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
]
