Package evaluation of MCMCTempering on Julia 1.13.0-DEV.111 (ce76dbf07d*) started at 2025-02-28T03:59:16.876


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

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 8.26s


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

Installing MCMCTempering...
   Resolving package versions...
    Updating `~/.julia/environments/v1.13/Project.toml`
  [ce233488] + MCMCTempering v0.3.2
    Updating `~/.julia/environments/v1.13/Manifest.toml`
  [621f4979] + AbstractFFTs v1.5.0
⌅ [80f14c24] + AbstractMCMC v4.4.2
  [1520ce14] + AbstractTrees v0.4.5
  [79e6a3ab] + Adapt v4.2.0
  [66dad0bd] + AliasTables v1.1.3
  [dce04be8] + ArgCheck v2.4.0
  [13072b0f] + AxisAlgorithms v1.1.0
  [39de3d68] + AxisArrays v0.4.7
⌅ [198e06fe] + BangBang v0.3.40
  [9718e550] + Baselet v0.1.1
  [d360d2e6] + ChainRulesCore v1.25.1
  [34da2185] + Compat v4.16.0
  [a33af91c] + CompositionsBase v0.1.2
  [2569d6c7] + ConcreteStructs v0.2.3
  [88cd18e8] + ConsoleProgressMonitor v0.1.2
  [187b0558] + ConstructionBase v1.5.8
  [a8cc5b0e] + Crayons v4.1.1
  [9a962f9c] + DataAPI v1.16.0
  [864edb3b] + DataStructures v0.18.20
  [e2d170a0] + DataValueInterfaces v1.0.0
  [244e2a9f] + DefineSingletons v0.1.2
  [31c24e10] + Distributions v0.25.117
  [ffbed154] + DocStringExtensions v0.9.3
  [7a1cc6ca] + FFTW v1.8.1
  [1a297f60] + FillArrays v1.13.0
  [34004b35] + HypergeometricFunctions v0.3.27
  [22cec73e] + InitialValues v0.3.1
  [a98d9a8b] + Interpolations v0.15.1
  [8197267c] + IntervalSets v0.7.10
  [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 v0.6.9
  [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 v1.11.0
  [1914dd2f] + MacroTools v0.5.15
⌅ [128add7d] + MicroCollections v0.1.4
  [e1d29d7a] + Missings v1.2.0
  [c020b1a1] + NaturalSort v1.0.0
  [6fe1bfb0] + OffsetArrays v1.15.0
  [bac558e1] + OrderedCollections v1.8.0
  [90014a1f] + PDMats v0.11.32
  [aea7be01] + PrecompileTools v1.2.1
  [21216c6a] + Preferences v1.4.3
  [08abe8d2] + PrettyTables v2.4.0
  [33c8b6b6] + ProgressLogging v0.1.4
  [92933f4c] + ProgressMeter v1.10.2
  [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 v2.5.0
  [171d559e] + SplittablesBase v0.1.15
  [90137ffa] + StaticArrays v1.9.12
  [1e83bf80] + StaticArraysCore v1.4.3
  [64bff920] + StatisticalTraits v3.4.0
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.7.0
  [2913bbd2] + StatsBase v0.34.4
  [4c63d2b9] + StatsFuns v1.3.2
  [892a3eda] + StringManipulation v0.4.1
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.12.0
  [5d786b92] + TerminalLoggers v0.1.7
⌃ [28d57a85] + Transducers v0.4.80
  [efce3f68] + WoodburyMatrices v1.0.0
  [f5851436] + FFTW_jll v3.3.10+3
  [1d5cc7b8] + IntelOpenMP_jll v2025.0.4+0
  [856f044c] + MKL_jll v2025.0.1+1
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
  [f50d1b31] + Rmath_jll v0.5.1+0
  [1317d2d5] + oneTBB_jll v2022.0.0+0
  [0dad84c5] + ArgTools v1.1.2
  [56f22d72] + Artifacts v1.11.0
  [2a0f44e3] + Base64 v1.11.0
  [ade2ca70] + Dates v1.11.0
  [8ba89e20] + Distributed v1.11.0
  [f43a241f] + Downloads v1.7.0
  [7b1f6079] + FileWatching v1.11.0
  [9fa8497b] + Future v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0
  [4af54fe1] + LazyArtifacts v1.11.0
  [b27032c2] + LibCURL v0.6.4
  [76f85450] + LibGit2 v1.11.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.12.0
  [56ddb016] + Logging v1.11.0
  [d6f4376e] + Markdown v1.11.0
  [a63ad114] + Mmap v1.11.0
  [ca575930] + NetworkOptions v1.3.0
  [44cfe95a] + Pkg v1.12.0
  [de0858da] + Printf 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 v2024.12.31
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [05823500] + OpenLibm_jll v0.8.5+0
  [458c3c95] + OpenSSL_jll v3.0.16+0
  [bea87d4a] + SuiteSparse_jll v7.8.3+2
  [83775a58] + Zlib_jll v1.3.1+2
  [8e850b90] + libblastrampoline_jll v5.12.0+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 4.03s


