def test_parse_portfolio(self):
lines = portfolio_builder.parse_input(self.exposure_path)
parameters = portfolio_builder.buildings_counter(lines)
number_categories = parameters[0]
number_assets = parameters[1]
self.assertEqual(number_categories, 2)
self.assertEqual(number_assets, [7, 4])
import demand_calculations
import damage_allocator
import fit_curve
# COMPUTE THE SPECTRA BASED ON A SET OF ACCELEROGRAMS
minPeriod = 0.05
maxPeriod = 10.0
step = 0.04
damping = 0.05
spectraPeriods = demand_calculations.compute_spectra_periods(minPeriod,maxPeriod,step)
spectraDisp = demand_calculations.compute_spectra(minPeriod,maxPeriod,step,damping,ACCELEROGRAMS,SPECTRA)
numberAccs = len(spectraDisp)
print 'Spectra produced'
# READ THE PORFOLIO OF BUILDINGS
lines = portfolio_builder.parse_input(EXPOSURE)
assets_count = portfolio_builder.buildings_counter(lines)
number_categories = int(assets_count[0])
number_assets = assets_count[1]
# CREATE THE VECTOR FOR THE DAMAGE STATES AND BETA FOR INFILLED FRAMES
damageStates= numarray.zeros(4)
IMTs=['PGA','PGV','Sa03','Saelastic']
elasticPeriods = []
betas = [0.52, 0.46, 0.28]
# COMPUTE THE DISPLACAMENT FOR EACH BUILDING
for asset_category in range(number_categories):
for asset in range(number_assets[asset_category]):
data = portfolio_builder.create_asset(lines[asset_category])