Package evaluation to test MCMCDiagnosticTools on Julia 1.14.0-DEV.3055 (7e75a8061a*) started at 2026-08-27T21:18:40.408 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.29s ################################################################################ # Installation # Installing MCMCDiagnosticTools... Resolving package versions... Installed Rmath_jll ─────────────────── v0.5.2+0 Installed CommonSolve ───────────────── v0.2.14 Installed CompositionsBase ──────────── v0.1.2 Installed HypergeometricFunctions ───── v0.3.30 Installed DataStructures ────────────── v0.19.6 Installed ConstructionBase ──────────── v1.6.0 Installed FillArrays ────────────────── v1.17.0 Installed MacroTools ────────────────── v0.5.16 Installed OrderedCollections ────────── v2.0.1 Installed StatsBase ─────────────────── v0.34.13 Installed AliasTables ───────────────── v1.1.3 Installed StatsAPI ──────────────────── v1.8.0 Installed IteratorInterfaceExtensions ─ v1.0.0 Installed DataAPI ───────────────────── v1.16.0 Installed Statistics ────────────────── v1.11.1 Installed PrecompileTools ───────────── v1.3.4 Installed DataValueInterfaces ───────── v1.0.0 Installed MCMCDiagnosticTools ───────── v0.3.19 Installed LogExpFunctions ───────────── v1.0.1 Installed IrrationalConstants ───────── v0.2.6 Installed OpenSpecFun_jll ───────────── v0.5.6+0 Installed AbstractFFTs ──────────────── v1.5.0 Installed Gamma ─────────────────────── v1.2.0 Installed QuadGK ────────────────────── v2.11.3 Installed StatsFuns ─────────────────── v2.2.1 Installed Rmath ─────────────────────── v0.9.0 Installed Roots ─────────────────────── v3.0.7 Installed Distributions ─────────────── v0.25.131 Installed Tables ────────────────────── v1.14.0 Installed SpecialFunctions ──────────── v2.9.0 Installed Reexport ──────────────────── v1.2.2 Installed PtrArrays ─────────────────── v1.4.0 Installed Missings ──────────────────── v1.2.0 Installed ScientificTypesBase ───────── v3.1.0 Installed InverseFunctions ──────────── v0.1.17 Installed Preferences ───────────────── v1.5.2 Installed JLLWrappers ───────────────── v1.8.0 Installed TableTraits ───────────────── v1.0.1 Installed SortingAlgorithms ─────────── v1.2.3 Installed PDMats ────────────────────── v0.11.41 Installed Accessors ─────────────────── v0.1.45 Installed StatisticalTraits ─────────── v3.5.0 Installed MLJModelInterface ─────────── v1.12.1 Installed DocStringExtensions ───────── v0.9.5 Installing 2 artifacts Installed artifact Rmath 111.3 KiB Installed artifact OpenSpecFun 105.4 KiB Updating `~/.julia/environments/v1.14/Project.toml` [be115224] + MCMCDiagnosticTools v0.3.19 Updating `~/.julia/environments/v1.14/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.45 [66dad0bd] + AliasTables v1.1.3 [38540f10] + CommonSolve v0.2.14 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.6 [e2d170a0] + DataValueInterfaces v1.0.0 [31c24e10] + Distributions v0.25.131 [ffbed154] + DocStringExtensions v0.9.5 [1a297f60] + FillArrays v1.17.0 [a0844989] + Gamma v1.2.0 [34004b35] + HypergeometricFunctions v0.3.30 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.8.0 [2ab3a3ac] + LogExpFunctions v1.0.1 [be115224] + MCMCDiagnosticTools v0.3.19 [e80e1ace] + MLJModelInterface v1.12.1 [1914dd2f] + MacroTools v0.5.16 [e1d29d7a] + Missings v1.2.0 [bac558e1] + OrderedCollections v2.0.1 [90014a1f] + PDMats v0.11.41 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 [189a3867] + Reexport v1.2.2 [79098fc4] + Rmath v0.9.0 [f2b01f46] + Roots v3.0.7 [30f210dd] + ScientificTypesBase v3.1.0 [a2af1166] + SortingAlgorithms v1.2.3 [276daf66] + SpecialFunctions v2.9.0 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.13 [4c63d2b9] + StatsFuns v2.2.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.14.0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.2+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [7b1f6079] + FileWatching v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization 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 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.7+0 [4536629a] + OpenBLAS_jll v0.3.34+0 [05823500] + OpenLibm_jll v0.8.7+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 8.7s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling project... 5.0 s ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/sTG3E/src/julia-1.13/activate_set.jl:78 Precompiling package dependencies... Precompiling project... 