def test_cb_one_meas_fut_pass(self): """Test _cost_ben_one with same future""" meas_name = 'Mangroves' meas_val = dict() meas_val['cost'] = (1.3117683608515418e+09, 1) meas_val['risk'] = 4.850407096284983e+09 meas_val['efc'] = None meas_val['risk_transf'] = 0 cb = CostBenefit() cb.present_year = 2018 cb.future_year = 2040 cb.imp_meas_future['no measure'] = dict() cb.imp_meas_future['no measure']['risk'] = 6.51220115756442e+09 disc_rates = DiscRates() disc_rates.years = np.arange(2000, 2051) disc_rates.rates = np.ones(disc_rates.years.size) * 0.02 time_dep = cb._time_dependency_array() cb._cost_ben_one(meas_name, meas_val, disc_rates, time_dep) self.assertAlmostEqual(cb.benefit[meas_name], 3.100583368954022e+10, places=3) self.assertAlmostEqual(cb.cost_ben_ratio[meas_name], 0.04230714690616641)
def test_cb_one_meas_pres_pass(self): """Test _cost_ben_one with different future""" meas_name = 'Mangroves' meas_val = dict() meas_val['cost'] = (1.3117683608515418e+09, 1) meas_val['risk'] = 4.826231151473135e+10 meas_val['efc'] = None meas_val['risk_transf'] = 0 cb = CostBenefit() cb.present_year = 2018 cb.future_year = 2040 cb.imp_meas_present['no measure'] = dict() cb.imp_meas_present['no measure']['risk'] = 6.51220115756442e+09 cb.imp_meas_present['Mangroves'] = dict() cb.imp_meas_present['Mangroves']['risk'] = 4.850407096284983e+09 cb.imp_meas_present['Mangroves']['risk_transf'] = 0 cb.imp_meas_future['no measure'] = dict() cb.imp_meas_future['no measure']['risk'] = 5.9506659786664024e+10 disc_rates = DiscRates() disc_rates.years = np.arange(2016, 2051) disc_rates.rates = np.ones(disc_rates.years.size) * 0.02 time_dep = cb._time_dependency_array(1) cb._cost_ben_one(meas_name, meas_val, disc_rates, time_dep) self.assertAlmostEqual(cb.benefit[meas_name], 113345027690.81276, places=3) self.assertAlmostEqual(cb.cost_ben_ratio[meas_name], 0.011573232523528404)
def test_calc_cb_no_change_pass(self): """Test _calc_cost_benefit without present value against reference value""" hazard = Hazard('TC') hazard.read_mat(HAZ_TEST_MAT) entity = Entity() entity.read_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='future', risk_func=risk_aai_agg, save_imp=True) cost_ben.present_year = 2018 cost_ben.future_year = 2040 cost_ben._calc_cost_benefit(entity.disc_rates) 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_calc_cb_change_pass(self): """Test _calc_cost_benefit with present value against reference value""" hazard = Hazard('TC') hazard.read_mat(HAZ_TEST_MAT) entity = Entity() entity.read_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() ent_future.read_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.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_time_array_no_pres_pass(self): """Test _time_dependency_array""" cb = CostBenefit() cb.present_year = 2018 cb.future_year = 2030 time_arr = cb._time_dependency_array() n_years = cb.future_year - cb.present_year + 1 self.assertEqual(time_arr.size, n_years) self.assertTrue(np.array_equal(time_arr, np.ones(n_years)))
def test_npv_unaverted_no_pres_pass(self): """ Test _npv_unaverted_impact """ cb = CostBenefit() cb.present_year = 2018 cb.future_year = 2030 risk_future = 1000 disc_rates = DiscRates() disc_rates.years = np.arange(cb.present_year, cb.future_year+1) disc_rates.rates = np.ones(disc_rates.years.size)*0.025 time_dep = np.linspace(0, 1, disc_rates.years.size) res = cb._npv_unaverted_impact(risk_future, disc_rates, time_dep, risk_present=None) self.assertEqual(res, disc_rates.net_present_value(cb.present_year, \ cb.future_year, time_dep * risk_future))
def test_time_array_pres_pass(self): """ Test _time_dependency_array """ cb = CostBenefit() cb.present_year = 2018 cb.future_year = 2030 imp_time_depen = 1.0 time_arr = cb._time_dependency_array(imp_time_depen) n_years = cb.future_year - cb.present_year + 1 self.assertEqual(time_arr.size, n_years) self.assertTrue(np.allclose(time_arr[:-1], np.arange(0, 1, 1/(n_years-1)))) self.assertEqual(time_arr[-1], 1) imp_time_depen = 0.5 time_arr = cb._time_dependency_array(imp_time_depen) n_years = cb.future_year - cb.present_year + 1 self.assertEqual(time_arr.size, n_years) self.assertTrue(np.allclose(time_arr, np.arange(n_years)**imp_time_depen / \ (n_years-1)**imp_time_depen))