Package evaluation of SimulatedNeuralMoments on Julia 1.11.4 (a71dd056e0*) started at 2025-04-09T01:24:48.776 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.88s ################################################################################ # Installation # Installing SimulatedNeuralMoments... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [43b7c8c0] + SimulatedNeuralMoments v3.0.0 Updating `~/.julia/environments/v1.11/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [80f14c24] + AbstractMCMC v5.6.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [7d9fca2a] + Arpack v0.5.4 [a9b6321e] + Atomix v1.1.1 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.7 [fbb218c0] + BSON v0.3.9 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [d1d4a3ce] + BitFlags v0.1.9 [fa961155] + CEnum v0.5.0 [082447d4] + ChainRules v1.72.3 [d360d2e6] + ChainRulesCore v1.25.1 [aaaa29a8] + Clustering v0.15.8 [944b1d66] + CodecZlib v0.7.8 [35d6a980] + ColorSchemes v3.29.0 [3da002f7] + ColorTypes v0.12.1 [c3611d14] + ColorVectorSpace v0.11.0 [5ae59095] + Colors v0.13.0 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [f0e56b4a] + ConcurrentUtilities v2.5.0 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.5.8 [6add18c4] + ContextVariablesX v0.1.3 [d38c429a] + Contour v0.6.3 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.118 [ffbed154] + DocStringExtensions v0.9.4 [460bff9d] + ExceptionUnwrapping v0.1.11 [c87230d0] + FFMPEG v0.4.2 [7a1cc6ca] + FFTW v1.8.1 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [1a297f60] + FillArrays v1.13.0 [53c48c17] + FixedPointNumbers v0.8.5 ⌅ [587475ba] + Flux v0.14.25 [1fa38f19] + Format v1.3.7 [f6369f11] + ForwardDiff v1.0.1 ⌅ [d9f16b24] + Functors v0.4.12 [0c68f7d7] + GPUArrays v11.2.2 [46192b85] + GPUArraysCore v0.2.0 [28b8d3ca] + GR v0.73.13 [42e2da0e] + Grisu v1.0.2 [cd3eb016] + HTTP v1.10.15 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [7869d1d1] + IRTools v0.4.14 [22cec73e] + InitialValues v0.3.1 [a98d9a8b] + Interpolations v0.15.1 [8197267c] + IntervalSets v0.7.10 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [1019f520] + JLFzf v0.1.10 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.34 [5ab0869b] + KernelDensity v0.6.9 [929cbde3] + LLVM v9.2.0 [b964fa9f] + LaTeXStrings v1.4.0 [23fbe1c1] + Latexify v0.16.7 [1d6d02ad] + LeftChildRightSiblingTrees v0.2.0 [6fdf6af0] + LogDensityProblems v2.1.2 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.1.0 [c7f686f2] + MCMCChains v6.0.7 [be115224] + MCMCDiagnosticTools v0.3.14 [c2834f40] + MLCore v1.0.0 ⌃ [7e8f7934] + MLDataDevices v1.5.3 [e80e1ace] + MLJModelInterface v1.11.0 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.8 [1914dd2f] + MacroTools v0.5.15 [739be429] + MbedTLS v1.1.9 [442fdcdd] + Measures v0.3.2 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [6f286f6a] + MultivariateStats v0.10.3 [872c559c] + NNlib v0.9.30 [77ba4419] + NaNMath v1.1.3 [71a1bf82] + NameResolution v0.1.5 [c020b1a1] + NaturalSort v1.0.0 [b8a86587] + NearestNeighbors v0.4.21 [510215fc] + Observables v0.5.5 [6fe1bfb0] + OffsetArrays v1.16.0 [0b1bfda6] + OneHotArrays v0.2.7 [4d8831e6] + OpenSSL v1.4.3 ⌅ [3bd65402] + Optimisers v0.3.4 [bac558e1] + OrderedCollections v1.8.0 [90014a1f] + PDMats v0.11.33 [69de0a69] + Parsers v2.8.1 [ccf2f8ad] + PlotThemes v3.3.0 [995b91a9] + PlotUtils v1.4.3 [91a5bcdd] + Plots v1.40.11 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [8162dcfd] + PrettyPrint v0.2.0 [08abe8d2] + PrettyTables v2.4.0 [33c8b6b6] + ProgressLogging v0.1.4 [92933f4c] + ProgressMeter v1.10.4 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [b3c3ace0] + RangeArrays v0.3.2 [c84ed2f1] + Ratios v0.4.5 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 [01d81517] + RecipesPipeline