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_read_mat(self): """Read entity from mat file produced by climada.""" entity_mat = Entity() entity_mat.read_mat(ENT_TEST_MAT) self.assertEqual(entity_mat.exposures.tag.file_name, ENT_TEST_MAT) self.assertEqual(entity_mat.disc_rates.tag.file_name, ENT_TEST_MAT) self.assertEqual(entity_mat.measures.tag.file_name, ENT_TEST_MAT) self.assertEqual(entity_mat.impact_funcs.tag.file_name, ENT_TEST_MAT)
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_calc_impact_transf_pass(self): """ Test calc_impact method: apply all measures and insurance """ hazard = Hazard('TC') hazard.read_mat(HAZ_TEST_MAT) entity = Entity() entity.read_mat(ENT_TEST_MAT) entity.exposures.rename(columns={'if_': 'if_TC'}, inplace=True) entity.measures._data['TC'] = entity.measures._data.pop('XX') for meas in entity.measures.get_measure('TC'): meas.haz_type = 'TC' meas = entity.measures.get_measure(name='Beach nourishment', haz_type='TC') meas.haz_type = 'TC' meas.hazard_inten_imp = (1, 0) meas.mdd_impact = (1, 0) meas.paa_impact = (1, 0) meas.risk_transf_attach = 5.0e8 meas.risk_transf_cover = 1.0e9 entity.check() imp, risk_transf = entity.measures.get_measure( name='Beach nourishment', haz_type='TC').calc_impact(entity.exposures, entity.impact_funcs, hazard) self.assertAlmostEqual(imp.aai_agg, 6.280804242609713e+09) self.assertAlmostEqual(imp.at_event[0], 0) self.assertAlmostEqual(imp.at_event[12], 8.648764833437817e+07) self.assertAlmostEqual(imp.at_event[41], 500000000) self.assertAlmostEqual(imp.at_event[11890], 6.498096646836635e+07) self.assertTrue( np.array_equal(imp.coord_exp[:, 0], entity.exposures.latitude)) self.assertTrue( np.array_equal(imp.coord_exp[:, 1], entity.exposures.longitude)) self.assertTrue(np.array_equal(imp.eai_exp, np.array([]))) self.assertAlmostEqual(imp.tot_value, 6.570532945599105e+11) self.assertEqual(imp.unit, 'USD') self.assertEqual(imp.imp_mat, []) self.assertTrue(np.array_equal(imp.event_id, hazard.event_id)) self.assertTrue(np.array_equal(imp.date, hazard.date)) self.assertEqual(imp.event_name, hazard.event_name) self.assertEqual(imp.tag['exp'].file_name, entity.exposures.tag.file_name) self.assertEqual(imp.tag['haz'].file_name, hazard.tag.file_name) self.assertEqual(imp.tag['if_set'].file_name, entity.impact_funcs.tag.file_name) self.assertEqual(risk_transf, 2.3139691495470852e+08)
def test_calc_impact_pass(self): """Test calc_impact method: apply all measures but insurance""" hazard = Hazard('TC') hazard.read_mat(HAZ_TEST_MAT) entity = Entity() entity.read_mat(ENT_TEST_MAT) entity.exposures.gdf.rename(columns={'if_': 'if_TC'}, inplace=True) entity.measures._data['TC'] = entity.measures._data.pop('XX') entity.measures.get_measure(name='Mangroves', haz_type='TC').haz_type = 'TC' for meas in entity.measures.get_measure('TC'): meas.haz_type = 'TC' entity.check() imp, risk_transf = entity.measures.get_measure( 'TC', 'Mangroves').calc_impact(entity.exposures, entity.impact_funcs, hazard) self.assertAlmostEqual(imp.aai_agg, 4.850407096284983e+09) self.assertAlmostEqual(imp.at_event[0], 0) self.assertAlmostEqual(imp.at_event[12], 1.470194187501225e+07) self.assertAlmostEqual(imp.at_event[41], 4.7226357936631286e+08) self.assertAlmostEqual(imp.at_event[11890], 1.742110428135755e+07) self.assertTrue( np.array_equal(imp.coord_exp[:, 0], entity.exposures.gdf.latitude)) self.assertTrue( np.array_equal(imp.coord_exp[:, 1], entity.exposures.gdf.longitude)) self.assertAlmostEqual(imp.eai_exp[0], 1.15677655725858e+08) self.assertAlmostEqual(imp.eai_exp[-1], 7.528669956120645e+07) self.assertAlmostEqual(imp.tot_value, 6.570532945599105e+11) self.assertEqual(imp.unit, 'USD') self.assertEqual(imp.imp_mat.shape, (0, 0)) self.assertTrue(np.array_equal(imp.event_id, hazard.event_id)) self.assertTrue(np.array_equal(imp.date, hazard.date)) self.assertEqual(imp.event_name, hazard.event_name) self.assertEqual(imp.tag['exp'].file_name, entity.exposures.tag.file_name) self.assertEqual(imp.tag['haz'].file_name, hazard.tag.file_name) self.assertEqual(imp.tag['if_set'].file_name, entity.impact_funcs.tag.file_name) self.assertEqual(risk_transf.aai_agg, 0)