3.5 s ✓ MacroTools 0.5 s ✓ Reexport 0.8 s ✓ ConstructionBase 2.1 s ✓ IrrationalConstants 0.5 s ✓ DataValueInterfaces 0.6 s ✓ StatsAPI 1.2 s ✓ Calculus 0.9 s ✓ IterTools 0.9 s ✓ CEnum 1.8 s ✓ Combinatorics 0.6 s ✓ ArgCheck 0.8 s ✓ TupleTools 0.6 s ✓ LaTeXStrings 1.0 s ✓ Statistics 0.7 s ✓ StaticArraysCore 0.6 s ✓ IfElse 0.5 s ✓ PtrArrays 0.6 s ✓ ManualMemory 1.2 s ✓ Adapt 0.6 s ✓ DataAPI 3.4 s ✓ UnsafeAtomics 1.0 s ✓ ShowCases 0.8 s ✓ InvertedIndices 0.6 s ✓ InverseFunctions 0.5 s ✓ CompositionsBase 0.9 s ✓ AbstractTrees 1.0 s ✓ AbstractFFTs 0.8 s ✓ ComputationalResources 2.0 s ✓ FillArrays 0.5 s ✓ UnPack 0.9 s ✓ OrderedCollections 0.6 s ✓ HashArrayMappedTries 0.8 s ✓ DocStringExtensions 1.1 s ✓ BSON 1.3 s ✓ OffsetArrays 0.5 s ✓ SIMDTypes 0.5 s ✓ IteratorInterfaceExtensions 1.8 s ✓ Crayons 1.1 s ✓ Requires 1.0 s ✓ BFloat16s 2.2 s ✓ ProgressMeter 0.7 s ✓ DelimitedFiles 2.0 s ✓ SentinelArrays 1.7 s ✓ StructUtils 1.5 s ✓ CpuId 2.3 s ✓ PDMats 0.8 s ✓ Compat 1.0 s ✓ ScientificTypesBase 1.6 s ✓ PrecompileTools 1.9 s ✓ LearnAPI 3.2 s ✓ CodeTracking 1.7 s ✓ EarCut_jll 1.2 s ✓ Rmath_jll 1.2 s ✓ OpenSpecFun_jll 1.1 s ✓ liblinear_jll 1.1 s ✓ FFTW_jll 1.2 s ✓ LLVMOpenMP_jll 4.6 s ✓ IntelOpenMP_jll 4.7 s ✓ oneTBB_jll 2.5 s ✓ SimpleTraits 0.9 s ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 1.2 s ✓ Measurements 1.4 s ✓ Statistics → SparseArraysExt 2.4 s ✓ FixedPointNumbers 0.7 s ✓ ScikitLearnBase 1.2 s ✓ EarlyStopping 0.7 s ✓ AliasTables 1.3 s ✓ ThreadingUtilities 0.9 s ✓ ArrayInterface 1.5 s ✓ Adapt → AdaptSparseArraysExt 0.7 s ✓ GPUArraysCore 0.7 s ✓ Missings 0.7 s ✓ Atomix 0.9 s ✓ InverseFunctions → InverseFunctionsDatesExt 1.7 s ✓ InverseFunctions → InverseFunctionsTestExt 0.6 s ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 3.6 s ✓ AbstractFFTs → AbstractFFTsTestExt 2.0 s ✓ FillArrays → FillArraysSparseArraysExt 0.9 s ✓ FillArrays → FillArraysStatisticsExt 0.7 s ✓ Parameters 3.5 s ✓ DataStructures 0.6 s ✓ ScopedValues 1.2 s ✓ LogExpFunctions 1.3 s ✓ LogDensityProblems 0.5 s ✓ OffsetArrays → OffsetArraysAdaptExt 0.5 s ✓ TableTraits 1.0 s ✓ StructUtils → StructUtilsStaticArraysCoreExt 2.0 s ✓ FillArrays → FillArraysPDMatsExt 0.6 s ✓ Compat → CompatLinearAlgebraExt 1.1 s ✓ StatisticalTraits 6.1 s ✓ StringManipulation 1.7 s ✓ CommonSolve 13.8 s ✓ StaticArrays 6.4 s ✓ StridedViews 1.2 s ✓ SciMLPublic 1.4 s ✓ CommonWorldInvalidations 3.0 s ✓ RecipesBase 11.3 s ✓ Parsers 1.6 s ✓ Rmath 1.9 s ✓ LIBLINEAR 1.3 s ✓ libsvm_jll 1.4 s ✓ XGBoost_jll 5.0 s ✓ XGBoost_GPU_jll Downloading artifact: IntelOpenMP Downloading artifact: oneTBB 8.4 s ✓ MKL_jll 0.7 s ✓ StructUtils → StructUtilsMeasurementsExt 2.1 s ✓ ColorTypes 1.5 s ✓ DecisionTree 2.4 s ✓ IterationControl 0.7 s ✓ ArrayInterface → ArrayInterfaceFillArraysExt 0.4 s ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 1.0 s ✓ ArrayInterface → ArrayInterfaceSparseArraysExt 0.4 s ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt 3.1 s ✓ Accessors 0.6 s ✓ SortingAlgorithms 1.7 s ✓ QuadGK 0.5 s ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 1.1 s ✓ Gamma 4.8 s ✓ SpecialFunctions 1.4 s ✓ Tables 1.5 s ✓ ChainRulesCore 3.9 s ✓ Aqua 2.5 s ✓ CategoricalArrays 2.3 s ✓ MLJModelInterface 1.7 s ✓ BitBasis 1.0 s ✓ StaticArrays → StaticArraysStatisticsExt 0.9 s ✓ ConstructionBase → ConstructionBaseStaticArraysExt 0.9 s ✓ Adapt → AdaptStaticArraysExt 1.3 s ✓ FillArrays → FillArraysStaticArraysExt 0.7 s ✓ StridedViews → StridedViewsPtrArraysExt 0.7 s ✓ StridedViews → StridedViewsAdaptExt 17.6 s ✓ Strided 1.4 s ✓ Static 1.1 s ✓ Measurements → MeasurementsRecipesBaseExt 9.1 s ✓ JSON 2.9 s ✓ LIBSVM 2.9 s ✓ FFTW 1.1 s ✓ ColorTypes → StyledStringsExt 1.8 s ✓ Accessors → StaticArraysExt 1.9 s ✓ Accessors → TestExt 2.3 s ✓ Accessors → LinearAlgebraExt 4.6 s ✓ StatsBase 1.9 s ✓ HypergeometricFunctions 1.2 s ✓ Measurements → MeasurementsSpecialFunctionsExt 1.2 s ✓ StructArrays 1.3 s ✓ TableOperations 1.0 s ✓ StructUtils → StructUtilsTablesExt 2.6 s ✓ MLCore 43.4 s ✓ PrettyTables 1.6 s ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 0.9 s ✓ LazyStack 0.8 s ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt 0.6 s ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt 2.8 s ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 1.6 s ✓ StaticArrays → StaticArraysChainRulesCoreExt 3.2 s ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 