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_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_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))