def test_apply_ref_pass(self): """Test apply method: apply all measures but insurance""" hazard = Hazard('TC') hazard.read_mat(HAZ_TEST_MAT) hazard.haz_type = 'TC' 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() new_exp, new_ifs, new_haz = entity.measures.get_measure('TC', 'Mangroves').apply(entity.exposures, entity.impact_funcs, hazard) self.assertTrue(new_exp is entity.exposures) self.assertTrue(new_haz is hazard) self.assertFalse(new_ifs is entity.impact_funcs) new_imp = new_ifs.get_func('TC')[0] self.assertTrue(np.array_equal(new_imp.intensity, np.array([4., 24., 34., 44., 54., 64., 74., 84., 104.]))) self.assertTrue(np.allclose(new_imp.mdd, np.array([0, 0, 0.021857142857143, 0.035887500000000, 0.053977415307403, 0.103534246575342, 0.180414000000000, 0.410796000000000, 0.410796000000000]))) self.assertTrue(np.allclose(new_imp.paa, np.array([0, 0.005000000000000, 0.042000000000000, 0.160000000000000, 0.398500000000000, 0.657000000000000, 1.000000000000000, 1.000000000000000, 1.000000000000000]))) new_imp = new_ifs.get_func('TC')[1] self.assertTrue(np.array_equal(new_imp.intensity, np.array([4., 24., 34., 44., 54., 64., 74., 84., 104.]))) self.assertTrue(np.allclose(new_imp.mdd, np.array([0, 0, 0, 0.025000000000000, 0.054054054054054, 0.104615384615385, 0.211764705882353, 0.400000000000000, 0.400000000000000]))) self.assertTrue(np.allclose(new_imp.paa, np.array([0, 0.004000000000000, 0, 0.160000000000000, 0.370000000000000, 0.650000000000000, 0.850000000000000, 1.000000000000000, 1.000000000000000])))
def test_calc_impact_measures_pass(self): """Test _calc_impact_measures against reference value""" self.assertTrue(HAZ_TEST_MAT.is_file(), "{} is not a file".format(HAZ_TEST_MAT)) hazard = Hazard('TC') hazard.read_mat(HAZ_TEST_MAT) self.assertTrue(ENT_TEST_MAT.is_file(), "{} is not a file".format(ENT_TEST_MAT)) entity = Entity() entity.read_mat(ENT_TEST_MAT) entity.check() 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) self.assertEqual(cost_ben.imp_meas_present, dict()) self.assertEqual(cost_ben.cost_ben_ratio, dict()) self.assertEqual(cost_ben.benefit, dict()) self.assertEqual(cost_ben.tot_climate_risk, 0.0) self.assertEqual(cost_ben.present_year, 2016) self.assertEqual(cost_ben.future_year, 2030) self.assertEqual(cost_ben.imp_meas_future['no measure']['cost'], (0, 0)) self.assertAlmostEqual(cost_ben.imp_meas_future['no measure']['risk'], 6.51220115756442e+09, places=3) new_efc = cost_ben.imp_meas_future['no measure'][ 'impact'].calc_freq_curve() self.assertTrue( np.allclose( new_efc.return_per, cost_ben.imp_meas_future['no measure']['efc'].return_per)) self.assertTrue( np.allclose(new_efc.impact, cost_ben.imp_meas_future['no measure']['efc'].impact)) self.assertEqual( cost_ben.imp_meas_future['no measure'] ['impact'].at_event.nonzero()[0].size, 841) self.assertAlmostEqual( cost_ben.imp_meas_future['no measure']['impact'].at_event[14082], 8.801682862431524e+06, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['no measure']['impact'].tot_value, 6.570532945599105e+11, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['no measure']['impact'].aai_agg, 6.51220115756442e+09, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['Mangroves']['cost'][0], 1.3117683608515418e+09, places=3) self.assertEqual(cost_ben.imp_meas_future['Mangroves']['cost'][1], 1) self.assertAlmostEqual(cost_ben.imp_meas_future['Mangroves']['risk'], 4.850407096284983e+09, places=3) new_efc = cost_ben.imp_meas_future['Mangroves'][ 