Package evaluation of LaplaceRedux on Julia 1.10.9 (96dc2d8c45*) started at 2025-06-06T21:53:38.341 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 5.06s ################################################################################ # Installation # Installing LaplaceRedux... Resolving package versions... Updating `~/.julia/environments/v1.10/Project.toml` [c52c1a26] + LaplaceRedux v1.2.0 Updating `~/.julia/environments/v1.10/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [a9b6321e] + Atomix v1.1.1 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [fa961155] + CEnum v0.5.0 [324d7699] + CategoricalArrays v0.10.8 [af321ab8] + CategoricalDistributions v0.1.15 [082447d4] + ChainRules v1.72.4 [d360d2e6] + ChainRulesCore v1.25.1 [3da002f7] + ColorTypes v0.12.1 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [ed09eef8] + ComputationalResources v0.3.2 [187b0558] + ConstructionBase v1.5.8 [6add18c4] + ContextVariablesX v0.1.3 [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 [31c24e10] + Distributions v0.25.120 [ffbed154] + DocStringExtensions v0.9.4 [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 [f6369f11] + ForwardDiff v1.0.1 ⌅ [d9f16b24] + Functors v0.4.12 [0c68f7d7] + GPUArrays v11.2.2 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [7869d1d1] + IRTools v0.4.14 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.34 [929cbde3] + LLVM v9.4.0 [b964fa9f] + LaTeXStrings v1.4.0 [c52c1a26] + LaplaceRedux v1.2.0 [92ad9a40] + LearnAPI v1.0.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [c2834f40] + MLCore v1.0.0 ⌃ [7e8f7934] + MLDataDevices v1.5.3 [a7f614a8] + MLJBase v1.8.1 [e80e1ace] + MLJModelInterface v1.11.1 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.8 [1914dd2f] + MacroTools v0.5.16 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [872c559c] + NNlib v0.9.30 [77ba4419] + NaNMath v1.1.3 [71a1bf82] + NameResolution v0.1.5 [0b1bfda6] + OneHotArrays v0.2.10 ⌅ [3bd65402] + Optimisers v0.3.4 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [d96e819e] + Parameters v0.12.3 ⌅ [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 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [321657f4] + ScientificTypes v3.1.0 [30f210dd] + ScientificTypesBase v3.0.0 [7e506255] + ScopedValues v1.3.0 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.4 [a2af1166] + SortingAlgorithms v1.2.1 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.5.1 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [c062fc1d] + StatisticalMeasuresBase v0.1.2 [64bff920] + StatisticalTraits v3.4.0 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 [4c63d2b9] + StatsFuns v1.5.0 [892a3eda] + StringManipulation v0.4.1 [09ab397b] + StructArrays v0.7.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [28d57a85] + Transducers v0.4.84 [bc48ee85] + Tullio v0.3.8 [3a884ed6] + UnPack v1.0.2 [013be700] + UnsafeAtomics v0.3.0 ⌅ [e88e6eb3] + Zygote v0.6.77 [700de1a5] + ZygoteRules v0.2.7 [dad2f222] + LLVMExtra_jll v0.0.36+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [0dad84c5] + ArgTools v1.1.1 [56f22d72] + Artifacts [2a0f44e3] + Base64 [ade2ca70] + Dates [8ba89e20] + Distributed [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching [9fa8497b] + Future [b77e0a4c] + InteractiveUtils [4af54fe1] + LazyArtifacts [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [56ddb016] + Logging [d6f4376e] + Markdown [a63ad114] + Mmap [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.10.0 [de0858da] + Printf [3fa0cd96] + REPL [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [6462fe0b] + Sockets [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.4.0+0 [e37daf67] + LibGit2_jll v1.6.4+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.2+1 [14a3606d] + MozillaCACerts_jll v2023.1.10 [4536629a] + OpenBLAS_jll v0.3.23+4 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.52.0+1 [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 9.9s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 116.15s ################################################################################ # Testing # Testing LaplaceRedux Status `/tmp/jl_hPlWol/Project.toml` [4c88cf16] Aqua v0.8.13 [336ed68f] CSV v0.10.15 [a93c6f00] DataFrames v1.7.0 [8bb1440f] DelimitedFiles v1.9.1 [31c24e10] Distributions v0.25.120 ⌅ [587475ba] Flux v0.14.25 [682c06a0] JSON v0.21.4 [c52c1a26] LaplaceRedux v1.2.0 [a7f614a8] MLJBase v1.8.1 [e80e1ace] MLJModelInterface v1.11.1 [72560011] MLJTestInterface v0.2.8 [f1d291b0] MLUtils v0.4.8 [91a5bcdd] Plots v1.40.13 [860ef19b] StableRNGs v1.0.3 [a19d573c] StatisticalMeasures v0.2.1 [9d524318] TaijaData v1.1.5 [592b5752] Trapz v2.0.3 [bc48ee85] Tullio v0.3.8 ⌅ [e88e6eb3] Zygote v0.6.77 [37e2e46d] LinearAlgebra [9a3f8284] Random [9e88b42a] Serialization [10745b16] Statistics v1.10.0 [8dfed614] Test Status `/tmp/jl_hPlWol/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.13 [dce04be8] ArgCheck v2.5.0 [7d9fca2a] Arpack v0.5.4 [a9b6321e] Atomix v1.1.1 [a963bdd2] AtomsBase v0.5.1 [ab4f0b2a] BFloat16s v0.5.1 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [d1d4a3ce] BitFlags v0.1.9 [e1450e63] BufferedStreams v1.2.2 [fa961155] CEnum v0.5.0 [336ed68f] CSV v0.10.15 [324d7699] CategoricalArrays v0.10.8 [af321ab8] CategoricalDistributions v0.1.15 [082447d4] ChainRules v1.72.4 [d360d2e6] ChainRulesCore v1.25.1 [46823bd8] Chemfiles v0.10.42 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.29.0 [3da002f7] ColorTypes v0.12.1 [c3611d14] ColorVectorSpace v0.11.0 [5ae59095] Colors v0.13.1 [861a8166] Combinatorics v1.0.3 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.16.0 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [f0e56b4a] ConcurrentUtilities v2.5.0 [187b0558] ConstructionBase v1.5.8 [6add18c4] ContextVariablesX v0.1.3 [d38c429a] Contour v0.6.3 ⌃ [2f13d31b] CounterfactualExplanations v1.1.6 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [124859b0] DataDeps v0.7.13 [a93c6f00] DataFrames v1.7.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [7806a523] DecisionTree v0.12.4 [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 v0.25.120 [ffbed154] DocStringExtensions v0.9.4 [460bff9d] ExceptionUnwrapping v0.1.11 [c87230d0] FFMPEG v0.4.2 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [5789e2e9] FileIO v1.17.0 [48062228] FilePathsBase v0.9.24 [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 v0.73.16 [92fee26a] GZip v0.6.2 [c27321d9] Glob v1.3.1 [42e2da0e] Grisu v1.0.2 [f67ccb44] HDF5 v0.17.2 [cd3eb016] HTTP v1.10.16 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [7869d1d1] IRTools v0.4.14 [c817782e] ImageBase v0.1.7 [a09fc81d] ImageCore v0.10.5 [4e3cecfd] ImageShow v0.3.8 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.3 [7d512f48] InternedStrings v0.7.0 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [033835bb] JLD2 v0.5.13 [1019f520] JLFzf v0.1.11 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [0f8b85d8] JSON3 v1.14.3 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.34 [929cbde3] LLVM v9.4.0 [b964fa9f] LaTeXStrings v1.4.0 [c52c1a26] LaplaceRedux v1.2.0 [23fbe1c1] Latexify v0.16.8 [8cdb02fc] LazyModules v0.3.1 [92ad9a40] LearnAPI v1.0.