Package evaluation to test MCMCTempering on Julia 1.12.4 (422f456051*) started at 2026-01-29T11:56:43.820


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...
  Activating project at `~/.julia/environments/v1.12`

Set-up completed after 7.54s


################################################################################
# Installation
#

Installing MCMCTempering...
   Resolving package versions...
    Updating `~/.julia/environments/v1.12/Project.toml`
  [ce233488] + MCMCTempering v0.3.2
    Updating `~/.julia/environments/v1.12/Manifest.toml`
  [621f4979] + AbstractFFTs v1.5.0
⌅ [80f14c24] + AbstractMCMC v4.4.2
  [1520ce14] + AbstractTrees v0.4.5
  [79e6a3ab] + Adapt v4.4.0
  [66dad0bd] + AliasTables v1.1.3
  [dce04be8] + ArgCheck v2.5.0
  [13072b0f] + AxisAlgorithms v1.1.0
  [39de3d68] + AxisArrays v0.4.8
⌅ [198e06fe] + BangBang v0.3.40
  [9718e550] + Baselet v0.1.1
  [d360d2e6] + ChainRulesCore v1.26.0
  [34da2185] + Compat v4.18.1
  [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 v0.19.3
  [e2d170a0] + DataValueInterfaces v1.0.0
  [244e2a9f] + DefineSingletons v0.1.2
  [31c24e10] + Distributions v0.25.123
  [ffbed154] + DocStringExtensions v0.9.5
  [b86e33f2] + FFTA v0.3.1
  [1a297f60] + FillArrays v1.16.0
  [34004b35] + HypergeometricFunctions v0.3.28
  [22cec73e] + InitialValues v0.3.1
  [18e54dd8] + IntegerMathUtils v0.1.3
  [a98d9a8b] + Interpolations v0.16.2
  [8197267c] + IntervalSets v0.7.13
  [3587e190] + InverseFunctions v0.1.17
  [92d709cd] + IrrationalConstants v0.2.6
  [c8e1da08] + IterTools v1.10.0
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [692b3bcd] + JLLWrappers v1.7.1
  [5ab0869b] + KernelDensity v0.6.11
  [b964fa9f] + LaTeXStrings v1.4.0
  [1d6d02ad] + LeftChildRightSiblingTrees v0.2.1
  [6fdf6af0] + LogDensityProblems v2.2.0
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [e6f89c97] + LoggingExtras v1.2.0
⌅ [c7f686f2] + MCMCChains v6.0.7
  [be115224] + MCMCDiagnosticTools v0.3.16
  [ce233488] + MCMCTempering v0.3.2
  [e80e1ace] + MLJModelInterface v1.12.1
  [1914dd2f] + MacroTools v0.5.16
⌅ [128add7d] + MicroCollections v0.1.4
  [e1d29d7a] + Missings v1.2.0
  [46d2c3a1] + MuladdMacro v0.2.4
  [c020b1a1] + NaturalSort v1.0.0
  [6fe1bfb0] + OffsetArrays v1.17.0
  [bac558e1] + OrderedCollections v1.8.1
  [90014a1f] + PDMats v0.11.37
  [aea7be01] + PrecompileTools v1.3.3
  [21216c6a] + Preferences v1.5.1
⌅ [08abe8d2] + PrettyTables v2.4.0
  [27ebfcd6] + Primes v0.5.7
  [33c8b6b6] + ProgressLogging v0.1.6
  [92933f4c] + ProgressMeter v1.11.0
  [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 v0.9.0
  [30f210dd] + ScientificTypesBase v3.0.0
  [efcf1570] + Setfield v1.1.2
  [a2af1166] + SortingAlgorithms v1.2.2
  [276daf66] + SpecialFunctions v2.6.1
  [171d559e] + SplittablesBase v0.1.15
  [90137ffa] + StaticArrays v1.9.16
  [1e83bf80] + StaticArraysCore v1.4.4
  [64bff920] + StatisticalTraits v3.5.0
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.8.0
  [2913bbd2] + StatsBase v0.34.10
  [4c63d2b9] + StatsFuns v1.5.2
  [892a3eda] + StringManipulation v0.4.2
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.12.1
  [5d786b92] + TerminalLoggers v0.1.7
⌃ [28d57a85] + Transducers v0.4.80
  [efce3f68] + WoodburyMatrices v1.1.0
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
  [f50d1b31] + Rmath_jll v0.5.1+0
  [56f22d72] + Artifacts v1.11.0
  [2a0f44e3] + Base64 v1.11.0
  [ade2ca70] + Dates v1.11.0
  [8ba89e20] + Distributed v1.11.0
  [9fa8497b] + Future v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0
  [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
  [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
  [8dfed614] + Test v1.11.0
  [cf7118a7] + UUIDs v1.11.0
  [4ec0a83e] + Unicode v1.11.0
  [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [05823500] + OpenLibm_jll v0.8.7+0
  [bea87d4a] + SuiteSparse_jll v7.8.3+2
  [8e850b90] + libblastrampoline_jll v5.15.0+0
        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 5.61s


################################################################################
# Precompilation
#

Precompiling PkgEval dependencies...

