Package evaluation of MCMCTempering on Julia 1.12.0-rc1 (228edd6610*) started at 2025-07-14T21:31:52.911


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

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 8.72s


################################################################################
# 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 v4.3.0
  [66dad0bd] + AliasTables v1.1.3
  [dce04be8] + ArgCheck v2.5.0
  [13072b0f] + AxisAlgorithms v1.1.0
  [39de3d68] + AxisArrays v0.4.7
⌅ [198e06fe] + BangBang v0.3.40
  [9718e550] + Baselet v0.1.1
  [d360d2e6] + ChainRulesCore v1.25.2
  [34da2185] + Compat v4.17.0
  [a33af91c] + CompositionsBase v0.1.2
  [2569d6c7] + ConcreteStructs v0.2.3
  [88cd18e8] + ConsoleProgressMonitor v0.1.2
  [187b0558] + ConstructionBase v1.6.0
  [a8cc5b0e] + Crayons v4.1.1
  [9a962f9c] + DataAPI v1.16.0
  [864edb3b] + DataStructures v0.18.22
  [e2d170a0] + DataValueInterfaces v1.0.0
  [244e2a9f] + DefineSingletons v0.1.2
  [31c24e10] + Distributions v0.25.120
  [ffbed154] + DocStringExtensions v0.9.5
  [7a1cc6ca] + FFTW v1.9.0
  [1a297f60] + FillArrays v1.13.0
  [34004b35] + HypergeometricFunctions v0.3.28
  [22cec73e] + InitialValues v0.3.1
  [a98d9a8b] + Interpolations v0.16.1
  [8197267c] + IntervalSets v0.7.11
  [3587e190] + InverseFunctions v0.1.17
  [92d709cd] + IrrationalConstants v0.2.4
  [c8e1da08] + IterTools v1.10.0
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [692b3bcd] + JLLWrappers v1.7.0
  [5ab0869b] + KernelDensity v0.6.10
  [b964fa9f] + LaTeXStrings v1.4.0
  [1d6d02ad] + LeftChildRightSiblingTrees v0.2.0
  [6fdf6af0] + LogDensityProblems v2.1.2
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [e6f89c97] + LoggingExtras v1.1.0
⌅ [c7f686f2] + MCMCChains v6.0.7
  [be115224] + MCMCDiagnosticTools v0.3.14
  [ce233488] + MCMCTempering v0.3.2
  [e80e1ace] + MLJModelInterface v1.11.1
  [1914dd2f] + MacroTools v0.5.16
⌅ [128add7d] + MicroCollections v0.1.4
  [e1d29d7a] + Missings v1.2.0
  [c020b1a1] + NaturalSort v1.0.0
  [6fe1bfb0] + OffsetArrays v1.17.0
  [bac558e1] + OrderedCollections v1.8.1
  [90014a1f] + PDMats v0.11.35
  [aea7be01] + PrecompileTools v1.3.2
  [21216c6a] + Preferences v1.4.3
  [08abe8d2] + PrettyTables v2.4.0
  [33c8b6b6] + ProgressLogging v0.1.5
  [92933f4c] + ProgressMeter v1.10.4
  [43287f4e] + PtrArrays v1.3.0
  [1fd47b50] + QuadGK v2.11.2
  [b3c3ace0] + RangeArrays v0.3.2
  [c84ed2f1] + Ratios v0.4.5
  [3cdcf5f2] + RecipesBase v1.3.4
  [189a3867] + Reexport v1.2.2
  [ae029012] + Requires v1.3.1
  [79098fc4] + Rmath v0.8.0
