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uiuc150bus_verified.jl
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using PowerModelsGMDLib
const _PMGLib = PowerModelsGMDLib
using PowerModelsGMD
const _PMG = PowerModelsGMD
import InfrastructureModels
const _IM = InfrastructureModels
import PowerModels
const _PM = PowerModels
import JSON
import JuMP
import Ipopt
import Juniper
import LinearAlgebra
import SparseArrays
using Test
using GZip
import Memento
Memento.setlevel!(Memento.getlogger(_PMG), "error")
Memento.setlevel!(Memento.getlogger(_IM), "error")
Memento.setlevel!(Memento.getlogger(_PM), "error")
_PMG.logger_config!("error")
const TESTLOG = Memento.getlogger(_PMG)
Memento.setlevel!(TESTLOG, "error")
ipopt_solver = JuMP.optimizer_with_attributes(Ipopt.Optimizer, "tol" => 1e-4, "print_level" => 0, "sb" => "yes")
juniper_solver = JuMP.optimizer_with_attributes(Juniper.Optimizer, "nl_solver" => _PM.optimizer_with_attributes(Ipopt.Optimizer, "tol" => 1e-4, "print_level" => 0, "sb" => "yes"), "log_levels" => [])
setting = Dict{String,Any}("output" => Dict{String,Any}("branch_flows" => true))
file = "../data/verified_cases/150Bus/uiuc150bus.m.gz"
case = _PMGLib.parse_file(file)
_PMG.add_gmd_3w_branch!(case)
sol= _PMG.solve_gmd(case) # linear solver
# sol= _PMG.solve_gmd(case, ipopt_solver; setting=setting) # for opt solver
high_error = 1e-2 # abs(value) >= .0001
low_error = 1 # abs(value) < .0001
@testset "verified UIUC 150-bus solve of GMD" begin
@testset "dc bus voltage" begin
@test isapprox(sol["solution"]["gmd_bus"]["1"]["gmd_vdc"], 0.00022622, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["2"]["gmd_vdc"], 0.00065024, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["3"]["gmd_vdc"], 0.00012194, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["4"]["gmd_vdc"], 0.00011368, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["5"]["gmd_vdc"], 9.566e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["6"]["gmd_vdc"], 1.824e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["7"]["gmd_vdc"], -2.35334492, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["8"]["gmd_vdc"], -6.024e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["9"]["gmd_vdc"], 0.00021886, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["10"]["gmd_vdc"], -4.37385035, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["11"]["gmd_vdc"], -7.955e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["12"]["gmd_vdc"], 9.479e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["13"]["gmd_vdc"], 0.78162593, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["14"]["gmd_vdc"], 0.00014952, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["15"]["gmd_vdc"], 9.75e-06, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["16"]["gmd_vdc"], 6.116e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["17"]["gmd_vdc"], 0.00021291, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["18"]["gmd_vdc"], 8.05e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["19"]["gmd_vdc"], -0.00023839, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["20"]["gmd_vdc"], 7.87e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["21"]["gmd_vdc"], 6.70529366, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["22"]["gmd_vdc"], -2.08441067, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["23"]["gmd_vdc"], -0.00035673, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["24"]["gmd_vdc"], 0.00035798, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["25"]["gmd_vdc"], -4.535e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["26"]["gmd_vdc"], -7.05804253, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["27"]["gmd_vdc"], 0.00011996, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["28"]["gmd_vdc"], 0.0001449, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["29"]["gmd_vdc"], 5.891e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["30"]["gmd_vdc"], -0.00045311, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["31"]["gmd_vdc"], 0.0001456, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["32"]["gmd_vdc"], 2.83091116, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["33"]["gmd_vdc"], 0.00054064, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["34"]["gmd_vdc"], 0.00017589, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["35"]["gmd_vdc"], 0.00131387, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["36"]["gmd_vdc"], 0.00016195, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["37"]["gmd_vdc"], -1.174e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["38"]["gmd_vdc"], -0.0003787, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["39"]["gmd_vdc"], 0.22502033, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["40"]["gmd_vdc"], -3.834e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["41"]["gmd_vdc"], 0.00057859, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["42"]["gmd_vdc"], 17.26951599, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["43"]["gmd_vdc"], 0.00013689, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["44"]["gmd_vdc"], 26.2484169, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["45"]["gmd_vdc"], 0.00014133, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["46"]["gmd_vdc"], 0.00039491, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["47"]["gmd_vdc"], 0.00130266, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["48"]["gmd_vdc"], 4.81147814, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["49"]["gmd_vdc"], -0.00011063, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["50"]["gmd_vdc"], 6.738e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["51"]["gmd_vdc"], 0.00021104, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["52"]["gmd_vdc"], 2.904e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["53"]["gmd_vdc"], 1.25624669, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["54"]["gmd_vdc"], -0.00023006, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["55"]["gmd_vdc"], 6.012e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["56"]["gmd_vdc"], 6e-08, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["57"]["gmd_vdc"], -5.827e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["58"]["gmd_vdc"], -0.00011529, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["59"]["gmd_vdc"], 0.0001208, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["60"]["gmd_vdc"], 0.00049024, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["61"]["gmd_vdc"], 0.00013854, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["62"]["gmd_vdc"], 3.4513824, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["63"]["gmd_vdc"], 2.34663939, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["64"]["gmd_vdc"], -0.00057426, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["65"]["gmd_vdc"], -0.00027211, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["66"]["gmd_vdc"], -0.00054474, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["67"]["gmd_vdc"], -0.00112558, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["68"]["gmd_vdc"], -0.00015851, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["69"]["gmd_vdc"], -6.033e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["70"]["gmd_vdc"], -12.21193886, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["71"]["gmd_vdc"], -0.00011494, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["72"]["gmd_vdc"], -0.00091538, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["73"]["gmd_vdc"], -0.00045957, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["74"]["gmd_vdc"], -0.00076515, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["75"]["gmd_vdc"], -0.00068416, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["76"]["gmd_vdc"], -0.00087777, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["77"]["gmd_vdc"], -0.00059755, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["78"]["gmd_vdc"], -23.86028099, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["79"]["gmd_vdc"], -0.00040494, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["80"]["gmd_vdc"], -0.00057975, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["81"]["gmd_vdc"], -0.00030043, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["82"]["gmd_vdc"], -0.00025837, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["83"]["gmd_vdc"], -0.00037203, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["84"]["gmd_vdc"], -0.00075847, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["85"]["gmd_vdc"], -7.47914076, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["86"]["gmd_vdc"], 9.277e-05, rtol=low_error)
