Package evaluation to test MCMCTempering on Julia 1.14.0-DEV.1699 (9484a92029*) started at 2026-02-10T23:47:32.775 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 10.53s ################################################################################ # Installation # Installing MCMCTempering... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [ce233488] + MCMCTempering v0.3.2 Updating `~/.julia/environments/v1.14/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 ⌅ [80f14c24] + AbstractMCMC v4.4.2 [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.8 ⌅ [198e06fe] + BangBang v0.3.40 [9718e550] + Baselet v0.1.1 [d360d2e6] + ChainRulesCore v1.26.0 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.6.0 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [31c24e10] + Distributions v0.25.123 [ffbed154] + DocStringExtensions v0.9.5 [b86e33f2] + FFTA v0.3.1 [1a297f60] + FillArrays v1.16.0 [34004b35] + HypergeometricFunctions v0.3.28 [22cec73e] + InitialValues v0.3.1 [18e54dd8] + IntegerMathUtils v0.1.3 [a98d9a8b] + Interpolations v0.16.2 [8197267c] + IntervalSets v0.7.13 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [5ab0869b] + KernelDensity v0.6.11 [b964fa9f] + LaTeXStrings v1.4.0 [1d6d02ad] + LeftChildRightSiblingTrees v0.2.1 [6fdf6af0] + LogDensityProblems v2.2.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 ⌅ [c7f686f2] + MCMCChains v6.0.7 [be115224] + MCMCDiagnosticTools v0.3.16 [ce233488] + MCMCTempering v0.3.2 [e80e1ace] + MLJModelInterface v1.12.1 [1914dd2f] + MacroTools v0.5.16 ⌅ [128add7d] + MicroCollections v0.1.4 [e1d29d7a] + Missings v1.2.0 [46d2c3a1] + MuladdMacro v0.2.4 [c020b1a1] + NaturalSort v1.0.0 [6fe1bfb0] + OffsetArrays v1.17.0 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.37 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 ⌅ [08abe8d2] + PrettyTables v2.4.0 [27ebfcd6] + Primes v0.5.7 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [b3c3ace0] + RangeArrays v0.3.2 [c84ed2f1] + Ratios v0.4.5 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [30f210dd] + ScientificTypesBase v3.1.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.6.1 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.16 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.10 [4c63d2b9] + StatsFuns v1.5.2 [892a3eda] + StringManipulation v0.4.2 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [5d786b92] + TerminalLoggers v0.1.7 ⌃ [28d57a85] + Transducers v0.4.80 [efce3f68] + WoodburyMatrices v1.1.0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.30+0 [05823500] + OpenLibm_jll v0.8.7+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 5.34s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/h9a3r/src/julia-1.13/activate_set.jl:78 Precompiling package dependencies... Precompiling packages... WARNING: Imported binding Base._sortslices was undeclared at import time during import to NamedArrays. WARNING: Imported binding Base._negdims was undeclared at import time during import to NamedArrays. WARNING: Imported binding Base.DimSelector was undeclared at import time during import to NamedArrays. ERROR: LoadError: invalid method definition in NamedArrays: exported function Base._sortslices does not exist Stacktrace:  [1] top-level scope  @ ~/.julia/packages/NamedArrays/spYk1/src/rearrange.jl:106  [2] include(mapexpr::Function, mod::Module, _path::String)  @ Base ./Base.jl:310  [3] top-level scope  @ ~/.julia/packages/NamedArrays/spYk1/src/NamedArrays.jl:35  [4] include(mod::Module, _path::String)  @ Base ./Base.jl:309  [5] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3288  [6] top-level scope  @ stdin:5  [7] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [8] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3130  [9] include_string  @ ./loading.jl:3140 [inlined]  [10] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:342  [11] _start()  @ Base ./client.jl:585 in expression starting at /home/pkgeval/.julia/packages/NamedArrays/spYk1/src/rearrange.jl:106 in expression starting at /home/pkgeval/.julia/packages/NamedArrays/spYk1/src/NamedArrays.jl:9 