Package evaluation of JointEnergyModels on Julia 1.13.0-DEV.140 (fac1ce7906*) started at 2025-03-02T16:51:46.978 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 7.7s ################################################################################ # Installation # Installing JointEnergyModels... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [48c56d24] + JointEnergyModels v0.1.7 Updating `~/.julia/environments/v1.13/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.2.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.4.0 [a9b6321e] + Atomix v1.1.1 [fbb218c0] + BSON v0.3.9 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [fa961155] + CEnum v0.5.0 [324d7699] + CategoricalArrays v0.10.8 [082447d4] + ChainRules v1.72.3 [d360d2e6] + ChainRulesCore v1.25.1 ⌅ [3da002f7] + ColorTypes v0.11.5 [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 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.20 [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 v0.25.117 [ffbed154] + DocStringExtensions v0.9.3 [f446124b] + EnergySamplers v1.0.3 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [5789e2e9] + FileIO v1.17.0 [1a297f60] + FillArrays v1.13.0 [53c48c17] + FixedPointNumbers v0.8.5 ⌅ [587475ba] + Flux v0.14.25 [f6369f11] + ForwardDiff v0.10.38 ⌅ [d9f16b24] + Functors v0.4.12 [0c68f7d7] + GPUArrays v11.2.2 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.27 [7869d1d1] + IRTools v0.4.14 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [033835bb] + JLD2 v0.5.11 [692b3bcd] + JLLWrappers v1.7.0 [48c56d24] + JointEnergyModels v0.1.7 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.34 [929cbde3] + LLVM v9.2.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [c2834f40] + MLCore v1.0.0 ⌃ [7e8f7934] + MLDataDevices v1.5.3 ⌅ [094fc8d1] + MLJFlux v0.5.1 [e80e1ace] + MLJModelInterface v1.11.0 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.7 [1914dd2f] + MacroTools v0.5.15 [dbeba491] + Metalhead v0.9.5 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [872c559c] + NNlib v0.9.28 [77ba4419] + NaNMath v1.1.2 [71a1bf82] + NameResolution v0.1.5 [0b1bfda6] + OneHotArrays v0.2.6 ⌅ [3bd65402] + Optimisers v0.3.4 [bac558e1] + OrderedCollections v1.8.0 [90014a1f] + PDMats v0.11.32 [570af359] + PartialFunctions v1.2.0 [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [8162dcfd] + PrettyPrint v0.2.0 [33c8b6b6] + ProgressLogging v0.1.4 [92933f4c] + ProgressMeter v1.10.2 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [c1ae055f] + RealDot v0.1.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [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 v2.5.0 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.4.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.0 [2913bbd2] + StatsBase v0.34.4 [4c63d2b9] + StatsFuns v1.3.2 [09ab397b] + StructArrays v0.7.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [10284c91] + TaijaBase v1.2.3 [3bb67fe8] + TranscodingStreams v0.11.3 [28d57a85] + Transducers v0.4.84 [013be700] + UnsafeAtomics v0.3.0 ⌅ [e88e6eb3] + Zygote v0.6.75 [700de1a5] + ZygoteRules v0.2.7 [dad2f222] + LLVMExtra_jll v0.0.35+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.12.