  [30f210dd] + ScientificTypesBase v3.0.0
  [efcf1570] + Setfield v1.1.2
  [a2af1166] + SortingAlgorithms v1.2.1
  [276daf66] + SpecialFunctions v2.5.1
  [171d559e] + SplittablesBase v0.1.15
  [90137ffa] + StaticArrays v1.9.13
  [1e83bf80] + StaticArraysCore v1.4.3
  [64bff920] + StatisticalTraits v3.5.0
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.7.1
  [2913bbd2] + StatsBase v0.34.5
  [4c63d2b9] + StatsFuns v1.5.0
  [892a3eda] + StringManipulation v0.4.1
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.12.1
  [5d786b92] + TerminalLoggers v0.1.7
⌃ [28d57a85] + Transducers v0.4.80
  [efce3f68] + WoodburyMatrices v1.0.0
  [f5851436] + FFTW_jll v3.3.11+0
  [1d5cc7b8] + IntelOpenMP_jll v2025.0.4+0
  [856f044c] + MKL_jll v2025.0.1+1
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
  [f50d1b31] + Rmath_jll v0.5.1+0
  [1317d2d5] + oneTBB_jll v2022.0.0+0
  [0dad84c5] + ArgTools v1.1.2
  [56f22d72] + Artifacts v1.11.0
  [2a0f44e3] + Base64 v1.11.0
  [ade2ca70] + Dates v1.11.0
  [8ba89e20] + Distributed v1.11.0
  [f43a241f] + Downloads v1.6.0
  [7b1f6079] + FileWatching v1.11.0
  [9fa8497b] + Future v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0
  [4af54fe1] + LazyArtifacts v1.11.0
  [b27032c2] + LibCURL v0.6.4
  [76f85450] + LibGit2 v1.11.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.12.0
  [56ddb016] + Logging v1.11.0
  [d6f4376e] + Markdown v1.11.0
  [a63ad114] + Mmap v1.11.0
  [ca575930] + NetworkOptions v1.3.0
  [44cfe95a] + Pkg v1.13.0
  [de0858da] + Printf v1.11.0
  [3fa0cd96] + REPL v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v0.7.0
  [9e88b42a] + Serialization v1.11.0
  [1a1011a3] + SharedArrays v1.11.0
  [6462fe0b] + Sockets v1.11.0
  [2f01184e] + SparseArrays v1.12.0
  [f489334b] + StyledStrings v1.11.0
  [4607b0f0] + SuiteSparse
  [fa267f1f] + TOML v1.0.3
  [a4e569a6] + Tar v1.10.0
  [8dfed614] + Test v1.11.0
  [cf7118a7] + UUIDs v1.11.0
  [4ec0a83e] + Unicode v1.11.0
  [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1
  [deac9b47] + LibCURL_jll v8.11.1+1
  [e37daf67] + LibGit2_jll v1.9.0+0
  [29816b5a] + LibSSH2_jll v1.11.3+1
  [14a3606d] + MozillaCACerts_jll v2025.5.20
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [05823500] + OpenLibm_jll v0.8.5+0
  [458c3c95] + OpenSSL_jll v3.5.1+0
  [bea87d4a] + SuiteSparse_jll v7.8.3+2
  [83775a58] + Zlib_jll v1.3.1+2
  [8e850b90] + libblastrampoline_jll v5.13.1+0
  [8e850ede] + nghttp2_jll v1.64.0+1
  [3f19e933] + p7zip_jll v17.5.0+2
        Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`