┌ Warning: Could not use exact versions of packages in manifest, re-resolving
└ @ TestEnv ~/.julia/packages/TestEnv/h9a3r/src/julia-1.12/activate_set.jl:78
Precompiling package dependencies...
Precompiling packages...
   3784.2 ms  ✓ Optimisers
  10161.1 ms  ✓ Transducers
              ✗ NamedArrays
  23734.4 ms  ✓ SciMLBase
   3911.1 ms  ✓ Interpolations → InterpolationsForwardDiffExt
  28053.2 ms  ✓ NNlib
   8660.9 ms  ✓ Distributions → DistributionsDensityInterfaceExt
  31578.5 ms  ✓ KernelDensity
  34391.6 ms  ✓ DistributionsAD
   6857.5 ms  ✓ Transducers → TransducersDataFramesExt
  10180.8 ms  ✓ AbstractMCMC
   3374.1 ms  ✓ NNlib → NNlibSpecialFunctionsExt
  35691.3 ms  ✓ NNlib → NNlibForwardDiffExt
  20411.9 ms  ✓ DistributionsAD → DistributionsADForwardDiffExt
  44800.6 ms  ✓ MCMCChains
   8293.6 ms  ✓ EllipticalSliceSampling
  55225.0 ms  ✓ AdvancedHMC
  39759.2 ms  ✓ AdvancedMH
   9012.5 ms  ✓ AbstractPPL
   9031.5 ms  ✓ AdvancedPS
  63457.6 ms  ✓ Tracker
  79004.1 ms  ✓ MCMCTempering
   9056.1 ms  ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt
   9190.5 ms  ✓ AdvancedMH → AdvancedMHMCMCChainsExt
   5692.7 ms  ✓ AdvancedMH → AdvancedMHStructArraysExt
  21101.9 ms  ✓ AdvancedMH → AdvancedMHForwardDiffExt
  54639.5 ms  ✓ DynamicPPL
  66514.8 ms  ✓ Tracker → TrackerPDMatsExt
   4277.5 ms  ✓ ArrayInterface → ArrayInterfaceTrackerExt
   6359.3 ms  ✓ LogDensityProblemsAD → LogDensityProblemsADTrackerExt
  78015.7 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsTrackerExt
  85887.7 ms  ✓ DistributionsAD → DistributionsADTrackerExt
  32640.9 ms  ✓ AdvancedVI
 244871.4 ms  ✓ Turing
  33 dependencies successfully precompiled in 1167 seconds. 209 already precompiled.

Precompilation completed after 1176.54s


################################################################################
# Testing
#

