Package evaluation to test MCMCTempering on Julia 1.12.4 (0f21d93eaa*) started at 2026-01-27T05:26:48.490


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

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

Set-up completed after 9.29s


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

Installing MCMCTempering...
   Resolving package versions...
   Installed Crayons ───────────────────── v4.1.1
   Installed ScientificTypesBase ───────── v3.0.0
   Installed IrrationalConstants ───────── v0.2.6
   Installed MuladdMacro ───────────────── v0.2.4
   Installed Adapt ─────────────────────── v4.4.0
   Installed AbstractMCMC ──────────────── v4.4.2
   Installed AxisArrays ────────────────── v0.4.8
   Installed Transducers ───────────────── v0.4.80
   Installed Rmath ─────────────────────── v0.9.0
   Installed IntegerMathUtils ──────────── v0.1.3
   Installed ArgCheck ──────────────────── v2.5.0
   Installed ConsoleProgressMonitor ────── v0.1.2
   Installed HypergeometricFunctions ───── v0.3.28
   Installed IntervalSets ──────────────── v0.7.13
   Installed OffsetArrays ──────────────── v1.17.0
   Installed PtrArrays ─────────────────── v1.3.0
   Installed StatsFuns ─────────────────── v1.5.2
   Installed MLJModelInterface ─────────── v1.12.1
   Installed TableTraits ───────────────── v1.0.1
   Installed LoggingExtras ─────────────── v1.2.0
   Installed IterTools ─────────────────── v1.10.0
   Installed Preferences ───────────────── v1.5.1
   Installed PrettyTables ──────────────── v2.4.0
   Installed NaturalSort ───────────────── v1.0.0
   Installed ProgressLogging ───────────── v0.1.6
   Installed PDMats ────────────────────── v0.11.37
   Installed Tables ────────────────────── v1.12.1
   Installed Setfield ──────────────────── v1.1.2
   Installed StatisticalTraits ─────────── v3.5.0
   Installed DataAPI ───────────────────── v1.16.0
   Installed SpecialFunctions ──────────── v2.6.1
   Installed Primes ────────────────────── v0.5.7
   Installed Baselet ───────────────────── v0.1.1
   Installed RecipesBase ───────────────── v1.3.4
   Installed ProgressMeter ─────────────── v1.11.0
   Installed JLLWrappers ───────────────── v1.7.1
   Installed ConcreteStructs ───────────── v0.2.3
   Installed AbstractFFTs ──────────────── v1.5.0
   Installed StaticArraysCore ──────────── v1.4.4
   Installed StaticArrays ──────────────── v1.9.16
   Installed IteratorInterfaceExtensions ─ v1.0.0
   Installed DataValueInterfaces ───────── v1.0.0
   Installed DefineSingletons ──────────── v0.1.2
   Installed MicroCollections ──────────── v0.1.4
   Installed ConstructionBase ──────────── v1.6.0
   Installed PrecompileTools ───────────── v1.3.3
   Installed FFTA ──────────────────────── v0.3.1
   Installed AbstractTrees ─────────────── v0.4.5
   Installed LaTeXStrings ──────────────── v1.4.0
   Installed OrderedCollections ────────── v1.8.1
   Installed KernelDensity ─────────────── v0.6.11
   Installed InitialValues ─────────────── v0.3.1
   Installed MCMCDiagnosticTools ───────── v0.3.15
   Installed FillArrays ────────────────── v1.16.0
   Installed ChainRulesCore ────────────── v1.26.0
   Installed Rmath_jll ─────────────────── v0.5.1+0
   Installed Reexport ──────────────────── v1.2.2
   Installed TerminalLoggers ───────────── v0.1.7
   Installed QuadGK ────────────────────── v2.11.2
   Installed Interpolations ────────────── v0.16.2
   Installed AxisAlgorithms ────────────── v1.1.0
   Installed Ratios ────────────────────── v0.4.5
   Installed Statistics ────────────────── v1.11.1
   Installed SplittablesBase ───────────── v0.1.15
   Installed LeftChildRightSiblingTrees ── v0.2.1
   Installed DataStructures ────────────── v0.19.3
   Installed LogExpFunctions ───────────── v0.3.29
   Installed Requires ──────────────────── v1.3.1
   Installed AliasTables ───────────────── v1.1.3
   Installed BangBang ──────────────────── v0.3.40
   Installed RangeArrays ───────────────── v0.3.2
   Installed StatsAPI ──────────────────── v1.8.0
   Installed Compat ────────────────────── v4.18.1
   Installed OpenSpecFun_jll ───────────── v0.5.6+0
   Installed MacroTools ────────────────── v0.5.16
   Installed InverseFunctions ──────────── v0.1.17
   Installed CompositionsBase ──────────── v0.1.2
   Installed Distributions ─────────────── v0.25.123
   Installed WoodburyMatrices ──────────── v1.1.0
   Installed LogDensityProblems ────────── v2.2.0
   Installed Missings ──────────────────── v1.2.0
   Installed StringManipulation ────────── v0.4.2
   Installed SortingAlgorithms ─────────── v1.2.2
   Installed StatsBase ─────────────────── v0.34.10
   Installed MCMCChains ────────────────── v6.0.7
   Installed MCMCTempering ─────────────── v0.3.2
   Installed DocStringExtensions ───────── v0.9.5
  Installing 2 artifacts
   Installed artifact Rmath       121.9 KiB
   Installed artifact OpenSpecFun 194.9 KiB
    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 v0.3.15
  [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 10.88s


