Package evaluation of MCMCTempering on Julia 1.13.0-DEV.853 (3e868b27cf*) started at 2025-07-17T05:06:20.662 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.25s ################################################################################ # Installation # Installing MCMCTempering... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [ce233488] + MCMCTempering v0.3.2 Updating `~/.julia/environments/v1.13/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 ⌅ [80f14c24] + AbstractMCMC v4.4.2 [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.7 ⌅ [198e06fe] + BangBang v0.3.40 [9718e550] + Baselet v0.1.1 [d360d2e6] + ChainRulesCore v1.25.2 [34da2185] + Compat v4.17.0 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.6.0 [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 [31c24e10] + Distributions v0.25.120 [ffbed154] + DocStringExtensions v0.9.5 [7a1cc6ca] + FFTW v1.9.0 [1a297f60] + FillArrays v1.13.0 [34004b35] + HypergeometricFunctions v0.3.28 [22cec73e] + InitialValues v0.3.1 [a98d9a8b] + Interpolations v0.16.1 [8197267c] + IntervalSets v0.7.11 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [5ab0869b] + KernelDensity v0.6.10 [b964fa9f] + LaTeXStrings v1.4.0 [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 [ce233488] + MCMCTempering v0.3.2 [e80e1ace] + MLJModelInterface v1.11.1 [1914dd2f] + MacroTools v0.5.16 ⌅ [128add7d] + MicroCollections v0.1.4 [e1d29d7a] + Missings v1.2.0 [c020b1a1] + NaturalSort v1.0.0 [6fe1bfb0] + OffsetArrays v1.17.0 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [33c8b6b6] + ProgressLogging v0.1.5 [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 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [30f210dd] + ScientificTypesBase v3.0.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.1 [276daf66] + SpecialFunctions v2.5.1 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.14 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 [4c63d2b9] + StatsFuns v1.5.0 [892a3eda] + StringManipulation v0.4.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [5d786b92] + TerminalLoggers v0.1.7 ⌃ [28d57a85] + Transducers v0.4.80 [efce3f68] + WoodburyMatrices v1.0.0 [f5851436] + FFTW_jll v3.3.11+0 [1d5cc7b8] + IntelOpenMP_jll v2025.0.4+0 [856f044c] + MKL_jll v2025.0.1+1 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [1317d2d5] + oneTBB_jll v2022.0.0+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 v1.13.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays 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 v8.14.1+1 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.1+0 [efcefdf7] + PCRE2_jll v10.45.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.65.0+0 [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 4.44s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/iS95e/src/julia-1.11/activate_set.jl:75 Precompiling package dependencies... Precompilation completed after 896.48s ################################################################################ # Testing # Testing MCMCTempering Test Could not use exact versions of packages in manifest. Re-resolving dependencies Updating `/tmp/jl_XWKRNc/Project.toml` ⌅ [0bf59076] + AdvancedHMC v0.4.6 ⌅ [5b7e9947] + AdvancedMH v0.7.5 ⌅ [76274a88] + Bijectors v0.10.8 [a93c6f00] + DataFrames v1.7.0 ⌅ [f6369f11] + ForwardDiff v0.10.38 [996a588d] + LogDensityProblemsAD v1.13.1 [ce233488] + MCMCTempering v0.3.2 ⌅ [fce5fe82] + Turing v0.24.4 Updating `/tmp/jl_XWKRNc/Manifest.toml` ⌅ [7a57a42e] + AbstractPPL v0.5.4 [7d9f7c33] + Accessors v0.1.42 ⌅ [79e6a3ab] ↓ Adapt v4.3.0 ⇒ v3.7.2 ⌅ [0bf59076] + AdvancedHMC v0.4.6 ⌅ [5b7e9947] + AdvancedMH v0.7.5 ⌅ [576499cb] + AdvancedPS v0.4.3 ⌅ [b5ca4192] + AdvancedVI v0.1.6 ⌃ [4fba245c] + ArrayInterface v7.7.1 [a9b6321e] + Atomix v1.1.1 ⌅ [76274a88] + Bijectors v0.10.8 [082447d4] + ChainRules v1.72.5 [9e997f8a] + ChangesOfVariables v0.1.10 [861a8166] + Combinatorics v1.0.3 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [2569d6c7] + ConcreteStructs v0.2.3 [a93c6f00] + DataFrames v1.7.0 [8bb1440f] + DelimitedFiles v1.9.1 [b429d917] + DensityInterface v0.4.