_exceedance_imp(return_periods=(10, 40)) self.assertIsInstance(impact_rp, np.ndarray) self.assertEqual(impact_rp.size, 2 * ent.exposures.gdf.value.size) self.assertAlmostEqual(np.max(impact_rp), 2916964966.388219, places=5) self.assertAlmostEqual(np.min(impact_rp), 444457580.131494, places=5)
def ent_fut_dem(): entity = Entity.from_excel(ENT_DEMO_FUTURE) entity.exposures.ref_year = 2040 entity.check() return entity
def ent_dem(): entity = Entity.from_excel(ENT_DEMO_TODAY) entity.exposures.ref_year = 2018 entity.check() return entity
def test_calc_cb_change_pass(self): """Test _calc_cost_benefit with present value against reference value""" hazard = Hazard.from_mat(HAZ_TEST_MAT) entity = Entity.from_mat(ENT_TEST_MAT) entity.measures._data['TC'] = entity.measures._data.pop('XX') for meas in entity.measures.get_measure('TC'): meas.haz_type = 'TC' entity.check() cost_ben = CostBenefit() cost_ben._calc_impact_measures(hazard, entity.exposures, entity.measures, entity.impact_funcs, when='present', risk_func=risk_aai_agg, save_imp=False) ent_future = Entity.from_excel(ENT_DEMO_FUTURE) ent_future.check() haz_future = copy.deepcopy(hazard) haz_future.intensity.data += 25 cost_ben._calc_impact_measures(haz_future, ent_future.exposures, ent_future.measures, ent_future.impact_funcs, when='future', risk_func=risk_aai_agg, save_imp=False) cost_ben.present_year = 2018 cost_ben.future_year = 2040 cost_ben._calc_cost_benefit(entity.disc_rates, imp_time_depen=1) self.assertEqual(cost_ben.present_year, 2018) self.assertEqual(cost_ben.future_year, 2040) self.assertAlmostEqual(cost_ben.tot_climate_risk, 5.768659152882021e+11, places=3) self.assertAlmostEqual(cost_ben.imp_meas_present['no measure']['risk'], 6.51220115756442e+09, places=3) self.assertAlmostEqual(cost_ben.imp_meas_present['Mangroves']['risk'], 4.850407096284983e+09, places=3) self.assertAlmostEqual( cost_ben.imp_meas_present['Beach nourishment']['risk'], 5.188921355413834e+09, places=3) self.assertAlmostEqual(cost_ben.imp_meas_present['Seawall']['risk'], 4.736400526119911e+09, places=3) self.assertAlmostEqual( cost_ben.imp_meas_present['Building code']['risk'], 4.884150868173321e+09, places=3) self.assertAlmostEqual(cost_ben.imp_meas_future['no measure']['risk'], 5.9506659786664024e+10, places=3) self.assertAlmostEqual(cost_ben.imp_meas_future['Mangroves']['risk'], 4.826231151473135e+10, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['Beach nourishment']['risk'], 5.0647250923231674e+10, places=3) self.assertAlmostEqual(cost_ben.imp_meas_future['Seawall']['risk'], 21089567135.7345, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['Building code']['risk'], 4.462999483999791e+10, places=3) self.assertAlmostEqual(cost_ben.benefit['Mangroves'], 113345027690.81276, places=3) self.assertAlmostEqual(cost_ben.benefit['Beach nourishment'], 89444869971.53653, places=3) self.assertAlmostEqual(cost_ben.benefit['Seawall'], 347977469896.1333, places=3) self.assertAlmostEqual(cost_ben.benefit['Building code'], 144216478822.05154, places=3) self.assertAlmostEqual(cost_ben.cost_ben_ratio['Mangroves'], 0.011573232523528404) self.assertAlmostEqual(cost_ben.cost_ben_ratio['Beach nourishment'], 0.01931916274851638) self.assertAlmostEqual(cost_ben.cost_ben_ratio['Seawall'], 0.025515385913577368) self.assertAlmostEqual(cost_ben.cost_ben_ratio['Building code'], 0.06379298728650741) self.assertAlmostEqual(cost_ben.tot_climate_risk, 576865915288.2021, places=3)
def test_apply_transf_future_pass(self): """Test apply_risk_transfer with present and future""" hazard = Hazard.from_mat(HAZ_TEST_MAT) entity = Entity.from_excel(ENT_DEMO_TODAY) entity.check() entity.exposures.ref_year = 2018 fut_ent = copy.deepcopy(entity) fut_ent.exposures.ref_year = 2040 cost_ben = CostBenefit() cost_ben.calc(hazard, entity, ent_future=fut_ent, risk_func=risk_aai_agg, imp_time_depen=None, save_imp=True) new_name = 'combine' new_color = np.array([0.1, 0.1, 0.1]) risk_transf = (1.0e7, 15.0e11, 1) new_cb = cost_ben.combine_measures(['Mangroves', 'Seawall'], new_name, new_color, entity.disc_rates, imp_time_depen=None, risk_func=risk_aai_agg) new_cb.apply_risk_transfer(new_name, risk_transf[0], risk_transf[1], entity.disc_rates, cost_fix=0, cost_factor=risk_transf[2], imp_time_depen=1, risk_func=risk_aai_agg) tr_name = 'risk transfer (' + new_name + ')' new_imp = cost_ben.imp_meas_future['no measure']['impact'].at_event - \ cost_ben.imp_meas_future['Mangroves']['impact'].at_event new_imp += cost_ben.imp_meas_future['no measure']['impact'].at_event - \ cost_ben.imp_meas_future['Seawall']['impact'].at_event new_imp = np.maximum( cost_ben.imp_meas_future['no measure']['impact'].at_event - new_imp, 0) imp_layer = np.minimum(np.maximum(new_imp - risk_transf[0], 0), risk_transf[1]) risk_transfer = np.sum( imp_layer * cost_ben.imp_meas_future['no measure']['impact'].frequency) new_imp = np.maximum(new_imp - imp_layer, 0) self.assertTrue(np.allclose(new_cb.color_rgb[new_name], new_color)) self.assertEqual(len(new_cb.imp_meas_present), 3) self.assertTrue( np.allclose(new_cb.imp_meas_future[tr_name]['impact'].at_event, new_imp)) self.assertTrue( np.allclose(new_cb.imp_meas_present[tr_name]['impact'].at_event, new_imp)) self.assertAlmostEqual( new_cb.imp_meas_future[tr_name]['risk'], np.sum(new_imp * cost_ben.imp_meas_future['no measure']['impact'].frequency), 5) self.assertAlmostEqual( new_cb.imp_meas_present[tr_name]['risk'], np.sum(new_imp * cost_ben.imp_meas_future['no measure']['impact'].frequency), 5) self.assertAlmostEqual(new_cb.cost_ben_ratio[tr_name] * new_cb.benefit[tr_name], 69715165679.7042, places=3) self.assertTrue( np.allclose( new_cb.imp_meas_future[tr_name]['efc'].impact, new_cb.imp_meas_future[tr_name] ['impact'].calc_freq_curve().impact)) self.assertAlmostEqual(new_cb.imp_meas_future[tr_name]['risk_transf'], risk_transfer) # benefit = impact layer self.assertAlmostEqual(new_cb.benefit[tr_name], 69715165679.7042, 4) self.assertAlmostEqual(new_cb.cost_ben_ratio[tr_name], 1)
def test_calc_change_pass(self): """Test calc with future change""" # present hazard = Hazard.from_mat(HAZ_TEST_MAT) entity = Entity.from_excel(ENT_DEMO_TODAY) entity.exposures.gdf.rename(columns={'impf_': 'impf_TC'}, inplace=True) entity.check() entity.exposures.ref_year = 2018 # future ent_future = Entity.from_excel(ENT_DEMO_FUTURE) ent_future.check() ent_future.exposures.ref_year = 2040 haz_future = copy.deepcopy(hazard) haz_future.intensity.data += 25 cost_ben = CostBenefit() cost_ben.calc(hazard, entity, haz_future, ent_future) self.assertEqual(cost_ben.present_year, 2018) self.assertEqual(cost_ben.future_year, 2040) self.assertAlmostEqual(cost_ben.tot_climate_risk, 5.768659152882021e+11, places=3) self.assertAlmostEqual(cost_ben.imp_meas_present['no measure']['risk'], 6.51220115756442e+09, places=3) self.assertAlmostEqual(cost_ben.imp_meas_present['Mangroves']['risk'], 4.850407096284983e+09, places=3) self.assertAlmostEqual( cost_ben.imp_meas_present['Beach nourishment']['risk'], 5.188921355413834e+09, places=3) self.assertAlmostEqual(cost_ben.imp_meas_present['Seawall']['risk'], 4.736400526119911e+09, places=3) self.assertAlmostEqual( cost_ben.imp_meas_present['Building code']['risk'], 4.884150868173321e+09, places=3) self.assertAlmostEqual(cost_ben.imp_meas_future['no measure']['risk'], 5.9506659786664024e+10, places=3) self.assertAlmostEqual(cost_ben.imp_meas_future['Mangroves']['risk'], 4.826231151473135e+10, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['Beach nourishment']['risk'], 5.0647250923231674e+10, places=3) self.assertAlmostEqual(cost_ben.imp_meas_future['Seawall']['risk'], 21089567135.7345, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['Building code']['risk'], 4.462999483999791e+10, places=3) self.assertAlmostEqual(cost_ben.benefit['Mangroves'], 113345027690.81276, places=3) self.assertAlmostEqual(cost_ben.benefit['Beach nourishment'], 89444869971.53653, places=3) self.assertAlmostEqual(cost_ben.benefit['Seawall'], 347977469896.1333, places=3) self.assertAlmostEqual(cost_ben.benefit['Building code'], 144216478822.05154, places=3) self.assertAlmostEqual(cost_ben.cost_ben_ratio['Mangroves'], 0.011573232523528404) self.assertAlmostEqual(cost_ben.cost_ben_ratio['Beach nourishment'], 0.01931916274851638) self.assertAlmostEqual(cost_ben.cost_ben_ratio['Seawall'], 0.025515385913577368) self.assertAlmostEqual(cost_ben.cost_ben_ratio['Building code'], 0.06379298728650741) self.assertAlmostEqual(cost_ben.tot_climate_risk, 576865915288.2021, places=3)