Installation completed after 4.31s


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

Precompiling PkgEval dependencies...

┌ Warning: Could not use exact versions of packages in manifest, re-resolving
└ @ TestEnv ~/.julia/packages/TestEnv/iS95e/src/julia-1.11/activate_set.jl:75
Precompiling package dependencies...

Precompilation completed after 1011.46s


################################################################################
# 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_gTR8gW/Project.toml`
⌅ [0bf59076] + AdvancedHMC v0.4.6
⌅ [5b7e9947] + AdvancedMH v0.7.5
⌅ [76274a88] + Bijectors v0.10.8
  [a93c6f00] + DataFrames v1.7.0
⌅ [f6369f11] + ForwardDiff v0.10.38
  [996a588d] + LogDensityProblemsAD v1.13.1
  [ce233488] + MCMCTempering v0.3.2
⌅ [fce5fe82] + Turing v0.24.4
    Updating `/tmp/jl_gTR8gW/Manifest.toml`
⌅ [7a57a42e] + AbstractPPL v0.5.4
  [7d9f7c33] + Accessors v0.1.42
⌅ [79e6a3ab] ↓ Adapt v4.3.0 ⇒ v3.7.2
⌅ [0bf59076] + AdvancedHMC v0.4.6
⌅ [5b7e9947] + AdvancedMH v0.7.5
⌅ [576499cb] + AdvancedPS v0.4.3
⌅ [b5ca4192] + AdvancedVI v0.1.6
⌃ [4fba245c] + ArrayInterface v7.7.1
  [a9b6321e] + Atomix v1.1.1
⌅ [76274a88] + Bijectors v0.10.8
  [082447d4] + ChainRules v1.72.5
  [9e997f8a] + ChangesOfVariables v0.1.10
  [861a8166] + Combinatorics v1.0.3
  [38540f10] + CommonSolve v0.2.4
  [bbf7d656] + CommonSubexpressions v0.3.1
  [2569d6c7] + ConcreteStructs v0.2.3
  [a93c6f00] + DataFrames v1.7.0
  [8bb1440f] + DelimitedFiles v1.9.1
  [b429d917] + DensityInterface v0.4.0
  [163ba53b] + DiffResults v1.1.0
  [b552c78f] + DiffRules v1.15.1
  [ced4e74d] + DistributionsAD v0.6.58
⌅ [366bfd00] + DynamicPPL v0.21.6
⌅ [cad2338a] + EllipticalSliceSampling v1.1.0
  [4e289a0a] + EnumX v1.0.5
  [e2ba6199] + ExprTools v0.1.10
⌅ [f6369f11] + ForwardDiff v0.10.38
  [069b7b12] + FunctionWrappers v1.1.3
  [77dc65aa] + FunctionWrappersWrappers v0.1.3
⌅ [d9f16b24] + Functors v0.3.0
⌅ [46192b85] + GPUArraysCore v0.1.5
  [076d061b] + HashArrayMappedTries v0.2.0
  [842dd82b] + InlineStrings v1.4.4
  [505f98c9] + InplaceOps v0.3.0
  [3587e190] + InverseFunctions v0.1.17
  [41ab1584] + InvertedIndices v1.3.1
  [63c18a36] + KernelAbstractions v0.9.37
  [8ac3fa9e] + LRUCache v1.6.2
  [50d2b5c4] + Lazy v0.15.1
⌅ [6f1fad26] + Libtask v0.8.8
  [996a588d] + LogDensityProblemsAD v1.13.1
  [ce233488] + MCMCTempering v0.3.2
  [dbb5928d] + MappedArrays v0.4.2
  [872c559c] + NNlib v0.9.30
  [77ba4419] + NaNMath v1.1.3
⌅ [86f7a689] + NamedArrays v0.9.8
⌃ [3bd65402] + Optimisers v0.2.15
  [2dfb63ee] + PooledArrays v1.4.3
  [74087812] + Random123 v1.7.1
  [e6cf234a] + RandomNumbers v1.6.0
  [c1ae055f] + RealDot v0.1.0
⌅ [731186ca] + RecursiveArrayTools v2.38.10
  [f2b01f46] + Roots v2.2.8
  [7e49a35a] + RuntimeGeneratedFunctions v0.5.15
⌅ [0bca4576] + SciMLBase v1.92.0
⌅ [c0aeaf25] + SciMLOperators v0.2.12
  [7e506255] + ScopedValues v1.3.0
  [91c51154] + SentinelArrays v1.4.8
  [ce78b400] + SimpleUnPack v1.1.0
  [dc90abb0] + SparseInverseSubset v0.1.2
⌅ [2913bbd2] ↓ StatsBase v0.34.5 ⇒ v0.33.21
⌃ [09ab397b] + StructArrays v0.6.18
⌅ [2efcf032] + SymbolicIndexingInterface v0.2.2
  [9f7883ad] + Tracker v0.2.38
  [410a4b4d] + Tricks v0.1.10
  [781d530d] + TruncatedStacktraces v1.4.0
⌅ [fce5fe82] + Turing v0.24.4
  [013be700] + UnsafeAtomics v0.3.0
  [700de1a5] + ZygoteRules v0.2.7
        Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`
        Test Successfully re-resolved
      Status `/tmp/jl_gTR8gW/Project.toml`
⌅ [80f14c24] AbstractMCMC v4.4.2
⌅ [0bf59076] AdvancedHMC v0.4.6
⌅ [5b7e9947] AdvancedMH v0.7.5
⌅ [76274a88] Bijectors v0.10.8
  [a93c6f00] DataFrames v1.7.0
  [31c24e10] Distributions v0.25.120
  [1a297f60] FillArrays v1.13.0
⌅ [f6369f11] ForwardDiff v0.10.38
  [6fdf6af0] LogDensityProblems v2.1.2
  [996a588d] LogDensityProblemsAD v1.13.1
⌅ [c7f686f2] MCMCChains v6.0.7
  [be115224] MCMCDiagnosticTools v0.3.14
  [ce233488] MCMCTempering v0.3.2
  [efcf1570] Setfield v1.1.2
  [10745b16] Statistics v1.11.1
⌅ [fce5fe82] Turing v0.24.4
  [37e2e46d] LinearAlgebra v1.12.0
  [9a3f8284] Random v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_gTR8gW/Manifest.toml`
  [621f4979] AbstractFFTs v1.5.0
⌅ [80f14c24] AbstractMCMC v4.4.2
⌅ [7a57a42e] AbstractPPL v0.5.4
  [1520ce14] AbstractTrees v0.4.5
  [7d9f7c33] Accessors v0.1.42
⌅ [79e6a3ab] Adapt v3.7.2
⌅ [0bf59076] AdvancedHMC v0.4.6
⌅ [5b7e9947] AdvancedMH v0.7.5