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ced4e74d] + DistributionsAD v0.6.58 ⌅ [366bfd00] + DynamicPPL v0.21.6 ⌅ [cad2338a] + EllipticalSliceSampling v1.1.0 [4e289a0a] + EnumX v1.0.5 [e2ba6199] + ExprTools v0.1.10 ⌅ [f6369f11] + ForwardDiff v0.10.38 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 ⌅ [d9f16b24] + Functors v0.3.0 ⌅ [46192b85] + GPUArraysCore v0.1.5 [076d061b] + HashArrayMappedTries v0.2.0 [842dd82b] + InlineStrings v1.4.4 [505f98c9] + InplaceOps v0.3.0 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [63c18a36] + KernelAbstractions v0.9.37 [8ac3fa9e] + LRUCache v1.6.2 [50d2b5c4] + Lazy v0.15.1 ⌅ [6f1fad26] + Libtask v0.8.8 [996a588d] + LogDensityProblemsAD v1.13.1 [ce233488] + MCMCTempering v0.3.2 [dbb5928d] + MappedArrays v0.4.2 [872c559c] + NNlib v0.9.30 [77ba4419] + NaNMath v1.1.3 ⌅ [86f7a689] + NamedArrays v0.9.8 ⌃ [3bd65402] + Optimisers v0.2.15 [2dfb63ee] + PooledArrays v1.4.3 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [c1ae055f] + RealDot v0.1.0 ⌅ [731186ca] + RecursiveArrayTools v2.38.10 [f2b01f46] + Roots v2.2.8 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 ⌅ [0bca4576] + SciMLBase v1.92.0 ⌅ [c0aeaf25] + SciMLOperators v0.2.12 [7e506255] + ScopedValues v1.4.0 [91c51154] + SentinelArrays v1.4.8 [ce78b400] + SimpleUnPack v1.1.0 [dc90abb0] + SparseInverseSubset v0.1.2 ⌅ [2913bbd2] ↓ StatsBase v0.34.5 ⇒ v0.33.21 ⌃ [09ab397b] + StructArrays v0.6.18 ⌅ [2efcf032] + SymbolicIndexingInterface v0.2.2 [9f7883ad] + Tracker v0.2.38 [410a4b4d] + Tricks v0.1.10 [781d530d] + TruncatedStacktraces v1.4.0 ⌅ [fce5fe82] + Turing v0.24.4 [013be700] + UnsafeAtomics v0.3.0 [700de1a5] + ZygoteRules v0.2.7 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_XWKRNc/Project.toml` ⌅ [80f14c24] AbstractMCMC v4.4.2 ⌅ [0bf59076] AdvancedHMC v0.4.6 ⌅ [5b7e9947] AdvancedMH v0.7.5 ⌅ [76274a88] Bijectors v0.10.8 [a93c6f00] DataFrames v1.7.0 [31c24e10] Distributions v0.25.120 [1a297f60] FillArrays v1.13.0 ⌅ [f6369f11] ForwardDiff v0.10.38 [6fdf6af0] LogDensityProblems v2.1.2 [996a588d] LogDensityProblemsAD v1.13.1 ⌅ [c7f686f2] MCMCChains v6.0.7 [be115224] MCMCDiagnosticTools v0.3.14 [ce233488] MCMCTempering v0.3.2 [efcf1570] Setfield v1.1.2 [10745b16] Statistics v1.11.1 ⌅ [fce5fe82] Turing v0.24.4 [37e2e46d] LinearAlgebra v1.12.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_XWKRNc/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 ⌅ [80f14c24] AbstractMCMC v4.4.2 ⌅ [7a57a42e] AbstractPPL v0.5.4 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 ⌅ [79e6a3ab] Adapt v3.7.2 ⌅ [0bf59076] AdvancedHMC v0.4.6 ⌅ [5b7e9947] AdvancedMH v0.7.5 ⌅ [576499cb] AdvancedPS v0.4.3 ⌅ [b5ca4192] AdvancedVI v0.1.6 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 ⌃ [4fba245c] ArrayInterface v7.7.1 [a9b6321e] Atomix v1.1.1 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.7 ⌅ [198e06fe] BangBang v0.3.40 [9718e550] Baselet v0.1.1 ⌅ [76274a88] Bijectors v0.10.8 [082447d4] ChainRules v1.72.5 [d360d2e6] ChainRulesCore v1.25.2 [9e997f8a] ChangesOfVariables v0.1.10 [861a8166] Combinatorics v1.0.3 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.17.0 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [88cd18e8] ConsoleProgressMonitor v0.1.2 [187b0558] ConstructionBase v1.6.0 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.7.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [b429d917] DensityInterface v0.4.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [31c24e10] Distributions v0.25.120 [ced4e74d] DistributionsAD v0.6.58 [ffbed154] DocStringExtensions v0.9.5 ⌅ [366bfd00] DynamicPPL v0.21.6 ⌅ [cad2338a] EllipticalSliceSampling v1.1.0 [4e289a0a] EnumX v1.0.5 [e2ba6199] ExprTools v0.1.10 [7a1cc6ca] FFTW v1.9.0 [1a297f60] FillArrays v1.13.0 ⌅ [f6369f11] ForwardDiff v0.10.38 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 ⌅ [d9f16b24] Functors v0.3.0 ⌅ [46192b85] GPUArraysCore v0.1.5 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.4 [505f98c9] InplaceOps v0.3.0 [a98d9a8b] Interpolations v0.16.1 [8197267c] IntervalSets v0.7.11 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [63c18a36] KernelAbstractions v0.9.37 [5ab0869b] KernelDensity v0.6.10 [8ac3fa9e] LRUCache v1.6.2 [b964fa9f] LaTeXStrings v1.4.0 [50d2b5c4] Lazy v0.15.1 [1d6d02ad] LeftChildRightSiblingTrees v0.2.0 ⌅ [6f1fad26] Libtask v0.8.8 [6fdf6af0] LogDensityProblems v2.1.2 [996a588d] LogDensityProblemsAD v1.13.