@test isapprox(sol["solution"]["gmd_bus"]["87"]["gmd_vdc"], 0.00012024, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["88"]["gmd_vdc"], 0.000239, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["89"]["gmd_vdc"], 6.8858695, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["90"]["gmd_vdc"], 0.00101129, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["91"]["gmd_vdc"], 14.07813358, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["92"]["gmd_vdc"], 3.82842588, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["93"]["gmd_vdc"], -16.03377342, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["94"]["gmd_vdc"], -7.68851376, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["95"]["gmd_vdc"], -9.51236916, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["96"]["gmd_vdc"], 7.80237103, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["97"]["gmd_vdc"], 4.48501635, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["98"]["gmd_vdc"], -3.44951081, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["99"]["gmd_vdc"], -16.03377342, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["100"]["gmd_vdc"], 12.02358437, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["101"]["gmd_vdc"], 34.55973053, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["102"]["gmd_vdc"], 6.48086834, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["103"]["gmd_vdc"], 6.04229784, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["104"]["gmd_vdc"], 5.0843358, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["105"]["gmd_vdc"], 0.96922922, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["106"]["gmd_vdc"], -3.15884876, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["107"]["gmd_vdc"], -3.20154548, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["108"]["gmd_vdc"], 11.63235855, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["109"]["gmd_vdc"], -5.87094069, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["110"]["gmd_vdc"], -4.22798061, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["111"]["gmd_vdc"], 5.0378356, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["112"]["gmd_vdc"], 1.049155, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["113"]["gmd_vdc"], 7.94703293, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["114"]["gmd_vdc"], 0.51824772, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["115"]["gmd_vdc"], 3.25040674, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["116"]["gmd_vdc"], 11.31590843, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["117"]["gmd_vdc"], 4.27848768, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["118"]["gmd_vdc"], -12.6705246, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["119"]["gmd_vdc"], 4.18271971, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["120"]["gmd_vdc"], 7.85284567, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["121"]["gmd_vdc"], -2.79786229, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["122"]["gmd_vdc"], -18.960289, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["123"]["gmd_vdc"], 19.02662468, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["124"]["gmd_vdc"], -2.41011405, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["125"]["gmd_vdc"], -9.47386837, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["126"]["gmd_vdc"], 6.37577772, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["127"]["gmd_vdc"], 7.70148706, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["128"]["gmd_vdc"], 3.13126016, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["129"]["gmd_vdc"], -24.08266449, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["130"]["gmd_vdc"], 7.73861361, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["131"]["gmd_vdc"], 3.7998836, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["132"]["gmd_vdc"], 28.73499107, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["133"]["gmd_vdc"], 9.34862041, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["134"]["gmd_vdc"], 69.83151245, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["135"]["gmd_vdc"], 8.60782814, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["136"]["gmd_vdc"], -0.62391299, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["137"]["gmd_vdc"], -20.12789536, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["138"]["gmd_vdc"], 0.30203515, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["139"]["gmd_vdc"], -2.0377996, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["140"]["gmd_vdc"], 30.75182724, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["141"]["gmd_vdc"], 23.18054008, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["142"]["gmd_vdc"], 7.27572107, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["143"]["gmd_vdc"], 35.23275375, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["144"]["gmd_vdc"], 7.51156139, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["145"]["gmd_vdc"], 20.98940849, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["146"]["gmd_vdc"], 69.23603058, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["147"]["gmd_vdc"], 6.45835543, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["148"]["gmd_vdc"], -5.88004208, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["149"]["gmd_vdc"], 3.58146977, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["150"]["gmd_vdc"], 11.21648693, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["151"]["gmd_vdc"], 1.54329669, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["152"]["gmd_vdc"], 1.6862402, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["153"]["gmd_vdc"], -12.22760296, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["154"]["gmd_vdc"], 3.19554877, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["155"]["gmd_vdc"], 0.00339842, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["156"]["gmd_vdc"], -3.09717321, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["157"]["gmd_vdc"], -6.1276536, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["158"]["gmd_vdc"], 6.42024136, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["159"]["gmd_vdc"], 26.05627441, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["160"]["gmd_vdc"], 7.36324024, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["161"]["gmd_vdc"], 4.63272285, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["162"]["gmd_vdc"], 