Package evaluation to test MCMCTempering on Julia 1.14.0-DEV.1688 (ee54f91d68*) started at 2026-02-10T07:18:20.936


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

Installing PkgEval dependencies (TestEnv)...
  Activating project at `~/.julia/environments/v1.14`

Set-up completed after 12.32s


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

Installing MCMCTempering...
   Resolving package versions...
    Updating `~/.julia/environments/v1.14/Project.toml`
  [ce233488] + MCMCTempering v0.3.2
    Updating `~/.julia/environments/v1.14/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 v3.1.0
  [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
  [7b1f6079] + FileWatching v1.11.0
  [9fa8497b] + Future v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.13.0
  [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 v1.0.0
  [9e88b42a] + Serialization v1.11.0
  [1a1011a3] + SharedArrays v1.11.0
  [6462fe0b] + Sockets v1.11.0
  [2f01184e] + SparseArrays v1.13.0
  [f489334b] + StyledStrings v1.13.0
  [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 v0.3.30+0
  [05823500] + OpenLibm_jll v0.8.7+0
  [bea87d4a] + SuiteSparse_jll v7.10.1+0
  [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 5.41s


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

Precompiling PkgEval dependencies...

┌ Warning: Could not use exact versions of packages in manifest, re-resolving
└ @ TestEnv ~/.julia/packages/TestEnv/h9a3r/src/julia-1.13/activate_set.jl:78
Precompiling package dependencies...
Precompiling packages...
   1351.0 ms  ✓ Functors
   1121.2 ms  ✓ Libtask
   3845.7 ms  ✓ SciMLOperators
    914.2 ms  ✓ StructArrays → StructArraysGPUArraysCoreExt
WARNING: Imported binding Base._sortslices was undeclared at import time during import to NamedArrays.
WARNING: Imported binding Base._negdims was undeclared at import time during import to NamedArrays.
WARNING: Imported binding Base.DimSelector was undeclared at import time during import to NamedArrays.
ERROR: LoadError: invalid method definition in NamedArrays: exported function Base._sortslices does not exist
Stacktrace:
  [1] top-level scope
    @ ~/.julia/packages/NamedArrays/spYk1/src/rearrange.jl:106
  [2] include(mapexpr::Function, mod::Module, _path::String)
    @ Base ./Base.jl:310
  [3] top-level scope
    @ ~/.julia/packages/NamedArrays/spYk1/src/NamedArrays.jl:35
  [4] include(mod::Module, _path::String)
    @ Base ./Base.jl:309
  [5] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)
    @ Base ./loading.jl:3309
  [6] top-level scope
    @ stdin:5
  [7] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
  [8] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:3151
  [9] include_string
    @ ./loading.jl:3161 [inlined]
 [10] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:342
 [11] _start()
    @ Base ./client.jl:585
in expression starting at /home/pkgeval/.julia/packages/NamedArrays/spYk1/src/rearrange.jl:106
in expression starting at /home/pkgeval/.julia/packages/NamedArrays/spYk1/src/NamedArrays.jl:9
in expression starting at stdin:5
              ✗ NamedArrays
   2021.1 ms  ✓ MicroCollections
   4559.6 ms  ✓ Interpolations
   8935.4 ms  ✓ KernelAbstractions
   3630.3 ms  ✓ Distributions → DistributionsDensityInterfaceExt
   5680.2 ms  ✓ MCMCDiagnosticTools
   2039.1 ms  ✓ Optimisers
   9113.2 ms  ✓ Bijectors
  12097.2 ms  ✓ SciMLBase
  12333.9 ms  ✓ ChainRules
   7109.6 ms  ✓ Transducers
   2885.8 ms  ✓ Interpolations → InterpolationsForwardDiffExt
   4957.6 ms  ✓ KernelDensity
   3060.0 ms  ✓ KernelAbstractions → SparseArraysExt
   2241.1 ms  ✓ KernelAbstractions → LinearAlgebraExt
  10001.0 ms  ✓ DistributionsAD
   6298.6 ms  ✓ Transducers → TransducersDataFramesExt
   4845.1 ms  ✓ AbstractMCMC
  14300.4 ms  ✓ NNlib
   4175.7 ms  ✓ DistributionsAD → DistributionsADForwardDiffExt
  10220.5 ms  ✓ MCMCChains
   7247.4 ms  ✓ AdvancedHMC
   5212.0 ms  ✓ AdvancedPS
   4829.4 ms  ✓ AdvancedMH
   4509.8 ms  ✓ EllipticalSliceSampling
   4494.9 ms  ✓ AbstractPPL
   2755.0 ms  ✓ NNlib → NNlibSpecialFunctionsExt
   2961.5 ms  ✓ NNlib → NNlibForwardDiffExt
  14210.4 ms  ✓ MCMCTempering
   7301.9 ms  ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt
   7448.7 ms  ✓ AdvancedMH → AdvancedMHMCMCChainsExt
   4368.4 ms  ✓ AdvancedMH → AdvancedMHStructArraysExt
   4488.9 ms  ✓ AdvancedMH → AdvancedMHForwardDiffExt
  23839.5 ms  ✓ DynamicPPL
  13863.4 ms  ✓ Tracker
   3891.6 ms  ✓ Tracker → TrackerPDMatsExt
   3376.1 ms  ✓ LogDensityProblemsAD → LogDensityProblemsADTrackerExt
   3795.8 ms  ✓ ArrayInterface → ArrayInterfaceTrackerExt
   4124.0 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsTrackerExt
   8556.3 ms  ✓ DistributionsAD → DistributionsADTrackerExt
   6502.5 ms  ✓ AdvancedVI
  14389.4 ms  ✓ Turing
  45 dependencies successfully precompiled in 297 seconds. 196 already precompiled.