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.1.0 ⌅ [c7f686f2] MCMCChains v6.0.7 [be115224] MCMCDiagnosticTools v0.3.14 [ce233488] MCMCTempering v0.3.2 [e80e1ace] MLJModelInterface v1.11.1 [1914dd2f] MacroTools v0.5.16 [dbb5928d] MappedArrays v0.4.2 ⌅ [128add7d] MicroCollections v0.1.4 [e1d29d7a] Missings v1.2.0 [872c559c] NNlib v0.9.30 [77ba4419] NaNMath v1.1.3 ⌅ [86f7a689] NamedArrays v0.9.8 [c020b1a1] NaturalSort v1.0.0 [6fe1bfb0] OffsetArrays v1.17.0 ⌃ [3bd65402] Optimisers v0.2.15 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.35 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [08abe8d2] PrettyTables v2.4.0 [33c8b6b6] ProgressLogging v0.1.5 [92933f4c] ProgressMeter v1.10.4 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [74087812] Random123 v1.7.1 [e6cf234a] RandomNumbers v1.6.0 [b3c3ace0] RangeArrays v0.3.2 [c84ed2f1] Ratios v0.4.5 [c1ae055f] RealDot v0.1.0 [3cdcf5f2] RecipesBase v1.3.4 ⌅ [731186ca] RecursiveArrayTools v2.38.10 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 [f2b01f46] Roots v2.2.8 [7e49a35a] RuntimeGeneratedFunctions v0.5.15 ⌅ [0bca4576] SciMLBase v1.92.0 ⌅ [c0aeaf25] SciMLOperators v0.2.12 [30f210dd] ScientificTypesBase v3.0.0 [7e506255] ScopedValues v1.4.0 [91c51154] SentinelArrays v1.4.8 [efcf1570] Setfield v1.1.2 [ce78b400] SimpleUnPack v1.1.0 [a2af1166] SortingAlgorithms v1.2.1 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.5.1 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.14 [1e83bf80] StaticArraysCore v1.4.3 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 ⌅ [2913bbd2] StatsBase v0.33.21 [4c63d2b9] StatsFuns v1.5.0 [892a3eda] StringManipulation v0.4.1 ⌃ [09ab397b] StructArrays v0.6.18 ⌅ [2efcf032] SymbolicIndexingInterface v0.2.2 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [5d786b92] TerminalLoggers v0.1.7 [9f7883ad] Tracker v0.2.38 ⌃ [28d57a85] Transducers v0.4.80 [410a4b4d] Tricks v0.1.10 [781d530d] TruncatedStacktraces v1.4.0 ⌅ [fce5fe82] Turing v0.24.4 [013be700] UnsafeAtomics v0.3.0 [efce3f68] WoodburyMatrices v1.0.0 [700de1a5] ZygoteRules v0.2.7 [f5851436] FFTW_jll v3.3.11+0 [1d5cc7b8] IntelOpenMP_jll v2025.0.4+0 [856f044c] MKL_jll v2025.0.1+1 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [1317d2d5] oneTBB_jll v2022.0.0+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 v1.13.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays 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 v8.14.1+1 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.1+0 [efcefdf7] PCRE2_jll v10.45.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.65.0+0 [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... WARNING: Method definition (::Type{Main.StateHistoryCallback{A, F} where F where A})(Any, Any) in module Main at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/utils.jl:17 overwritten at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/utils.jl:21. Precompiling packages... 84626.7 ms ✓ DataFrames 1 dependency successfully precompiled in 85 seconds. 34 already precompiled. Precompiling packages... 9413.4 ms ✓ BangBang → BangBangDataFramesExt 1 dependency successfully precompiled in 10 seconds. 43 already precompiled. Precompiling packages... 7991.4 ms ✓ Transducers → TransducersDataFramesExt 1 dependency successfully precompiled in 8 seconds. 56 already precompiled. The temperature was sorted to ensure decreasing order. ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 317.376 │ :param_1 => 467.978 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 723.065 └ :param_1 => 472.295 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 317.376 │ :param_1 => 467.978 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 670.811 └ :param_1 => 525.687 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 317.376 │ :param_1 => 467.978 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 406.182 └ :param_1 => 280.097 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 317.376 │ :param_1 => 467.978 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 490.983 └ :param_1 => 410.775 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 317.376 │ :param_1 => 467.978 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 495.057 └ :param_1 => 507.888 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1538.14 │ :s => 1755.36 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1740.08 └ :s => 1561.85 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1538.14 │ :s => 1755.36 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 2652.54 └ :s => 2925.51 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 218.079 │ :s => 402.421 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 167.802 └ :s => 401.329 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 218.079 │ :s => 402.421 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1130.05 └ :s => 1057.57 ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (0.9652408124433183, 1.0, 0.07932456105195781) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.144669121036627, 1.118033988749895, 0.0837477061620911) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.3272656300226366, 1.25, 0.10878511479164046) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.4715792147229694, 