⌅ [576499cb] AdvancedPS v0.4.3
⌅ [b5ca4192] AdvancedVI v0.1.6
  [66dad0bd] AliasTables v1.1.3
  [dce04be8] ArgCheck v2.5.0
⌃ [4fba245c] ArrayInterface v7.7.1
  [a9b6321e] Atomix v1.1.1
  [13072b0f] AxisAlgorithms v1.1.0
  [39de3d68] AxisArrays v0.4.7
⌅ [198e06fe] BangBang v0.3.40
  [9718e550] Baselet v0.1.1
⌅ [76274a88] Bijectors v0.10.8
  [082447d4] ChainRules v1.72.5
  [d360d2e6] ChainRulesCore v1.25.2
  [9e997f8a] ChangesOfVariables v0.1.10
  [861a8166] Combinatorics v1.0.3
  [38540f10] CommonSolve v0.2.4
  [bbf7d656] CommonSubexpressions v0.3.1
  [34da2185] Compat v4.17.0
  [a33af91c] CompositionsBase v0.1.2
  [2569d6c7] ConcreteStructs v0.2.3
  [88cd18e8] ConsoleProgressMonitor v0.1.2
  [187b0558] ConstructionBase v1.6.0
  [a8cc5b0e] Crayons v4.1.1
  [9a962f9c] DataAPI v1.16.0
  [a93c6f00] DataFrames v1.7.0
  [864edb3b] DataStructures v0.18.22
  [e2d170a0] DataValueInterfaces v1.0.0
  [244e2a9f] DefineSingletons v0.1.2
  [8bb1440f] DelimitedFiles v1.9.1
  [b429d917] DensityInterface v0.4.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [31c24e10] Distributions v0.25.120
  [ced4e74d] DistributionsAD v0.6.58
  [ffbed154] DocStringExtensions v0.9.5
⌅ [366bfd00] DynamicPPL v0.21.6
⌅ [cad2338a] EllipticalSliceSampling v1.1.0
  [4e289a0a] EnumX v1.0.5
  [e2ba6199] ExprTools v0.1.10
  [7a1cc6ca] FFTW v1.9.0
  [1a297f60] FillArrays v1.13.0
⌅ [f6369f11] ForwardDiff v0.10.38
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v0.1.3
⌅ [d9f16b24] Functors v0.3.0
⌅ [46192b85] GPUArraysCore v0.1.5
  [076d061b] HashArrayMappedTries v0.2.0
  [34004b35] HypergeometricFunctions v0.3.28
  [22cec73e] InitialValues v0.3.1
  [842dd82b] InlineStrings v1.4.4
  [505f98c9] InplaceOps v0.3.0
  [a98d9a8b] Interpolations v0.16.1
  [8197267c] IntervalSets v0.7.11
  [3587e190] InverseFunctions v0.1.17
  [41ab1584] InvertedIndices v1.3.1
  [92d709cd] IrrationalConstants v0.2.4
  [c8e1da08] IterTools v1.10.0
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.7.0
  [63c18a36] KernelAbstractions v0.9.37
  [5ab0869b] KernelDensity v0.6.10
  [8ac3fa9e] LRUCache v1.6.2
  [b964fa9f] LaTeXStrings v1.4.0
  [50d2b5c4] Lazy v0.15.1
  [1d6d02ad] LeftChildRightSiblingTrees v0.2.0
⌅ [6f1fad26] Libtask v0.8.8
  [6fdf6af0] LogDensityProblems v2.1.2
  [996a588d] LogDensityProblemsAD v1.13.1
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.1.0
⌅ [c7f686f2] MCMCChains v6.0.7
  [be115224] MCMCDiagnosticTools v0.3.14
  [ce233488] MCMCTempering v0.3.2
  [e80e1ace] MLJModelInterface v1.11.1
  [1914dd2f] MacroTools v0.5.16
  [dbb5928d] MappedArrays v0.4.2
⌅ [128add7d] MicroCollections v0.1.4
  [e1d29d7a] Missings v1.2.0
  [872c559c] NNlib v0.9.30
  [77ba4419] NaNMath v1.1.3
⌅ [86f7a689] NamedArrays v0.9.8
  [c020b1a1] NaturalSort v1.0.0
  [6fe1bfb0] OffsetArrays v1.17.0
⌃ [3bd65402] Optimisers v0.2.15
  [bac558e1] OrderedCollections v1.8.1
  [90014a1f] PDMats v0.11.35
  [2dfb63ee] PooledArrays v1.4.3
  [aea7be01] PrecompileTools v1.3.2
  [21216c6a] Preferences v1.4.3
  [08abe8d2] PrettyTables v2.4.0
  [33c8b6b6] ProgressLogging v0.1.5
  [92933f4c] ProgressMeter v1.10.4
  [43287f4e] PtrArrays v1.3.0
  [1fd47b50] QuadGK v2.11.2
  [74087812] Random123 v1.7.1
  [e6cf234a] RandomNumbers v1.6.0
  [b3c3ace0] RangeArrays v0.3.2
  [c84ed2f1] Ratios v0.4.5
  [c1ae055f] RealDot v0.1.0
  [3cdcf5f2] RecipesBase v1.3.4
⌅ [731186ca] RecursiveArrayTools v2.38.10
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.1
  [79098fc4] Rmath v0.8.0
  [f2b01f46] Roots v2.2.8
  [7e49a35a] RuntimeGeneratedFunctions v0.5.15
⌅ [0bca4576] SciMLBase v1.92.0
⌅ [c0aeaf25] SciMLOperators v0.2.12
  [30f210dd] ScientificTypesBase v3.0.0
  [7e506255] ScopedValues v1.3.0
  [91c51154] SentinelArrays v1.4.8
  [efcf1570] Setfield v1.1.2
  [ce78b400] SimpleUnPack v1.1.0
  [a2af1166] SortingAlgorithms v1.2.1
  [dc90abb0] SparseInverseSubset v0.1.2
  [276daf66] SpecialFunctions v2.5.1
  [171d559e] SplittablesBase v0.1.15
  [90137ffa] StaticArrays v1.9.13
  [1e83bf80] StaticArraysCore v1.4.3
  [64bff920] StatisticalTraits v3.5.0
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.1
⌅ [2913bbd2] StatsBase v0.33.21
  [4c63d2b9] StatsFuns v1.5.0
  [892a3eda] StringManipulation v0.4.1
⌃ [09ab397b] StructArrays v0.6.18
⌅ [2efcf032] SymbolicIndexingInterface v0.2.2
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.1
  [5d786b92] TerminalLoggers v0.1.7
  [9f7883ad] Tracker v0.2.38
