Package evaluation of SimulatedNeuralMoments on Julia 1.12.0-DEV.1805 (a080deafdd*) started at 2025-03-25T05:17:04.544 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.29s ################################################################################ # Installation # Installing SimulatedNeuralMoments... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [43b7c8c0] + SimulatedNeuralMoments v3.0.0 Updating `~/.julia/environments/v1.12/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 v0.12.0 [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 v0.9.3 [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 v0.10.38 ⌅ [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 v0.16.6 [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 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v1.10.2 [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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StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [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 v1.2.0+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.8.0+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+1 [14a3606d] + MozillaCACerts_jll v2024.11.26 [4536629a] + OpenBLAS_jll v0.3.28+3 [05823500] + OpenLibm_jll v0.8.1+3 [efcefdf7] + PCRE2_jll v10.44.0+0 [bea87d4a] + SuiteSparse_jll v7.8.0+1 [83775a58] + Zlib_jll v1.3.1+1 [8e850b90] + libblastrampoline_jll v5.11.2+0 [8e850ede] + nghttp2_jll v1.63.0+1 [3f19e933] + p7zip_jll v17.5.0+1 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 8.16s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 46.63s ################################################################################ # Testing # Testing SimulatedNeuralMoments Status `/tmp/jl_X45ffr/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_X45ffr/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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[cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.2.0+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.8.0+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+1 [14a3606d] MozillaCACerts_jll v2024.11.26 [4536629a] OpenBLAS_jll v0.3.28+3 [05823500] OpenLibm_jll v0.8.1+3 [efcefdf7] PCRE2_jll v10.44.0+0 [bea87d4a] SuiteSparse_jll v7.8.0+1 [83775a58] Zlib_jll v1.3.1+1 [8e850b90] libblastrampoline_jll v5.11.2+0 [8e850ede] nghttp2_jll v1.63.0+1 [3f19e933] p7zip_jll v17.5.0+1 Info Packages marked with ⌃ and ⌅ have new versions available. 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 [ Info: sampling from prior and training the net [ Info: starting training of the net epoch: 10, current loss: 0.030456629 best loss: 0.030456629 relative rmse.: [0.243 0.658 0.494] epoch: 20, current loss: 0.029015038 best loss: 0.029015038 relative rmse.: [0.22 0.651 0.475] epoch: 30, current loss: 0.028113078 best loss: 0.028113078 relative rmse.: [0.195 0.653 0.463] epoch: 40, current loss: 0.027742306 best loss: 0.027742306 relative rmse.: [0.191 0.65 0.457] epoch: 50, current loss: 0.027493685 best loss: 0.027493685 relative rmse.: [0.19 0.649 0.453] epoch: 60, current loss: 0.0273352 best loss: 0.0273352 relative rmse.: [0.19 0.647 0.45] epoch: 70, current loss: 0.027232686 best loss: 0.027232686 relative rmse.: [0.19 0.647 0.448] epoch: 80, current loss: 0.027166992 best loss: 0.027166992 relative rmse.: [0.191 0.647 0.446] epoch: 90, current loss: 0.027102934 best loss: 0.027102934 relative rmse.: [0.191 0.647 0.444] epoch: 100, current loss: 0.027041923 best loss: 0.027041923 relative rmse.: [0.19 0.647 0.442] [ Info: the raw neural net fit is [0.6328548192977905, 0.8933008313179016, 0.4568788409233093] [ Info: running a short chain to allow refining of the tuning [ Info: starting the MCMC run iter 200 of 1100 [0.635, 0.737, 0.588] acc. rate: 0.34 iter 300 of 1100 [0.613, 0.661, 0.429] acc. rate: 0.36 iter 400 of 1100 [0.597, 0.884, 0.455] acc. rate: 0.358 iter 500 of 1100 [0.583, 0.883, 0.378] acc. rate: 