2.0 s ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 2.0 s ✓ CategoricalArrays → CategoricalArraysSentinelArraysExt 5.5 s ✓ MLJDecisionTreeInterface 7.8 s ✓ KernelAbstractions 1.8 s ✓ TransmuteDims 0.9 s ✓ BitTwiddlingConvenienceFunctions 2.7 s ✓ CPUSummary 2.9 s ✓ StaticArrayInterface 1.8 s ✓ CategoricalArrays → CategoricalArraysJSONExt 5.5 s ✓ Roots 1.9 s ✓ PDMats → StatsBaseExt 2.8 s ✓ CategoricalArrays → CategoricalArraysStatsBaseExt 2.7 s ✓ StatsFuns 1.8 s ✓ StructArrays → StructArraysSparseArraysExt 0.7 s ✓ StructArrays → StructArraysLinearAlgebraExt 0.9 s ✓ StructArrays → StructArraysAdaptExt 1.7 s ✓ StructArrays → StructArraysStaticArraysExt 1.0 s ✓ Accessors → StructArraysExt 2.9 s ✓ KernelAbstractions → SparseArraysExt 2.0 s ✓ KernelAbstractions → LinearAlgebraExt 2.0 s ✓ StructArrays → StructArraysGPUArraysCoreExt 18.4 s ✓ TensorCast 1.9 s ✓ PolyesterWeave 1.0 s ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1.5 s ✓ StaticArrayInterface → StaticArrayInterfaceStaticArraysExt 1.0 s ✓ CloseOpenIntervals 1.2 s ✓ LayoutPointers 0.9 s ✓ Roots → RootsChainRulesCoreExt 2.7 s ✓ StatsFuns → StatsFunsChainRulesCoreExt 1.0 s ✓ StatsFuns → StatsFunsInverseFunctionsExt WARNING: method definition for centered at /home/pkgeval/.julia/packages/GeometryBasics/3PqdK/src/primitives/rectangles.jl:515 declares type variable N but does not use it. WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/3PqdK/src/meshes.jl:209 declares type variable FT but does not use it. WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/3PqdK/src/meshes.jl:209 declares type variable VT but does not use it. WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/3PqdK/src/meshes.jl:221 declares type variable FT but does not use it. WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/3PqdK/src/meshes.jl:221 declares type variable VT but does not use it. 4.7 s ✓ GeometryBasics 11.3 s ✓ NNlib 12.8 s ✓ DynamicHMC 2.2 s ✓ StrideArraysCore 10.0 s ✓ Distributions 2.6 s ✓ NetworkLayout 2.0 s ✓ NNlib → NNlibSpecialFunctionsExt 1.6 s ✓ NNlib → NNlibFFTWExt 11.9 s ✓ MLUtils 2.0 s ✓ Polyester 4.3 s ✓ Distributions → DistributionsTestExt 3.9 s ✓ Distributions → DistributionsChainRulesCoreExt 6.9 s ✓ MCMCDiagnosticTools 8.7 s ✓ ScientificTypes 11.4 s ✓ EvoTrees 18.2 s ✓ StatisticalMeasuresBase 3.5 s ✓ SparseMatricesCSR 8.2 s ✓ CategoricalDistributions 11.5 s ✓ MLJTransforms 6.8 s ✓ XGBoost 8.4 s ✓ MLJLIBSVMInterface 17.8 s ✓ MLJBase 9.8 s ✓ MLJXGBoostInterface 14.1 s ✓ MLJIteration 209 dependencies successfully precompiled in 609 seconds. 45 already precompiled. 2 dependencies had output during precompilation: ┌ GeometryBasics │ WARNING: method definition for centered at /home/pkgeval/.julia/packages/GeometryBasics/3PqdK/src/primitives/rectangles.jl:515 declares type variable N but does not use it. │ WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/3PqdK/src/meshes.jl:209 declares type variable FT but does not use it. │ WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/3PqdK/src/meshes.jl:209 declares type variable VT but does not use it. │ WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/3PqdK/src/meshes.jl:221 declares type variable FT but does not use it. │ WARNING: method definition for volume at /home/pkgeval/.julia/packages/GeometryBasics/3PqdK/src/meshes.jl:221 declares type variable VT but does not use it. └ ┌ MKL_jll │ Downloading artifact: IntelOpenMP │ Downloading artifact: oneTBB └ Precompilation completed after 651.28s ################################################################################ # Testing # Testing MCMCDiagnosticTools 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_Z17Cs7/Project.toml` [4c88cf16] + Aqua v0.8.16 [bbc10e6e] + DynamicHMC v3.6.1 ⌅ [f6006082] + EvoTrees v0.18.7 [7a1cc6ca] + FFTW v1.10.0 [6fdf6af0] + LogDensityProblems v2.2.0 [be115224] + MCMCDiagnosticTools v0.3.19 [a7f614a8] + MLJBase v1.14.1 [c6f25543] + MLJDecisionTreeInterface v0.5.0 [614be32b] + MLJIteration v0.6.5 [61c7150f] + MLJLIBSVMInterface v0.2.2 [23777cdb] + MLJTransforms v0.1.7 [54119dfa] + MLJXGBoostInterface v0.3.13 [6fe1bfb0] + OffsetArrays v1.17.0 [8dfed614] ~ Test ⇒ v1.11.0 Updating `/tmp/jl_Z17Cs7/Manifest.toml` [1520ce14] + AbstractTrees v0.4.5 [79e6a3ab] + Adapt v4.7.0 [4c88cf16] + Aqua v0.8.16 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.30.0 [a9b6321e] + Atomix v1.1.3 [ab4f0b2a] + BFloat16s