def test_compute_bcr(self):
# numbers are proven to be correct
eal_orig = 0.00838
eal_retrofitted = 0.00587
retrofitting_cost = 0.1
interest = 0.05
life_expectancy = 40
expected_result = 0.43405
result = bcr(eal_orig, eal_retrofitted, interest,
life_expectancy, retrofitting_cost)
self.assertAlmostEqual(result, expected_result, delta=2e-5)
def __call__(self, asset, hazard):
annual_loss_original = scientific.mean_loss(
self.lcc_original(asset, hazard).loss_curve)
annual_loss_retrofitted = scientific.mean_loss(
self.lcc_retrofitted(asset, hazard).loss_curve)
bcr = scientific.bcr(
annual_loss_original,
annual_loss_retrofitted, self.interest_rate,
self.asset_life_expectancy, asset.retrofitting_cost)
return scientific.BCROutput(
asset, bcr, annual_loss_original, annual_loss_retrofitted)