3.14984941, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["163"]["gmd_vdc"], -30.52169418, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["164"]["gmd_vdc"], -14.46244335, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["165"]["gmd_vdc"], -28.95253754, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["166"]["gmd_vdc"], -59.82399368, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["167"]["gmd_vdc"], -8.42492199, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["168"]["gmd_vdc"], -3.20626545, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["169"]["gmd_vdc"], -16.39185524, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["170"]["gmd_vdc"], -6.10879612, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["171"]["gmd_vdc"], -48.65187836, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["172"]["gmd_vdc"], -24.42574883, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["173"]["gmd_vdc"], -40.66750717, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["174"]["gmd_vdc"], -36.36289215, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["175"]["gmd_vdc"], -46.65300369, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["176"]["gmd_vdc"], -31.75943184, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["177"]["gmd_vdc"], -27.9437561, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["178"]["gmd_vdc"], -21.52240562, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["179"]["gmd_vdc"], -30.81354904, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["180"]["gmd_vdc"], -15.96748734, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["181"]["gmd_vdc"], -13.73213863, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["182"]["gmd_vdc"], -19.77335167, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["183"]["gmd_vdc"], -40.31256866, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["184"]["gmd_vdc"], -10.03910828, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["185"]["gmd_vdc"], 4.93048334, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["186"]["gmd_vdc"], 6.39053202, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["187"]["gmd_vdc"], 12.70293045, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["188"]["gmd_vdc"], 9.24276733, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["189"]["gmd_vdc"], 53.74981308, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["190"]["gmd_vdc"], 7.00079966, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["191"]["gmd_vdc"], 0.43670499, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["192"]["gmd_vdc"], 2.60468578, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["193"]["gmd_vdc"], -13.20588684, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["194"]["gmd_vdc"], -4.64772272, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["195"]["gmd_vdc"], 31.28942299, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["196"]["gmd_vdc"], -5.80835676, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["197"]["gmd_vdc"], -32.74415207, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["198"]["gmd_vdc"], 4.02531242, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["199"]["gmd_vdc"], 8.90824032, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["200"]["gmd_vdc"], -4.72043419, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["201"]["gmd_vdc"], 44.44832993, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["202"]["gmd_vdc"], -19.90348625, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["203"]["gmd_vdc"], 13.60712147, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["204"]["gmd_vdc"], -15.47121048, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["205"]["gmd_vdc"], 2.70549178, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["206"]["gmd_vdc"], 4.12057638, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["207"]["gmd_vdc"], 8.38032246, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["208"]["gmd_vdc"], 14.07813358, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["209"]["gmd_vdc"], 14.07813358, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["210"]["gmd_vdc"], 14.07813358, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["211"]["gmd_vdc"], 3.82842588, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["212"]["gmd_vdc"], 3.82842588, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["213"]["gmd_vdc"], 3.82842588, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["214"]["gmd_vdc"], -16.03377342, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["215"]["gmd_vdc"], -16.03377342, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["216"]["gmd_vdc"], -16.03377342, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["217"]["gmd_vdc"], -16.03377342, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["218"]["gmd_vdc"], -7.68851376, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["219"]["gmd_vdc"], -7.68851376, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["220"]["gmd_vdc"], -7.68851376, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["221"]["gmd_vdc"], -7.68851376, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["222"]["gmd_vdc"], -9.51236916, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["223"]["gmd_vdc"], -9.51236916, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["224"]["gmd_vdc"], -9.51236916, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["225"]["gmd_vdc"], -9.51236916, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["226"]["gmd_vdc"], -9.51236916, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["227"]["gmd_vdc"], 7.80237103, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["228"]["gmd_vdc"], 4.48501635, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["229"]["gmd_vdc"], 4.48501635, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["230"]["gmd_vdc"], 4.48501635, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["231"]["gmd_vdc"], 4.48501635, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["232"]["gmd_vdc"], 4.48501635, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["233"]["gmd_vdc"], -3.44951081, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["234"]["gmd_vdc"], -10.56532764, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["235"]["gmd_vdc"], -10.99717808, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["236"]["gmd_vdc"], -8.16165829, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["237"]["gmd_vdc"], -9.18521786, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["238"]["gmd_vdc"], -7.78137064, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["239"]["gmd_vdc"], 15.38491058, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["240"]["gmd_vdc"], 17.06054306, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["241"]["gmd_vdc"], -16.67617416, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["242"]["gmd_vdc"], -18.19368553, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["243"]["gmd_vdc"], 4.98234892, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["244"]["gmd_vdc"], 4.91192102, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["245"]["gmd_vdc"], 9.7860117, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["246"]["gmd_vdc"], 13.30961132, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["247"]["gmd_vdc"], 4.26220179, rtol=high_error)
@test isapprox(sol["solution"]["gmd_bus"]["248"]["gmd_vdc"], 4.9294982, rtol=high_error)
end
@testset "auto transformers" begin
@test isapprox(sol["solution"]["qloss"]["109"], 9.285175451040768, rtol=high_error) || isapprox(sol["solution"]["qloss"]["109"], 9.125916755673599, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["109"], 8.1105146400, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["99"], 1.8468401219255342, rtol=high_error) || isapprox(sol["solution"]["qloss"]["99"], 1.815010269757902, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["99"], 1.6086819200, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["71"], 5.9776121737992245, rtol=high_error) || isapprox(sol["solution"]["qloss"]["71"], 5.862421130694661, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["71"], 5.1690082600, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["143"], 15.407339155434, rtol=high_error) || isapprox(sol["solution"]["qloss"]["143"], 15.164881936750799, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["143"], 13.3314294800, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["45"], 6.641587427652072, rtol=high_error) || isapprox(sol["solution"]["qloss"]["45"], 6.517133834957424, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["45"], 5.8047637900, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["77"], 