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# Precompilation
#

Precompiling PkgEval dependencies...
Precompiling packages...
   5260.2 ms  ✓ TestEnv
  1 dependency successfully precompiled in 5 seconds. 26 already precompiled.

┌ 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...
   2316.1 ms  ✓ Combinatorics
    797.2 ms  ✓ RangeArrays
    821.8 ms  ✓ SimpleUnPack
   4670.0 ms  ✓ FunctionWrappers
    901.1 ms  ✓ MuladdMacro
    843.8 ms  ✓ ConcreteStructs
    980.4 ms  ✓ ScientificTypesBase
    976.9 ms  ✓ ChangesOfVariables
   1086.1 ms  ✓ AbstractFFTs
    963.7 ms  ✓ LaTeXStrings
    851.1 ms  ✓ ExprTools
    694.0 ms  ✓ IteratorInterfaceExtensions
   4203.4 ms  ✓ UnsafeAtomics
   1378.6 ms  ✓ Tricks
   1254.7 ms  ✓ StatsAPI
   2131.6 ms  ✓ InitialValues
   1635.6 ms  ✓ OffsetArrays
    918.7 ms  ✓ NaturalSort
   1942.5 ms  ✓ FillArrays
    833.5 ms  ✓ IntegerMathUtils
    958.5 ms  ✓ InverseFunctions
   1133.9 ms  ✓ Statistics
    778.3 ms  ✓ CommonSolve
   1265.3 ms  ✓ ArgCheck
   1386.0 ms  ✓ IterTools
   8137.0 ms  ✓ MacroTools
   1654.3 ms  ✓ RandomNumbers
   3958.0 ms  ✓ OrderedCollections
   1227.4 ms  ✓ Requires
    870.0 ms  ✓ DataValueInterfaces
    928.0 ms  ✓ EnumX
    769.8 ms  ✓ RealDot
    760.8 ms  ✓ Reexport
   1131.2 ms  ✓ DocStringExtensions
   1764.8 ms  ✓ InlineStrings
   1061.6 ms  ✓ AbstractTrees
   4973.5 ms  ✓ IrrationalConstants
   1145.2 ms  ✓ IntervalSets
   1337.0 ms  ✓ CompositionsBase
    795.6 ms  ✓ PtrArrays
    881.4 ms  ✓ HashArrayMappedTries
    799.1 ms  ✓ DefineSingletons
   3978.0 ms  ✓ NaNMath
   1071.3 ms  ✓ DelimitedFiles
    854.3 ms  ✓ InvertedIndices
   1095.5 ms  ✓ LRUCache
   3963.2 ms  ✓ ConstructionBase
    836.3 ms  ✓ DataAPI
   4759.5 ms  ✓ Crayons
   1189.4 ms  ✓ ProgressLogging
    963.9 ms  ✓ Functors
    990.1 ms  ✓ StaticArraysCore
   1083.3 ms  ✓ MappedArrays
   2324.0 ms  ✓ Baselet
   1861.0 ms  ✓ ProgressMeter
   1760.0 ms  ✓ PDMats
   1506.6 ms  ✓ SparseInverseSubset
   1989.8 ms  ✓ WoodburyMatrices
   2793.9 ms  ✓ SentinelArrays
   1292.7 ms  ✓ LoggingExtras
   1118.0 ms  ✓ Preferences
   4149.4 ms  ✓ Compat
    736.5 ms  ✓ InplaceOps
    933.1 ms  ✓ FunctionWrappersWrappers
   1008.5 ms  ✓ StatisticalTraits
   3351.3 ms  ✓ ChangesOfVariables → ChangesOfVariablesTestExt
   4246.4 ms  ✓ AbstractFFTs → AbstractFFTsTestExt
   3668.5 ms  ✓ RuntimeGeneratedFunctions
    736.0 ms  ✓ TableTraits
   1129.7 ms  ✓ Atomix
   1490.3 ms  ✓ FillArrays → FillArraysSparseArraysExt
   1329.5 ms  ✓ Primes
   1758.9 ms  ✓ InverseFunctions → InverseFunctionsTestExt
    890.1 ms  ✓ InverseFunctions → InverseFunctionsDatesExt
    996.3 ms  ✓ ChangesOfVariables → ChangesOfVariablesInverseFunctionsExt
   1348.2 ms  ✓ Statistics → SparseArraysExt
    914.9 ms  ✓ FillArrays → FillArraysStatisticsExt
   1708.9 ms  ✓ CommonSubexpressions
   5931.6 ms  ✓ Lazy
   1838.4 ms  ✓ Random123
   1022.9 ms  ✓ Ratios
   1080.3 ms  ✓ Adapt