v0.6.1 [fbb218c0] + BSON v0.3.9 [50ba71b6] + BitBasis v0.9.10 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [fa961155] + CEnum v0.5.0 [2a0fbf3d] + CPUSummary v0.2.7 [49dc2e85] + Calculus v0.5.2 [324d7699] + CategoricalArrays v1.1.1 [af321ab8] + CategoricalDistributions v0.2.2 [d360d2e6] + ChainRulesCore v1.26.1 [fb6a15b2] + CloseOpenIntervals v0.1.13 [da1fd8a2] + CodeTracking v3.0.2 [3da002f7] + ColorTypes v0.12.1 [861a8166] + Combinatorics v1.1.0 [f70d9fcc] + CommonWorldInvalidations v1.2.0 [34da2185] + Compat v4.18.1 [ed09eef8] + ComputationalResources v0.3.2 [adafc99b] + CpuId v0.3.1 [a8cc5b0e] + Crayons v4.2.0 [7806a523] + DecisionTree v0.12.4 [8bb1440f] + DelimitedFiles v1.9.1 [bbc10e6e] + DynamicHMC v3.6.1 [792122b4] + EarlyStopping v0.3.0 ⌅ [f6006082] + EvoTrees v0.18.7 [7a1cc6ca] + FFTW v1.10.0 ⌅ [53c48c17] + FixedPointNumbers v0.8.6 [46192b85] + GPUArraysCore v0.2.0 ⌃ [5c1252a2] + GeometryBasics v0.4.2 [076d061b] + HashArrayMappedTries v0.2.0 [615f187c] + IfElse v0.1.1 [41ab1584] + InvertedIndices v1.3.1 [c8e1da08] + IterTools v1.10.0 [b3c1a2ee] + IterationControl v0.5.4 [682c06a0] + JSON v1.7.1 [63c18a36] + KernelAbstractions v0.9.42 [2d691ee1] + LIBLINEAR v0.7.1 [b1bec4e5] + LIBSVM v0.8.1 [b964fa9f] + LaTeXStrings v1.4.1 [10f19ff3] + LayoutPointers v0.1.17 [1fad7336] + LazyStack v0.1.3 [92ad9a40] + LearnAPI v2.0.1 [6fdf6af0] + LogDensityProblems v2.2.0 [be115224] + MCMCDiagnosticTools v0.3.19 [c2834f40] + MLCore v1.1.0 [a7f614a8] + MLJBase v1.14.1 [c6f25543] + MLJDecisionTreeInterface v0.5.0 [614be32b] + MLJIteration v0.6.5 [61c7150f] + MLJLIBSVMInterface v0.2.2 [23777cdb] + MLJTransforms v0.1.7 [54119dfa] + MLJXGBoostInterface v0.3.13 [f1d291b0] + MLUtils v0.4.13 [d125e4d3] + ManualMemory v0.1.8 [eff96d63] + Measurements v2.14.1 [872c559c] + NNlib v0.9.44 [46757867] + NetworkLayout v0.4.10 [6fe1bfb0] + OffsetArrays v1.17.0 ⌅ [bac558e1] ↓ OrderedCollections v2.0.1 ⇒ v1.8.2 [d96e819e] + Parameters v0.13.1 ⌅ [69de0a69] + Parsers v2.8.7 [f517fe37] + Polyester v0.7.19 [1d0040c9] + PolyesterWeave v0.2.2 [08abe8d2] + PrettyTables v3.4.8 [92933f4c] + ProgressMeter v1.11.0 [3cdcf5f2] + RecipesBase v1.3.4 [ae029012] + Requires v1.3.1 [94e857df] + SIMDTypes v0.1.0 [431bcebd] + SciMLPublic v1.3.0 [321657f4] + ScientificTypes v3.3.0 [6e75b9c4] + ScikitLearnBase v0.5.0 [7e506255] + ScopedValues v1.6.2 [91c51154] + SentinelArrays v1.4.10 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.6 [a0a7dd2c] + SparseMatricesCSR v0.6.12 [aedffcd0] + Static v1.4.6 [0d7ed370] + StaticArrayInterface v1.10.0 [90137ffa] + StaticArrays v1.9.19 [1e83bf80] + StaticArraysCore v1.4.4 [c062fc1d] + StatisticalMeasuresBase v0.1.4 [7792a7ef] + StrideArraysCore v0.5.9 [5e0ebb24] + Strided v2.6.4 [4db3bf67] + StridedViews v0.5.2 [892a3eda] + StringManipulation v0.5.0 ⌅ [09ab397b] + StructArrays v0.6.21 [ec057cc2] + StructUtils v2.8.5 [ab02a1b2] + TableOperations v1.2.0 [02d47bb6] + TensorCast v0.4.9 [8290d209] + ThreadingUtilities v0.5.6 [24ddb15e] + TransmuteDims v0.1.17 [9d95972d] + TupleTools v1.6.0 [3a884ed6] + UnPack v1.0.2 [013be700] + UnsafeAtomics v0.3.2 [009559a3] + XGBoost v2.5.4 [d1e2174e] + CUDA_Compiler_jll v0.6.0+0 [4ee394cb] + CUDA_Driver_jll v13.3.1+0 [76a88914] + CUDA_Runtime_jll v0.24.2+0 [5ae413db] + EarCut_jll v3.2.3+0 [f5851436] + FFTW_jll v3.3.12+0 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0 [1d63c593] + LLVMOpenMP_jll v22.1.7+0 [856f044c] + MKL_jll v2025.2.0+0 [bf13095a] + XGBoost_GPU_jll v2.1.5+0 [a5c6f535] + XGBoost_jll v2.1.5+0 [275f1f90] + liblinear_jll v2.47.0+0 [08558c22] + libsvm_jll v3.25.0+0 [1317d2d5] + oneTBB_jll v2022.3.0+0 [0dad84c5] + ArgTools v1.2.0 [8ba89e20] + Distributed v1.12.0 [f43a241f] + Downloads v1.7.0 [9fa8497b] + Future v1.11.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [56ddb016] + Logging v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [a4e569a6] + Tar v1.10.0 [8dfed614] ~ Test ⇒ v1.11.0 [cf7118a7] + UUIDs v1.11.0 [deac9b47] + LibCURL_jll v8.21.0+0 [e37daf67] + LibGit2_jll v1.9.7+0 [29816b5a] + LibSSH2_jll v1.11.104+0 [14a3606d] + MozillaCACerts_jll v2026.8.13 [458c3c95] + OpenSSL_jll v3.5.8+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850ede] + nghttp2_jll v1.70.0+0 [3f19e933] + p7zip_jll v17.8.2+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. 