1.3975424859373684, 0.11546706226769787) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.6056584903955566, 1.5624999999999998, 0.13862823861501855) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.833316254546492, 1.7469281074217102, 0.13264572728078394) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.9521911873970372, 1.9531249999999996, 0.14336088689315835) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.2325950381180486, 2.1836601342771376, 0.17147613380058102) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.4831294281967087, 2.4414062499999996, 0.2050642991390338) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.736634068360006, 2.729575167846422, 0.21636369200366343) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (3.210681072712079, 3.051757812499999, 0.28552731315868246) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.0040339417875204, 1.0, 0.08249459720171386) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1656608456827053, 1.118033988749895, 0.09246552376016325) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.2285241314162851, 1.25, 0.10295236933009197) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.4043568740248789, 1.3975424859373684, 0.1142748584165981) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5131873824886914, 1.5624999999999998, 0.14454523528368768) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.800402291259338, 1.7469281074217102, 0.16100571039680733) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.9734449697021865, 1.9531249999999996, 0.20880386998148076) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.069335160316365, 2.1836601342771376, 0.19068054196512726) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.4690888220597476, 2.4414062499999996, 0.26301712056296883) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.6218305302847087, 2.729575167846422, 0.33318303211144773) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.9946009706907972, 3.051757812499999, 0.36391194371879393) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.0240693227812658, 1.0, 0.07516448386973858) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.106676903621535, 1.118033988749895, 0.08397404673875963) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.264033782899388, 1.25, 0.10436204838615147) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.3947650973135561, 1.3975424859373684, 0.10951464254278855) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5499490907904785, 1.5624999999999998, 0.12411371686088543) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.7524618511461405, 1.7469281074217102, 0.13142023272655357) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.9856384386642119, 1.9531249999999996, 0.15241832644082826) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.1156278808188844, 2.1836601342771376, 0.14468990853158356) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.5076741450914732, 2.4414062499999996, 0.21148962500951465) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.7840004291724547, 2.729575167846422, 0.2556014930685412) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.9261850426395575, 3.051757812499999, 0.28169343446502804) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.0240693227812658, 1.0, 0.07516448386973858) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.106676903621535, 1.118033988749895, 0.08397404673875963) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.264033782899388, 1.25, 0.10436204838615147) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.3947650973135561, 1.3975424859373684, 0.10951464254278855) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5499490907904785, 1.5624999999999998, 0.12411371686088543) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.7524618511461405, 1.7469281074217102, 0.13142023272655357) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.9856384386642119, 1.9531249999999996, 0.15241832644082826) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.1156278808188844, 2.1836601342771376, 0.14468990853158356) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.5076741450914732, 2.4414062499999996, 0.21148962500951465) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.7840004291724547, 2.729575167846422, 0.2556014930685412) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.9261850426395575, 3.051757812499999, 0.28169343446502804) Test Summary: | Pass Total Time MCMCTempering.jl | 1521 1521 5m05.0s Testing MCMCTempering tests passed Testing completed after 451.77s PkgEval succeeded after 1403.54s