Precompilation completed after 320.17s


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

     Testing MCMCTempering
        Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function.
    Updating `/tmp/jl_ltt3Sk/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_ltt3Sk/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 v0.5.17
⌅ [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_ltt3Sk/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 v1.13.0
  [9a3f8284] Random v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_ltt3Sk/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 v0.5.17
⌅ [0bca4576] SciMLBase v1.92.0
⌅ [c0aeaf25] SciMLOperators v0.2.12
  [30f210dd] ScientificTypesBase v3.1.0
  [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
  [56f22d72] Artifacts v1.11.0
  [2a0f44e3] Base64 v1.11.0
  [ade2ca70] Dates v1.11.0
  [8ba89e20] Distributed v1.11.0
  [7b1f6079] FileWatching v1.11.0
  [9fa8497b] Future v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.13.0
  [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 v1.0.0
  [9e88b42a] Serialization v1.11.0
  [1a1011a3] SharedArrays v1.11.0
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  [2f01184e] SparseArrays v1.13.0
  [f489334b] StyledStrings v1.13.0
  [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 v0.3.30+0
  [05823500] OpenLibm_jll v0.8.7+0
  [bea87d4a] SuiteSparse_jll v7.10.1+0
  [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...
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.
The temperature was sorted to ensure decreasing order.
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 531.507
│      :param_1 => 451.375
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 524.536
└      :param_1 => 421.758
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 531.507
│      :param_1 => 451.375
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 594.604
└      :param_1 => 553.357
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 531.507
│      :param_1 => 451.375
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 378.384
└      :param_1 => 257.044
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 531.507
│      :param_1 => 451.375
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 330.051
└      :param_1 => 337.44
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 531.507
│      :param_1 => 451.375
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 602.135
└      :param_1 => 486.759
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1282.08
│      :s => 1690.59
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1389.65
└      :s => 1607.58
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1282.08
│      :s => 1690.59
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 2762.8
└      :s => 3080.18
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 189.272
│      :s => 369.484
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 150.056
└      :s => 341.66
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 189.272
│      :s => 369.484
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1111.98
└      :s => 954.542
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (0.9774191076281108, 1.0, 0.10603681927759928)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.144491904542366, 1.118033988749895, 0.08864643231188422)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.263264223557427, 1.25, 0.09869874131174705)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.4361666513500133, 1.3975424859373684, 0.1091652654122624)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.5966237131249523, 1.5624999999999998, 0.13088936829165693)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.769694628317387, 1.7469281074217102, 0.14433957408763884)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.0387133007562026, 1.9531249999999996, 0.15122500619847096)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.2026544911370487, 2.1836601342771376, 0.17156156931857644)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.5542705514176123, 2.4414062499999996, 0.23269924171399042)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.794843477703095, 2.729575167846422, 0.2598921917601243)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (3.2475790560584166, 3.051757812499999, 0.3792199401712395)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (0.977614257680057, 1.0, 0.07485749997297711)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.1105415671960452, 1.118033988749895, 0.09241270833500345)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.240398851145351, 1.25, 0.09153341129436449)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.3965131172733556, 1.3975424859373684, 0.11169202253372325)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.5453113985130509, 1.5624999999999998, 0.12196297851253991)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.7393417572861622, 1.7469281074217102, 0.15750426012052376)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.002198332712911, 1.9531249999999996, 0.1865904024635572)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.202531283422542, 2.1836601342771376, 0.23840858982243807)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.4915160206002067, 2.4414062499999996, 0.2556412250860676)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.632649064778461, 2.729575167846422, 0.2723838037074239)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (3.172820494660341, 3.051757812499999, 0.46448276828911167)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.0185999534999939, 1.0, 0.07783591043871926)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.1497301573614327, 1.118033988749895, 0.0836799856347419)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.18501625429176, 1.25, 0.08250797354072949)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.421554696581028, 1.3975424859373684, 0.10335049974519181)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.6416824333668096, 1.5624999999999998, 0.13079311051046463)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.7831250376921495, 1.7469281074217102, 0.13135952506054188)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.9867851472340021, 1.9531249999999996, 0.14575087201010223)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.1539822680886953, 2.1836601342771376, 0.16485173845383774)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.492464011239598, 2.4414062499999996, 0.2106407506586891)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.9118019720158315, 2.729575167846422, 0.296648168020411)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (3.1457183057149183, 3.051757812499999, 0.274243186525404)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.0185999534999939, 1.0, 0.07783591043871926)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.1497301573614327, 1.118033988749895, 0.0836799856347419)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.18501625429176, 1.25, 0.08250797354072949)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.421554696581028, 1.3975424859373684, 0.10335049974519181)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.6416824333668096, 1.5624999999999998, 0.13079311051046463)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.7831250376921495, 1.7469281074217102, 0.13135952506054188)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.9867851472340021, 1.9531249999999996, 0.14575087201010223)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.1539822680886953, 2.1836601342771376, 0.16485173845383774)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.492464011239598, 2.4414062499999996, 0.2106407506586891)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.9118019720158315, 2.729575167846422, 0.296648168020411)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (3.1457183057149183, 3.051757812499999, 0.274243186525404)
Test Summary:    | Pass  Total     Time
MCMCTempering.jl | 1521   1521  5m08.8s
     Testing MCMCTempering tests passed 

Testing completed after 349.82s

PkgEval succeeded after 703.03s