⌃ [28d57a85] Transducers v0.4.80
  [410a4b4d] Tricks v0.1.10
  [781d530d] TruncatedStacktraces v1.4.0
⌅ [fce5fe82] Turing v0.24.4
  [013be700] UnsafeAtomics v0.3.0
  [efce3f68] WoodburyMatrices v1.0.0
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  [f5851436] FFTW_jll v3.3.11+0
  [1d5cc7b8] IntelOpenMP_jll v2025.0.4+0
  [856f044c] MKL_jll v2025.0.1+1
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  [1317d2d5] oneTBB_jll v2022.0.0+0
  [0dad84c5] ArgTools v1.1.2
  [56f22d72] Artifacts v1.11.0
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  [ade2ca70] Dates v1.11.0
  [8ba89e20] Distributed v1.11.0
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  [9fa8497b] Future v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
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  [a63ad114] Mmap v1.11.0
  [ca575930] NetworkOptions v1.3.0
  [44cfe95a] Pkg v1.13.0
  [de0858da] Printf v1.11.0
  [3fa0cd96] REPL v1.11.0
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  [ea8e919c] SHA v0.7.0
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  [f489334b] StyledStrings v1.11.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
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  [4ec0a83e] Unicode v1.11.0
  [e66e0078] CompilerSupportLibraries_jll v1.3.0+1
  [deac9b47] LibCURL_jll v8.11.1+1
  [e37daf67] LibGit2_jll v1.9.0+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2025.5.20
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  [05823500] OpenLibm_jll v0.8.5+0
  [458c3c95] OpenSSL_jll v3.5.1+0
  [bea87d4a] SuiteSparse_jll v7.8.3+2
  [83775a58] Zlib_jll v1.3.1+2
  [8e850b90] libblastrampoline_jll v5.13.1+0
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        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...
  19792.6 ms  ✓ MCMCTempering
  1 dependency successfully precompiled in 23 seconds. 157 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...
  13337.4 ms  ✓ BangBang → BangBangDataFramesExt
  1 dependency successfully precompiled in 14 seconds. 43 already precompiled.
Precompiling packages...
   8101.7 ms  ✓ Transducers → TransducersDataFramesExt
  1 dependency successfully precompiled in 9 seconds. 56 already precompiled.
The temperature was sorted to ensure decreasing order.
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 533.156
│      :param_1 => 508.511
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 344.122
└      :param_1 => 474.902
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 533.156
│      :param_1 => 508.511
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 638.239
└      :param_1 => 528.92
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 533.156
│      :param_1 => 508.511
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 366.386
└      :param_1 => 513.635
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 533.156
│      :param_1 => 508.511
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 316.217
└      :param_1 => 347.328
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 533.156
│      :param_1 => 508.511
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 562.297
└      :param_1 => 560.296
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1359.45
│      :s => 1917.57
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1448.93
└      :s => 1575.67
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1359.45
│      :s => 1917.57
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 2777.05
└      :s => 2647.74
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 211.095
│      :s => 356.502
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 272.644
└      :s => 429.543
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 211.095
│      :s => 356.502
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 741.48
└      :s => 1127.16
