Package evaluation to test DiscreteChoiceModels on Julia 1.11.7 (58327cce5e*) started at 2025-10-29T05:25:56.747 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.43s ################################################################################ # Installation # Installing DiscreteChoiceModels... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [c2e53169] + DiscreteChoiceModels v0.1.0 Updating `~/.julia/environments/v1.11/Manifest.toml` [47edcb42] + ADTypes v1.18.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [ec485272] + ArnoldiMethod v0.4.0 [4fba245c] + ArrayInterface v7.22.0 [a9b6321e] + Atomix v1.1.2 [198e06fe] + BangBang v0.4.6 [9718e550] + Baselet v0.1.1 [336ed68f] + CSV v0.10.15 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [5060bff5] + ConcurrentCollections v0.1.1 [187b0558] + ConstructionBase v1.6.0 [6add18c4] + ContextVariablesX v0.1.3 [a8cc5b0e] + Crayons v4.1.1 [20c56dc6] + DTables v0.4.3 ⌅ [d58978e5] + Dagger v0.18.17 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.8.1 ⌅ [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + 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libblastrampoline_jll v5.11.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 5.05s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 354.61s ################################################################################ # Testing # Testing DiscreteChoiceModels Status `/tmp/jl_FbV8Xr/Project.toml` [336ed68f] CSV v0.10.15 [20c56dc6] DTables v0.4.3 ⌅ [d58978e5] Dagger v0.18.17 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.1 [c2e53169] DiscreteChoiceModels v0.1.0 [31c24e10] Distributions v0.25.122 [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 [a15396b6] OnlineStats v1.7.2 [295af30f] Revise v3.11.0 [1bc83da4] SafeTestsets v0.1.0 [2913bbd2] StatsBase v0.34.7 [f8b46487] TestItemRunner v1.1.0 [8ba89e20] Distributed v1.11.0 [44cfe95a] Pkg v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_FbV8Xr/Manifest.toml` [47edcb42] ADTypes v1.18.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.22.0 [a9b6321e] Atomix v1.1.2 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libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.59.0+0 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling DiscreteChoiceModels... 14827.4 ms ✓ DTables 35905.5 ms ✓ DiscreteChoiceModels 2 dependencies successfully precompiled in 60 seconds. 180 already precompiled. [ Info: Log-likelihood at starting values -6964.662979191462 [ Info: Calculating log-likelihood at constants [ Info: Log-likelihood at starting values -6964.662979191462 [ Info: Optimization converged successfully after 7 iterations ┌ Info: Using method BFGS, └ 26 function evaluations, 26 gradient evaluations [ Info: Log-likelihood at constants: -5864.998302853351 [ Info: Optimization converged successfully after 12 iterations ┌ Info: Using method BFGS, └ 45 function evaluations, 45 gradient evaluations [ Info: Calculating and inverting Hessian (coefnames = [:βinc_tr, :βinc_cp], starting_values = [0.0, 0.0], fixed_coefs = Dict{Symbol, Number}(), utility_functions = Function[Main.var"##237".var"#1#4"(), Main.var"##237".var"#2#5"(), Main.var"##237".var"#3#6"()], alt_numbers = Dict{Any, Int64}("Carpool" => 3, "SOV" => 1, "Transit" => 2), columnnames = Set(Any[:income]), mixed_coefs = Any[], mixed_coefnames = Symbol[], mixed_levels = Union{Nothing, Symbol}[], groupcol = nothing, nests = [-1, -1, -1], iv_param_indices = [-1, -1, -1]) [ Info: Log-likelihood at starting values -5.493061443340549 [ Info: Calculating log-likelihood at constants [ Info: Log-likelihood at starting values -5.493061443340549 [ Info: Optimization converged successfully after 5 iterations ┌ Info: Using method BFGS, └ 14 function evaluations, 14 gradient evaluations [ Info: Log-likelihood at constants: -5.27460083993072 [ Info: Optimization converged successfully after 7 iterations ┌ Info: Using method BFGS, └ 28 function evaluations, 28 gradient evaluations [ Info: Calculating and inverting Hessian [ Info: Log-likelihood at starting values -5.493061443340547 [ Info: Optimization converged successfully after 14 iterations ┌ Info: Using method BFGS, └ 52 function evaluations, 52 gradient evaluations [ Info: Calculating and inverting Hessian [ Info: Simulated log-likelihood at starting values -2253.777965473557 [ Info: Calculating log-likelihood at constants [ Info: Log-likelihood at constants: -2420.387479639125 Iter Function value Gradient norm 0 2.253778e+03 3.928589e+02 * time: 0.11701011657714844 1 2.136619e+03 1.013743e+02 * time: 77.13435101509094 2 2.115663e+03 1.061077e+02 * time: 142.97454500198364 3 1.823041e+03 4.627223e+02 * time: 274.19675397872925 