v0.6.12 [189a3867] + Reexport v1.2.2 [05181044] + RelocatableFolders v1.0.1 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [30f210dd] + ScientificTypesBase v3.0.0 [7e506255] + ScopedValues v1.3.0 [6c6a2e73] + Scratch v1.2.1 [91c51154] + SentinelArrays v1.4.8 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [992d4aef] + Showoff v1.0.3 [777ac1f9] + SimpleBufferStream v1.2.0 [699a6c99] + SimpleTraits v0.9.4 [43b7c8c0] + SimulatedNeuralMoments v3.0.0 [a2af1166] + SortingAlgorithms v1.2.1 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.5.0 [171d559e] + SplittablesBase v0.1.15 [860ef19b] + StableRNGs v1.0.2 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.4.0 [10745b16] + Statistics 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[fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.7.2+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+0 [14a3606d] + MozillaCACerts_jll v2023.12.12 [4536629a] + OpenBLAS_jll v0.3.27+1 [05823500] + OpenLibm_jll v0.8.5+0 [efcefdf7] + PCRE2_jll v10.42.0+1 [bea87d4a] + SuiteSparse_jll v7.7.0+0 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.59.0+0 [3f19e933] + p7zip_jll v17.4.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 8.93s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 45.48s ################################################################################ # Testing # Testing SimulatedNeuralMoments Status `/tmp/jl_TqPZds/Project.toml` [fbb218c0] BSON v0.3.9 [8bb1440f] DelimitedFiles v1.9.1 [31c24e10] Distributions v0.25.118 ⌅ [587475ba] Flux v0.14.25 [c7f686f2] MCMCChains v6.0.7 [43b7c8c0] SimulatedNeuralMoments v3.0.0 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.4 [f3b207a7] StatsPlots v0.15.7 [37e2e46d] LinearAlgebra v1.11.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_TqPZds/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 [80f14c24] AbstractMCMC v5.6.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [7d9fca2a] Arpack v0.5.4 [a9b6321e] Atomix v1.1.1 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.7 [fbb218c0] BSON v0.3.9 [198e06fe] BangBang v0.4.4 [9718e550] 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... [ Info: running SV example with a small sample Precompiling MCMCChains... 4422.5 ms ✓ AbstractMCMC 7941.9 ms ✓ KernelDensity 6511.9 ms ✓ MCMCDiagnosticTools 12140.8 ms ✓ MCMCChains 4 dependencies successfully precompiled in 38 seconds. 156 already precompiled. Precompiling NNlibFFTWExt... 2820.9 ms ✓ NNlib → NNlibFFTWExt 1 dependency successfully precompiled in 4 seconds. 56 already precompiled. Precompiling StatsPlots... 3537.6 ms ✓ Interpolations → InterpolationsUnitfulExt 18325.2 ms ✓ Plots → UnitfulExt 29809.3 ms ✓ StatsPlots 3 dependencies successfully precompiled in 58 seconds. 249 already precompiled. Precompiling ZygoteDistancesExt... 12190.0 ms ✓ GPUArrays 7125.8 ms ✓ Zygote → ZygoteDistancesExt 2 dependencies successfully precompiled in 22 seconds. 106 already precompiled. [ Info: sampling from prior and training the net [ Info: starting training of the net epoch: 10, current loss: 0.030990588 best loss: 0.030990588 relative rmse.: [0.236 0.66 0.511] epoch: 20, current loss: 0.029340506 best loss: 0.029340506 relative rmse.: [0.215 0.652 0.484] epoch: 30, current loss: 0.028172452 best loss: 0.028172452 relative rmse.: [0.197 0.65 0.466] epoch: 40, current loss: 0.027821714 best loss: 0.027821714 relative rmse.: [0.193 0.648 0.461] epoch: 50, current loss: 0.027638575 best loss: 0.027638575 relative rmse.: [0.191 0.647 0.458] epoch: 60, current loss: 0.027518168 best loss: 0.027518168 relative rmse.: [0.19 0.646 0.456] epoch: 70, current loss: 0.027401155 best loss: 0.027401155 relative rmse.: [0.188 0.645 0.454] epoch: 80, current loss: 0.02728601 