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

Precompiling PkgEval dependencies...

┌ Warning: Could not use exact versions of packages in manifest, re-resolving
└ @ TestEnv ~/.julia/packages/TestEnv/tgnBf/src/julia-1.11/activate_set.jl:63
Precompiling package dependencies...

Precompilation completed after 1027.37s


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

     Testing MCMCTempering
        Test Could not use exact versions of packages in manifest. Re-resolving dependencies
    Updating `/tmp/jl_Sf0Udc/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 v1.13.0
  [ce233488] + MCMCTempering v0.3.2
⌅ [fce5fe82] + Turing v0.24.4
    Updating `/tmp/jl_Sf0Udc/Manifest.toml`
⌅ [7a57a42e] + AbstractPPL v0.5.4
  [7d9f7c33] + Accessors v0.1.42
⌅ [79e6a3ab] ↓ Adapt v4.2.0 ⇒ 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 v1.72.3
  [9e997f8a] + ChangesOfVariables v0.1.9
  [861a8166] + Combinatorics v1.0.2
  [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 v0.6.57
⌅ [366bfd00] + DynamicPPL v0.21.6
⌅ [cad2338a] + EllipticalSliceSampling v1.1.0
  [4e289a0a] + EnumX v1.0.4
  [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
  [842dd82b] + InlineStrings v1.4.3
  [505f98c9] + InplaceOps v0.3.0
  [3587e190] + InverseFunctions v0.1.17
  [41ab1584] + InvertedIndices v1.3.1
  [63c18a36] + KernelAbstractions v0.9.34
  [8ac3fa9e] + LRUCache v1.6.1
  [50d2b5c4] + Lazy v0.15.1
  [6f1fad26] + Libtask v0.8.8
  [996a588d] + LogDensityProblemsAD v1.13.0
  [ce233488] + MCMCTempering v0.3.2
  [dbb5928d] + MappedArrays v0.4.2
  [872c559c] + NNlib v0.9.27
  [77ba4419] + NaNMath v1.1.2
⌅ [86f7a689] + NamedArrays v0.9.8
⌃ [3bd65402] + Optimisers v0.2.15
  [2dfb63ee] + PooledArrays v1.4.3
  [74087812] + Random123 v1.7.0
  [e6cf234a] + RandomNumbers v1.6.0
  [c1ae055f] + RealDot v0.1.0
⌅ [731186ca] + RecursiveArrayTools v2.38.10
  [f2b01f46] + Roots v2.2.5
  [7e49a35a] + RuntimeGeneratedFunctions v0.5.13
⌅ [0bca4576] + SciMLBase v1.92.0
⌅ [c0aeaf25] + SciMLOperators v0.2.12
  [91c51154] + SentinelArrays v1.4.8
  [ce78b400] + SimpleUnPack v1.1.0
  [dc90abb0] + SparseInverseSubset v0.1.2
⌅ [2913bbd2] ↓ StatsBase v0.34.4 ⇒ v0.33.21
⌃ [09ab397b] + StructArrays v0.6.18
⌅ [2efcf032] + SymbolicIndexingInterface v0.2.2
  [9f7883ad] + Tracker v0.2.37
  [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_Sf0Udc/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 v0.25.117
  [1a297f60] FillArrays v1.13.0
  [f6369f11] ForwardDiff v0.10.38
  [6fdf6af0] LogDensityProblems v2.1.2
  [996a588d] LogDensityProblemsAD v1.13.0
  [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_Sf0Udc/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 v2.4.0
⌃ [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 v1.72.3
  [d360d2e6] ChainRulesCore v1.25.1
  [9e997f8a] ChangesOfVariables v0.1.9
  [861a8166] Combinatorics v1.0.2
  [38540f10] CommonSolve v0.2.4
  [bbf7d656] CommonSubexpressions v0.3.1
  [34da2185] Compat v4.16.0
  [a33af91c] CompositionsBase v0.1.2
  [2569d6c7] ConcreteStructs v0.2.3
  [88cd18e8] ConsoleProgressMonitor v0.1.2
  [187b0558] ConstructionBase v1.5.8
  [a8cc5b0e] Crayons v4.1.1
  [9a962f9c] DataAPI v1.16.0
  [a93c6f00] DataFrames v1.7.0
  [864edb3b] DataStructures v0.18.20
  [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 v0.25.117
  [ced4e74d] DistributionsAD v0.6.57
  [ffbed154] DocStringExtensions v0.9.3
⌅ [366bfd00] DynamicPPL v0.21.6
⌅ [cad2338a] EllipticalSliceSampling v1.1.0
  [4e289a0a] EnumX v1.0.4
  [e2ba6199] ExprTools v0.1.10
  [7a1cc6ca] FFTW v1.8.1
  [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
  [34004b35] HypergeometricFunctions v0.3.27
  [22cec73e] InitialValues v0.3.1
  [842dd82b] InlineStrings v1.4.3
  [505f98c9] InplaceOps v0.3.0
  [a98d9a8b] Interpolations v0.15.1
  [8197267c] IntervalSets v0.7.10
  [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 v0.9.34
  [5ab0869b] KernelDensity v0.6.9
  [8ac3fa9e] LRUCache v1.6.1
  [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 v1.13.0
  [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 v1.11.0
  [1914dd2f] MacroTools v0.5.15
  [dbb5928d] MappedArrays v0.4.2
⌅ [128add7d] MicroCollections v0.1.4
  [e1d29d7a] Missings v1.2.0
  [872c559c] NNlib v0.9.27
  [77ba4419] NaNMath v1.1.2
⌅ [86f7a689] NamedArrays v0.9.8
  [c020b1a1] NaturalSort v1.0.0