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.1.0 [23992714] MAT v0.10.7 [c2834f40] MLCore v1.0.0 ⌃ [7e8f7934] MLDataDevices v1.5.3 [eb30cadb] MLDatasets v0.7.18 [a7f614a8] MLJBase v1.8.1 [c6f25543] MLJDecisionTreeInterface v0.4.2 [e80e1ace] MLJModelInterface v1.11.1 ⌅ [d491faf4] MLJModels v0.16.17 [72560011] MLJTestInterface v0.2.8 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [3da0fdf6] MPIPreferences v0.1.11 [1914dd2f] MacroTools v0.5.16 [dbb5928d] MappedArrays v0.4.2 [739be429] MbedTLS v1.1.9 [442fdcdd] Measures v0.3.2 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [e94cdb99] MosaicViews v0.3.4 [6f286f6a] MultivariateStats v0.10.3 [872c559c] NNlib v0.9.30 [15e1cf62] NPZ v0.4.3 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 [6fe1bfb0] OffsetArrays v1.17.0 [0b1bfda6] OneHotArrays v0.2.10 [4d8831e6] OpenSSL v1.5.0 ⌅ [3bd65402] Optimisers v0.3.4 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.35 [65ce6f38] PackageExtensionCompat v1.0.2 [5432bcbf] PaddedViews v0.5.12 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [7b2266bf] PeriodicTable v1.2.1 [fbb45041] Pickle v0.3.5 [ccf2f8ad] PlotThemes v3.3.0 [995b91a9] PlotUtils v1.4.3 [91a5bcdd] Plots v1.40.13 [2dfb63ee] PooledArrays v1.4.3 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [8162dcfd] PrettyPrint v0.2.0 [54e16d92] PrettyPrinting v0.4.2 [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 [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 [321657f4] ScientificTypes v3.1.0 [30f210dd] ScientificTypesBase v3.0.0 [6e75b9c4] ScikitLearnBase v0.5.0 [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 [a2af1166] SortingAlgorithms v1.2.1 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.5.1 [171d559e] SplittablesBase v0.1.15 [860ef19b] StableRNGs v1.0.3 [cae243ae] StackViews v0.1.2 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [a19d573c] StatisticalMeasures v0.2.1 [c062fc1d] StatisticalMeasuresBase v0.1.2 [64bff920] StatisticalTraits v3.4.0 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.5 [4c63d2b9] StatsFuns v1.5.0 ⌅ [4db3bf67] StridedViews v0.2.2 [69024149] StringEncodings v0.3.7 [892a3eda] StringManipulation v0.4.1 [09ab397b] StructArrays v0.7.1 [856f2bd8] StructTypes v1.11.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [10284c91] TaijaBase v1.2.3 [9d524318] TaijaData v1.1.5 [62fd8b95] TensorCore v0.1.1 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.84 [592b5752] Trapz v2.0.3 [bc48ee85] Tullio v0.3.8 [5c2747f8] URIs v1.5.2 [3a884ed6] UnPack v1.0.2 [1cfade01] UnicodeFun v0.4.1 [1986cc42] Unitful v1.22.1 [a7773ee8] UnitfulAtomic v1.0.0 [45397f5d] UnitfulLatexify v1.7.0 [013be700] UnsafeAtomics v0.3.0 [41fe7b60] Unzip v0.2.0 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 [a5390f91] ZipFile v0.10.1 ⌅ [e88e6eb3] Zygote v0.6.77 [700de1a5] ZygoteRules v0.2.7 ⌅ [68821587] Arpack_jll v3.5.1+1 [6e34b625] Bzip2_jll v1.0.9+0 [83423d85] Cairo_jll v1.18.5+0 [78a364fa] Chemfiles_jll v0.10.4+0 [ee1fde0b] Dbus_jll v1.16.2+0 [2702e6a9] EpollShim_jll v0.0.20230411+1 [2e619515] Expat_jll v2.6.5+0 ⌅ [b22a6f82] FFMPEG_jll v4.4.4+1 [a3f928ae] Fontconfig_jll v2.16.0+0 [d7e528f0] FreeType2_jll v2.13.4+0 [559328eb] FriBidi_jll v1.0.17+0 [0656b61e] GLFW_jll v3.4.0+2 [d2c73de3] GR_jll v0.73.16+0 [78b55507] Gettext_jll v0.21.0+0 [7746bdde] Glib_jll v2.84.0+0 [3b182d85] Graphite2_jll v1.3.15+0 [0234f1f7] HDF5_jll v1.14.6+0 [2e76f6c2] HarfBuzz_jll v8.5.1+0 [e33a78d0] Hwloc_jll v2.12.1+0 [aacddb02] JpegTurbo_jll v3.1.1+0 [c1c5ebd0] LAME_jll v3.100.2+0 [88015f11] LERC_jll v4.0.1+0 [dad2f222] LLVMExtra_jll v0.0.36+0 [1d63c593] LLVMOpenMP_jll v18.1.8+0 [dd4b983a] LZO_jll v2.10.3+0 [e9f186c6] Libffi_jll v3.4.7+0 [7e76a0d4] Libglvnd_jll v1.7.1+1 [94ce4f54] Libiconv_jll v1.18.0+0 [4b2f31a3] Libmount_jll v2.41.0+0 [89763e89] Libtiff_jll v4.7.1+0 [38a345b3] Libuuid_jll v2.41.0+0 [7cb0a576] MPICH_jll v4.3.0+1 [f1f71cc9] MPItrampoline_jll v5.5.3+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [e7412a2a] Ogg_jll v1.3.5+1 [fe0851c0] OpenMPI_jll v5.0.7+2 [458c3c95] OpenSSL_jll v3.5.0+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [91d4177d] Opus_jll v1.3.3+0 [36c8627f] Pango_jll v1.56.3+0 ⌅ [30392449] Pixman_jll v0.44.2+0 [c0090381] Qt6Base_jll v6.8.2+1 [629bc702] Qt6Declarative_jll v6.8.2+1 [ce943373] Qt6ShaderTools_jll v6.8.2+1 [e99dba38] Qt6Wayland_jll v6.8.2+0 [f50d1b31] Rmath_jll v0.5.1+0 [a44049a8] Vulkan_Loader_jll v1.3.243+0 [a2964d1f] Wayland_jll v1.23.1+0 [2381bf8a] Wayland_protocols_jll v1.36.0+0 ⌅ [02c8fc9c] XML2_jll v2.13.6+1 [ffd25f8a] XZ_jll v5.8.1+0 [f67eecfb] Xorg_libICE_jll v1.1.2+0 [c834827a] Xorg_libSM_jll v1.2.6+0 [4f6342f7] Xorg_libX11_jll v1.8.12+0 [0c0b7dd1] Xorg_libXau_jll v1.0.13+0 [935fb764] Xorg_libXcursor_jll v1.2.4+0 [a3789734] Xorg_libXdmcp_jll v1.1.6+0 [1082639a] Xorg_libXext_jll v1.3.7+0 [d091e8ba] Xorg_libXfixes_jll v6.0.1+0 [a51aa0fd] Xorg_libXi_jll v1.8.3+0 [d1454406] Xorg_libXinerama_jll v1.1.6+0 [ec84b674] Xorg_libXrandr_jll v1.5.5+0 [ea2f1a96] Xorg_libXrender_jll v0.9.12+0 [c7cfdc94] Xorg_libxcb_jll v1.17.1+0 [cc61e674] Xorg_libxkbfile_jll v1.1.3+0 [e920d4aa] Xorg_xcb_util_cursor_jll v0.1.4+0 [12413925] Xorg_xcb_util_image_jll v0.4.0+1 [2def613f] Xorg_xcb_util_jll v0.4.0+1 [975044d2] Xorg_xcb_util_keysyms_jll v0.4.0+1 [0d47668e] Xorg_xcb_util_renderutil_jll v0.3.9+1 [c22f9ab0] Xorg_xcb_util_wm_jll v0.4.1+1 [35661453] Xorg_xkbcomp_jll v1.4.7+0 [33bec58e] Xorg_xkeyboard_config_jll v2.44.0+0 [c5fb5394] Xorg_xtrans_jll v1.6.0+0 [3161d3a3] Zstd_jll v1.5.7+1 [35ca27e7] eudev_jll v3.2.9+0 [214eeab7] fzf_jll v0.61.1+0 [1a1c6b14] gperf_jll v3.3.0+0 [477f73a3] libaec_jll v1.1.3+0 [a4ae2306] libaom_jll v3.11.0+0 [0ac62f75] libass_jll v0.15.2+0 [1183f4f0] libdecor_jll v0.2.2+0 [2db6ffa8] libevdev_jll v1.11.0+0 [f638f0a6] libfdk_aac_jll v2.0.3+0 [36db933b] libinput_jll v1.18.0+0 [b53b4c65] libpng_jll v1.6.48+0 [f27f6e37] libvorbis_jll v1.3.7+2 [009596ad] mtdev_jll v1.1.6+0 ⌅ [1270edf5] x264_jll v2021.5.5+0 ⌅ [dfaa095f] x265_jll v3.5.0+0 [d8fb68d0] xkbcommon_jll v1.8.1+0 [0dad84c5] ArgTools v1.1.1 [56f22d72] Artifacts [2a0f44e3] Base64 [ade2ca70] Dates [8ba89e20] Distributed [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching [9fa8497b] Future [b77e0a4c] InteractiveUtils [4af54fe1] LazyArtifacts [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 [8f399da3] Libdl [37e2e46d] LinearAlgebra [56ddb016] Logging [d6f4376e] Markdown [a63ad114] Mmap [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.10.0 [de0858da] Printf [3fa0cd96] REPL [9a3f8284] Random [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization [6462fe0b] Sockets [2f01184e] SparseArrays v1.10.0 [10745b16] Statistics v1.10.