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + 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 v1.3.0+1 [deac9b47] + LibCURL_jll v8.11.1+1 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2024.12.31 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.0.16+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.12.0+0 [8e850ede] + nghttp2_jll v1.64.0+1 [3f19e933] + p7zip_jll v17.5.0+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 5.5s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 421.79s ################################################################################ # Testing # Testing JointEnergyModels Test Could not use exact versions of packages in manifest. Re-resolving dependencies Updating `/tmp/jl_Q0IjMS/Project.toml` [4c88cf16] ↑ Aqua v0.8.7 ⇒ v0.8.11 [5224ae11] ↑ CompatHelperLocal v0.1.26 ⇒ v0.1.27 [31c24e10] ↑ Distributions v0.25.111 ⇒ v0.25.117 ⌅ [587475ba] ↑ Flux v0.14.19 ⇒ v0.14.25 [48c56d24] + JointEnergyModels v0.1.7 [8dfed614] ~ Test ⇒ v1.11.0 Updating `/tmp/jl_Q0IjMS/Manifest.toml` [7d9f7c33] ↑ Accessors v0.1.37 ⇒ v0.1.42 [79e6a3ab] ↑ Adapt v4.0.4 ⇒ v4.2.0 [4c88cf16] ↑ Aqua v0.8.7 ⇒ v0.8.11 [dce04be8] ↑ ArgCheck v2.3.0 ⇒ v2.4.0 [a9b6321e] ↑ Atomix v0.1.0 ⇒ v1.1.1 [198e06fe] ↑ BangBang v0.4.3 ⇒ v0.4.4 [082447d4] ↑ ChainRules v1.69.0 ⇒ v1.72.3 [d360d2e6] ↑ ChainRulesCore v1.24.0 ⇒ v1.25.1 [5224ae11] ↑ CompatHelperLocal v0.1.26 ⇒ v0.1.27 [31c24e10] ↑ Distributions v0.25.111 ⇒ v0.25.117 [f446124b] + EnergySamplers v1.0.3 [5789e2e9] ↑ FileIO v1.16.3 ⇒ v1.17.0 ⌅ [587475ba] ↑ Flux v0.14.19 ⇒ v0.14.25 [f6369f11] ↑ ForwardDiff v0.10.36 ⇒ v0.10.38 [0c68f7d7] ↑ GPUArrays v10.3.1 ⇒ v11.2.2 [46192b85] ↑ GPUArraysCore v0.1.6 ⇒ v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] ↑ HypergeometricFunctions v0.3.24 ⇒ v0.3.27 [3587e190] ↑ InverseFunctions v0.1.16 ⇒ v0.1.17 [41ab1584] ↑ InvertedIndices v1.3.0 ⇒ v1.3.1 [92d709cd] ↑ IrrationalConstants v0.2.2 ⇒ v0.2.4 [033835bb] ↑ JLD2 v0.4.53 ⇒ v0.5.11 [692b3bcd] ↑ JLLWrappers v1.6.0 ⇒ v1.7.0 [48c56d24] + JointEnergyModels v0.1.7 [63c18a36] ↑ KernelAbstractions v0.9.25 ⇒ v0.9.34 [929cbde3] ↑ LLVM v9.0.0 ⇒ v9.2.0 [b964fa9f] ↑ LaTeXStrings v1.3.1 ⇒ v1.4.0 [2ab3a3ac] ↑ LogExpFunctions v0.3.28 ⇒ v0.3.29 [c2834f40] + MLCore v1.0.0 ⌃ [7e8f7934] + MLDataDevices v1.5.3 [f1d291b0] ↑ MLUtils v0.4.4 ⇒ v0.4.7 [1914dd2f] ↑ MacroTools v0.5.13 ⇒ v0.5.15 [dbeba491] ↑ Metalhead v0.9.3 ⇒ v0.9.5 [872c559c] ↑ NNlib v0.9.23 ⇒ v0.9.28 [77ba4419] ↑ NaNMath v1.0.2 ⇒ v1.1.2 [0b1bfda6] ↑ OneHotArrays v0.2.5 ⇒ v0.2.6 ⌅ [3bd65402] ↑ Optimisers v0.3.3 ⇒ v0.3.4 [bac558e1] ↑ OrderedCollections v1.6.3 ⇒ v1.8.0 [90014a1f] ↑ PDMats v0.11.31 ⇒ v0.11.32 [08abe8d2] ↑ PrettyTables v2.3.2 ⇒ v2.4.0 [43287f4e] ↑ PtrArrays v1.2.1 ⇒ v1.3.0 [1fd47b50] ↑ QuadGK v2.11.0 ⇒ v2.11.2 [ae029012] ↑ Requires v1.3.0 ⇒ v1.3.1 [79098fc4] ↑ Rmath v0.7.1 ⇒ v0.8.0 [321657f4] ↑ ScientificTypes v3.0.2 ⇒ v3.1.0 [7e506255] + ScopedValues v1.3.0 [efcf1570] ↑ Setfield v1.1.1 ⇒ v1.1.2 [276daf66] ↑ SpecialFunctions v2.4.0 ⇒ v2.5.0 [90137ffa] ↑ StaticArrays v1.9.7 ⇒ v1.9.13 [c062fc1d] ↑ StatisticalMeasuresBase v0.1.1 ⇒ v0.1.2 [10745b16] ↑ Statistics v1.10.0 ⇒ v1.11.1 [2913bbd2] ↑ StatsBase v0.34.3 ⇒ v0.34.4 [4c63d2b9] ↑ StatsFuns v1.3.1 ⇒ v1.3.2 [892a3eda] ↑ StringManipulation v0.3.4 ⇒ v0.4.1 [09ab397b] ↑ StructArrays v0.6.18 ⇒ v0.7.0 [10284c91] + TaijaBase v1.2.3 [3bb67fe8] ↑ TranscodingStreams v0.11.2 ⇒ v0.11.3 [28d57a85] ↑ Transducers v0.4.82 ⇒ v0.4.84 [013be700] ↑ UnsafeAtomics v0.2.1 ⇒ v0.3.0 [d80eeb9a] - UnsafeAtomicsLLVM v0.2.1 ⌅ [e88e6eb3] ↑ Zygote v0.6.70 ⇒ v0.6.75 [700de1a5] ↑ ZygoteRules v0.2.5 ⇒ v0.2.7 [dad2f222] ↑ LLVMExtra_jll v0.0.33+0 ⇒ v0.0.35+0 [c8ffd9c3] - MbedTLS_jll v2.28.2+1 [efe28fd5] ↑ OpenSpecFun_jll v0.5.5+0 ⇒ v0.5.6+0 [f50d1b31] ↑ Rmath_jll v0.4.3+0 ⇒ v0.5.1+0 [0dad84c5] ↑ ArgTools v1.1.1 ⇒ v1.1.2 [56f22d72] ~ Artifacts ⇒ v1.11.0 [2a0f44e3] ~ Base64 ⇒ v1.11.0 [ade2ca70] ~ Dates ⇒ v1.11.0 [8ba89e20] ~ Distributed ⇒ v1.11.0 [f43a241f] ↑ Downloads v1.6.0 ⇒ v1.7.0 [7b1f6079] ~ FileWatching ⇒ v1.11.0 [9fa8497b] ~ Future ⇒ v1.11.0 [b77e0a4c] ~ InteractiveUtils ⇒ v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] ~ LazyArtifacts ⇒ v1.11.0 [76f85450] ~ LibGit2 ⇒ v1.11.0 [8f399da3] ~ Libdl ⇒ v1.11.0 [37e2e46d] ~ LinearAlgebra ⇒ v1.12.0 [56ddb016] ~ Logging ⇒ v1.11.0 [d6f4376e] ~ Markdown ⇒ v1.11.0 [a63ad114] ~ Mmap ⇒ v1.11.0 [ca575930] ↑ NetworkOptions v1.2.0 ⇒ v1.3.0 [44cfe95a] ↑ Pkg v1.10.0 ⇒ v1.12.0 [de0858da] ~ Printf ⇒ v1.11.0 [3fa0cd96] - REPL [9a3f8284] ~ Random ⇒ v1.11.0 [9e88b42a] ~ Serialization ⇒ v1.11.0 [6462fe0b] ~ Sockets ⇒ v1.11.0 [2f01184e] ↑ SparseArrays v1.10.0 ⇒ v1.12.0 [f489334b] + StyledStrings v1.11.0 [8dfed614] ~ Test ⇒ v1.11.0 [cf7118a7] ~ UUIDs ⇒ v1.11.0 [4ec0a83e] ~ Unicode ⇒ v1.11.0 [e66e0078] ↑ CompilerSupportLibraries_jll v1.1.1+0 ⇒ v1.3.0+1 [deac9b47] ↑ LibCURL_jll v8.4.0+0 ⇒ v8.11.1+1 [e37daf67] ↑ LibGit2_jll v1.6.4+0 ⇒ v1.9.0+0 [29816b5a] ↑ LibSSH2_jll v1.11.0+1 ⇒ v1.11.3+1 [14a3606d] ↑ MozillaCACerts_jll v2023.1.10 ⇒ v2024.12.31 [4536629a] ↑ OpenBLAS_jll v0.3.23+4 ⇒ v0.3.29+0 [05823500] ↑ OpenLibm_jll v0.8.1+2 ⇒ v0.8.5+0 [458c3c95] + OpenSSL_jll v3.0.16+0 [bea87d4a] ↑ SuiteSparse_jll v7.2.1+1 ⇒ v7.8.3+2 [83775a58] ↑ Zlib_jll v1.2.13+1 ⇒ v1.3.1+2 [8e850b90] ↑ libblastrampoline_jll v5.11.0+0 ⇒ v5.12.0+0 [8e850ede] ↑ nghttp2_jll v1.52.0+1 ⇒ v1.64.0+1 [3f19e933] ↑ p7zip_jll v17.4.0+2 ⇒ v17.5.0+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` Test Successfully re-resolved Status `/tmp/jl_Q0IjMS/Project.toml` [4c88cf16] Aqua v0.8.11 [5224ae11] CompatHelperLocal v0.1.27 [31c24e10] Distributions v0.25.117 ⌅ [587475ba] Flux v0.14.25 [48c56d24] JointEnergyModels v0.1.7 [a7f614a8] MLJBase v1.7.0 ⌅ [094fc8d1] MLJFlux v0.5.1 [8dfed614] Test v1.11.0 Status `/tmp/jl_Q0IjMS/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.2.