Package evaluation of MCMCTempering on Julia 1.13.0-DEV.791 (d5209bd37d*) started at 2025-07-04T16:57:21.461 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.48s ################################################################################ # 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 v4.3.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.7 ⌅ [198e06fe] + BangBang v0.3.40 [9718e550] + Baselet v0.1.1 [d360d2e6] + ChainRulesCore v1.25.2 [34da2185] + Compat v4.17.0 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.6.0 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [31c24e10] + Distributions v0.25.120 [ffbed154] + DocStringExtensions v0.9.5 [7a1cc6ca] + FFTW v1.9.0 [1a297f60] + FillArrays v1.13.0 [34004b35] + HypergeometricFunctions v0.3.28 [22cec73e] + InitialValues v0.3.1 ⌅ [a98d9a8b] + Interpolations v0.15.1 [8197267c] + IntervalSets v0.7.11 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [5ab0869b] + KernelDensity v0.6.9 [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 v1.11.1 [1914dd2f] + MacroTools v0.5.16 ⌅ [128add7d] + MicroCollections v0.1.4 [e1d29d7a] + Missings v1.2.0 [c020b1a1] + NaturalSort v1.0.0 [6fe1bfb0] + OffsetArrays v1.17.0 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [33c8b6b6] + ProgressLogging v0.1.5 [92933f4c] + ProgressMeter v1.10.4 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [b3c3ace0] + RangeArrays v0.3.2 [c84ed2f1] + Ratios v0.4.5 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [30f210dd] + ScientificTypesBase v3.0.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.1 [276daf66] + SpecialFunctions v2.5.1 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.4.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 [4c63d2b9] + StatsFuns v1.5.0 [892a3eda] + StringManipulation v0.4.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [5d786b92] + TerminalLoggers v0.1.7 ⌃ [28d57a85] + Transducers v0.4.80 [efce3f68] + WoodburyMatrices v1.0.0 [f5851436] + FFTW_jll v3.3.11+0 [1d5cc7b8] + IntelOpenMP_jll v2025.0.4+0 [856f044c] + MKL_jll v2025.0.1+1 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [1317d2d5] + oneTBB_jll v2022.0.0+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [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 v1.13.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.14.1+1 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.0+0 [efcefdf7] + PCRE2_jll v10.45.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.65.0+0 [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 4.25s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/iS95e/src/julia-1.11/activate_set.jl:75 Precompiling package dependencies... Precompilation completed after 923.59s ################################################################################ # Testing # Testing MCMCTempering Test Could not use exact versions of packages in manifest. Re-resolving dependencies Updating `/tmp/jl_AOIZvl/Project.toml` ⌅ [0bf59076] + AdvancedHMC v0.4.6 ⌅ [5b7e9947] + AdvancedMH v0.7.5 ⌅ [76274a88] + Bijectors v0.10.8 [a93c6f00] + DataFrames v1.7.0 ⌅ [f6369f11] + ForwardDiff v0.10.38 [996a588d] + LogDensityProblemsAD v1.13.1 [ce233488] + MCMCTempering v0.3.2 ⌅ [fce5fe82] + Turing v0.24.4 Updating `/tmp/jl_AOIZvl/Manifest.toml` ⌅ [7a57a42e] + AbstractPPL v0.5.4 [7d9f7c33] + Accessors v0.1.42 ⌅ [79e6a3ab] ↓ Adapt v4.3.0 ⇒ v3.7.2 ⌅ [0bf59076] + AdvancedHMC v0.4.6 ⌅ [5b7e9947] + AdvancedMH v0.7.5 ⌅ [576499cb] + AdvancedPS v0.4.3 ⌅ [b5ca4192] + AdvancedVI v0.1.6 ⌃ [4fba245c] + ArrayInterface v7.7.1 [a9b6321e] + Atomix v1.1.1 ⌅ [76274a88] + Bijectors v0.10.8 [082447d4] + ChainRules v1.72.5 [9e997f8a] + ChangesOfVariables v0.1.10 [861a8166] + Combinatorics v1.0.3 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [2569d6c7] + ConcreteStructs v0.2.3 [a93c6f00] + DataFrames v1.7.0 [8bb1440f] + DelimitedFiles v1.9.1 [b429d917] + DensityInterface v0.4.