   1239.3 ms  ✓ SymbolicIndexingInterface
   2335.3 ms  ✓ LogDensityProblems
   1083.5 ms  ✓ LeftChildRightSiblingTrees
   1521.8 ms  ✓ LogExpFunctions
    776.6 ms  ✓ IntervalSets → IntervalSetsRandomExt
    792.6 ms  ✓ IntervalSets → IntervalSetsStatisticsExt
    858.2 ms  ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt
   1151.1 ms  ✓ AliasTables
    875.2 ms  ✓ ScopedValues
    973.6 ms  ✓ LRUCache → SerializationExt
   5480.9 ms  ✓ Libtask
   1229.6 ms  ✓ ConstructionBase → ConstructionBaseIntervalSetsExt
   1033.5 ms  ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt
   1554.6 ms  ✓ PooledArrays
   4181.6 ms  ✓ Missings
    855.3 ms  ✓ DiffResults
    917.4 ms  ✓ ConsoleProgressMonitor
   1540.6 ms  ✓ FillArrays → FillArraysPDMatsExt
   1429.9 ms  ✓ AxisAlgorithms
   1331.7 ms  ✓ JLLWrappers
   1004.8 ms  ✓ PrecompileTools
   1834.1 ms  ✓ TruncatedStacktraces
   1088.1 ms  ✓ Compat → CompatLinearAlgebraExt
   2828.3 ms  ✓ MLJModelInterface
   4684.1 ms  ✓ Tables
   2845.0 ms  ✓ FFTA
   2166.7 ms  ✓ DensityInterface
   4716.9 ms  ✓ ArrayInterface
   1285.8 ms  ✓ GPUArraysCore
    887.7 ms  ✓ OffsetArrays → OffsetArraysAdaptExt
   1131.5 ms  ✓ LogDensityProblemsAD
   2419.2 ms  ✓ TerminalLoggers
    979.3 ms  ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt
    989.3 ms  ✓ LogExpFunctions → LogExpFunctionsChangesOfVariablesExt
   1670.7 ms  ✓ AxisArrays
   3534.1 ms  ✓ Setfield
   8879.1 ms  ✓ Accessors
   1533.7 ms  ✓ Rmath_jll
   1525.5 ms  ✓ OpenSpecFun_jll
  17767.2 ms  ✓ StaticArrays
   2969.1 ms  ✓ RecipesBase
   3455.9 ms  ✓ StringManipulation
   3715.8 ms  ✓ DataStructures
   5290.7 ms  ✓ ChainRulesCore
   4603.7 ms  ✓ StructArrays
   1356.3 ms  ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt
   1250.1 ms  ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt
   3517.6 ms  ✓ SplittablesBase
   1780.7 ms  ✓ BangBang
   2200.4 ms  ✓ Accessors → LinearAlgebraExt
   1724.7 ms  ✓ Accessors → TestExt
   2297.1 ms  ✓ Accessors → IntervalSetsExt
   1592.8 ms  ✓ Rmath
   5903.7 ms  ✓ SpecialFunctions
   1610.5 ms  ✓ StaticArrays → StaticArraysStatisticsExt
   1459.2 ms  ✓ FillArrays → FillArraysStaticArraysExt
   1598.1 ms  ✓ ConstructionBase → ConstructionBaseStaticArraysExt
   1616.3 ms  ✓ Adapt → AdaptStaticArraysExt
   1795.0 ms  ✓ Accessors → StaticArraysExt
   1516.7 ms  ✓ IntervalSets → IntervalSetsRecipesBaseExt
  36582.1 ms  ✓ PrettyTables
   1719.1 ms  ✓ SortingAlgorithms
   6136.4 ms  ✓ QuadGK
              ✗ NamedArrays
   4813.0 ms  ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt
   2972.8 ms  ✓ ZygoteRules
   2346.3 ms  ✓ Optimisers
    941.1 ms  ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt
   3598.3 ms  ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt
   4197.9 ms  ✓ StaticArrays → StaticArraysChainRulesCoreExt
    947.7 ms  ✓ StructArrays → StructArraysAdaptExt
   1428.3 ms  ✓ StructArrays → StructArraysSparseArraysExt