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.11 [dce04be8] ArgCheck v2.4.0 [a9b6321e] Atomix v1.1.1 [fbb218c0] BSON v0.3.9 [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 v1.72.3 [d360d2e6] ChainRulesCore v1.25.1 ⌅ [3da002f7] ColorTypes v0.11.5 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.16.0 [5224ae11] CompatHelperLocal v0.1.27 [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 v0.18.20 [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 v0.25.117 [ffbed154] DocStringExtensions v0.9.3 [f446124b] EnergySamplers v1.0.3 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [5789e2e9] FileIO v1.17.0 [1a297f60] FillArrays v1.13.0 [53c48c17] FixedPointNumbers v0.8.5 ⌅ [587475ba] Flux v0.14.25 [f6369f11] ForwardDiff v0.10.38 ⌅ [d9f16b24] Functors v0.4.12 [0c68f7d7] GPUArrays v11.2.2 [46192b85] GPUArraysCore v0.2.0 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.27 [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 [033835bb] JLD2 v0.5.11 [692b3bcd] JLLWrappers v1.7.0 [48c56d24] JointEnergyModels v0.1.7 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.34 [929cbde3] LLVM v9.2.0 [b964fa9f] LaTeXStrings v1.4.0 ⌅ [92ad9a40] LearnAPI v0.1.0 [2ab3a3ac] LogExpFunctions v0.3.29 [c2834f40] MLCore v1.0.0 ⌃ [7e8f7934] MLDataDevices v1.5.3 [a7f614a8] MLJBase v1.7.0 ⌅ [094fc8d1] MLJFlux v0.5.1 [e80e1ace] MLJModelInterface v1.11.0 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.7 [1914dd2f] MacroTools v0.5.15 [dbeba491] Metalhead v0.9.5 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [872c559c] NNlib v0.9.28 [77ba4419] NaNMath v1.1.2 [71a1bf82] NameResolution v0.1.5 [0b1bfda6] OneHotArrays v0.2.6 ⌅ [3bd65402] Optimisers v0.3.4 [bac558e1] OrderedCollections v1.8.0 [90014a1f] PDMats v0.11.32 [d96e819e] Parameters v0.12.3 [570af359] PartialFunctions v1.2.0 [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 v1.10.2 [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 v2.5.0 [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 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.0 [2913bbd2] StatsBase v0.34.4 [4c63d2b9] StatsFuns v1.3.2 [892a3eda] StringManipulation v0.4.1 [09ab397b] StructArrays v0.7.0 [3783bdb8] TableTraits 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v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] 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 v1.3.0+1 [deac9b47] LibCURL_jll v8.11.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2024.12.31 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.0.16+0 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.12.0+0 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.5.0+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... [ Info: Training machine(JointEnergyClassifier(builder = MLP(hidden = (32, 32, 32), …), …), …). Optimising neural net: 2%[> ] ETA: 3:16:22 Optimising neural net: 3%[> ] ETA: 2:10:25 Optimising neural net: 4%[=> ] ETA: 1:37:26 Optimising neural net: 5%[=> ] ETA: 1:17:38 Optimising neural net: 6%[=> ] ETA: 1:04:24 Optimising neural net: 7%[=> ] ETA: 0:54:57 Optimising neural net: 8%[==> ] ETA: 0:47:50 Optimising neural net: 9%[==> ] ETA: 0:42:18 Optimising neural net: 10%[==> ] ETA: 0:37:52 Optimising neural net: 11%[==> ] ETA: 0:34:15 Optimising neural net: 12%[===> ] ETA: 0:31:14 Optimising neural net: 13%[===> ] ETA: 0:28:40 Optimising neural net: 14%[===> ] ETA: 0:26:29 Optimising neural