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ced4e74d] + DistributionsAD v0.6.58 ⌅ [366bfd00] + DynamicPPL v0.21.6 ⌅ [cad2338a] + EllipticalSliceSampling v1.1.0 [4e289a0a] + EnumX v1.0.5 [e2ba6199] + ExprTools v0.1.10 ⌅ [f6369f11] + ForwardDiff v0.10.38 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 ⌅ [d9f16b24] + Functors v0.3.0 ⌅ [46192b85] + GPUArraysCore v0.1.5 [076d061b] + HashArrayMappedTries v0.2.0 [842dd82b] + InlineStrings v1.4.4 [505f98c9] + InplaceOps v0.3.0 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [63c18a36] + KernelAbstractions v0.9.36 [8ac3fa9e] + LRUCache v1.6.2 [50d2b5c4] + Lazy v0.15.1 ⌅ [6f1fad26] + Libtask v0.8.8 [996a588d] + LogDensityProblemsAD v1.13.1 [ce233488] + MCMCTempering v0.3.2 [dbb5928d] + MappedArrays v0.4.2 [872c559c] + NNlib v0.9.30 [77ba4419] + NaNMath v1.1.3 ⌅ [86f7a689] + NamedArrays v0.9.8 ⌃ [3bd65402] + Optimisers v0.2.15 [2dfb63ee] + PooledArrays v1.4.3 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [c1ae055f] + RealDot v0.1.0 ⌅ [731186ca] + RecursiveArrayTools v2.38.10 [f2b01f46] + Roots v2.2.8 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 ⌅ [0bca4576] + SciMLBase v1.92.0 ⌅ [c0aeaf25] + SciMLOperators v0.2.12 [7e506255] + ScopedValues v1.3.0 [91c51154] + SentinelArrays v1.4.8 [ce78b400] + SimpleUnPack v1.1.0 [dc90abb0] + SparseInverseSubset v0.1.2 ⌅ [2913bbd2] ↓ StatsBase v0.34.5 ⇒ v0.33.21 ⌃ [09ab397b] + StructArrays v0.6.18 ⌅ [2efcf032] + SymbolicIndexingInterface v0.2.2 [9f7883ad] + Tracker v0.2.38 [410a4b4d] + Tricks v0.1.10 [781d530d] + TruncatedStacktraces v1.4.0 ⌅ [fce5fe82] + Turing v0.24.4 [013be700] + UnsafeAtomics v0.3.0 [700de1a5] + ZygoteRules v0.2.7 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Test Successfully re-resolved Status `/tmp/jl_AOIZvl/Project.toml` ⌅ [80f14c24] AbstractMCMC v4.4.2 ⌅ [0bf59076] AdvancedHMC v0.4.6 ⌅ [5b7e9947] AdvancedMH v0.7.5 ⌅ [76274a88] Bijectors v0.10.8 [a93c6f00] DataFrames v1.7.0 [31c24e10] Distributions v0.25.120 [1a297f60] FillArrays v1.13.0 ⌅ [f6369f11] ForwardDiff v0.10.38 [6fdf6af0] LogDensityProblems v2.1.2 [996a588d] LogDensityProblemsAD v1.13.1 ⌅ [c7f686f2] MCMCChains v6.0.7 [be115224] MCMCDiagnosticTools v0.3.14 [ce233488] MCMCTempering v0.3.2 [efcf1570] Setfield v1.1.2 [10745b16] Statistics v1.11.1 ⌅ [fce5fe82] Turing v0.24.4 [37e2e46d] LinearAlgebra v1.12.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_AOIZvl/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 ⌅ [80f14c24] AbstractMCMC v4.4.2 ⌅ [7a57a42e] AbstractPPL v0.5.4 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 ⌅ [79e6a3ab] Adapt v3.7.2 ⌅ [0bf59076] AdvancedHMC v0.4.6 ⌅ [5b7e9947] AdvancedMH v0.7.5 ⌅ [576499cb] AdvancedPS v0.4.3 ⌅ [b5ca4192] AdvancedVI v0.1.6 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 ⌃ [4fba245c] ArrayInterface v7.7.1 [a9b6321e] Atomix v1.1.1 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.7 ⌅ [198e06fe] BangBang v0.3.40 [9718e550] Baselet v0.1.1 ⌅ [76274a88] Bijectors v0.10.8 [082447d4] ChainRules v1.72.5 [d360d2e6] ChainRulesCore v1.25.2 [9e997f8a] ChangesOfVariables v0.1.10 [861a8166] Combinatorics v1.0.3 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.17.0 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [88cd18e8] ConsoleProgressMonitor v0.1.2 [187b0558] ConstructionBase v1.6.0 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.7.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [b429d917] DensityInterface v0.4.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [31c24e10] Distributions v0.25.120 [ced4e74d] DistributionsAD v0.6.58 [ffbed154] DocStringExtensions v0.9.5 ⌅ [366bfd00] DynamicPPL v0.21.6 ⌅ [cad2338a] EllipticalSliceSampling v1.1.0 [4e289a0a] EnumX v1.0.5 [e2ba6199] ExprTools v0.1.10 [7a1cc6ca] FFTW v1.9.0 [1a297f60] FillArrays v1.13.0 ⌅ [f6369f11] ForwardDiff v0.10.38 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 ⌅ [d9f16b24] Functors v0.3.0 ⌅ [46192b85] GPUArraysCore v0.1.5 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.4 [505f98c9] InplaceOps v0.3.0 ⌅ [a98d9a8b] Interpolations v0.15.1 [8197267c] IntervalSets v0.7.11 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [63c18a36] KernelAbstractions v0.9.36 [5ab0869b] KernelDensity v0.6.9 [8ac3fa9e] LRUCache v1.6.2 [b964fa9f] LaTeXStrings v1.4.0 [50d2b5c4] Lazy v0.15.1 [1d6d02ad] LeftChildRightSiblingTrees v0.2.0 ⌅ [6f1fad26] Libtask v0.8.8 [6fdf6af0] LogDensityProblems v2.1.2 [996a588d] LogDensityProblemsAD v1.13.