best loss: 0.02728601 relative rmse.: [0.186 0.644 0.453] epoch: 90, current loss: 0.0271795 best loss: 0.0271795 relative rmse.: [0.185 0.643 0.452] epoch: 100, current loss: 0.027100744 best loss: 0.027100744 relative rmse.: [0.185 0.643 0.45] [ Info: the raw neural net fit is [0.5962610840797424, 0.8822877407073975, 0.49148836731910706] [ Info: running a short chain to allow refining of the tuning [ Info: starting the MCMC run iter 200 of 1100 [0.534, 0.697, 0.572] acc. rate: 0.305 iter 300 of 1100 [0.598, 0.872, 0.508] acc. rate: 0.303 iter 400 of 1100 [0.625, 0.936, 0.491] acc. rate: 0.325 iter 500 of 1100 [0.554, 0.913, 0.263] acc. rate: 0.314 iter 600 of 1100 [0.615, 0.914, 0.295] acc. rate: 0.333 iter 700 of 1100 [0.604, 0.682, 0.508] acc. rate: 0.347 iter 800 of 1100 [0.658, 0.745, 0.518] acc. rate: 0.346 iter 900 of 1100 [0.874, 0.966, 0.32] acc. rate: 0.348 iter 1000 of 1100 [1.144, 0.966, 0.36] acc. rate: 0.348 iter 1100 of 1100 [0.847, 0.937, 0.369] acc. rate: 0.34 [ Info: display the results acceptance rate: 0.342 Chains MCMC chain (1000×4×1 Array{Float64, 3}): Iterations = 1:1:1000 Number of chains = 1 Samples per chain = 1000 parameters = α, ρ, σ, lnℒ Summary Statistics parameters mean std mcse ess_bulk ess_tail rhat ess_per_sec Symbol Float64 Float64 Float64 Float64 Float64 Float64 Missing α 0.6552 0.1141 0.0333 14.6623 25.5304 1.0915 missing ρ 0.8904 0.0746 0.0133 36.9996 49.4783 0.9995 missing σ 0.3954 0.1179 0.0166 51.2273 56.5681 1.0029 missing lnℒ -1.6733 1.0580 0.1926 41.5243 100.4315 1.0345 missing Quantiles parameters 2.5% 25.0% 50.0% 75.0% 97.5% Symbol Float64 Float64 Float64 Float64 Float64 α 0.4947 0.5800 0.6252 0.7032 0.9479 ρ 0.6894 0.8616 0.9081 0.9413 0.9921 σ 0.1429 0.3174 0.4048 0.4918 0.5768 lnℒ -4.4602 -2.3536 -1.4545 -0.9022 -0.3702 For comparison, the true parameters are [0.6921171816887304 0.9 0.363] [ Info: running MN example with a small sample WARNING: Method definition dgp(Any) in module Main at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/SVlib.jl:31 overwritten at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/MNlib.jl:5. WARNING: Method definition dgp(Any, Any) in module Main at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/SVlib.jl:31 overwritten at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/MNlib.jl:5. WARNING: Method definition auxstat(Any) in module Main at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/SVlib.jl:13 overwritten at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/MNlib.jl:17. WARNING: Method definition auxstat(Any, Any) in module Main at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/SVlib.jl:8 overwritten at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/MNlib.jl:23. WARNING: Method definition TrueParameters() in module Main at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/SVlib.jl:50 overwritten at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/MNlib.jl:27. WARNING: Method definition PriorSupport() in module Main at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/SVlib.jl:54 overwritten at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/MNlib.jl:31. WARNING: Method definition PriorDraw() in module Main at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/SVlib.jl:76 overwritten at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/MNlib.jl:37. WARNING: Method definition InSupport(Any) in module Main at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/SVlib.jl:66 overwritten at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/MNlib.jl:42. WARNING: Method definition GoodData(Any) in module Main at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/SVlib.jl:72 overwritten at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/MNlib.jl:48. WARNING: Method definition Prior(Any) in module Main at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/SVlib.jl:61 overwritten at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/MNlib.jl:53. [ Info: sampling from prior and training the net [ Info: starting training of the net epoch: 10, current loss: 0.039501246 best loss: 0.039501246 relative rmse.: [0.397 0.776 0.787 0.414 0.467] epoch: 20, current loss: 0.032879256 best loss: 0.032879256 relative rmse.: [0.365 0.661 0.728 0.356 0.454] epoch: 30, current loss: 0.026053218 best loss: 0.026053218 relative rmse.: [0.313 0.54 0.632 0.301 0.438] epoch: 40, current loss: 0.02370133 best loss: 0.02370133 relative rmse.: [0.287 0.483 0.597 0.29 0.415] epoch: 50, current loss: 0.022190312 best loss: 0.022190312 relative rmse.: [0.265 0.442 0.572 0.285 0.404] epoch: 60, current loss: 0.021226509 best loss: 0.021226509 relative rmse.: [0.246 0.416 0.56 0.279 0.393] epoch: 70, current loss: 0.020388786 best loss: 0.020388786 relative rmse.: [0.232 0.399 0.547 0.274 0.383] epoch: 80, current loss: 0.019704908 best loss: 0.019704908 relative rmse.: [0.223 0.388 0.536 0.269 0.374] epoch: 90, current loss: 0.019114053 best loss: 0.019114053 relative rmse.: [0.217 0.379 0.527 0.265 0.367] epoch: 100, current loss: 0.018636622 best loss: 0.018636622 relative rmse.: [0.212 0.371 0.518 0.261 0.36] [ Info: the raw neural net fit is [0.9830069541931152, 1.0097026824951172, 0.11547298729419708, 1.922201156616211, 0.37972310185432434] WARNING: Method definition proposal(Any) in module Main at /home/pkgeval/.julia/packages/SimulatedNeuralMoments/CKRST/examples/Example.jl:75 overwritten on the same line (check for duplicate calls to `include`). [ Info: running a short chain to allow refining of the tuning [ Info: starting the MCMC run iter 200 of 1100 [0.98, 0.964, 0.189, 1.759, 0.394] acc. rate: 0.28 iter 300 of 1100 [0.982, 1.108, 0.206, 1.835, 0.432] acc. rate: 0.25 iter 400 of 1100 [1.025, 1.141, 0.197, 1.759, 0.417] acc. rate: 0.235 iter 500 of 1100 [0.988, 1.126, 0.222, 1.99, 0.451] acc. rate: 0.244 iter 600 of 1100 [1.001, 0.88, 0.211, 1.941, 0.416] acc. rate: 0.26 iter 700 of 1100 [0.962, 0.869, 0.122, 1.88, 0.322] acc. rate: 0.254 iter 800 of 1100 [0.981, 0.922, 0.212, 1.784, 0.396] acc. rate: 0.255 iter 900 of 1100 [1.003, 1.202, 0.157, 1.666, 0.382] acc. rate: 0.258 iter 1000 of 1100 [0.963, 0.968, 0.207, 1.775, 0.355] acc. rate: 0.263 iter 1100 of 1100 [0.95, 0.944, 0.182, 1.842, 0.372] acc. rate: 0.263 [ Info: display the results acceptance rate: 0.26 Chains MCMC chain (1000×6×1 Array{Float64, 3}): Iterations = 1:1:1000 Number of chains = 1 Samples per chain = 1000 parameters = μ1, μ2 , σ1, σ2, prob, lnℒ Summary Statistics parameters mean std mcse ess_bulk ess_tail rhat ess_per_sec Symbol Float64 Float64 Float64 Float64 Float64 Float64 Missing μ1 0.9837 0.0198 0.0050 17.4207 27.8115 1.0829 missing μ2 1.0005 0.1142 0.0133 77.3301 92.2569 1.0220 missing σ1 0.1901 0.0336 0.0066 25.7406 24.5726 1.0301 missing σ2 1.8148 0.0767 0.0129 35.2927 89.4384 1.0386 missing prob 0.3897 0.0404 0.0067 39.8513 50.9833 1.0173 missing lnℒ -2.6779 1.7062 0.3510 25.2141 63.2576 1.0178 missing Quantiles parameters 2.5% 25.0% 50.0% 75.0% 97.5% Symbol Float64 Float64 Float64 Float64 Float64 μ1 0.9478 0.9666 0.9838 0.9961 1.0247 μ2 0.8048 0.9140 0.9838 1.0969 1.2334 σ1 0.1223 0.1727 0.1902 0.2119 0.2569 σ2 1.6742 1.7592 1.8131 1.8664 1.9673 prob 0.2902 0.3673 0.3982 0.4187 0.4488 lnℒ -6.2757 -3.5560 -2.3323 -1.5782 -0.2349 For comparison, the true parameters are [1.0 1.0 0.2 1.8 0.4] Test Summary: | Pass Total Time SimulatedNeuralMoments | 6 6 9m41.1s Testing SimulatedNeuralMoments tests passed Testing completed after 589.24s PkgEval succeeded after 664.92s