     Testing MCMCTempering
        Test Could not use exact versions of packages in manifest. Re-resolving dependencies
    Updating `/tmp/jl_50a5Yh/Project.toml`
⌅ [0bf59076] + AdvancedHMC v0.4.6
⌅ [5b7e9947] + AdvancedMH v0.7.5
⌅ [76274a88] + Bijectors v0.10.8
  [a93c6f00] + DataFrames v1.8.1
⌅ [f6369f11] + ForwardDiff v0.10.39
  [996a588d] + LogDensityProblemsAD v1.13.1
⌃ [be115224] ↓ MCMCDiagnosticTools v0.3.16 ⇒ v0.3.15
  [ce233488] + MCMCTempering v0.3.2
⌅ [fce5fe82] + Turing v0.24.4
    Updating `/tmp/jl_50a5Yh/Manifest.toml`
⌅ [7a57a42e] + AbstractPPL v0.5.4
  [7d9f7c33] + Accessors v0.1.43
⌅ [79e6a3ab] ↓ Adapt v4.4.0 ⇒ 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 v1.1.2
⌅ [76274a88] + Bijectors v0.10.8
  [082447d4] + ChainRules v1.72.6
  [9e997f8a] + ChangesOfVariables v0.1.10
  [861a8166] + Combinatorics v1.1.0
  [38540f10] + CommonSolve v0.2.6
  [bbf7d656] + CommonSubexpressions v0.3.1
  [2569d6c7] + ConcreteStructs v0.2.3
  [a93c6f00] + DataFrames v1.8.1
⌅ [864edb3b] ↓ DataStructures v0.19.3 ⇒ v0.18.22
  [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 v1.0.6
  [e2ba6199] + ExprTools v0.1.10
⌅ [f6369f11] + ForwardDiff v0.10.39
  [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 v1.4.5
  [505f98c9] + InplaceOps v0.3.0
  [3587e190] + InverseFunctions v0.1.17
  [41ab1584] + InvertedIndices v1.3.1
  [63c18a36] + KernelAbstractions v0.9.39
  [8ac3fa9e] + LRUCache v1.6.2
  [50d2b5c4] + Lazy v0.15.1
⌅ [6f1fad26] + Libtask v0.8.8
  [996a588d] + LogDensityProblemsAD v1.13.1
⌃ [be115224] ↓ MCMCDiagnosticTools v0.3.16 ⇒ v0.3.15
  [ce233488] + MCMCTempering v0.3.2
  [dbb5928d] + MappedArrays v0.4.3
⌃ [872c559c] + NNlib v0.9.31
  [77ba4419] + NaNMath v1.1.3
⌅ [86f7a689] + NamedArrays v0.9.8
⌃ [3bd65402] + Optimisers v0.2.15
⌃ [90014a1f] ↓ PDMats v0.11.37 ⇒ v0.11.35
  [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 v2.2.10
  [7e49a35a] + RuntimeGeneratedFunctions v0.5.16
⌅ [0bca4576] + SciMLBase v1.92.0
⌅ [c0aeaf25] + SciMLOperators v0.2.12
  [7e506255] + ScopedValues v1.5.0
  [91c51154] + SentinelArrays v1.4.9
  [ce78b400] + SimpleUnPack v1.1.0
  [dc90abb0] + SparseInverseSubset v0.1.2
⌅ [2913bbd2] ↓ StatsBase v0.34.10 ⇒ v0.33.21
⌃ [09ab397b] + StructArrays v0.6.18
⌅ [2efcf032] + SymbolicIndexingInterface v0.2.2
  [9f7883ad] + Tracker v0.2.38
  [410a4b4d] + Tricks v0.1.13
  [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_50a5Yh/Project.toml`
⌅ [80f14c24] AbstractMCMC v4.4.2
⌅ [0bf59076] AdvancedHMC v0.4.6
⌅ [5b7e9947] AdvancedMH v0.7.5
⌅ [76274a88] Bijectors v0.10.8
  [a93c6f00] DataFrames v1.8.1
  [31c24e10] Distributions v0.25.123
  [1a297f60] FillArrays v1.16.0
⌅ [f6369f11] ForwardDiff v0.10.39
  [6fdf6af0] LogDensityProblems v2.2.0
  [996a588d] LogDensityProblemsAD v1.13.1
⌅ [c7f686f2] MCMCChains v6.0.7
⌃ [be115224] MCMCDiagnosticTools v0.3.15
  [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_50a5Yh/Manifest.toml`
  [621f4979] AbstractFFTs v1.5.0
⌅ [80f14c24] AbstractMCMC v4.4.2
⌅ [7a57a42e] AbstractPPL v0.5.4
  [1520ce14] AbstractTrees v0.4.5
  [7d9f7c33] Accessors v0.1.43
⌅ [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 v1.1.2
  [13072b0f] AxisAlgorithms v1.1.0
  [39de3d68] AxisArrays v0.4.8
⌅ [198e06fe] BangBang v0.3.40
  [9718e550] Baselet v0.1.1
⌅ [76274a88] Bijectors v0.10.8
  [082447d4] ChainRules v1.72.6
  [d360d2e6] ChainRulesCore v1.26.0
  [9e997f8a] ChangesOfVariables v0.1.10
  [861a8166] Combinatorics v1.1.0
  [38540f10] CommonSolve v0.2.6
  [bbf7d656] CommonSubexpressions v0.3.1
  [34da2185] Compat v4.18.1
  [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 v1.8.1
⌅ [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 v0.25.123
  [ced4e74d] DistributionsAD v0.6.58
  [ffbed154] DocStringExtensions v0.9.5
⌅ [366bfd00] DynamicPPL v0.21.6
⌅ [cad2338a] EllipticalSliceSampling v1.1.0
  [4e289a0a] EnumX v1.0.6
  [e2ba6199] ExprTools v0.1.10
  [b86e33f2] FFTA v0.3.1
  [1a297f60] FillArrays v1.16.0
⌅ [f6369f11] ForwardDiff v0.10.39
  [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 v1.4.5
  [505f98c9] InplaceOps v0.3.0
  [18e54dd8] IntegerMathUtils v0.1.3
  [a98d9a8b] Interpolations v0.16.2
  [8197267c] IntervalSets v0.7.13
  [3587e190] InverseFunctions v0.1.17
  [41ab1584] InvertedIndices v1.3.1
  [92d709cd] IrrationalConstants v0.2.6
  [c8e1da08] IterTools v1.10.0
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.7.1
  [63c18a36] KernelAbstractions v0.9.39
  [5ab0869b] KernelDensity v0.6.11
  [8ac3fa9e] LRUCache v1.6.2
  [b964fa9f] LaTeXStrings v1.4.0
  [50d2b5c4] Lazy v0.15.1
  [1d6d02ad] LeftChildRightSiblingTrees v0.2.1
⌅ [6f1fad26] Libtask v0.8.8
  [6fdf6af0] LogDensityProblems v2.2.0
  [996a588d] LogDensityProblemsAD v1.13.1
