Package evaluation to test MCMCTempering on Julia 1.10.10 (c8be17dcfd*) started at 2026-02-02T23:11:31.076 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.10` Set-up completed after 5.22s ################################################################################ # Installation # Installing MCMCTempering... Resolving package versions... Updating `~/.julia/environments/v1.10/Project.toml` [ce233488] + MCMCTempering v0.3.2 Updating `~/.julia/environments/v1.10/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 ⌅ [80f14c24] + AbstractMCMC v4.4.2 [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.8 ⌅ [198e06fe] + BangBang v0.3.40 [9718e550] + Baselet v0.1.1 [d360d2e6] + ChainRulesCore v1.26.0 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.6.0 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [31c24e10] + Distributions v0.25.123 [ffbed154] + DocStringExtensions v0.9.5 [b86e33f2] + FFTA v0.3.1 [1a297f60] + FillArrays v1.16.0 [34004b35] + HypergeometricFunctions v0.3.28 [22cec73e] + InitialValues v0.3.1 [18e54dd8] + IntegerMathUtils v0.1.3 [a98d9a8b] + Interpolations v0.16.2 [8197267c] + IntervalSets v0.7.13 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [5ab0869b] + KernelDensity v0.6.11 [b964fa9f] + LaTeXStrings v1.4.0 [1d6d02ad] + LeftChildRightSiblingTrees v0.2.1 [6fdf6af0] + LogDensityProblems v2.2.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 ⌅ [c7f686f2] + MCMCChains v6.0.7 [be115224] + MCMCDiagnosticTools v0.3.16 [ce233488] + MCMCTempering v0.3.2 [e80e1ace] + MLJModelInterface v1.12.1 [1914dd2f] + MacroTools v0.5.16 ⌅ [128add7d] + MicroCollections v0.1.4 [e1d29d7a] + Missings v1.2.0 [46d2c3a1] + MuladdMacro v0.2.4 [c020b1a1] + NaturalSort v1.0.0 [6fe1bfb0] + OffsetArrays v1.17.0 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.37 ⌅ [aea7be01] + PrecompileTools v1.2.1 [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 [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 [2a0f44e3] + Base64 [ade2ca70] + Dates [8ba89e20] + Distributed [9fa8497b] + Future [b77e0a4c] + InteractiveUtils [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [56ddb016] + Logging [d6f4376e] + Markdown [a63ad114] + Mmap [de0858da] + Printf [3fa0cd96] + REPL [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [1a1011a3] + SharedArrays [6462fe0b] + Sockets [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [8dfed614] + Test [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [4536629a] + OpenBLAS_jll v0.3.23+5 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [8e850b90] + libblastrampoline_jll v5.11.0+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 9.95s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/h9a3r/src/julia-1.9/activate_set.jl:63 Precompiling package dependencies... Precompiling packages... 10085.5 ms ✓ SciMLBase 82544.2 ms ✓ BangBang → BangBangDataFramesExt 6158.1 ms ✓ Transducers 20488.2 ms ✓ NNlib 4239.1 ms ✓ Interpolations → InterpolationsForwardDiffExt 11798.3 ms ✓ KernelDensity 16208.0 ms ✓ DistributionsAD 3405.2 ms ✓ Distributions → DistributionsDensityInterfaceExt 4663.1 ms ✓ Transducers → TransducersDataFramesExt 11449.8 ms ✓ AbstractMCMC 2459.3 ms ✓ NNlib → NNlibSpecialFunctionsExt 8058.8 ms ✓ DistributionsAD → DistributionsADForwardDiffExt 52764.2 ms ✓ MCMCChains 2962.8 ms ✓ EllipticalSliceSampling 5168.0 ms ✓ AdvancedHMC 4191.6 ms ✓ AdvancedMH 3859.3 ms ✓ AbstractPPL 3389.8 ms ✓ AdvancedPS 26824.3 ms ✓ NNlib → NNlibForwardDiffExt 10128.5 ms ✓ MCMCTempering 4661.7 ms ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt 4717.0 ms ✓ AdvancedMH → AdvancedMHMCMCChainsExt 6952.5 ms ✓ AdvancedMH → AdvancedMHStructArraysExt 2906.7 ms ✓ AdvancedMH → AdvancedMHForwardDiffExt 36942.7 ms ✓ DynamicPPL 11152.7 ms ✓ Tracker 2692.7 ms ✓ Tracker → TrackerPDMatsExt 2696.4 ms ✓ ArrayInterface → ArrayInterfaceTrackerExt 4406.1 ms ✓ LogDensityProblemsAD → LogDensityProblemsADTrackerExt 66877.3 ms ✓ DistributionsAD → DistributionsADTrackerExt 40683.3 ms ✓ RecursiveArrayTools → RecursiveArrayToolsTrackerExt 52258.1 ms ✓ AdvancedVI 38820.8 ms ✓ Turing 33 dependencies successfully precompiled in 571 seconds. 