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test [cf7118a7] UUIDs [4ec0a83e] Unicode [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] LibCURL_jll v8.4.0+0 [e37daf67] LibGit2_jll v1.6.4+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.2+1 [14a3606d] MozillaCACerts_jll v2023.1.10 [4536629a] OpenBLAS_jll v0.3.23+4 [05823500] OpenLibm_jll v0.8.5+0 [efcefdf7] PCRE2_jll v10.42.0+1 [bea87d4a] SuiteSparse_jll v7.2.1+1 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.52.0+1 [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. Testing Running tests... Training networks. Running workflows. [ Info: Running workflow for: (regression, 0, GGN, all) [ Info: Running workflow for: (regression, 0, EmpiricalFisher, all) [ Info: Running workflow for: (regression, 32, GGN, all) [ Info: Running workflow for: (regression, 32, EmpiricalFisher, all) [ Info: Running workflow for: (regression, 0, GGN, last_layer) [ Info: Running workflow for: (regression, 0, EmpiricalFisher, last_layer) [ Info: Running workflow for: (regression, 32, GGN, last_layer) [ Info: Running workflow for: (regression, 32, EmpiricalFisher, last_layer) [ Info: Running workflow for: (regression, 0, GGN, subnetwork) [ Info: Running workflow for: (regression, 0, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (regression, 32, GGN, subnetwork) [ Info: Running workflow for: (regression, 32, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (classification_multi, 0, GGN, all) [ Info: Running workflow for: (classification_multi, 0, EmpiricalFisher, all) [ Info: Running workflow for: (classification_multi, 32, GGN, all) [ Info: Running workflow for: (classification_multi, 32, EmpiricalFisher, all) [ Info: Running workflow for: (classification_multi, 0, GGN, last_layer) [ Info: Running workflow for: (classification_multi, 0, EmpiricalFisher, last_layer) [ Info: Running workflow for: (classification_multi, 32, GGN, last_layer) [ Info: Running workflow for: (classification_multi, 32, EmpiricalFisher, last_layer) [ Info: Running workflow for: (classification_multi, 0, GGN, subnetwork) [ Info: Running workflow for: (classification_multi, 0, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (classification_multi, 32, GGN, subnetwork) [ Info: Running workflow for: (classification_multi, 32, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (classification_binary, 0, GGN, all) [ Info: Running workflow for: (classification_binary, 0, EmpiricalFisher, all) [ Info: Running workflow for: (classification_binary, 32, GGN, all) [ Info: Running workflow for: (classification_binary, 32, EmpiricalFisher, all) [ Info: Running workflow for: (classification_binary, 0, GGN, last_layer) [ Info: Running workflow for: (classification_binary, 0, EmpiricalFisher, last_layer) [ Info: Running workflow for: (classification_binary, 32, GGN, last_layer) [ Info: Running workflow for: (classification_binary, 32, EmpiricalFisher, last_layer) [ Info: Running workflow for: (classification_binary, 0, GGN, subnetwork) [ Info: Running workflow for: (classification_binary, 0, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (classification_binary, 32, GGN, subnetwork) [ Info: Running workflow for: (classification_binary, 32, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (regression, GGN, all) [ Info: Running workflow for: (classification_multi, GGN, all) [ Info: Running workflow for: (classification_binary, GGN, all) [ Info: Running workflow for: (regression, EmpiricalFisher, all) [ Info: Running workflow for: (classification_multi, EmpiricalFisher, all) [ Info: Running workflow for: (classification_binary, EmpiricalFisher, all) [ Info: Running workflow for: (regression, GGN, last_layer) [ Info: Running workflow for: (classification_multi, GGN, last_layer) [ Info: Running workflow for: (classification_binary, GGN, last_layer) [ Info: Running workflow for: (regression, EmpiricalFisher, last_layer) [ Info: Running workflow for: (classification_multi, EmpiricalFisher, last_layer) [ Info: Running workflow for: (classification_binary, EmpiricalFisher, last_layer) [ Info: Running workflow for: (regression, GGN, subnetwork) [ Info: Running workflow for: (classification_multi, GGN, subnetwork) [ Info: Running workflow for: (classification_binary, GGN, subnetwork) [ Info: Running workflow for: (regression, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (classification_multi, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (classification_binary, EmpiricalFisher, subnetwork) WARNING: using Distributions.Laplace in module Main conflicts with an existing identifier. [ Info: testing sharpness_regression with distributions [ Info: testing empirical_frequency_regression with distributions [ Info: testing sharpness_classification with distributions [ Info: testing empirical_frequency_classification with distributions [ Info: testing sigma scaling technique ┌ Warning: Layer with Float32 parameters got Float64 input. │ The input will be converted, but any earlier layers may be very slow. │ layer = Dense(2 => 3, σ) # 9 parameters │ summary(x) = "2-element Vector{Float64}" └ @ Flux ~/.julia/packages/Flux/vwk6M/src/layers/stateless.jl:59 [ Info: testing interface for LaplaceRegressor The number of epochs inserted is lower than the number of epochs already been trained. No update is necessary updating only the laplace optimization part [ Info: Training machine(LaplaceRegressor(model = nothing, …), …). ┌ Warning: Warning: no Flux model has been provided in the model. LaplaceRedux will use a standard MLP with 2 hidden layers with 20 neurons each and input and output layers compatible with the dataset. └ @ LaplaceRedux ~/.julia/packages/LaplaceRedux/1bSKz/src/direct_mlj.jl:161 [ Info: Iteration 10: P₀=1.0799709045849228, σ=0.9219656704121201 loss(exp.(logP₀), exp.(logσ)) = 257.3616231110781 Log likelihood: -165.96859381178825 Log det ratio: 129.96285303809475 Scatter: 52.823205560484936 [ Info: Iteration 20: P₀=1.093744515741202, σ=0.9074383381954391 loss(exp.(logP₀), exp.(logσ)) = 257.2097538399338 Log likelihood: -165.83159463974644 Log det ratio: 129.25942219662377 Scatter: 53.496896203750886 [ Info: Iteration 30: P₀=1.124363050292576, σ=0.8815390829761505 loss(exp.(logP₀), exp.(logσ)) = 257.10569152190743 Log likelihood: -165.74069291829352 Log det ratio: 127.73549663496885 Scatter: 54.99450057225901 [ Info: Iteration 40: P₀=1.1336616477299692, σ=0.8749654540660674 loss(exp.(logP₀), exp.(logσ)) = 257.11799844339396 Log likelihood: -165.7517544318514 Log det ratio: 127.28317730568757 Scatter: 55.44931071739749 [ Info: Iteration 50: P₀=1.1317897539901975, σ=0.8771332017705111 loss(exp.(logP₀), exp.(logσ)) = 257.1122927763325 Log likelihood: -165.74649093847182 Log det ratio: 127.37385045064478 Scatter: 55.35775322507657 [ Info: Iteration 60: P₀=1.1288943178826205, σ=0.8796423942296083 loss(exp.(logP₀), exp.(logσ)) = 257.10769829122745 Log likelihood: -165.74239086331983 Log det ratio: 127.5144823133408 Scatter: 55.21613254247442 [ Info: Iteration 70: P₀=1.127019118278124, σ=0.8810915354535372 loss(exp.(logP₀), exp.(logσ)) = 257.10609622898954 Log likelihood: -165.74098562677182 Log det ratio: 127.60580784972315 Scatter: 55.12441335471228 [ Info: Iteration 80: P₀=1.1258079753008978, σ=0.8819359452428843 loss(exp.