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.2.0
⌅ [c7f686f2] MCMCChains v6.0.7
⌃ [be115224] MCMCDiagnosticTools v0.3.15
  [ce233488] MCMCTempering v0.3.2
  [e80e1ace] MLJModelInterface v1.12.1
  [1914dd2f] MacroTools v0.5.16
  [dbb5928d] MappedArrays v0.4.3
⌅ [128add7d] MicroCollections v0.1.4
  [e1d29d7a] Missings v1.2.0
  [46d2c3a1] MuladdMacro v0.2.4
⌃ [872c559c] NNlib v0.9.31
  [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 v1.3.3
  [21216c6a] Preferences v1.5.1
⌅ [08abe8d2] PrettyTables v2.4.0
  [27ebfcd6] Primes v0.5.7
  [33c8b6b6] ProgressLogging v0.1.6
  [92933f4c] ProgressMeter v1.11.0
  [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 v0.9.0
  [f2b01f46] Roots v2.2.10
  [7e49a35a] RuntimeGeneratedFunctions v0.5.16
⌅ [0bca4576] SciMLBase v1.92.0
⌅ [c0aeaf25] SciMLOperators v0.2.12
  [30f210dd] ScientificTypesBase v3.0.0
  [7e506255] ScopedValues v1.5.0
  [91c51154] SentinelArrays v1.4.9
  [efcf1570] Setfield v1.1.2
  [ce78b400] SimpleUnPack v1.1.0
  [a2af1166] SortingAlgorithms v1.2.2
  [dc90abb0] SparseInverseSubset v0.1.2
  [276daf66] SpecialFunctions v2.6.1
  [171d559e] SplittablesBase v0.1.15
  [90137ffa] StaticArrays v1.9.16
  [1e83bf80] StaticArraysCore v1.4.4
  [64bff920] StatisticalTraits v3.5.0
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.8.0
⌅ [2913bbd2] StatsBase v0.33.21
  [4c63d2b9] StatsFuns v1.5.2
  [892a3eda] StringManipulation v0.4.2
⌃ [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 v0.1.13
  [781d530d] TruncatedStacktraces v1.4.0
⌅ [fce5fe82] Turing v0.24.4
  [013be700] UnsafeAtomics v0.3.0
  [efce3f68] WoodburyMatrices v1.1.0
  [700de1a5] ZygoteRules v0.2.7
  [efe28fd5] OpenSpecFun_jll v0.5.6+0
  [f50d1b31] Rmath_jll v0.5.1+0
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  [2a0f44e3] Base64 v1.11.0
  [ade2ca70] Dates v1.11.0
  [8ba89e20] Distributed v1.11.0
  [9fa8497b] Future v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0
  [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
  [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
  [8dfed614] Test v1.11.0
  [cf7118a7] UUIDs v1.11.0
  [4ec0a83e] Unicode v1.11.0
  [e66e0078] CompilerSupportLibraries_jll v1.3.0+1
  [4536629a] OpenBLAS_jll v0.3.29+0
  [05823500] OpenLibm_jll v0.8.7+0
  [bea87d4a] SuiteSparse_jll v7.8.3+2
  [8e850b90] libblastrampoline_jll v5.15.0+0
        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...
Precompiling packages...
  18281.0 ms  ✓ MCMCTempering
  1 dependency successfully precompiled in 22 seconds. 140 already precompiled.
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...
  90599.5 ms  ✓ DataFrames
  1 dependency successfully precompiled in 93 seconds. 34 already precompiled.
Precompiling packages...
   7252.1 ms  ✓ BangBang → BangBangDataFramesExt
  1 dependency successfully precompiled in 8 seconds. 43 already precompiled.
Precompiling packages...
   7178.4 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 => 492.731
│      :param_1 => 511.474
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 308.147
└      :param_1 => 457.864
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 492.731
│      :param_1 => 511.474
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 761.697
└      :param_1 => 668.545
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 492.731
│      :param_1 => 511.474
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 248.978
└      :param_1 => 484.155
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 492.731
│      :param_1 => 511.474
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 358.858
└      :param_1 => 306.6
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 492.731
│      :param_1 => 511.474
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 427.145
└      :param_1 => 519.213
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1370.13
│      :s => 1476.72
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1327.58
└      :s => 1838.96
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1370.13
│      :s => 1476.72
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 2199.75
└      :s => 2902.47
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 248.589
│      :s => 259.651
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 200.844
└      :s => 387.234
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 248.589
│      :s => 259.651
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 563.182
└      :s => 683.858