194 already precompiled. Precompilation completed after 578.27s ################################################################################ # Testing # Testing MCMCTempering ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1829 Status `/tmp/jl_inqQy7/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 ⌅ [fce5fe82] Turing v0.24.4 [37e2e46d] LinearAlgebra [9a3f8284] Random [10745b16] Statistics v1.10.0 [8dfed614] Test Status `/tmp/jl_inqQy7/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 ⌅ [80f14c24] AbstractMCMC v4.4.2 ⌅ [7a57a42e] AbstractPPL v0.5.4 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.43 ⌅ [79e6a3ab] Adapt v3.7.2 ⌅ [0bf59076] AdvancedHMC v0.4.6 ⌅ [5b7e9947] AdvancedMH v0.7.5 ⌅ [576499cb] AdvancedPS v0.4.3 ⌅ [b5ca4192] AdvancedVI v0.1.6 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 ⌃ [4fba245c] ArrayInterface v7.7.1 [a9b6321e] Atomix v1.1.2 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.8 ⌅ [198e06fe] BangBang v0.3.40 [9718e550] Baselet v0.1.1 ⌅ [76274a88] Bijectors v0.10.8 [082447d4] ChainRules v1.72.6 [d360d2e6] ChainRulesCore v1.26.0 [9e997f8a] ChangesOfVariables v0.1.10 [861a8166] Combinatorics v1.1.0 [38540f10] CommonSolve v0.2.6 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [88cd18e8] ConsoleProgressMonitor v0.1.2 [187b0558] ConstructionBase v1.6.0 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.1 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [b429d917] DensityInterface v0.4.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [31c24e10] Distributions v0.25.123 [ced4e74d] DistributionsAD v0.6.58 [ffbed154] DocStringExtensions v0.9.5 ⌅ [366bfd00] DynamicPPL v0.21.6 ⌅ [cad2338a] EllipticalSliceSampling v1.1.0 [4e289a0a] EnumX v1.0.6 [e2ba6199] ExprTools v0.1.10 [b86e33f2] FFTA v0.3.1 [1a297f60] FillArrays v1.16.0 ⌅ [f6369f11] ForwardDiff v0.10.39 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 ⌅ [d9f16b24] Functors v0.3.0 ⌅ [46192b85] GPUArraysCore v0.1.5 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.5 [505f98c9] InplaceOps v0.3.0 [18e54dd8] IntegerMathUtils v0.1.3 [a98d9a8b] Interpolations v0.16.2 [8197267c] IntervalSets v0.7.13 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [63c18a36] KernelAbstractions v0.9.39 [5ab0869b] KernelDensity v0.6.11 [8ac3fa9e] LRUCache v1.6.2 [b964fa9f] LaTeXStrings v1.4.0 [50d2b5c4] Lazy v0.15.1 [1d6d02ad] LeftChildRightSiblingTrees v0.2.1 ⌅ [6f1fad26] Libtask v0.8.8 [6fdf6af0] LogDensityProblems v2.2.0 [996a588d] LogDensityProblemsAD v1.13.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 ⌅ [c7f686f2] MCMCChains v6.0.7 ⌃ [be115224] MCMCDiagnosticTools v0.3.15 [ce233488] MCMCTempering v0.3.2 [e80e1ace] MLJModelInterface v1.12.1 [1914dd2f] MacroTools v0.5.16 [dbb5928d] MappedArrays v0.4.3 ⌅ [128add7d] MicroCollections v0.1.4 [e1d29d7a] Missings v1.2.0 [46d2c3a1] MuladdMacro v0.2.4 ⌃ [872c559c] NNlib v0.9.31 [77ba4419] NaNMath v1.1.3 ⌅ [86f7a689] NamedArrays v0.9.8 [c020b1a1] NaturalSort v1.0.0 [6fe1bfb0] OffsetArrays v1.17.0 ⌃ [3bd65402] Optimisers v0.2.15 [bac558e1] OrderedCollections v1.8.1 ⌃ [90014a1f] PDMats v0.11.35 [2dfb63ee] PooledArrays v1.4.3 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.5.1 ⌅ [08abe8d2] PrettyTables v2.4.0 [27ebfcd6] Primes v0.5.7 [33c8b6b6] ProgressLogging v0.1.6 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [74087812] Random123 v1.7.1 [e6cf234a] RandomNumbers v1.6.0 [b3c3ace0] RangeArrays v0.3.2 [c84ed2f1] Ratios v0.4.5 [c1ae055f] RealDot v0.1.0 [3cdcf5f2] RecipesBase v1.3.4 ⌅ [731186ca] RecursiveArrayTools v2.38.10 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 [f2b01f46] Roots v2.2.10 [7e49a35a] RuntimeGeneratedFunctions v0.5.17 ⌅ [0bca4576] SciMLBase v1.92.0 ⌅ [c0aeaf25] SciMLOperators v0.2.12 [30f210dd] ScientificTypesBase v3.0.0 [7e506255] ScopedValues v1.5.0 [91c51154] SentinelArrays v1.4.9 [efcf1570] Setfield v1.1.2 [ce78b400] SimpleUnPack v1.1.0 [a2af1166] SortingAlgorithms v1.2.2 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.6.1 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.16 [1e83bf80] StaticArraysCore v1.4.4 [64bff920] StatisticalTraits v3.5.0 [82ae8749] StatsAPI v1.8.0 ⌅ [2913bbd2] StatsBase v0.33.21 [4c63d2b9] StatsFuns v1.5.2 [892a3eda] StringManipulation v0.4.2 ⌃ [09ab397b] StructArrays v0.6.18 ⌅ [2efcf032] SymbolicIndexingInterface v0.2.2 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [5d786b92] TerminalLoggers v0.1.7 [9f7883ad] Tracker v0.2.38 ⌃ [28d57a85] Transducers v0.4.80 [410a4b4d] Tricks v0.1.13 [781d530d] TruncatedStacktraces v1.4.0 ⌅ [fce5fe82] Turing v0.24.4 [013be700] UnsafeAtomics v0.3.0 [efce3f68] WoodburyMatrices v1.1.0 [700de1a5] ZygoteRules v0.2.7 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [56f22d72] Artifacts [2a0f44e3] Base64 [ade2ca70] Dates [8ba89e20] Distributed [9fa8497b] Future [b77e0a4c] InteractiveUtils [8f399da3] Libdl [37e2e46d] LinearAlgebra [56ddb016] Logging [d6f4376e] Markdown [a63ad114] Mmap [de0858da] Printf [3fa0cd96] REPL [9a3f8284] Random [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization [1a1011a3] SharedArrays [6462fe0b] Sockets [2f01184e] SparseArrays v1.10.0 [10745b16] Statistics v1.10.