4 1.820886e+03 4.578806e+02 * time: 357.41292810440063 5 1.697164e+03 6.109330e+01 * time: 375.925714969635 6 1.673621e+03 3.045354e+01 * time: 403.87248706817627 7 1.669288e+03 2.443858e+01 * time: 422.3135550022125 8 1.666438e+03 2.411964e+01 * time: 450.30954909324646 9 1.586439e+03 1.207294e+02 * time: 507.28628396987915 10 1.580955e+03 1.002798e+02 * time: 546.556792974472 11 1.538245e+03 7.771236e+01 * time: 585.3211109638214 12 1.537102e+03 7.395731e+01 * time: 613.5980079174042 13 1.523421e+03 3.587913e+01 * time: 632.040668964386 14 1.483041e+03 4.194037e+01 * time: 678.051342010498 15 1.482362e+03 4.467614e+01 * time: 705.2340879440308 16 1.469272e+03 2.828873e+01 * time: 723.3134899139404 17 1.465568e+03 2.427674e+01 * time: 750.8668670654297 18 1.464137e+03 9.874441e+00 * time: 777.9522230625153 19 1.463117e+03 1.184800e+01 * time: 805.2889089584351 20 1.450907e+03 3.738440e+01 * time: 887.2083721160889 21 1.450858e+03 3.759627e+01 * time: 912.8012220859528 22 1.444265e+03 1.265984e+01 * time: 949.5125570297241 23 1.442718e+03 5.027507e+00 * time: 991.9703960418701 24 1.442597e+03 5.808169e+00 * time: 1020.2769229412079 25 1.442521e+03 2.179031e+00 * time: 1064.1910009384155 26 1.442505e+03 1.050823e+00 * time: 1108.4658188819885 27 1.442502e+03 2.082193e-01 * time: 1153.3706769943237 28 1.442501e+03 1.150670e-01 * time: 1197.5601370334625 29 1.442501e+03 5.444312e-02 * time: 1242.0631220340729 30 1.442501e+03 7.481674e-03 * time: 1286.5286118984222 31 1.442501e+03 8.565579e-04 * time: 1331.0114569664001 32 1.442501e+03 1.623390e-05 * time: 1374.075119972229 33 1.442501e+03 1.338230e-07 * time: 1403.6425030231476 34 1.442501e+03 9.540042e-10 * time: 1432.7880840301514 [ Info: Optimization converged successfully after 34 iterations ┌ Info: Using method BFGS, └ 127 function evaluations, 127 gradient evaluations [ Info: Calculating and inverting Hessian ┌ Warning: No nests in nested logit model, it is equivalent to multinomial logit but less computationally efficient └ @ DiscreteChoiceModels ~/.julia/packages/DiscreteChoiceModels/jHF5c/src/nl.jl:157 [ Info: Log-likelihood at starting values -6964.662979191462 [ Info: Optimization converged successfully after 12 iterations ┌ Info: Using method BFGS, └ 45 function evaluations, 45 gradient evaluations [ Info: Calculating and inverting Hessian [ Info: Log-likelihood at starting values -486.4775372638265 [ Info: Optimization converged successfully after 36 iterations ┌ Info: Using method BFGS, └ 144 function evaluations, 144 gradient evaluations [ Info: Calculating and inverting Hessian Dict(:βcool_op_cost => -1.105, :βheat_install_cost => -0.554, :βheat_op_cost => -0.867, :θcooling => 0.601, :θnoncooling => 0.446, :αcooling => -6.064, :βcool_install_cost => -0.225, :βinc_cooling => 0.252, :βinc_room => -0.378) [ Info: Log-likelihood at starting values -6964.662979191462 [ Info: Optimization converged successfully after 16 iterations ┌ Info: Using method BFGS, └ 78 function evaluations, 78 gradient evaluations [ Info: Calculating and inverting Hessian Dict(:βtravel_time => -0.899, :αtrain => -0.512, :θExisting => 0.487, :αcar => -0.167, :αswissmetro => 0.0, :βcost => -0.857) [ Info: Log-likelihood at starting values -12117.44904609395 [ Info: Optimization converged successfully after 53 iterations ┌ Info: Using method BFGS, └ 223 function evaluations, 223 gradient evaluations [ Info: Calculating and inverting Hessian Nested logit model Initial log-likelhood (at starting values): -12117.44904609395 Final log-likelihood: -3493.0397298632474 ┌───────────────────┬──────────┬───────────┬───────────┐ │ │ Coef │ Std. Err. │ Z-stat │ ├───────────────────┼──────────┼───────────┼───────────┤ │ θCar │ 0.25931 │ 0.18087 │ 1.43373 │ │ θMotor │ 0.80165 │ 0.20089 │ 3.99051 │ │ θNonMotor │ 0.85378 │ 0.11216 │ 7.61221 │ │ βInVehTime │ -0.12372 │ 0.02921 │ -4.23591 │ │ βCost │ -0.17571 │ 0.11966 │ -1.46840 │ │ αSR │ 1.42298 │ 1.00238 │ 1.41960 │ │ βLogIncomeSR │ -0.19382 │ 0.13555 │ -1.42991 │ │ αWalk │ 8.62155 │ 1.13894 │ 7.56979 │ │ βNonMotorTime │ -0.26558 │ 0.01631 │ -16.28627 │ │ βLogIncomeWalk │ -0.52279 │ 0.10038 │ -5.20803 │ │ αBike │ -0.25812 │ 1.33959 │ -0.19268 │ │ βLogIncomeBike │ -0.19697 │ 0.12355 │ -1.59435 │ │ αTransit │ 6.75466 │ 2.06499 │ 3.27103 │ │ βOutVehTime │ -0.25481 │ 0.06458 │ -3.94584 │ │ βLogIncomeTransit │ -0.55717 │ 0.16930 │ -3.29094 │ └───────────────────┴──────────┴───────────┴───────────┘ Nesting structure: - Motor - 5 - Car - 2 - 1 - NonMotor - 4 - 3 Test Summary: | Pass Broken Total Time Package | 728 1 729 34m07.7s Testing DiscreteChoiceModels tests passed Testing completed after 2111.11s PkgEval succeeded after 2494.35s