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (0.9844596328480772, 1.0, 0.10158561806364241)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.1200940759890834, 1.118033988749895, 0.08473428771961698)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.2734562854292044, 1.25, 0.11422402586662743)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.4880027975520815, 1.3975424859373684, 0.12006171969219596)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.561165935058263, 1.5624999999999998, 0.10852571932145384)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.7349264200231136, 1.7469281074217102, 0.11741784929220637)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.0772404195543044, 1.9531249999999996, 0.1834249300033455)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.1945074629197943, 2.1836601342771376, 0.17966539141834975)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.3668941179399305, 2.4414062499999996, 0.17596282174343886)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.7160975476956115, 2.729575167846422, 0.26943398884700925)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (3.2613826891025353, 3.051757812499999, 0.34969973651931024)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.0290730209396373, 1.0, 0.07216283917881025)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.1204193222010252, 1.118033988749895, 0.08100265628672156)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.2360663158223293, 1.25, 0.09453432401074979)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.406848368195926, 1.3975424859373684, 0.12911320869659848)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.5753145071431347, 1.5624999999999998, 0.1212086735044973)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.7775839280383345, 1.7469281074217102, 0.17038400889790847)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.9568008732875237, 1.9531249999999996, 0.18723354047185886)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.109373364214726, 2.1836601342771376, 0.19484273026639556)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.3131391909296366, 2.4414062499999996, 0.20819805978379033)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.6557446724583276, 2.729575167846422, 0.2518180050908227)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.976425389356347, 3.051757812499999, 0.3972971234164893)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (0.9712698376569806, 1.0, 0.07057089762439957)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.0859836210858274, 1.118033988749895, 0.08573614815084832)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.2407551465492206, 1.25, 0.08454266752163297)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.4247930643253655, 1.3975424859373684, 0.11144957578560313)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.58299695039313, 1.5624999999999998, 0.12580846251210015)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.7533325478723722, 1.7469281074217102, 0.12908772325983037)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.006043055931416, 1.9531249999999996, 0.1592929659122301)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.2234940714513587, 2.1836601342771376, 0.1808679801700568)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.4302897992979275, 2.4414062499999996, 0.1810301517030546)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.7664778493601903, 2.729575167846422, 0.23542277786240084)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.99687053175902, 3.051757812499999, 0.2771603617183451)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (0.9712698376569806, 1.0, 0.07057089762439957)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.0859836210858274, 1.118033988749895, 0.08573614815084832)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.2407551465492206, 1.25, 0.08454266752163297)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.4247930643253655, 1.3975424859373684, 0.11144957578560313)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.58299695039313, 1.5624999999999998, 0.12580846251210015)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.7533325478723722, 1.7469281074217102, 0.12908772325983037)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.006043055931416, 1.9531249999999996, 0.1592929659122301)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.2234940714513587, 2.1836601342771376, 0.1808679801700568)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.4302897992979275, 2.4414062499999996, 0.1810301517030546)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.7664778493601903, 2.729575167846422, 0.23542277786240084)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.99687053175902, 3.051757812499999, 0.2771603617183451)
Test Summary:    | Pass  Total     Time
MCMCTempering.jl | 1521   1521  5m11.6s
     Testing MCMCTempering tests passed 

Testing completed after 485.22s

PkgEval succeeded after 1702.22s