in expression starting at stdin:5 ✗ NamedArrays 6878.8 ms ✓ Transducers 2207.8 ms ✓ Optimisers 11410.4 ms ✓ SciMLBase 6564.8 ms ✓ BangBang → BangBangDataFramesExt 13211.4 ms ✓ NNlib 2052.8 ms ✓ LogDensityProblemsAD → LogDensityProblemsADForwardDiffExt 3041.7 ms ✓ Interpolations → InterpolationsForwardDiffExt 4366.0 ms ✓ Distributions → DistributionsDensityInterfaceExt 4639.9 ms ✓ Distributions → DistributionsChainRulesCoreExt 6034.6 ms ✓ MCMCDiagnosticTools 6350.1 ms ✓ Transducers → TransducersDataFramesExt 4398.2 ms ✓ AbstractMCMC 2579.5 ms ✓ NNlib → NNlibSpecialFunctionsExt 2683.2 ms ✓ NNlib → NNlibForwardDiffExt 5249.3 ms ✓ KernelDensity 9342.9 ms ✓ Bijectors 9790.6 ms ✓ DistributionsAD 6302.3 ms ✓ AdvancedHMC 5301.3 ms ✓ AdvancedPS 5163.3 ms ✓ AdvancedMH 5064.3 ms ✓ EllipticalSliceSampling 4003.3 ms ✓ AbstractPPL 12335.1 ms ✓ Tracker 10777.1 ms ✓ MCMCChains 4984.4 ms ✓ DistributionsAD → DistributionsADForwardDiffExt 5126.4 ms ✓ AdvancedMH → AdvancedMHStructArraysExt 5238.0 ms ✓ AdvancedMH → AdvancedMHForwardDiffExt 21670.8 ms ✓ DynamicPPL 3842.4 ms ✓ Tracker → TrackerPDMatsExt 3674.1 ms ✓ LogDensityProblemsAD → LogDensityProblemsADTrackerExt 3832.1 ms ✓ ArrayInterface → ArrayInterfaceTrackerExt 4107.8 ms ✓ RecursiveArrayTools → RecursiveArrayToolsTrackerExt 8123.3 ms ✓ DistributionsAD → DistributionsADTrackerExt 14005.6 ms ✓ MCMCTempering 7980.5 ms ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt 8335.9 ms ✓ AdvancedMH → AdvancedMHMCMCChainsExt 6228.5 ms ✓ AdvancedVI 14940.1 ms ✓ Turing 38 dependencies successfully precompiled in 270 seconds. 203 already precompiled. Precompilation completed after 292.57s ################################################################################ # 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_PLKeku/Project.toml` ⌅ [0bf59076] + AdvancedHMC v0.4.6 ⌅ [5b7e9947] + AdvancedMH v0.7.5 ⌅ [76274a88] + Bijectors v0.10.8 [a93c6f00] + DataFrames v1.8.1 ⌅ [f6369f11] + ForwardDiff v0.10.39 [996a588d] + LogDensityProblemsAD v1.13.1 ⌃ [be115224] ↓ MCMCDiagnosticTools v0.3.16 ⇒ v0.3.15 [ce233488] + MCMCTempering v0.3.2 ⌅ [fce5fe82] + Turing v0.24.4 Updating `/tmp/jl_PLKeku/Manifest.toml` ⌅ [7a57a42e] + AbstractPPL v0.5.4 [7d9f7c33] + Accessors v0.1.43 ⌅ [79e6a3ab] ↓ Adapt v4.4.0 ⇒ v3.7.2 ⌅ [0bf59076] + AdvancedHMC v0.4.6 ⌅ [5b7e9947] + AdvancedMH v0.7.5 ⌅ [576499cb] + AdvancedPS v0.4.3 ⌅ [b5ca4192] + AdvancedVI v0.1.6 ⌃ [4fba245c] + ArrayInterface v7.7.1 [a9b6321e] + Atomix v1.1.2 ⌅ [76274a88] + Bijectors v0.10.8 [082447d4] + ChainRules v1.72.6 [9e997f8a] + ChangesOfVariables v0.1.10 [861a8166] + Combinatorics v1.1.0 [38540f10] + CommonSolve v0.2.6 [bbf7d656] + CommonSubexpressions v0.3.1 [2569d6c7] + ConcreteStructs v0.2.3 [a93c6f00] + DataFrames v1.8.1 ⌅ [864edb3b] ↓ DataStructures v0.19.3 ⇒ v0.18.22 [8bb1440f] + DelimitedFiles v1.9.1 [b429d917] + DensityInterface v0.4.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ced4e74d] + DistributionsAD v0.6.58 ⌅ [366bfd00] + DynamicPPL v0.21.6 ⌅ [cad2338a] + EllipticalSliceSampling v1.1.0 [4e289a0a] + EnumX v1.0.6 [e2ba6199] + ExprTools v0.1.10 ⌅ [f6369f11] + ForwardDiff v0.10.39 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 ⌅ [d9f16b24] + Functors v0.3.0 ⌅ [46192b85] + GPUArraysCore v0.1.5 [076d061b] + HashArrayMappedTries v0.2.0 [842dd82b] + InlineStrings v1.4.5 [505f98c9] + InplaceOps v0.3.0 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [63c18a36] + KernelAbstractions v0.9.39 [8ac3fa9e] + LRUCache v1.6.2 [50d2b5c4] + Lazy v0.15.1 ⌅ [6f1fad26] + Libtask v0.8.8 [996a588d] + LogDensityProblemsAD v1.13.1 ⌃ [be115224] ↓ MCMCDiagnosticTools v0.3.16 ⇒ v0.3.15 [ce233488] + MCMCTempering v0.3.2 [dbb5928d] + MappedArrays v0.4.3 ⌃ [872c559c] + NNlib v0.9.31 [77ba4419] + NaNMath v1.1.3 ⌅ [86f7a689] + NamedArrays v0.9.8 ⌃ [3bd65402] + Optimisers v0.2.15 ⌃ [90014a1f] ↓ PDMats v0.11.37 ⇒ v0.11.35 [2dfb63ee] + PooledArrays v1.4.3 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [c1ae055f] + RealDot v0.1.0 ⌅ [731186ca] + RecursiveArrayTools v2.38.10 [f2b01f46] + Roots