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [8dfed614] Test [cf7118a7] UUIDs [4ec0a83e] Unicode [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [4536629a] OpenBLAS_jll v0.3.23+5 [05823500] OpenLibm_jll v0.8.5+0 [bea87d4a] SuiteSparse_jll v7.2.1+1 [8e850b90] libblastrampoline_jll v5.11.0+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 => 645.281 │ :param_1 => 563.887 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 403.853 └ :param_1 => 357.471 NonReversibleSwap(): Test Failed at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/runtests.jl:170 Expression: all((isapprox(mean[sym], mean_tempered[sym]; atol, rtol) for sym = keys(mean))) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:673 [inlined] [2] compare_chains(chain::Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}, internals::Vector{Symbol}}, @NamedTuple{}}, chain_tempered::Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Vector{Symbol}}, AxisArrays.Axis{:chain, UnitRange{Int64}}}}, Missing, @NamedTuple{parameters::Vector{Symbol}, internals::Vector{Symbol}}, @NamedTuple{}}; atol::Float64, rtol::Float64, compare_ess::Bool, compare_ess_slack::Float64, isbroken::Bool) @ Main ~/.julia/packages/MCMCTempering/movdr/test/runtests.jl:170 [3] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/runtests.jl:331 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1674 [inlined] [5] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/runtests.jl:319 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1582 [inlined] [7] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/runtests.jl:290 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1582 [inlined] [9] top-level scope @ ~/.julia/packages/MCMCTempering/movdr/test/runtests.jl:187 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 645.281 │ :param_1 => 563.887 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 649.754 └ :param_1 => 626.681 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 645.281 │ :param_1 => 563.887 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 378.923 └ :param_1 => 354.842 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 645.281 │ :param_1 => 563.887 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 416.266 └ :param_1 => 332.295 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 645.281 │ :param_1 => 563.887 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 611.878 └ :param_1 => 505.217 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1079.31 │ :s => 1914.83 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1278.22 └ :s => 1741.72 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1079.31 │ :s => 1914.83 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 2640.0 └ :s => 2997.06 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 281.952 │ :s => 448.979 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 269.53 └ :s => 359.115 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 281.952 │ :s => 448.979 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 731.9 └ :s => 1319.7 ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (0.9600600494494341, 1.0, 0.07510129394911048) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1270167037931758, 1.118033988749895, 0.09082301826570299) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.2590301898820377, 1.25, 0.10317548271639171) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.4740547349858917, 1.3975424859373684, 0.11612552812192554) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.607984355648507, 1.5624999999999998, 0.11688851165848771) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.7735227719529871, 1.7469281074217105, 0.14762036243049648) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.0140367070373504, 1.9531249999999996, 0.16411025397462398) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.1463012862140864, 2.183660134277138, 0.17883221805584318) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.610705846915515, 2.4414062499999996, 0.21178686279040496) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.854905976114611, 2.729575167846422, 0.2656097824659726) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (3.312831510247668, 3.051757812499999, 0.3018651235201338) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.0132338711912516, 1.0, 0.08214889432410104) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1414350211758848, 1.118033988749895, 0.09848915547201575) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.2743206567152936, 1.25, 0.11755771014190367) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.4453254398814384, 