  [6fe1bfb0] OffsetArrays v1.15.0
⌃ [3bd65402] Optimisers v0.2.15
  [bac558e1] OrderedCollections v1.8.0
  [90014a1f] PDMats v0.11.32
  [2dfb63ee] PooledArrays v1.4.3
  [aea7be01] PrecompileTools v1.2.1
  [21216c6a] Preferences v1.4.3
  [08abe8d2] PrettyTables v2.4.0
  [33c8b6b6] ProgressLogging v0.1.4
  [92933f4c] ProgressMeter v1.10.2
  [43287f4e] PtrArrays v1.3.0
  [1fd47b50] QuadGK v2.11.2
  [74087812] Random123 v1.7.0
  [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 v2.2.5
  [7e49a35a] RuntimeGeneratedFunctions v0.5.13
⌅ [0bca4576] SciMLBase v1.92.0
⌅ [c0aeaf25] SciMLOperators v0.2.12
  [30f210dd] ScientificTypesBase v3.0.0
  [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 v2.5.0
  [171d559e] SplittablesBase v0.1.15
  [90137ffa] StaticArrays v1.9.12
  [1e83bf80] StaticArraysCore v1.4.3
  [64bff920] StatisticalTraits v3.4.0
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.0
⌅ [2913bbd2] StatsBase v0.33.21
  [4c63d2b9] StatsFuns v1.3.2
  [892a3eda] StringManipulation v0.4.1
⌃ [09ab397b] StructArrays v0.6.18
⌅ [2efcf032] SymbolicIndexingInterface v0.2.2
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.0
  [5d786b92] TerminalLoggers v0.1.7
  [9f7883ad] Tracker v0.2.37
⌃ [28d57a85] Transducers v0.4.80
  [410a4b4d] Tricks v0.1.10
  [781d530d] TruncatedStacktraces v1.4.0
⌅ [fce5fe82] Turing v0.24.4
  [013be700] UnsafeAtomics v0.3.0
  [efce3f68] WoodburyMatrices v1.0.0
  [700de1a5] ZygoteRules v0.2.7
  [f5851436] FFTW_jll v3.3.10+3
  [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
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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...
  16991.6 ms  ✓ MCMCTempering
  1 dependency successfully precompiled in 23 seconds. 155 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...
  13115.3 ms  ✓ BangBang → BangBangDataFramesExt
  1 dependency successfully precompiled in 13 seconds. 43 already precompiled.
Precompiling packages...
   8384.4 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 => 347.283
│      :param_1 => 524.854
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 448.158
└      :param_1 => 367.859
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 347.283
│      :param_1 => 524.854
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 658.388
└      :param_1 => 581.303
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 347.283
│      :param_1 => 524.854
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 415.252
└      :param_1 => 445.63
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 347.283
│      :param_1 => 524.854
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 463.72
└      :param_1 => 390.156
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 347.283
│      :param_1 => 524.854
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :param_2 => 579.302
└      :param_1 => 422.936
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1686.93
│      :s => 1640.56
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1296.07
└      :s => 1667.9
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 1686.93
│      :s => 1640.56
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 2636.88
└      :s => 2674.54
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 122.833
│      :s => 346.862
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 251.965
└      :s => 349.078
┌ Info: 
│   ess =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 122.833
│      :s => 346.862
│   ess_tempered =
│    Dict{Symbol, Float64} with 2 entries:
│      :m => 950.274
└      :s => 1041.91
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (0.9713391469459896, 1.0, 0.08195971206212922)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.097148675852459, 1.118033988749895, 0.0891861367506084)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.35013479401095, 1.25, 0.12511414832413356)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.4353195180361853, 1.3975424859373684, 0.10151934591837126)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.6003533541683976, 1.5624999999999998, 0.12368339365612421)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.771704738246403, 1.7469281074217102, 0.13422062426896594)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.975570556750643, 1.9531249999999996, 