37.269437384933966, rtol=high_error) || isapprox(sol["solution"]["qloss"]["77"], 36.65492897552313, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["77"], 32.5034904500, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["24"], 4.220337185166816, rtol=high_error) || isapprox(sol["solution"]["qloss"]["24"], 4.162963934073889, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["24"], 3.6609194300, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["139"], 23.437007669894776, rtol=high_error) || isapprox(sol["solution"]["qloss"]["139"], 23.02564135392063, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["139"], 20.7231292700, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["140"], 23.437007669894776, rtol=high_error) || isapprox(sol["solution"]["qloss"]["140"], 23.02564135392063, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["140"], 20.7231292700, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["110"], 4.500200020388256, rtol=high_error) || isapprox(sol["solution"]["qloss"]["110"], 4.417009912946016, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["110"], 3.9276614200, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["43"], 5.948121946341419, rtol=high_error) || isapprox(sol["solution"]["qloss"]["43"], 5.814873299260692, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["43"], 5.1894455000, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["44"], 5.948121946341419, rtol=high_error) || isapprox(sol["solution"]["qloss"]["44"], 5.814873299260692, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["44"], 5.1894455000, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["17"], 6.205040964538272, rtol=high_error) || isapprox(sol["solution"]["qloss"]["17"], 6.1065783135849605, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["17"], 5.4155020700, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["80"], 48.80904075667973, rtol=high_error) || isapprox(sol["solution"]["qloss"]["80"], 48.20131485633618, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["80"], 42.6867981000, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["129"], 20.584454083224045, rtol=high_error) || isapprox(sol["solution"]["qloss"]["129"], 19.994471460654985, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["129"], 18.1839370700, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["148"], 17.731682405084108, rtol=high_error) || isapprox(sol["solution"]["qloss"]["148"], 17.475451053180873, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["148"], 15.4032783500, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["51"], 21.926686009014936, rtol=high_error) || isapprox(sol["solution"]["qloss"]["51"], 21.654898927481735, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["51"], 19.0799541500, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["62"], 0.10737794898233999, rtol=high_error) || isapprox(sol["solution"]["qloss"]["62"], 0.10570148962750797, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["62"], 0.0930909400, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["28"], 8.42315791119642, rtol=high_error) || isapprox(sol["solution"]["qloss"]["28"], 8.251452877422134, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["28"], 7.3126311300, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["86"], 9.543322122927265, rtol=high_error) || isapprox(sol["solution"]["qloss"]["86"], 9.38253845881044, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["86"], 8.3273572900, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["205"], 4.15075867532568, rtol=high_error) || isapprox(sol["solution"]["qloss"]["205"], 4.08683686089888, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["205"], 3.6027336100, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["206"], 4.15075867532568, rtol=high_error) || isapprox(sol["solution"]["qloss"]["206"], 4.08683686089888, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["206"], 3.6027336100, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["207"], 3.9412247663066036, rtol=high_error) || isapprox(sol["solution"]["qloss"]["207"], 3.8875898883185283, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["207"], 3.4106187800, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["208"], 3.9412247663066036, rtol=high_error) || isapprox(sol["solution"]["qloss"]["208"], 3.8875898883185283, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["208"], 3.4106187800, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["209"], 7.981491487007808, rtol=high_error) || isapprox(sol["solution"]["qloss"]["209"], 7.84503330897132, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["209"], 6.9328985200, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["210"], 7.981491487007808, rtol=high_error) || isapprox(sol["solution"]["qloss"]["210"], 7.84503330897132, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["210"], 6.9328985200, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["211"], 5.700794924589983, rtol=high_error) || isapprox(sol["solution"]["qloss"]["211"], 5.626605348062676, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["211"], 4.9067297000, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["212"], 5.700794924589983, rtol=high_error) || isapprox(sol["solution"]["qloss"]["212"], 5.626605348062676, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["212"], 4.9067297000, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["213"], 1.2865482661554724, rtol=high_error) || isapprox(sol["solution"]["qloss"]["213"], 1.267928278862742, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["213"], 1.1089382200, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["214"], 1.2865482661554724, rtol=high_error) || isapprox(sol["solution"]["qloss"]["214"], 1.267928278862742, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["214"], 1.1089382200, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["215"], 14.60013173970894, rtol=high_error) || isapprox(sol["solution"]["qloss"]["215"], 14.40859658819976, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["215"], 12.6407985700, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["216"], 2.9269600716479753, rtol=high_error) || isapprox(sol["solution"]["qloss"]["216"], 2.897867737413918, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["216"], 2.5412652500, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["217"], 2.9269600716479753, rtol=high_error) || isapprox(sol["solution"]["qloss"]["217"], 2.897867737413918, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["217"], 2.5412652500, rtol=high_error)
end
@testset "d-y transformers" begin
end
@testset "y-d transformers" begin
@test isapprox(sol["solution"]["qloss"]["1"], 16.40259810295459, rtol=high_error) || isapprox(sol["solution"]["qloss"]["1"], 16.184184433531346, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["1"], 14.1178760500, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["179"], 7.5053466955605606, rtol=high_error) || isapprox(sol["solution"]["qloss"]["179"], 7.473482352558361, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["179"], 6.5193080900, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["180"], 4.990380780192192, rtol=high_error) || isapprox(sol["solution"]["qloss"]["180"], 4.969193856877153, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["180"], 4.3347535100, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["181"], 14.164679161743265, rtol=high_error) || isapprox(sol["solution"]["qloss"]["181"], 14.104542273517584, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["181"], 12.3037509900, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["182"], 2.570458745777832, rtol=high_error) || isapprox(sol["solution"]["qloss"]["182"], 2.558381805600696, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["182"], 2.2317414300, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["183"], 