   5128.0 ms  ✓ StructArrays → StructArraysStaticArraysExt
   1109.7 ms  ✓ StructArrays → StructArraysGPUArraysCoreExt
   1177.8 ms  ✓ Accessors → StructArraysExt
   7753.4 ms  ✓ SciMLOperators
   3522.2 ms  ✓ RecursiveArrayTools
   2040.9 ms  ✓ BangBang → BangBangStaticArraysExt
   1146.1 ms  ✓ BangBang → BangBangChainRulesCoreExt
   1265.8 ms  ✓ BangBang → BangBangStructArraysExt
   2259.4 ms  ✓ MicroCollections
  10537.3 ms  ✓ Roots
   4503.0 ms  ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt
   2597.6 ms  ✓ HypergeometricFunctions
   1570.0 ms  ✓ DiffRules
  12103.6 ms  ✓ KernelAbstractions
  11982.4 ms  ✓ StatsBase
  86830.6 ms  ✓ DataFrames
   6925.5 ms  ✓ Interpolations
  15080.6 ms  ✓ ChainRules
  13241.2 ms  ✓ SciMLBase
   9780.6 ms  ✓ Transducers
   1152.0 ms  ✓ Roots → RootsChainRulesCoreExt
   5699.1 ms  ✓ StatsFuns
  12240.2 ms  ✓ ForwardDiff
   2918.8 ms  ✓ KernelAbstractions → SparseArraysExt
   2896.1 ms  ✓ KernelAbstractions → LinearAlgebraExt
   8326.0 ms  ✓ BangBang → BangBangDataFramesExt
   7177.7 ms  ✓ Transducers → TransducersDataFramesExt
  10379.5 ms  ✓ AbstractMCMC
   1080.7 ms  ✓ StatsFuns → StatsFunsInverseFunctionsExt
   3745.1 ms  ✓ StatsFuns → StatsFunsChainRulesCoreExt
  14838.8 ms  ✓ Distributions
   3991.6 ms  ✓ ForwardDiff → ForwardDiffStaticArraysExt
   4126.0 ms  ✓ LogDensityProblemsAD → LogDensityProblemsADForwardDiffExt
   1307.7 ms  ✓ Roots → RootsForwardDiffExt
   2605.4 ms  ✓ Interpolations → InterpolationsForwardDiffExt
  14622.7 ms  ✓ NNlib
  13823.7 ms  ✓ AdvancedHMC
   8419.0 ms  ✓ AbstractPPL
   4940.4 ms  ✓ Distributions → DistributionsDensityInterfaceExt
   5328.4 ms  ✓ Distributions → DistributionsTestExt
   7401.2 ms  ✓ Distributions → DistributionsChainRulesCoreExt
   6517.0 ms  ✓ MCMCDiagnosticTools
   2628.4 ms  ✓ NNlib → NNlibSpecialFunctionsExt
   2709.4 ms  ✓ NNlib → NNlibForwardDiffExt
   5711.5 ms  ✓ EllipticalSliceSampling
   8937.5 ms  ✓ AdvancedMH
   6711.8 ms  ✓ AdvancedPS
   6082.3 ms  ✓ KernelDensity
  15760.5 ms  ✓ Bijectors
  11917.6 ms  ✓ DistributionsAD
  18182.3 ms  ✓ Tracker
   3400.0 ms  ✓ AdvancedMH → AdvancedMHStructArraysExt
   3483.4 ms  ✓ AdvancedMH → AdvancedMHForwardDiffExt
  10419.7 ms  ✓ MCMCChains
  26848.4 ms  ✓ DynamicPPL
   3412.2 ms  ✓ DistributionsAD → DistributionsADForwardDiffExt
   3511.6 ms  ✓ Tracker → TrackerPDMatsExt
   3656.7 ms  ✓ ArrayInterface → ArrayInterfaceTrackerExt
   6287.2 ms  ✓ LogDensityProblemsAD → LogDensityProblemsADTrackerExt
   4054.7 ms  ✓ RecursiveArrayTools → RecursiveArrayToolsTrackerExt
  10200.3 ms  ✓ DistributionsAD → DistributionsADTrackerExt
  16120.0 ms  ✓ MCMCTempering
   5956.1 ms  ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt
   5733.5 ms  ✓ AdvancedMH → AdvancedMHMCMCChainsExt
  10414.5 ms  ✓ AdvancedVI
  16043.1 ms  ✓ Turing
  219 dependencies successfully precompiled in 917 seconds. 23 already precompiled.