(logP₀), exp.(logσ)) = 257.10552412363836 Log likelihood: -165.7404888928999 Log det ratio: 127.66489616049984 Scatter: 55.065174300977084 [ Info: Iteration 90: P₀=1.1248866103132782, σ=0.8825705713642793 loss(exp.(logP₀), exp.(logσ)) = 257.10527597747773 Log likelihood: -165.7402708102034 Log det ratio: 127.70990155518017 Scatter: 55.02010877936846 [ Info: Iteration 100: P₀=1.1242087870123938, σ=0.8830943541831443 loss(exp.(logP₀), exp.(logσ)) = 257.1051889170076 Log likelihood: -165.74019079177924 Log det ratio: 127.7430409564315 Scatter: 54.9869552940252 [ Info: Updating machine(LaplaceRegressor(model = Chain(Dense(4 => 20, relu), Dense(20 => 20, relu), Dense(20 => 20, relu), Dense(20 => 1)), …), …). Epoch 100: Loss: 57.91444778538988 [ Info: Iteration 10: P₀=1.0943975094536291, σ=0.5954725924430824 loss(exp.(logP₀), exp.(logσ)) = 312.9171745194128 Log likelihood: -132.5899483184383 Log det ratio: 281.96005142825726 Scatter: 78.69440097369174 [ Info: Iteration 20: P₀=1.0784149923345716, σ=0.730492937308003 loss(exp.(logP₀), exp.(logσ)) = 311.7983718518963 Log likelihood: -131.46493638328965 Log det ratio: 283.12171838548113 Scatter: 77.54515255173222 [ Info: Iteration 30: P₀=1.080539965223215, σ=0.6384826416717854 loss(exp.(logP₀), exp.(logσ)) = 311.2615862353738 Log likelihood: -130.9295325092369 Log det ratio: 282.96615533081246 Scatter: 77.69795212146136 [ Info: Iteration 40: P₀=1.0864468334346613, σ=0.6919240940342857 loss(exp.(logP₀), exp.(logσ)) = 311.0430488663737 Log likelihood: -130.71393538363952 Log det ratio: 282.5355320503557 Scatter: 78.12269491511259 [ Info: Iteration 50: P₀=1.0905422149354864, σ=0.6609964964599907 loss(exp.(logP₀), exp.(logσ)) = 310.95669110354595 Log likelihood: -130.6288445520225 Log det ratio: 282.23851323965704 Scatter: 78.4171798633898 [ Info: Iteration 60: P₀=1.0934553085337504, σ=0.6749614316361536 loss(exp.(logP₀), exp.(logσ)) = 310.92954436673966 Log likelihood: -130.60221757608875 Log det ratio: 282.0280030697102 Scatter: 78.62665051159159 [ Info: Iteration 70: P₀=1.095937696545757, σ=0.6717818666708774 loss(exp.(logP₀), exp.(logσ)) = 310.92552228061663 Log likelihood: -130.5983896854442 Log det ratio: 281.8491146036876 Scatter: 78.80515058665726 [ Info: Iteration 80: P₀=1.0975581113462962, σ=0.6690943761334045 loss(exp.(logP₀), exp.(logσ)) = 310.92673892251827 Log likelihood: -130.59961018290272 Log det ratio: 281.7325883780891 Scatter: 78.921669101142 [ Info: Iteration 90: P₀=1.097631269962698, σ=0.6729621676779917 loss(exp.(logP₀), exp.(logσ)) = 310.9262810267129 Log likelihood: -130.59915017664738 Log det ratio: 281.7273320118221 Scatter: 78.92692968830897 [ Info: Iteration 100: P₀=1.096780003659666, σ=0.6707579302360834 loss(exp.(logP₀), exp.(logσ)) = 310.9254867843176 Log likelihood: -130.59836828451392 Log det ratio: 281.7885189745264 Scatter: 78.86571802508102 ┌ Warning: Warning: no Flux model has been provided in the model. LaplaceRedux will use a standard MLP with 2 hidden layers with 20 neurons each and input and output layers compatible with the dataset. └ @ LaplaceRedux ~/.julia/packages/LaplaceRedux/1bSKz/src/direct_mlj.jl:161 [ Info: testing interface for LaplaceClassifier The number of epochs inserted is lower than the number of epochs already been trained. No update is necessary updating only the laplace optimization part Test Summary: | Pass Total Time LaplaceRedux.jl | 143 143 21m22.2s Testing LaplaceRedux tests passed Testing completed after 1305.34s PkgEval succeeded after 1459.37s