net: 15%[===> ] ETA: 0:24:34 Optimising neural net: 16%[====> ] ETA: 0:22:53 Optimising neural net: 17%[====> ] ETA: 0:21:25 Optimising neural net: 18%[====> ] ETA: 0:20:05 Optimising neural net: 19%[====> ] ETA: 0:18:54 Optimising neural net: 20%[=====> ] ETA: 0:17:50 Optimising neural net: 21%[=====> ] ETA: 0:16:52 [ Info: Training losses/accuracy in epoch 20: Classification: 0.0008638037368655204 Generative: -5.313276499509812e-5 Regularisation: 0.0004909364357590676 Total: 0.0005129262146539987 Accuracy: 0.9885000000000002 Optimising neural net: 22%[=====> ] ETA: 0:16:00 Optimising neural net: 23%[=====> ] ETA: 0:15:11 Optimising neural net: 24%[======> ] ETA: 0:14:27 Optimising neural net: 25%[======> ] ETA: 0:13:46 Optimising neural net: 26%[======> ] ETA: 0:13:07 Optimising neural net: 27%[======> ] ETA: 0:12:32 Optimising neural net: 28%[=======> ] ETA: 0:11:59 Optimising neural net: 29%[=======> ] ETA: 0:11:28 Optimising neural net: 30%[=======> ] ETA: 0:10:59 Optimising neural net: 31%[=======> ] ETA: 0:10:32 Optimising neural net: 32%[========> ] ETA: 0:10:07 Optimising neural net: 33%[========> ] ETA: 0:09:43 Optimising neural net: 34%[========> ] ETA: 0:09:20 Optimising neural net: 35%[========> ] ETA: 0:08:59 Optimising neural net: 36%[=========> ] ETA: 0:08:38 Optimising neural net: 37%[=========> ] ETA: 0:08:19 Optimising neural net: 38%[=========> ] ETA: 0:08:00 Optimising neural net: 39%[=========> ] ETA: 0:07:43 Optimising neural net: 40%[==========> ] ETA: 0:07:26 Optimising neural net: 41%[==========> ] ETA: 0:07:10 [ Info: Training losses/accuracy in epoch 40: Classification: 0.0006689326129853725 Generative: -0.0036960342228412628 Regularisation: 0.0025788425356149673 Total: -0.0022921266593039034 Accuracy: 0.9689999999999998 Optimising neural net: 42%[==========> ] ETA: 0:06:55 Optimising neural net: 43%[==========> ] ETA: 0:06:40 Optimising neural net: 44%[===========> ] ETA: 0:06:26 Optimising neural net: 45%[===========> ] ETA: 0:06:13 Optimising neural net: 46%[===========> ] ETA: 0:06:00 Optimising neural net: 47%[===========> ] ETA: 0:05:47 Optimising neural net: 48%[============> ] ETA: 0:05:35 Optimising neural net: 49%[============> ] ETA: 0:05:24 Optimising neural net: 50%[============> ] ETA: 0:05:12 Optimising neural net: 51%[============> ] ETA: 0:05:02 Optimising neural net: 52%[=============> ] ETA: 0:04:51 Optimising neural net: 53%[=============> ] ETA: 0:04:41 Optimising neural net: 54%[=============> ] ETA: 0:04:31 Optimising neural net: 55%[=============> ] ETA: 0:04:22 Optimising neural net: 56%[==============> ] ETA: 0:04:13 Optimising neural net: 57%[==============> ] ETA: 0:04:04 Optimising neural net: 58%[==============> ] ETA: 0:03:55 Optimising neural net: 59%[==============> ] ETA: 0:03:46 Optimising neural net: 60%[===============> ] ETA: 0:03:38 Optimising neural net: 61%[===============> ] ETA: 0:03:30 [ Info: Training losses/accuracy in epoch 60: Classification: 0.00031165188737213614 Generative: -0.004870342120528221 Regularisation: 0.004498051986098289 Total: -0.0024800076600164176 