2.570458745777832, rtol=high_error) || isapprox(sol["solution"]["qloss"]["183"], 2.558381805600696, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["183"], 2.2317414300, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["184"], 1.1168145458739358, rtol=high_error) || isapprox(sol["solution"]["qloss"]["184"], 1.111567349247408, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["184"], 0.9696482400, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["185"], 5.45414877180648, rtol=high_error) || isapprox(sol["solution"]["qloss"]["185"], 5.38152243301836, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["185"], 4.6944394100, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["186"], 5.45414877180648, rtol=high_error) || isapprox(sol["solution"]["qloss"]["186"], 5.38152243301836, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["186"], 4.6944394100, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["187"], 5.45414877180648, rtol=high_error) || isapprox(sol["solution"]["qloss"]["187"], 5.38152243301836, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["187"], 4.6944394100, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["188"], 16.40259810295459, rtol=high_error) || isapprox(sol["solution"]["qloss"]["188"], 16.184184433531346, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["188"], 14.1178760500, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["189"], 2.4559652074822917, rtol=high_error) || isapprox(sol["solution"]["qloss"]["189"], 2.436383570292936, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["189"], 2.1253197200, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["190"], 2.4559652074822917, rtol=high_error) || isapprox(sol["solution"]["qloss"]["190"], 2.436383570292936, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["190"], 2.1253197200, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["191"], 7.333306078138596, rtol=high_error) || isapprox(sol["solution"]["qloss"]["191"], 7.274836952198569, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["191"], 6.3460254700, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["192"], 7.333306078138596, rtol=high_error) || isapprox(sol["solution"]["qloss"]["192"], 7.274836952198569, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["192"], 6.3460254700, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["193"], 3.709003706528976, rtol=high_error) || isapprox(sol["solution"]["qloss"]["193"], 3.6904849940582642, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["193"], 3.2193033700, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["194"], 3.709003706528976, rtol=high_error) || isapprox(sol["solution"]["qloss"]["194"], 3.6904849940582642, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["194"], 3.2193033700, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["195"], 3.709003706528976, rtol=high_error) || isapprox(sol["solution"]["qloss"]["195"], 3.6904849940582642, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["195"], 3.2193033700, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["196"], 3.709003706528976, rtol=high_error) || isapprox(sol["solution"]["qloss"]["196"], 3.6904849940582642, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["196"], 3.2193033700, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["197"], 5.556249965560176, rtol=high_error) || isapprox(sol["solution"]["qloss"]["197"], 5.528508123365064, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["197"], 4.8226590200, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["198"], 7.00407796383576, rtol=high_error) || isapprox(sol["solution"]["qloss"]["198"], 6.951686708627425, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["198"], 6.0641322100, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["199"], 1.263160199680992, rtol=high_error) || isapprox(sol["solution"]["qloss"]["199"], 1.248133487994864, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["199"], 1.0887777800, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["200"], 1.263160199680992, rtol=high_error) || isapprox(sol["solution"]["qloss"]["200"], 1.248133487994864, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["200"], 1.0887777800, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["201"], 1.263160199680992, rtol=high_error) || isapprox(sol["solution"]["qloss"]["201"], 1.248133487994864, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["201"], 1.0887777800, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["202"], 2.9406879761217124, rtol=high_error) || isapprox(sol["solution"]["qloss"]["202"], 2.9057051842421044, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["202"], 2.5347206600, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["203"], 2.9406879761217124, rtol=high_error) || isapprox(sol["solution"]["qloss"]["203"], 2.9057051842421044, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["203"], 2.5347206600, rtol=high_error)
@test isapprox(sol["solution"]["qloss"]["204"], 1.2947729916248398, rtol=high_error) || isapprox(sol["solution"]["qloss"]["204"], 1.31559786940008, rtol=high_error)
@test isapprox(sol["solution"]["ieff"]["204"], 2.9938144700, rtol=high_error)
end
@testset "y-y transformers" begin
end
@testset "d-d transformers" begin
end
@testset "lines" begin
@test isapprox(sol["solution"]["qloss"]["2"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["2"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["3"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["3"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["4"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["4"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["5"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["5"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["6"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["6"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["7"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["7"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["8"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["8"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["9"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["9"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["10"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["10"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["11"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["11"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["12"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["12"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["13"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["13"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["14"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["14"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["15"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["15"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["16"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["16"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["18"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["18"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["19"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["19"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["20"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["20"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["21"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["21"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["22"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["22"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["23"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["23"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["25"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["25"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["26"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["26"