def test_compute_demand_disp(self):
disp = demand_calculations.compute_demand_displacement([1.5,2.0,3.0],[[0.5,1.5],[1.5,2.5],[2.5,3.5]],[1.5,2.5],0.05,self.accs_path,'Bare_Frame',[1,2,3])
self.assertTrue(numpy.allclose(disp[0][0],0.5*1.8478728707195915))
self.assertTrue(numpy.allclose(disp[2][2],0.0549817*1.7960957613183324,atol=0.001))
data.append(es_ls2)
data.append(es_ls3)
data.append(betas)
# print data
collapse_type = capacity_calculations.compute_collapse_type(data)
collapse_type = 'Beam Sway'
#Compute capacity displacement
capacityDisp = capacity_calculations.compute_disps(data,collapse_type)
ductilities = capacity_calculations.compute_ductility(capacityDisp)
periods = capacity_calculations.compute_periods(data,ductilities)
elasticPeriods.append(periods[0])
#Compute demand displacement
demandDisp = demand_calculations.compute_demand_displacement(data,periods,spectraDisp,spectraPeriods,damping,ACCELEROGRAMS,ductilities)
DSpositions = damage_allocator.damage_state_position(capacityDisp, demandDisp)
damageStates=damageStates+DSpositions
print capacityDisp
# print demandDisp
# print ductilities
# print periods
# Compute the imls for each accelerogram
imlDamageStates = demand_calculations.compute_imls_damage_states(elasticPeriods,ACCELEROGRAMS,IMTs,IMTVALUES)
# Compute the best logarithmic mean and standard deviation for each curve
fit_curve.compute_best_curves(imlDamageStates,damageStates,IMTs)
# Compute statistics for each fragility curve
setIMLs,LS1PEs,LS2PEs,LS3PEs = fit_curve.generate_synthetic_datasets(imlDamageStates,damageStates,5)