Precompilation completed after 933.0s


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

     Testing MCMCTempering
        Test Could not use exact versions of packages in manifest. Re-resolving dependencies
    Updating `/tmp/jl_DtoTYh/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
  [ce233488] + MCMCTempering v0.3.2
⌅ [fce5fe82] + Turing v0.24.4
    Updating `/tmp/jl_DtoTYh/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
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  [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
  [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_DtoTYh/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_DtoTYh/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
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  [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
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⌅ [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
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  [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
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  [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
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⌅ [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
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⌅ [08abe8d2] PrettyTables v2.4.0
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  [1fd47b50] QuadGK v2.11.2
  [74087812] Random123 v1.7.1
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  [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
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  [276daf66] SpecialFunctions v2.6.1
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  [90137ffa] StaticArrays v1.9.16
  [1e83bf80] StaticArraysCore v1.4.4
  [64bff920] StatisticalTraits v3.5.0
  [10745b16] Statistics v1.11.1
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⌅ [2913bbd2] StatsBase v0.33.21
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⌃ [09ab397b] StructArrays v0.6.18
⌅ [2efcf032] SymbolicIndexingInterface v0.2.2
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⌃ [28d57a85] Transducers v0.4.80
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⌅ [fce5fe82] Turing v0.24.4
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  [700de1a5] ZygoteRules v0.2.7
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  [1a1011a3] SharedArrays v1.11.0
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  [2f01184e] SparseArrays v1.12.0
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  [4607b0f0] SuiteSparse
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  [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...
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 => 496.641
│      :param_1 => 473.391
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 504.406
└      :param_1 => 394.66
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 496.641
│      :param_1 => 473.391
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 492.203
└      :param_1 => 789.267
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 496.641
│      :param_1 => 473.391
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 340.745
└      :param_1 => 494.218
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 496.641
│      :param_1 => 473.391
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 366.688
└      :param_1 => 457.8
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 496.641
│      :param_1 => 473.391
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 548.57
└      :param_1 => 472.92
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1576.37
│      :s => 1950.0
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1365.41
└      :s => 1513.06
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1576.37
│      :s => 1950.0
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 2574.76
└      :s => 3039.13
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 243.719
│      :s => 308.574
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 240.959
└      :s => 393.152
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 243.719
│      :s => 308.574
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 636.933
└      :s => 1178.54