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["27"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["27"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["29"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["29"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["30"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["30"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["31"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["31"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["32"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["32"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["33"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["33"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["34"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["34"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["35"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["35"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["36"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["36"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["37"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["37"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["38"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["38"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["39"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["39"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["40"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["40"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["41"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["41"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["42"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["42"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["46"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["46"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["47"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["47"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["48"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["48"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["49"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["49"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["50"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["50"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["52"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["52"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["53"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["53"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["54"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["54"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["55"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["55"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["56"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["56"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["57"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["57"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["58"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["58"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["59"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["59"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["60"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["60"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["61"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["61"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["63"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["63"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["64"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["64"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["65"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["65"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["66"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["66"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["67"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["67"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["68"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["68"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["69"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["69"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["70"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["70"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["72"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["72"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["73"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["73"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["74"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["74"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["75"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["75"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["76"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["76"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["78"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["78"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["79"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["79"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["81"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["81"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["82"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["82"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["83"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["83"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["84"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["84"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["85"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["85"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["87"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["87"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["88"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["88"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["89"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["89"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["90"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["90"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["91"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["91"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["92"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["92"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["93"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["93"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["94"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["94"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["95"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["95"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["96"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["96"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["97"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["97"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["98"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["98"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["100"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["100"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["101"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["101"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["102"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["102"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["103"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["103"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["104"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["104"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["105"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