Accuracy: 0.9890000000000001 Optimising neural net: 62%[===============> ] ETA: 0:03:23 Optimising neural net: 63%[===============> ] ETA: 0:03:15 Optimising neural net: 64%[================> ] ETA: 0:03:08 Optimising neural net: 65%[================> ] ETA: 0:03:00 Optimising neural net: 66%[================> ] ETA: 0:02:53 Optimising neural net: 67%[================> ] ETA: 0:02:46 Optimising neural net: 68%[=================> ] ETA: 0:02:40 Optimising neural net: 69%[=================> ] ETA: 0:02:33 Optimising neural net: 70%[=================> ] ETA: 0:02:27 Optimising neural net: 71%[=================> ] ETA: 0:02:20 Optimising neural net: 72%[==================> ] ETA: 0:02:14 Optimising neural net: 73%[==================> ] ETA: 0:02:08 Optimising neural net: 74%[==================> ] ETA: 0:02:02 Optimising neural net: 75%[==================> ] ETA: 0:01:57 Optimising neural net: 76%[===================> ] ETA: 0:01:51 Optimising neural net: 77%[===================> ] ETA: 0:01:45 Optimising neural net: 78%[===================> ] ETA: 0:01:40 Optimising neural net: 79%[===================> ] ETA: 0:01:35 Optimising neural net: 80%[====================> ] ETA: 0:01:29 Optimising neural net: 81%[====================> ] ETA: 0:01:24 [ Info: Training losses/accuracy in epoch 80: Classification: 0.00031895184144377706 Generative: -0.0170266210436821 Regularisation: 0.1368290427029133 Total: -0.006742405173927544 Accuracy: 0.99 Optimising neural net: 82%[====================> ] ETA: 0:01:19 Optimising neural net: 83%[====================> ] ETA: 0:01:14 Optimising neural net: 84%[=====================> ] ETA: 0:01:09 Optimising neural net: 85%[=====================> ] ETA: 0:01:04 Optimising neural net: 86%[=====================> ] ETA: 0:01:00 Optimising neural net: 87%[=====================> ] ETA: 0:00:55 Optimising neural net: 88%[======================> ] ETA: 0:00:50 Optimising neural net: 89%[======================> ] ETA: 0:00:46 Optimising neural net: 90%[======================> ] ETA: 0:00:41 Optimising neural net: 91%[======================> ] ETA: 0:00:37 Optimising neural net: 92%[=======================> ] ETA: 0:00:33 Optimising neural net: 93%[=======================> ] ETA: 0:00:28 Optimising neural net: 94%[=======================> ] ETA: 0:00:24 Optimising neural net: 95%[=======================> ] ETA: 0:00:20 Optimising neural net: 96%[========================>] ETA: 0:00:16 Optimising neural net: 97%[========================>] ETA: 0:00:12 Optimising neural net: 98%[========================>] ETA: 0:00:08 Optimising neural net: 99%[========================>] ETA: 0:00:04 Optimising neural net: 100%[=========================] Time: 0:06:26 [ Info: Training losses/accuracy in epoch 100: Classification: 0.00025665739178657533 Generative: -0.017625952780246736 Regularisation: 0.09327334755659103 Total: -0.00894187529683113 Accuracy: 0.9884999999999999 Test Summary: | Pass Total Time JointEnergyModels.jl | 14 14 9m36.5s Testing JointEnergyModels tests passed Testing completed after 621.58s PkgEval succeeded after 1078.93s