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (0.9982472344696499, 1.0, 0.10005459534886635)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.1012381207377497, 1.118033988749895, 0.08912498999311562)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.2774268363932622, 1.25, 0.09282330277650473)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.478752992677023, 1.3975424859373684, 0.1413171095662107)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.5576433502761429, 1.5624999999999998, 0.11677008996981172)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.8274424325117424, 1.7469281074217102, 0.14812598001182917)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.023153400320412, 1.9531249999999996, 0.1818970058775466)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.265610518855891, 2.1836601342771376, 0.17592559670961458)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.4696963642333065, 2.4414062499999996, 0.19536163806995674)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.7172393460652073, 2.729575167846422, 0.2503866337820228)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (3.1655266251952794, 3.051757812499999, 0.28420179967716863)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.003803342583674, 1.0, 0.07806185604731593)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.1092309655770058, 1.118033988749895, 0.08866003960962189)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.2475302300658335, 1.25, 0.10092323042440945)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.3861257522415638, 1.3975424859373684, 0.10862024279543696)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.507291315243669, 1.5624999999999998, 0.12685642753352003)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.6582762120494614, 1.7469281074217102, 0.14126982103302083)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.053835928457032, 1.9531249999999996, 0.20217886528051135)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.1419460398654575, 2.1836601342771376, 0.22291755257036433)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.369083630214196, 2.4414062499999996, 0.25900970972194215)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.5899781638307475, 2.729575167846422, 0.2718490376327343)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.890828342580423, 3.051757812499999, 0.34250852182042985)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (0.9856587340330742, 1.0, 0.06818511513877876)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.137776333779201, 1.118033988749895, 0.07631860258809076)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.262648882306633, 1.25, 0.10163334083908344)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.3787804357936058, 1.3975424859373684, 0.11068679526719498)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.5532069276602993, 1.5624999999999998, 0.1243091284256565)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.7629644807967486, 1.7469281074217102, 0.13035332789186393)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.9001331777746775, 1.9531249999999996, 0.17878609156679898)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.1108136279353564, 2.1836601342771376, 0.18039031735076894)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.477291040651086, 2.4414062499999996, 0.2041760733065351)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.7328650230867675, 2.729575167846422, 0.21989180565179925)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (3.1209081737769386, 3.051757812499999, 0.32381791397477283)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (0.9856587340330742, 1.0, 0.06818511513877876)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.137776333779201, 1.118033988749895, 0.07631860258809076)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.262648882306633, 1.25, 0.10163334083908344)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.3787804357936058, 1.3975424859373684, 0.11068679526719498)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.5532069276602993, 1.5624999999999998, 0.1243091284256565)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.7629644807967486, 1.7469281074217102, 0.13035332789186393)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.9001331777746775, 1.9531249999999996, 0.17878609156679898)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.1108136279353564, 2.1836601342771376, 0.18039031735076894)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.477291040651086, 2.4414062499999996, 0.2041760733065351)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.7328650230867675, 2.729575167846422, 0.21989180565179925)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (3.1209081737769386, 3.051757812499999, 0.32381791397477283)
Test Summary:    | Pass  Total     Time
MCMCTempering.jl | 1521   1521  5m18.9s
     Testing MCMCTempering tests passed 

Testing completed after 360.52s

PkgEval succeeded after 1355.11s