1.3975424859373684, 0.14244422231312256) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5716513014448215, 1.5624999999999998, 0.12214428411375367) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.773506774491883, 1.7469281074217105, 0.14141731445409644) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.9979319453653424, 1.9531249999999996, 0.18362216543945656) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.0652637146312913, 2.183660134277138, 0.18252681856296735) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.411420238684121, 2.4414062499999996, 0.2258284402777973) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.8811035367078315, 2.729575167846422, 0.40596090697355425) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (3.024569688636778, 3.051757812499999, 0.3442489366034493) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.0339670837357398, 1.0, 0.07589313178956095) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1197801592093737, 1.118033988749895, 0.08719696337305102) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.207341345169273, 1.25, 0.0925571030554045) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.4356415347641633, 1.3975424859373684, 0.10325643446193676) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5413092230939265, 1.5624999999999998, 0.1141457293132406) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.7336533914030898, 1.7469281074217105, 0.13195324121032717) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.9611609072841538, 1.9531249999999996, 0.1464337443484422) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.1974851143271006, 2.183660134277138, 0.17964574989582646) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.4389377063425295, 2.4414062499999996, 0.1866887779424711) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.6820669847450858, 2.729575167846422, 0.20066896534757658) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (3.156039582283939, 3.051757812499999, 0.3072944968399697) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.0339670837357398, 1.0, 0.07589313178956095) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1197801592093737, 1.118033988749895, 0.08719696337305102) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.207341345169273, 1.25, 0.0925571030554045) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.4356415347641633, 1.3975424859373684, 0.10325643446193676) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5413092230939265, 1.5624999999999998, 0.1141457293132406) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.7336533914030898, 1.7469281074217105, 0.13195324121032717) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.9611609072841538, 1.9531249999999996, 0.1464337443484422) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.1974851143271006, 2.183660134277138, 0.17964574989582646) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.4389377063425295, 2.4414062499999996, 0.1866887779424711) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.6820669847450858, 2.729575167846422, 0.20066896534757658) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (3.156039582283939, 3.051757812499999, 0.3072944968399697) Test Summary: | Pass Fail Total Time MCMCTempering.jl | 1520 1 1521 4m27.2s Swapping | 34 34 1.7s Simple MvNormal with no expected swaps | 9 9 20.0s GMM 1D | 9 9 7.2s MvNormal 2D with different swap strategies | 52 1 53 46.8s ReversibleSwap() | 11 11 24.4s NonReversibleSwap() | 10 1 11 7.1s SingleSwap() | 11 11 4.0s SingleRandomSwap() | 10 10 4.7s RandomSwap() | 10 10 3.9s Turing.jl | 26 26 2m03.3s AbstractMCMC | 1262 1262 28.6s Simple tempered Gaussian (closed form) | 128 128 39.3s ERROR: LoadError: Some tests did not pass: 1520 passed, 1 failed, 0 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/runtests.jl:186 Testing failed after 355.48s ERROR: LoadError: Package MCMCTempering errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Types.jl:70 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:2034 [3] test @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1915 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::Base.PipeEndpoint}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:444 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::Base.PipeEndpoint, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:159 [6] test @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:147 [inlined] [7] #test#74 @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:146 [inlined] [8] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 969.65s: package has test failures