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.1.0 ⌅ [c7f686f2] MCMCChains v6.0.7 [be115224] MCMCDiagnosticTools v0.3.14 [ce233488] MCMCTempering v0.3.2 [e80e1ace] MLJModelInterface v1.11.1 [1914dd2f] MacroTools v0.5.16 [dbb5928d] MappedArrays v0.4.2 ⌅ [128add7d] MicroCollections v0.1.4 [e1d29d7a] Missings v1.2.0 [872c559c] NNlib v0.9.30 [77ba4419] NaNMath v1.1.3 ⌅ [86f7a689] NamedArrays v0.9.8 [c020b1a1] NaturalSort v1.0.0 [6fe1bfb0] OffsetArrays v1.17.0 ⌃ [3bd65402] Optimisers v0.2.15 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.35 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [08abe8d2] PrettyTables v2.4.0 [33c8b6b6] ProgressLogging v0.1.5 [92933f4c] ProgressMeter v1.10.4 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [74087812] Random123 v1.7.1 [e6cf234a] RandomNumbers v1.6.0 [b3c3ace0] RangeArrays v0.3.2 [c84ed2f1] Ratios v0.4.5 [c1ae055f] RealDot v0.1.0 [3cdcf5f2] RecipesBase v1.3.4 ⌅ [731186ca] RecursiveArrayTools v2.38.10 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 [f2b01f46] Roots v2.2.8 [7e49a35a] RuntimeGeneratedFunctions v0.5.15 ⌅ [0bca4576] SciMLBase v1.92.0 ⌅ [c0aeaf25] SciMLOperators v0.2.12 [30f210dd] ScientificTypesBase v3.0.0 [7e506255] ScopedValues v1.3.0 [91c51154] SentinelArrays v1.4.8 [efcf1570] Setfield v1.1.2 [ce78b400] SimpleUnPack v1.1.0 [a2af1166] SortingAlgorithms v1.2.1 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.5.1 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [64bff920] StatisticalTraits v3.4.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 ⌅ [2913bbd2] StatsBase v0.33.21 [4c63d2b9] StatsFuns v1.5.0 [892a3eda] StringManipulation v0.4.1 ⌃ [09ab397b] StructArrays v0.6.18 ⌅ [2efcf032] SymbolicIndexingInterface v0.2.2 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [5d786b92] TerminalLoggers v0.1.7 [9f7883ad] Tracker v0.2.38 ⌃ [28d57a85] Transducers v0.4.80 [410a4b4d] Tricks v0.1.10 [781d530d] TruncatedStacktraces v1.4.0 ⌅ [fce5fe82] Turing v0.24.4 [013be700] UnsafeAtomics v0.3.0 [efce3f68] WoodburyMatrices v1.0.0 [700de1a5] ZygoteRules v0.2.7 [f5851436] FFTW_jll v3.3.11+0 [1d5cc7b8] IntelOpenMP_jll v2025.0.4+0 [856f044c] MKL_jll v2025.0.1+1 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [1317d2d5] oneTBB_jll v2022.0.0+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [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 v1.13.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.14.1+1 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.0+0 [efcefdf7] PCRE2_jll v10.45.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.65.0+0 [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. Testing Running tests... Precompiling packages... 17629.8 ms ✓ MCMCTempering 1 dependency successfully precompiled in 20 seconds. 157 already precompiled. WARNING: Method definition (::Type{Main.StateHistoryCallback{A, F} where F where A})(Any, Any) in module Main at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/utils.jl:17 overwritten at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/utils.jl:21. Precompiling packages... 85705.9 ms ✓ DataFrames 1 dependency successfully precompiled in 86 seconds. 34 already precompiled. Precompiling packages... 8877.2 ms ✓ BangBang → BangBangDataFramesExt 1 dependency successfully precompiled in 9 seconds. 43 already precompiled. Precompiling packages... 7926.4 ms ✓ Transducers → TransducersDataFramesExt 1 dependency successfully precompiled in 8 seconds. 56 already precompiled. The temperature was sorted to ensure decreasing order. ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 471.599 │ :param_1 => 366.024 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 468.604 └ :param_1 => 429.234 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 471.599 │ :param_1 => 366.024 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 742.81 └ :param_1 => 568.911 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 471.599 │ :param_1 => 366.024 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 408.114 └ :param_1 => 439.233 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 471.599 │ :param_1 => 366.024 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 498.777 └ :param_1 => 296.258 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 471.599 │ :param_1 => 366.024 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 519.444 └ :param_1 => 506.709 AdvancedHMC.jl: 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))) Evaluated: all(Base.Generator{Base.KeySet{Symbol, Dict{Symbol, Float64}}, var"#75#76"{Float64, Float64, Dict{Symbol, Float64}, Dict{Symbol, Float64}}}(var"#75#76"{Float64, Float64, Dict{Symbol, Float64}, Dict{Symbol, Float64}}(0.2, 1.0e-6, Dict(:m => 1.173459709980117, :s => 1.9612797242334032), Dict(:m => 1.1832579098898757, :s => 2.2128338669327525)), [:m, :s])) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:741 [inlined] [2] compare_chains(chain::Chains{Real, AxisArrays.AxisArray{Real, 