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... bfmi.jl: Error During Test at /home/pkgeval/.julia/packages/MCMCDiagnosticTools/KPVrh/test/bfmi.jl:42 Test threw exception Expression: bfmi(energy_multichain) ≈ bfmi(energy_multichain'; dims = 2) MethodError: no method matching reducedim1(::Matrix{Float64}, ::LinearAlgebra.Adjoint{Int64, Matrix{Int64}}) The function `reducedim1` exists, but no method is defined for this combination of argument types. Closest candidates are: reducedim1(::Any) @ Base reducedim.jl:1229 Stacktrace: [1] centralize_sumabs2!(R::Matrix{Float64}, A::LinearAlgebra.Adjoint{Int64, Matrix{Int64}}, means::Matrix{Float64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Matrix{Float64}, A::LinearAlgebra.Adjoint{Int64, Matrix{Int64}}, m::Matrix{Float64}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::LinearAlgebra.Adjoint{Int64, Matrix{Int64}}, m::Matrix{Float64}, corrected::Bool, region::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [4] varm(A::LinearAlgebra.Adjoint{Int64, Matrix{Int64}}, m::Matrix{Float64}; corrected::Bool, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [5] _var(A::LinearAlgebra.Adjoint{Int64, Matrix{Int64}}, corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::LinearAlgebra.Adjoint{Int64, Matrix{Int64}}; corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] bfmi(energy::LinearAlgebra.Adjoint{Int64, Matrix{Int64}}; dims::Int64) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/bfmi.jl:41 [8] top-level scope @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/bfmi.jl:2 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [10] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/bfmi.jl:42 [inlined] [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:781 [inlined] ┌ Warning: number of draws after splitting must be >4 but is 4. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 0. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 2. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 4. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 4. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 0. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 0. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 2. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 2. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 4. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 0. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 2. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 4. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 4. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 0. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 2. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 2. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 4. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 4. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 0. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 2. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 2. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 4. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 4. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 4. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 4. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 0. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 0. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 2. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 2. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 2. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 2. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 4. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 4. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 0. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 2. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: number of draws after splitting must be >4 but is 2. ESS cannot be computed. └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/ess_rhat.jl:477 ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = call_composed(fs::Tuple{typeof(mad), typeof(vec)}, x::Tuple{Matrix{Float64}}, kw::Base.Pairs{Symbol, Union{}, Nothing, @NamedTuple{}}) at operators.jl:1125 [inlined] └ @ Base operators.jl:1125 ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = call_composed(fs::Tuple{typeof(mad), typeof(vec)}, x::Tuple{Matrix{Float64}}, kw::Base.Pairs{Symbol, Union{}, Nothing, @NamedTuple{}}) at operators.jl:1125 [inlined] └ @ Base operators.jl:1125 bulk and tail ESS and R-hat for heavy tailed: Error During Test at /home/pkgeval/.julia/packages/MCMCDiagnosticTools/KPVrh/test/ess_rhat.jl:377 Got exception outside of a @test MethodError: no method matching reducedim1(::Matrix{Float64}, ::Matrix{Float64}) The function `reducedim1` exists, but no method is defined for this combination of argument types. Closest candidates are: reducedim1(::Any) @ Base reducedim.jl:1229 Stacktrace: [1] centralize_sumabs2!