'impact'].calc_freq_curve() self.assertTrue( np.allclose( new_efc.return_per, cost_ben.imp_meas_future['Mangroves']['efc'].return_per)) self.assertTrue( np.allclose(new_efc.impact, cost_ben.imp_meas_future['Mangroves']['efc'].impact)) self.assertEqual( cost_ben.imp_meas_future['Mangroves']['impact'].at_event.nonzero() [0].size, 665) self.assertAlmostEqual( cost_ben.imp_meas_future['Mangroves']['impact'].at_event[13901], 1.29576562770977e+09, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['Mangroves']['impact'].tot_value, 6.570532945599105e+11, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['Mangroves']['impact'].aai_agg, 4.850407096284983e+09, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['Beach nourishment']['cost'][0], 1.728000000000000e+09, places=3) self.assertEqual( cost_ben.imp_meas_future['Beach nourishment']['cost'][1], 1) self.assertAlmostEqual( cost_ben.imp_meas_future['Beach nourishment']['risk'], 5.188921355413834e+09, places=3) new_efc = cost_ben.imp_meas_future['Beach nourishment'][ 'impact'].calc_freq_curve() self.assertTrue( np.allclose( new_efc.return_per, cost_ben.imp_meas_future['Beach nourishment'] ['efc'].return_per)) self.assertTrue( np.allclose( new_efc.impact, cost_ben.imp_meas_future['Beach nourishment']['efc'].impact)) self.assertEqual( cost_ben.imp_meas_future['Beach nourishment'] ['impact'].at_event.nonzero()[0].size, 702) self.assertEqual( cost_ben.imp_meas_future['Beach nourishment'] ['impact'].at_event[1110], 0.0) self.assertAlmostEqual( cost_ben.imp_meas_future['Beach nourishment']['impact'].eai_exp[5], 1.1133679079730146e+08, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['Beach nourishment']['impact'].tot_value, 6.570532945599105e+11, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['Beach nourishment']['impact'].aai_agg, 5.188921355413834e+09, places=3) self.assertAlmostEqual(cost_ben.imp_meas_future['Seawall']['cost'][0], 8.878779433630093e+09, places=3) self.assertEqual(cost_ben.imp_meas_future['Seawall']['cost'][1], 1) self.assertAlmostEqual(cost_ben.imp_meas_future['Seawall']['risk'], 4.736400526119911e+09, places=3) new_efc = cost_ben.imp_meas_future['Seawall'][ 'impact'].calc_freq_curve() self.assertTrue( np.allclose(new_efc.return_per, cost_ben.imp_meas_future['Seawall']['efc'].return_per)) self.assertTrue( np.allclose(new_efc.impact, cost_ben.imp_meas_future['Seawall']['efc'].impact)) self.assertEqual( cost_ben.imp_meas_future['Seawall']['impact'].at_event.nonzero() [0].size, 73) self.assertEqual( cost_ben.imp_meas_future['Seawall']['impact'].at_event[1229], 0.0) self.assertAlmostEqual( cost_ben.imp_meas_future['Seawall']['impact'].tot_value, 6.570532945599105e+11, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['Seawall']['impact'].aai_agg, 4.736400526119911e+09, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['Building code']['cost'][0], 9.200000000000000e+09, places=3) self.assertEqual(cost_ben.imp_meas_future['Building code']['cost'][1], 1) self.assertAlmostEqual( cost_ben.imp_meas_future['Building code']['risk'], 4.884150868173321e+09, places=3) new_efc = cost_ben.imp_meas_future['Building code'][ 'impact'].calc_freq_curve() self.assertTrue( np.allclose( new_efc.return_per, cost_ben.imp_meas_future['Building code']['efc'].return_per)) self.assertTrue( np.allclose( new_efc.impact, cost_ben.imp_meas_future['Building code']['efc'].impact)) self.assertEqual( cost_ben.imp_meas_future['Building code'] ['impact'].at_event.nonzero()[0].size, 841) self.assertEqual( cost_ben.imp_meas_future['Building code']['impact'].at_event[122], 0.0) self.assertAlmostEqual( cost_ben.imp_meas_future['Building code']['impact'].eai_exp[11], 7.757060129393841e+07, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['Building code']['impact'].tot_value, 6.570532945599105e+11, places=3) self.assertAlmostEqual( cost_ben.imp_meas_future['Building code']['impact'].aai_agg, 4.884150868173321e+09, places=3)