3, Array{Real, 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{Real, AxisArrays.AxisArray{Real, 3, Array{Real, 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] top-level scope @ ~/.julia/packages/MCMCTempering/movdr/test/runtests.jl:187 [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1855 [inlined] [5] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/runtests.jl:337 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1855 [inlined] [7] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/runtests.jl:358 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1855 [inlined] [9] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/runtests.jl:385 [inlined] ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1114.69 │ :s => 1425.28 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1589.71 └ :s => 1876.46 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1114.69 │ :s => 1425.28 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 2524.17 └ :s => 2611.63 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 278.561 │ :s => 424.641 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 149.882 └ :s => 250.682 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 278.561 │ :s => 424.641 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 994.112 └ :s => 903.259 ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (0.9969291392962727, 1.0, 0.07083645355710495) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1167037621345688, 1.118033988749895, 0.09030253174680182) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.305847040611093, 1.25, 0.10900749521836457) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.3993200894808668, 1.3975424859373684, 0.12359997542893886) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.586233921097286, 1.5624999999999998, 0.14001292910288524) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.8025577836787736, 1.7469281074217102, 0.13949760674447326) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.954912310740399, 1.9531249999999996, 0.15257794625870805) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.1629661503247015, 2.1836601342771376, 0.17484842306988477) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.400181382671514, 2.4414062499999996, 0.22520635332137487) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.8465338374282196, 2.729575167846422, 0.22840514389217242) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (3.1148491496189843, 3.051757812499999, 0.30519831829522026) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.0038602252650626, 1.0, 0.07955237806829117) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1143183396987566, 1.118033988749895, 0.09020561851143252) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.237137017244957, 1.25, 0.09816576562555689) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.3728540478970293, 1.3975424859373684, 0.10953529019968514) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.567419442586037, 1.5624999999999998, 0.16385897342208083) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.7983026116717782, 1.7469281074217102, 0.1509286956805311) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.9700039213238945, 1.9531249999999996, 0.18536772903744864) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.192192906213148, 2.1836601342771376, 0.24108714995530053) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.4525914855399935, 2.4414062499999996, 0.25173518945484136) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.6850323078149203, 2.729575167846422, 0.3234790229801403) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.948891994705908, 3.051757812499999, 0.310686571998547) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.00275397038442, 1.0, 0.07343177259184071) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1340566561688685, 1.118033988749895, 0.08039320079059596) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.2300460609181274, 1.25, 0.1019941456741636) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.3199036355500844, 1.3975424859373684, 0.09236380712937994) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5186645562409704, 1.5624999999999998, 0.10837414158803423) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.7500215482359702, 1.7469281074217102, 0.14238918358914482) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.9200289232818188, 