v2.2.10 [7e49a35a] + RuntimeGeneratedFunctions v0.5.17 ⌅ [0bca4576] + SciMLBase v1.92.0 ⌅ [c0aeaf25] + SciMLOperators v0.2.12 [7e506255] + ScopedValues v1.5.0 [91c51154] + SentinelArrays v1.4.9 [ce78b400] + SimpleUnPack v1.1.0 [dc90abb0] + SparseInverseSubset v0.1.2 ⌅ [2913bbd2] ↓ StatsBase v0.34.10 ⇒ v0.33.21 ⌃ [09ab397b] + StructArrays v0.6.18 ⌅ [2efcf032] + SymbolicIndexingInterface v0.2.2 [9f7883ad] + Tracker v0.2.38 [410a4b4d] + Tricks v0.1.13 [781d530d] + TruncatedStacktraces v1.4.0 ⌅ [fce5fe82] + Turing v0.24.4 [013be700] + UnsafeAtomics v0.3.0 [700de1a5] + ZygoteRules v0.2.7 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Test Successfully re-resolved Status `/tmp/jl_PLKeku/Project.toml` ⌅ [80f14c24] AbstractMCMC v4.4.2 ⌅ [0bf59076] AdvancedHMC v0.4.6 ⌅ [5b7e9947] AdvancedMH v0.7.5 ⌅ [76274a88] Bijectors v0.10.8 [a93c6f00] DataFrames v1.8.1 [31c24e10] Distributions v0.25.123 [1a297f60] FillArrays v1.16.0 ⌅ [f6369f11] ForwardDiff v0.10.39 [6fdf6af0] LogDensityProblems v2.2.0 [996a588d] LogDensityProblemsAD v1.13.1 ⌅ [c7f686f2] MCMCChains v6.0.7 ⌃ [be115224] MCMCDiagnosticTools v0.3.15 [ce233488] MCMCTempering v0.3.2 [efcf1570] Setfield v1.1.2 [10745b16] Statistics v1.11.1 ⌅ [fce5fe82] Turing v0.24.4 [37e2e46d] LinearAlgebra v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_PLKeku/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 ⌅ [80f14c24] AbstractMCMC v4.4.2 ⌅ [7a57a42e] AbstractPPL v0.5.4 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.43 ⌅ [79e6a3ab] Adapt v3.7.2 ⌅ [0bf59076] AdvancedHMC v0.4.6 ⌅ [5b7e9947] AdvancedMH v0.7.5 ⌅ [576499cb] AdvancedPS v0.4.3 ⌅ [b5ca4192] AdvancedVI v0.1.6 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 ⌃ [4fba245c] ArrayInterface v7.7.1 [a9b6321e] Atomix v1.1.2 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.8 ⌅ [198e06fe] BangBang v0.3.40 [9718e550] Baselet v0.1.1 ⌅ [76274a88] Bijectors v0.10.8 [082447d4] ChainRules v1.72.6 [d360d2e6] ChainRulesCore v1.26.0 [9e997f8a] ChangesOfVariables v0.1.10 [861a8166] Combinatorics v1.1.0 [38540f10] CommonSolve v0.2.6 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [88cd18e8] ConsoleProgressMonitor v0.1.2 [187b0558] ConstructionBase v1.6.0 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.1 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [b429d917] DensityInterface v0.4.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [31c24e10] Distributions v0.25.123 [ced4e74d] DistributionsAD v0.6.58 [ffbed154] DocStringExtensions v0.9.5 ⌅ [366bfd00] DynamicPPL v0.21.6 ⌅ [cad2338a] EllipticalSliceSampling v1.1.0 [4e289a0a] EnumX v1.0.6 [e2ba6199] ExprTools v0.1.10 [b86e33f2] FFTA v0.3.1 [1a297f60] FillArrays v1.16.0 ⌅ [f6369f11] ForwardDiff v0.10.39 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 ⌅ [d9f16b24] Functors v0.3.0 ⌅ [46192b85] GPUArraysCore v0.1.5 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.5 [505f98c9] InplaceOps v0.3.0 [18e54dd8] IntegerMathUtils v0.1.3 [a98d9a8b] Interpolations v0.16.2 [8197267c] IntervalSets v0.7.13 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [63c18a36] KernelAbstractions v0.9.39 [5ab0869b] KernelDensity v0.6.11 [8ac3fa9e] LRUCache v1.6.2 [b964fa9f] LaTeXStrings v1.4.0 [50d2b5c4] Lazy v0.15.1 [1d6d02ad] LeftChildRightSiblingTrees v0.2.1 ⌅ [6f1fad26] Libtask v0.8.8 [6fdf6af0] LogDensityProblems v2.2.0 [996a588d] LogDensityProblemsAD v1.13.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 ⌅ [c7f686f2] MCMCChains v6.0.7 ⌃ [be115224] MCMCDiagnosticTools v0.3.15 [ce233488] MCMCTempering v0.3.2 [e80e1ace] MLJModelInterface v1.12.1 [1914dd2f] MacroTools v0.5.16 [dbb5928d] MappedArrays v0.4.3 ⌅ [128add7d] MicroCollections v0.1.4 [e1d29d7a] Missings v1.2.0 [46d2c3a1] MuladdMacro v0.2.4 ⌃ [872c559c] NNlib v0.9.31 [77ba4419] NaNMath v1.1.3 ⌅ [86f7a689] NamedArrays v0.9.8 [c020b1a1] NaturalSort v1.0.0 [6fe1bfb0] OffsetArrays v1.17.0 ⌃ [3bd65402] Optimisers v0.2.15 [bac558e1] OrderedCollections v1.8.1 ⌃ [90014a1f] PDMats v0.11.35 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.1 ⌅ [08abe8d2] PrettyTables v2.4.0 [27ebfcd6] Primes v0.5.7 [33c8b6b6] ProgressLogging v0.1.6 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [74087812] Random123 v1.7.1 [e6cf234a] RandomNumbers v1.6.0 [b3c3ace0] RangeArrays v0.3.2 [c84ed2f1] Ratios v0.4.5 [c1ae055f] RealDot v0.1.0 [3cdcf5f2] RecipesBase v1.3.4 ⌅ [731186ca] RecursiveArrayTools v2.38.10 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 [f2b01f46] Roots v2.2.10 [7e49a35a] RuntimeGeneratedFunctions v0.5.17 ⌅ [0bca4576] SciMLBase v1.92.0 ⌅ [c0aeaf25] SciMLOperators v0.2.12 [30f210dd] ScientificTypesBase v3.1.0 [7e506255] ScopedValues v1.5.0 [91c51154] SentinelArrays v1.4.9 [efcf1570] Setfield v1.1.2 [ce78b400] SimpleUnPack v1.1.0 [a2af1166] SortingAlgorithms v1.2.2 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.6.1 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.16 [1e83bf80] StaticArraysCore v1.4.4 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 ⌅ [2913bbd2] StatsBase v0.33.21 [4c63d2b9] StatsFuns v1.5.2 [892a3eda] StringManipulation v0.4.2 ⌃ [09ab397b] StructArrays v0.6.18 ⌅ [2efcf032] SymbolicIndexingInterface v0.2.2 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [5d786b92] TerminalLoggers v0.1.7 [9f7883ad] Tracker v0.2.38 ⌃ [28d57a85] Transducers v0.4.80 [410a4b4d] Tricks v0.1.13 [781d530d] TruncatedStacktraces v1.4.0 ⌅ [fce5fe82] Turing v0.24.4 [013be700] UnsafeAtomics v0.3.0 [efce3f68] WoodburyMatrices v1.1.0 [700de1a5] ZygoteRules v0.2.7 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [4536629a] OpenBLAS_jll v0.3.30+0 [05823500] OpenLibm_jll v0.8.7+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [8e850b90] libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. 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 => 538.593 │ :param_1 => 622.393 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 604.525 └ :param_1 => 323.141 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 538.593 │ :param_1 => 622.393 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 826.634 └ :param_1 => 1004.79 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 538.593 │ :param_1 => 622.393 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 601.314 └ :param_1 => 441.977 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 538.593 │ :param_1 => 622.393 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 381.767 └ :param_1 => 330.092 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 538.593 │ :param_1 => 622.393 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 653.475 └ :param_1 => 476.617 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1002.74 │ :s => 1137.5 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1031.68 └ :s => 1684.34 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1002.74 │ :s => 1137.5 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 2825.93 └ :s => 2854.94 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 243.953 │ :s => 454.019 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 247.04 └ :s => 335.655 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 243.953 │ :s => 454.019 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1056.1 └ :s => 1021.92 SwapSampler: Test Failed at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:225 Expression: ≈(vec(mean(params_resolved; dims = 2)), [5.0, 5.0], atol = 0.2) Evaluated: [5.137153442036303, 5.1742547268191945] ≈ [5.0, 5.0] (atol=0.2) Stacktrace: [1] top-level scope @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:2 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [3] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:171 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [5] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:225 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:782 [inlined] ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.007328077331588, 1.0, 0.07283716778412391) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.196677813827978, 1.118033988749895, 0.09431737818862856) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.3073936959426036, 1.25, 