0.14943587413925782)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.1975644696198455, 2.1836601342771376, 0.16307138338942445)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.4242444658004305, 2.4414062499999996, 0.19389156761333645)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.7376482285687156, 2.729575167846422, 0.22433516414559143)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (3.1026651388961883, 3.051757812499999, 0.38117917503059423)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (0.9916527639872175, 1.0, 0.07638174291518941)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.056211796184114, 1.118033988749895, 0.0911329157813776)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.2187467412630115, 1.25, 0.10014502825316354)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.3659276270375733, 1.3975424859373684, 0.10523021019687501)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.5346820457898487, 1.5624999999999998, 0.13195210230024246)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.7587509028137567, 1.7469281074217102, 0.16345697699891845)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.9603412047379787, 1.9531249999999996, 0.19010155215024646)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.139123898804839, 2.1836601342771376, 0.2135512565171584)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.5108162638172393, 2.4414062499999996, 0.2225428059103704)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.724527364961331, 2.729575167846422, 0.34297709401021764)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.8899701753615314, 3.051757812499999, 0.3448751228328955)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (0.9985321054915202, 1.0, 0.07114841724606571)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.1258785017699482, 1.118033988749895, 0.08300100023643821)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.275715150782836, 1.25, 0.09822151134311571)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.4053589817951249, 1.3975424859373684, 0.0991263573501461)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.52805352275522, 1.5624999999999998, 0.11820609266752133)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.727029599745725, 1.7469281074217102, 0.13105385428784047)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.9306720900024386, 1.9531249999999996, 0.14418609563081305)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.1641393847054924, 2.1836601342771376, 0.17840579134560733)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.386378528794652, 2.4414062499999996, 0.17739263606977415)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.6540633578173813, 2.729575167846422, 0.19590245218262778)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (3.015872621959255, 3.051757812499999, 0.28722196392231847)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (0.9985321054915202, 1.0, 0.07114841724606571)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.1258785017699482, 1.118033988749895, 0.08300100023643821)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.275715150782836, 1.25, 0.09822151134311571)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.4053589817951249, 1.3975424859373684, 0.0991263573501461)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.52805352275522, 1.5624999999999998, 0.11820609266752133)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.727029599745725, 1.7469281074217102, 0.13105385428784047)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (1.9306720900024386, 1.9531249999999996, 0.14418609563081305)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.1641393847054924, 2.1836601342771376, 0.17840579134560733)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.386378528794652, 2.4414062499999996, 0.17739263606977415)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (2.6540633578173813, 2.729575167846422, 0.19590245218262778)
┌ Info: std
│   [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] =
│    1-element Vector{Tuple{Float64, Float64, Float64}}:
└     (3.015872621959255, 3.051757812499999, 0.28722196392231847)
Test Summary:    | Pass  Total     Time
MCMCTempering.jl | 1521   1521  5m21.0s
     Testing MCMCTempering tests passed 

Testing completed after 407.98s

PkgEval succeeded after 1478.09s