1.9531249999999996, 0.14132015075376053) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.125702860810216, 2.1836601342771376, 0.15259409191349674) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.4720510180766935, 2.4414062499999996, 0.18449118793756036) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.7524632375603066, 2.729575167846422, 0.23111631356399787) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.7869366694566406, 3.051757812499999, 0.21342343747380363) chain 11: 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 => 3.051757812499999), Dict(:param_1 => 0.21342343747380363)), [:param_1])) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:741 [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/v1.13/Test/src/Test.jl:1944 [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}}: └ (1.00275397038442, 1.0, 0.07343177259184071) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.1340566561688685, 1.118033988749895, 0.08039320079059596) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.2300460609181274, 1.25, 0.1019941456741636) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.3199036355500844, 1.3975424859373684, 0.09236380712937994) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.5186645562409704, 1.5624999999999998, 0.10837414158803423) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.7500215482359702, 1.7469281074217102, 0.14238918358914482) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (1.9200289232818188, 1.9531249999999996, 0.14132015075376053) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.125702860810216, 2.1836601342771376, 0.15259409191349674) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.4720510180766935, 2.4414062499999996, 0.18449118793756036) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.7524632375603066, 2.729575167846422, 0.23111631356399787) ┌ Info: std │ [(std(chain[sym]), std_true[sym], atol[sym]) for sym = names(chain, :parameters)] = │ 1-element Vector{Tuple{Float64, Float64, Float64}}: └ (2.7869366694566406, 3.051757812499999, 0.21342343747380363) chain 11: 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 => 3.051757812499999), Dict(:param_1 => 0.21342343747380363)), [:param_1])) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:741 [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/v1.13/Test/src/Test.jl:1944 [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 Test Summary: | Pass Fail Total Time MCMCTempering.jl | 1518 3 1521 5m22.8s Swapping | 34 34 2.3s Simple MvNormal with no expected swaps | 9 9 26.9s GMM 1D | 9 9 10.1s MvNormal 2D with different swap strategies | 53 53 57.7s Turing.jl | 25 1 26 2m27.6s Tempering of models | 2 2 6.5s AdvancedHMC.jl | 11 1 12 1m43.8s AdvancedMH.jl | 12 12 24.6s AbstractMCMC | 1262 1262 36.3s Simple tempered Gaussian (closed form) | 126 2 128 41.7s TemperedSampler | 32 32 26.0s MultiSampler without swapping | 32 32 5.5s MultiSampler with swapping (saveall=true) | 31 1 32 5.6s 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 | 2 2 0.0s 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 | 1 1 2 0.2s MultiSampler with swapping (saveall=true) | 31 1 32 3.8s 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 | 2 2 0.0s 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 | 1 1 2 0.1s RNG of the outermost testset: Random.Xoshiro(0xbf344727a2e91be9, 0x47fd669a2be31046, 0xcd2c006cbd036bb0, 0x0343326f19769eb6, 0xafdede1f89e1be25) ERROR: LoadError: Some tests did not pass: 1518 passed, 3 failed, 0 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/runtests.jl:186 Testing failed after 492.05s ERROR: LoadError: Package MCMCTempering errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.13/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/v1.13/Pkg/src/Operations.jl:2423 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2278 [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/v1.13/Pkg/src/API.jl:500 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:164 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:152 [7] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:152 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:151 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:309 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:324 [12] _start() @ Base ./client.jl:557 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 1469.91s: package has test failures