0.366 iter 600 of 1100 [0.68, 0.92, 0.189] acc. rate: 0.358 iter 700 of 1100 [0.647, 0.987, 0.284] acc. rate: 0.354 iter 800 of 1100 [0.631, 0.863, 0.553] acc. rate: 0.354 iter 900 of 1100 [0.666, 0.835, 0.515] acc. rate: 0.358 iter 1000 of 1100 [0.633, 0.939, 0.388] acc. rate: 0.358 iter 1100 of 1100 [0.661, 0.934, 0.283] acc. rate: 0.356 [ Info: display the results acceptance rate: 0.358 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 0.6653 0.1156 0.0205 41.3966 41.0559 1.0256 missing ρ 0.8696 0.0850 0.0138 42.4284 74.1250 1.0305 missing σ 0.4419 0.1192 0.0126 88.0871 110.9670 1.0034 missing lnℒ -1.7376 1.2725 0.1438 72.1875 103.1102 1.0055 missing Quantiles parameters 2.5% 25.0% 50.0% 75.0% 97.5% Symbol Float64 Float64 Float64 Float64 Float64 α 0.5214 0.6051 0.6484 0.6876 1.0482 ρ 0.6588 0.8263 0.8937 0.9309 0.9885 σ 0.1903 0.3608 0.4388 0.5337 0.6845 lnℒ -4.2440 -2.5612 -1.4735 -0.7698 -0.0901 For comparison, the true parameters are adjoint([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: 0.04050068 best loss: 0.04050068 relative rmse.: [0.485 0.709 0.798 0.461 0.486] epoch: 20, current loss: 0.034557275 best loss: 0.034557275 relative rmse.: [0.416 0.665 0.759 0.388 0.468] epoch: 30, current loss: 0.027477082 best loss: 0.027477082 relative rmse.: [0.316 0.551 0.676 0.327 0.431] epoch: 40, current loss: 0.025053574 best loss: 0.025053574 relative rmse.: [0.288 0.484 0.657 0.313 0.42] epoch: 50, current loss: 0.023651233 best loss: 0.023651233 relative rmse.: [0.268 0.45 0.636 0.306 0.412] epoch: 60, current loss: 0.022764746 best loss: 0.022764746 relative rmse.: [0.254 0.431 0.616 0.301 0.408] epoch: 70, current loss: 0.022080874 best loss: 0.022080874 relative rmse.: [0.244 0.417 0.596 0.298 0.406] epoch: 80, current loss: 0.021410054 best loss: 0.021410054 relative rmse.: [0.237 0.408 0.576 0.294 0.402] epoch: 90, current loss: 0.02078879 best loss: 0.02078879 relative rmse.: [0.231 0.4 0.556 0.29 0.398] epoch: 100, current loss: 0.020262143 best loss: 0.020262143 relative rmse.: [0.225 0.394 0.54 0.285 0.395] [ Info: the raw neural net fit is [1.0180777311325073, 1.0060133934020996, 0.16034018993377686, 1.8586452007293701, 0.3709643483161926] 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 [1.03, 1.145, 0.19, 1.638, 0.391] acc. rate: 0.25 iter 300 of 1100 [1.032, 0.965, 0.223, 1.823, 0.389] acc. rate: 0.287 iter 400 of 1100 [1.018, 0.953, 0.192, 1.72, 0.339] acc. rate: 0.275 iter 500 of 1100 [1.057, 1.02, 0.234, 1.683, 0.39] acc. rate: 0.264 iter 600 of 1100 [1.026, 0.966, 0.246, 1.664, 0.43] acc. rate: 0.265 iter 700 of 1100 [1.022, 0.778, 0.196, 1.805, 0.363] acc. rate: 0.264 iter 800 of 1100 [1.034, 0.969, 0.211, 1.719, 0.407] acc. rate: 0.254 iter 900 of 1100 [1.013, 0.948, 0.229, 1.687, 0.39] acc. rate: 0.254 iter 1000 of 1100 [1.037, 0.974, 0.212, 1.8, 0.402] acc. rate: 0.256 iter 1100 of 1100 [1.037, 0.959, 0.2, 1.612, 0.344] acc. rate: 0.251 [ Info: display the results acceptance rate: 0.253 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 1.0250 0.0218 0.0042 26.0957 100.2143 1.0172 missing μ2 0.9453 0.1082 0.0133 65.0007 83.9366 1.0306 missing σ1 0.2233 0.0272 0.0033 68.8045 81.3768 1.0015 missing σ2 1.8033 0.0973 0.0172 45.8357 29.7796 1.0401 missing prob 0.4050 0.0350 0.0065 30.6101 69.5411 1.0226 missing lnℒ -2.3263 1.5379 0.2036 57.2902 113.1888 1.0169 missing Quantiles parameters 2.5% 25.0% 50.0% 75.0% 97.5% Symbol Float64 Float64 Float64 Float64 Float64 μ1 0.9807 1.0100 1.0259 1.0406 1.0589 μ2 0.7252 0.8747 0.9525 1.0032 1.2006 σ1 0.1701 0.2057 0.2239 0.2399 0.2733 σ2 1.6487 1.7394 1.7915 1.8522 2.0699 prob 0.3306 0.3850 0.4080 0.4293 0.4607 lnℒ -5.7670 -3.2395 -1.9532 -1.2487 -0.3633 For comparison, the true parameters are adjoint([1.0, 1.0, 0.2, 1.8, 0.4]) Test Summary: | Pass Total Time SimulatedNeuralMoments | 6 6 9m11.6s Testing SimulatedNeuralMoments tests passed Testing completed after 556.57s PkgEval succeeded after 648.54s