0.11299427500505221) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.3555215289264972, 1.3975424859373684, 0.10839653759384472) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5568248391449238, 1.5624999999999998, 0.11597760949799335) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.7367898169105933, 1.7469281074217102, 0.129804688809681) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.9261997228075436, 1.9531249999999996, 0.14888167530516347) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.267240056290427, 2.1836601342771376, 0.2173134927982391) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.48766857379624, 2.4414062499999996, 0.20976458621096467) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.9916003056139497, 2.729575167846422, 0.2704614613126338) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (3.1613320924841815, 3.051757812499999, 0.3764182219819477) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.0051415627679077, 1.0, 0.07071056260859886) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.149705685969232, 1.118033988749895, 0.09626728885393725) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.3102326601835577, 1.25, 0.10143818264275031) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.3735358218541271, 1.3975424859373684, 0.12182773906762458) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5175377417164286, 1.5624999999999998, 0.14687580100168554) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.6118672358591115, 1.7469281074217102, 0.1267656584525811) chain 6: Test Failed at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:71 Expression: all((isapprox(std(chain[sym]), std_true[sym], atol = atol[sym]) for sym = names(chain, :parameters))) Evaluated: all(Base.Generator{Vector{Symbol}, var"#24#25"{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{}}, Dict{Symbol, Float64}, Dict{Symbol, Float64}}}(var"#24#25"{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{}}, Dict{Symbol, Float64}, Dict{Symbol, Float64}}(MCMC chain (1000×2×1 Array{Float64, 3}), Dict(:param_1 => 1.7469281074217102), Dict(:param_1 => 0.1267656584525811)), [:param_1])) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:782 [inlined] [2] test_std(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{}}, std_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:71 [3] test_std @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:67 [inlined] [4] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:123 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2325 [inlined] [6] test_chains_with_monotonic_variance(chains::Vector{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{}}}, mean_true::Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}, std_true::Vector{Dict{Symbol, Float64}}; significance::Float64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.8991694570090083, 1.9531249999999996, 0.17214955527337364) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.18397956022156, 2.1836601342771376, 0.2534171545911538) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.443947394342149, 2.4414062499999996, 0.24070926395106504) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.571619173361953, 2.729575167846422, 0.313135880681456) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.932800195434616, 3.051757812499999, 0.3317890976430609) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.029111780519627, 1.0, 0.07105271841344318) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1189149427849394, 1.118033988749895, 0.0764678043187163) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.2428139605910316, 1.25, 0.0967543189492406) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.3733141441864076, 1.3975424859373684, 0.09259128065689053) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5935289402669999, 1.5624999999999998, 0.11678801991703504) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.7360856304863346, 1.7469281074217102, 0.13219495021053781) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.9224245081142621, 1.9531249999999996, 