["105"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["106"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["106"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["107"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["107"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["108"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["108"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["111"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["111"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["112"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["112"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["113"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["113"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["114"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["114"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["115"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["115"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["116"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["116"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["117"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["117"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["118"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["118"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["119"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["119"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["120"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["120"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["121"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["121"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["122"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["122"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["123"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["123"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["124"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["124"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["125"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["125"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["126"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["126"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["127"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["127"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["128"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["128"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["130"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["130"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["131"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["131"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["132"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["132"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["133"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["133"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["134"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["134"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["135"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["135"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["136"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["136"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["137"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["137"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["138"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["138"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["141"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["141"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["142"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["142"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["144"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["144"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["145"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["145"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["146"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["146"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["147"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["147"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["149"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["149"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["150"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["150"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["151"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["151"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["152"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["152"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["153"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["153"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["154"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["154"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["155"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["155"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["156"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["156"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["157"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["157"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["158"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["158"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["159"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["159"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["160"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["160"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["161"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["161"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["162"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["162"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["163"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["163"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["164"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["164"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["165"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["165"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["166"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["166"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["167"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["167"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["168"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["168"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["169"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["169"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["170"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["170"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["171"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["171"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["172"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["172"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["173"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["173"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["174"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["174"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["175"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["175"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["176"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["176"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["177"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["177"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["qloss"]["178"], 0.0, rtol=low_error)
@test isapprox(sol["solution"]["ieff"]["178"], 0.0, rtol=low_error)
end
end