def test_calc_no_change_pass(self): """Test calc without future change""" hazard = Hazard('TC') hazard.read_mat(HAZ_TEST_MAT) entity = Entity() entity.read_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.assertEqual(cost_ben.cost_ben_ratio['Mangroves'], 0.04230714690616641) self.assertEqual(cost_ben.cost_ben_ratio['Beach nourishment'], 0.06998836431681373) self.assertEqual(cost_ben.cost_ben_ratio['Seawall'], 0.2679741183248266) self.assertEqual(cost_ben.cost_ben_ratio['Building code'], 0.30286828677985717) self.assertEqual(cost_ben.benefit['Mangroves'], 3.100583368954022e+10) self.assertEqual(cost_ben.benefit['Beach nourishment'], 2.468981832719974e+10) self.assertEqual(cost_ben.benefit['Seawall'], 3.3132973770502796e+10) self.assertEqual(cost_ben.benefit['Building code'], 3.0376240767284798e+10) self.assertEqual(cost_ben.tot_climate_risk, 1.2150496306913972e+11)
def test_remove_measure(self): """Test remove_measure method""" hazard = Hazard('TC') hazard.read_mat(HAZ_TEST_MAT) entity = Entity() entity.read_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_combine_current_pass(self): """ Test combine_measures with only future""" hazard = Hazard('TC') hazard.read_mat(HAZ_TEST_MAT) entity = Entity() entity.read_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) self.assertAlmostEqual(new_cb.cost_ben_ratio[new_name], 0.19679962474434248)
def test_calc_change_pass(self): """Test calc with future change""" # present hazard = Hazard('TC') hazard.read_mat(HAZ_TEST_MAT) entity = Entity() entity.read_excel(ENT_DEMO_TODAY) entity.exposures.rename(columns={'if_': 'if_TC'}, inplace=True) entity.check() entity.exposures.ref_year = 2018 # future ent_future = Entity() ent_future.read_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.assertEqual(cost_ben.tot_climate_risk, 5.768659152882021e+11) self.assertEqual(cost_ben.imp_meas_present['no measure']['risk'], 6.51220115756442e+09) self.assertEqual(cost_ben.imp_meas_present['Mangroves']['risk'], 4.850407096284983e+09) self.assertEqual(cost_ben.imp_meas_present['Beach nourishment']['risk'], 5.188921355413834e+09) self.assertEqual(cost_ben.imp_meas_present['Seawall']['risk'], 4.736400526119911e+09) self.assertEqual(cost_ben.imp_meas_present['Building code']['risk'], 4.884150868173321e+09) self.assertEqual(cost_ben.imp_meas_future['no measure']['risk'], 5.9506659786664024e+10) self.assertEqual(cost_ben.imp_meas_future['Mangroves']['risk'], 4.826231151473135e+10) self.assertEqual(cost_ben.imp_meas_future['Beach nourishment']['risk'], 5.0647250923231674e+10) self.assertEqual(cost_ben.imp_meas_future['Seawall']['risk'], 21089567135.7345) self.assertEqual(cost_ben.imp_meas_future['Building code']['risk'], 4.462999483999791e+10) self.assertAlmostEqual(cost_ben.benefit['Mangroves'], 113345027690.81276) self.assertAlmostEqual(cost_ben.benefit['Beach nourishment'], 89444869971.53653) self.assertAlmostEqual(cost_ben.benefit['Seawall'], 347977469896.1333) self.assertAlmostEqual(cost_ben.benefit['Building code'], 144216478822.05154) 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.assertEqual(cost_ben.tot_climate_risk, 576865915288.2021)
def test_calc_change_pass(self): """Test calc with future change""" # present hazard = Hazard('TC') hazard.read_mat(HAZ_TEST_MAT) entity = Entity() entity.read_excel(ENT_DEMO_TODAY) entity.exposures.rename(columns={'if_': 'if_TC'}, inplace=True) entity.check() entity.exposures.ref_year = 2018 # future ent_future = Entity() ent_future.read_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.assertEqual(cost_ben.tot_climate_risk, 5.768659152882021e+11) self.assertEqual(cost_ben.imp_meas_present['no measure']['risk'], 6.51220115756442e+09) self.assertEqual(cost_ben.imp_meas_present['Mangroves']['risk'], 4.850407096284983e+09) self.assertEqual( cost_ben.imp_meas_present['Beach nourishment']['risk'], 5.188921355413834e+09) self.assertEqual(cost_ben.imp_meas_present['Seawall']['risk'], 4.736400526119911e+09) self.assertEqual(cost_ben.imp_meas_present['Building code']['risk'], 4.884150868173321e+09) self.assertEqual(cost_ben.imp_meas_future['no measure']['risk'], 5.9506659786664024e+10) self.assertEqual(cost_ben.imp_meas_future['Mangroves']['risk'], 4.826231151473135e+10) self.assertEqual(cost_ben.imp_meas_future['Beach nourishment']['risk'], 5.0647250923231674e+10) self.assertEqual(cost_ben.imp_meas_future['Seawall']['risk'], 21089567135.7345) self.assertEqual(cost_ben.imp_meas_future['Building code']['risk'], 4.462999483999791e+10)
def test_apply_transf_future_pass(self): """ Test apply_risk_transfer with present and future """ hazard = Hazard('TC') hazard.read_mat(HAZ_TEST_MAT) entity = Entity() entity.read_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) 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) self.assertAlmostEqual(new_cb.benefit[tr_name], 69715165679.7042, 4) # benefit = impact layer self.assertAlmostEqual(new_cb.cost_ben_ratio[tr_name], 1)
def _map_costben_calc(self, param_sample, **kwargs): """ Map to compute cost benefit for all parameter samples in parallel Parameters ---------- param_sample : pd.DataFrame.iterrows() Generator of the parameter samples Returns ------- : list icost benefit metrics list for all samples containing imp_meas_present, imp_meas_future, tot_climate_risk, benefit, cost_ben_ratio """ # [1] only the rows of the dataframe passed by pd.DataFrame.iterrows() haz_samples = param_sample[1][self.unc_vars['haz'].labels].to_dict() ent_samples = param_sample[1][self.unc_vars['ent'].labels].to_dict() haz_fut_samples = param_sample[1][ self.unc_vars['haz_fut'].labels].to_dict() ent_fut_samples = param_sample[1][ self.unc_vars['ent_fut'].labels].to_dict() haz = self.unc_vars['haz'].uncvar_func(**haz_samples) ent = self.unc_vars['ent'].uncvar_func(**ent_samples) haz_fut = self.unc_vars['haz_fut'].uncvar_func(**haz_fut_samples) ent_fut = self.unc_vars['ent_fut'].uncvar_func(**ent_fut_samples) cb = CostBenefit() cb.calc(hazard=haz, entity=ent, haz_future=haz_fut, ent_future=ent_fut, save_imp=False, **kwargs) # Extract from climada.impact the chosen metrics return [ cb.imp_meas_present, cb.imp_meas_future, cb.tot_climate_risk, cb.benefit, cb.cost_ben_ratio ]