0.1526926230388764) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.215926517544217, 2.1836601342771376, 0.176127670949335) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.491619829347441, 2.4414062499999996, 0.22013661259332237) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.874278239717655, 2.729575167846422, 0.20654549465274144) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (3.20286100777142, 3.051757812499999, 0.32002847557030345) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.029111780519627, 1.0, 0.07105271841344318) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1189149427849394, 1.118033988749895, 0.0764678043187163) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.2428139605910316, 1.25, 0.0967543189492406) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.3733141441864076, 1.3975424859373684, 0.09259128065689053) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5935289402669999, 1.5624999999999998, 0.11678801991703504) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.7360856304863346, 1.7469281074217102, 0.13219495021053781) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.9224245081142621, 1.9531249999999996, 0.1526926230388764) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.215926517544217, 2.1836601342771376, 0.176127670949335) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.491619829347441, 2.4414062499999996, 0.22013661259332237) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.874278239717655, 2.729575167846422, 0.20654549465274144) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (3.20286100777142, 3.051757812499999, 0.32002847557030345) Test Summary: | Pass Fail Total Time MCMCTempering.jl | 1519 2 1521 4m55.4s Swapping | 34 34 1.5s Simple MvNormal with no expected swaps | 9 9 26.8s GMM 1D | 9 9 8.2s MvNormal 2D with different swap strategies | 53 53 51.9s Turing.jl | 26 26 2m05.8s AbstractMCMC | 1261 1 1262 40.8s CompositionSampler(.., saveall=true) | 205 205 5.6s CompositionSampler(.., saveall=false) | 105 105 0.1s CompositionSampler(.., saveall=Val{true}()) | 205 205 1.5s CompositionSampler(.., saveall=Val{false}()) | 105 105 2.3s RepeatedSampler(..., saveall=true) | 204 204 2.1s RepeatedSampler(..., saveall=false) | 104 104 0.1s RepeatedSampler(..., saveall=Val{true}()) | 204 204 1.6s RepeatedSampler(..., saveall=Val{false}()) | 104 104 1.5s MultiSampler | 15 15 7.0s SwapSampler | 9 1 10 18.7s bundle_samples with Vector | 2 2 1.2s bundle_samples with Vector{MCMCChains.Chains} | 3 3 2.3s Simple tempered Gaussian (closed form) | 127 1 128 40.0s TemperedSampler | 32 32 24.4s MultiSampler without swapping | 31 1 32 6.0s chain 1 | 2 2 0.0s chain 2 | 2 2 0.0s chain 3 | 2 2 0.0s chain 4 | 2 2 0.0s chain 5 | 2 2 0.0s chain 6 | 1 1 2 0.2s chain 7 | 2 2 0.0s chain 8 | 2 2 0.0s chain 9 | 2 2 0.0s chain 10 | 2 2 0.0s chain 11 | 2 2 0.0s MultiSampler with swapping (saveall=true) | 32 32 5.2s MultiSampler with swapping (saveall=true) | 32 32 3.7s RNG of the outermost testset: Random.Xoshiro(0xdfe87fb03343d18b, 0xce20e2dae95277d1, 0x7c9bb8e82fb0557e, 0xe3acb2691f781921, 0xf30ea5a9b9f5945b) ERROR: LoadError: Some tests did not pass: 1519 passed, 2 failed, 0 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/runtests.jl:186 Testing failed after 338.92s ERROR: LoadError: Package MCMCTempering errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{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/v1.14/Pkg/src/Operations.jl:3122 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:2987 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{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::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:572 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:548 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [12] include(mod::Module, _path::String) @ Base ./Base.jl:309 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [14] _start() @ Base ./client.jl:585 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 667.77s: package has test failures