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.032477582426838, 1.0, 0.07778228732477285)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.136760379080166, 1.118033988749895, 0.08850651740982579)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.2982607183282144, 1.25, 0.10237120027249087)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.4319876358826917, 1.3975424859373684, 0.10848457101199951)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.5949851648854507, 1.5624999999999998, 0.11989442865611327)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.8473195067049282, 1.7469281074217102, 0.1699168828735632)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.084781935994632, 1.9531249999999996, 0.16134111941816517)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.1982189760204625, 2.1836601342771376, 0.1639344049875968)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.4610729277628125, 2.4414062499999996, 0.23946691910207932)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.807897305705708, 2.729575167846422, 0.22581690212484473)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (3.3145947632931754, 3.051757812499999, 0.3152549201292374)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.0097391931225488, 1.0, 0.08303146844140206)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.2100263807943519, 1.118033988749895, 0.09821137933448316)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.2123705552043245, 1.25, 0.09102812000993848)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.4111190138957113, 1.3975424859373684, 0.12391633584187252)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.6085651896474265, 1.5624999999999998, 0.16015333526238176)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.7727823743065694, 1.7469281074217102, 0.1669426374342454)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.9089837510167271, 1.9531249999999996, 0.1504126057161301)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.299884985753697, 2.1836601342771376, 0.2444614405923702)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.43765756782777, 2.4414062499999996, 0.2397324192383251)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.763684981699271, 2.729575167846422, 0.32479663394978586)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.9423192024169875, 3.051757812499999, 0.32067303904713484)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.010957633392812, 1.0, 0.07729741310773841)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.1235964362981157, 1.118033988749895, 0.08547890849883555)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.2938300103747846, 1.25, 0.09746141803248215)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.4034956369543006, 1.3975424859373684, 0.11220405740523803)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.5858798263648168, 1.5624999999999998, 0.12113110281489521)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.7768026453681605, 1.7469281074217102, 0.1405591949341213)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.9587902530152508, 1.9531249999999996, 0.14894618002479898)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.30269219783205, 2.1836601342771376, 0.1677882738209026)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.5614114574415816, 2.4414062499999996, 0.20237531774067508)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.7879737827220756, 2.729575167846422, 0.26077584497177125)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (3.1160334652234036, 3.051757812499999, 0.31606963231091)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.010957633392812, 1.0, 0.07729741310773841)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.1235964362981157, 1.118033988749895, 0.08547890849883555)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.2938300103747846, 1.25, 0.09746141803248215)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.4034956369543006, 1.3975424859373684, 0.11220405740523803)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.5858798263648168, 1.5624999999999998, 0.12113110281489521)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.7768026453681605, 1.7469281074217102, 0.1405591949341213)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.9587902530152508, 1.9531249999999996, 0.14894618002479898)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.30269219783205, 2.1836601342771376, 0.1677882738209026)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.5614114574415816, 2.4414062499999996, 0.20237531774067508)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.7879737827220756, 2.729575167846422, 0.26077584497177125)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (3.1160334652234036, 3.051757812499999, 0.31606963231091)
Test Summary:    | Pass  Total     Time
MCMCTempering.jl | 1521   1521  5m23.0s
     Testing MCMCTempering tests passed 

Testing completed after 415.91s

PkgEval succeeded after 1472.35s