(R::Matrix{Float64}, A::Matrix{Float64}, means::Matrix{Float64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Matrix{Float64}, A::Matrix{Float64}, m::Matrix{Float64}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::Matrix{Float64}, m::Matrix{Float64}, corrected::Bool, region::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [4] varm(A::Matrix{Float64}, m::Matrix{Float64}; corrected::Bool, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [5] _var(A::Matrix{Float64}, corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::Matrix{Float64}; corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] sample_M⁻¹(::Core.TypeEgal{LinearAlgebra.Diagonal}, posterior_matrix::Matrix{Float64}) @ DynamicHMC ~/.julia/packages/DynamicHMC/1t59O/src/mcmc.jl:209 [inlined] [8] warmup(sampling_logdensity::DynamicHMC.SamplingLogDensity{TaskLocalRNG, CauchyProblem, NUTS{Val{:generalized}}, NoProgressReport}, tuning::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, Float64}) @ DynamicHMC ~/.julia/packages/DynamicHMC/1t59O/src/mcmc.jl:282 [9] (::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{TaskLocalRNG, CauchyProblem, NUTS{Val{:generalized}}, NoProgressReport}})(acc::Tuple{Tuple{@NamedTuple{stage::InitialStepsizeSearch, results::Nothing, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, Float64}}, @NamedTuple{stage::TuningNUTS{Nothing, DualAveraging{Float64}}, results::@NamedTuple{posterior_matrix::Matrix{Float64}, tree_statistics::Vector{DynamicHMC.TreeStatisticsNUTS}, ϵs::Vector{Float64}, logdensities::Vector{Float64}}, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, Float64}}}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, Float64}}, stage::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}) @ DynamicHMC ~/.julia/packages/DynamicHMC/1t59O/src/mcmc.jl:453 [inlined] [10] (::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{TaskLocalRNG, CauchyProblem, NUTS{Val{:generalized}}, NoProgressReport}}})(acc::Tuple{Tuple{@NamedTuple{stage::InitialStepsizeSearch, results::Nothing, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, Float64}}, @NamedTuple{stage::TuningNUTS{Nothing, DualAveraging{Float64}}, results::@NamedTuple{posterior_matrix::Matrix{Float64}, tree_statistics::Vector{DynamicHMC.TreeStatisticsNUTS}, ϵs::Vector{Float64}, logdensities::Vector{Float64}}, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, Float64}}}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, Float64}}, x::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}) @ Base reduce.jl:84 [inlined] [11] afoldl(::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{TaskLocalRNG, CauchyProblem, NUTS{Val{:generalized}}, NoProgressReport}}}, ::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, Nothing}}, ::InitialStepsizeSearch, ::TuningNUTS{Nothing, DualAveraging{Float64}}, ::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, ::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, ::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, ::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, ::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, ::TuningNUTS{Nothing, DualAveraging{Float64}}) @ Base operators.jl:627 [12] _foldl_impl(op::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{TaskLocalRNG, CauchyProblem, NUTS{Val{:generalized}}, NoProgressReport}}}, init::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, Nothing}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}) @ Base reduce.jl:66 [inlined] [13] foldl_impl(op::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{TaskLocalRNG, CauchyProblem, NUTS{Val{:generalized}}, NoProgressReport}}}, nt::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, Nothing}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}) @ Base reduce.jl:46 [inlined] [14] mapfoldl_impl(f::typeof(identity), op::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{TaskLocalRNG, CauchyProblem, NUTS{Val{:generalized}}, NoProgressReport}}, nt::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, Nothing}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}) @ Base reduce.jl:42 [inlined] [15] mapfoldl(f::typeof(identity), op::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{TaskLocalRNG, CauchyProblem, NUTS{Val{:generalized}}, NoProgressReport}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}; init::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, Nothing}}) @ Base reduce.jl:173 [inlined] [16] foldl(op::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{TaskLocalRNG, CauchyProblem, NUTS{Val{:generalized}}, NoProgressReport}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}; kw::@Kwargs{init::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, Nothing}}}) @ Base reduce.jl:196 [inlined] [17] _warmup(sampling_logdensity::DynamicHMC.SamplingLogDensity{TaskLocalRNG, CauchyProblem, NUTS{Val{:generalized}}, NoProgressReport}, stages::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, initial_warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, LinearAlgebra.Diagonal{Float64, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, Nothing}) @ DynamicHMC ~/.julia/packages/DynamicHMC/1t59O/src/mcmc.jl:451 [inlined] [18] mcmc_keep_warmup(rng::TaskLocalRNG, ℓ::CauchyProblem, N::Int64; initialization::Tuple{}, warmup_stages::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, algorithm::NUTS{Val{:generalized}}, reporter::NoProgressReport) @ DynamicHMC ~/.julia/packages/DynamicHMC/1t59O/src/mcmc.jl:528 [inlined] [19] mcmc_with_warmup(rng::TaskLocalRNG, ℓ::CauchyProblem, N::Int64; initialization::Tuple{}, warmup_stages::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, algorithm::NUTS{Val{:generalized}}, reporter::NoProgressReport) @ DynamicHMC ~/.julia/packages/DynamicHMC/1t59O/src/mcmc.jl:578 [inlined] [20] (::var"#26#27"{TaskLocalRNG, NUTS{Val{:generalized}}, NoProgressReport, CauchyProblem})(::Int64) @ Main ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/ess_rhat.jl:386 [inlined] [21] iterate(::Base.Generator{UnitRange{Int64}, var"#26#27"{TaskLocalRNG, NUTS{Val{:generalized}}, NoProgressReport, CauchyProblem}}) @ Base generator.jl:49 [inlined] [22] _collect(c::UnitRange{Int64}, itr::Base.Generator{UnitRange{Int64}, var"#26#27"{TaskLocalRNG, NUTS{Val{:generalized}}, NoProgressReport, CauchyProblem}}, ::Base.EltypeUnknown, isz::Base.HasShape{1}) @ Base array.jl:859 [23] collect_similar(cont::UnitRange{Int64}, itr::Base.Generator{UnitRange{Int64}, var"#26#27"{TaskLocalRNG, NUTS{Val{:generalized}}, NoProgressReport, CauchyProblem}}) @ Base array.jl:774 [24] map(f::Function, A::UnitRange{Int64}) @ Base abstractarray.jl:3491 [25] top-level scope @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/ess_rhat.jl:41 [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [27] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/ess_rhat.jl:381 [inlined] [28] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [29] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/ess_rhat.jl:385 [inlined] ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = (::MCMCDiagnosticTools.var"#_mcse_sbm##2#_mcse_sbm##3"{typeof(mad), Base.ReshapedArray{Float64, 1, SubArray{Float64, 2, Array{Float64, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Int64}, true}, Tuple{}}, Int64})(i::Int64) at mcse.jl:143 [inlined] └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:143 ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = (::MCMCDiagnosticTools.var"#_mcse_sbm##2#_mcse_sbm##3"{typeof(mad), Base.ReshapedArray{Float64, 1, SubArray{Float64, 2, Array{Float64, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Int64}, true}, Tuple{}}, Int64})(i::Int64) at mcse.jl:143 [inlined] └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:143 ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = (::MCMCDiagnosticTools.var"#_mcse_sbm##2#_mcse_sbm##3"{typeof(mad), Base.ReshapedArray{Float64, 1, SubArray{Float64, 2, Array{Float64, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Int64}, true}, Tuple{}}, Int64})(i::Int64) at mcse.jl:143 [inlined] └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:143 ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = (::MCMCDiagnosticTools.var"#_mcse_sbm##2#_mcse_sbm##3"{typeof(mad), Vector{Float64}, Int64})(i::Int64) at mcse.jl:143 [inlined] └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:143 ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = (::MCMCDiagnosticTools.var"#_mcse_sbm##2#_mcse_sbm##3"{typeof(mad), Vector{Float64}, Int64})(i::Int64) at mcse.jl:143 [inlined] └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:143 ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = (::MCMCDiagnosticTools.var"#_mcse_sbm##2#_mcse_sbm##3"{typeof(mad), Vector{Float64}, Int64})(i::Int64) at mcse.jl:143 [inlined] └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:143 T = Float32, estimator = mean, _axes = (-5:94, 2:5, 11:15): Error During Test at /home/pkgeval/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:50 Got exception outside of a @test MethodError: no method matching reducedim1(::OffsetArray{Float32, 3, Array{Float32, 3}}, ::OffsetArray{Float32, 3, Array{Float32, 3}}) The function `reducedim1` exists, but no method is defined for this combination of argument types. Closest candidates are: reducedim1(::Any) @ Base reducedim.jl:1229 Stacktrace: [1] centralize_sumabs2!(R::OffsetArray{Float32, 3, Array{Float32, 3}}, A::OffsetArray{Float32, 3, Array{Float32, 3}}, means::OffsetArray{Float32, 3, Array{Float32, 3}}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::OffsetArray{Float32, 3, Array{Float32, 3}}, A::OffsetArray{Float32, 3, Array{Float32, 3}}, m::OffsetArray{Float32, 3, Array{Float32, 3}}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::OffsetArray{Float32, 3, Array{Float32, 3}}, m::OffsetArray{Float32, 3, Array{Float32, 3}}, corrected::Bool, region::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [inlined] [4] varm(A::OffsetArray{Float32, 3, Array{Float32, 3}}, m::OffsetArray{Float32, 3, Array{Float32, 3}}; corrected::Bool, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [5] _var(A::OffsetArray{Float32, 3, Array{Float32, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::OffsetArray{Float32, 3, Array{Float32, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::OffsetArray{Float32, 3, Array{Float32, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::OffsetArray{Float32, 3, Array{Float32, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:461 [inlined] [9] _mcse(::typeof(mean), samples::OffsetArray{Float32, 3, Array{Float32, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::OffsetArray{Float32, 3, Array{Float32, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:45 [inlined] [11] mcse(x::OffsetArray{Float32, 3, Array{Float32, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:41 [inlined] [12] top-level scope @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:9 [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [14] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:49 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [16] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:50 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [18] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:57 [inlined] T = Float32, estimator = mean, _axes = (-5:94, 2:5, 11:15, 0:1): Error During Test at /home/pkgeval/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:50 Got exception outside of a @test MethodError: no method matching reducedim1(::OffsetArray{Float32, 4, Array{Float32, 4}}, ::OffsetArray{Float32, 4, Array{Float32, 4}}) The function `reducedim1` exists, but no method is defined for this combination of argument types. Closest candidates are: reducedim1(::Any) @ Base reducedim.jl:1229 Stacktrace: [1] centralize_sumabs2!(R::OffsetArray{Float32, 4, Array{Float32, 4}}, A::OffsetArray{Float32, 4, Array{Float32, 4}}, means::OffsetArray{Float32, 4, Array{Float32, 4}}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::OffsetArray{Float32, 4, Array{Float32, 4}}, A::OffsetArray{Float32, 4, Array{Float32, 4}}, m::OffsetArray{Float32, 4, Array{Float32, 4}}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::OffsetArray{Float32, 4, Array{Float32, 4}}, m::OffsetArray{Float32, 4, Array{Float32, 4}}, corrected::Bool, region::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [inlined] [4] varm(A::OffsetArray{Float32, 4, Array{Float32, 4}}, m::OffsetArray{Float32, 4, Array{Float32, 4}}; corrected::Bool, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [5] _var(A::OffsetArray{Float32, 4, Array{Float32, 4}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::OffsetArray{Float32, 4, Array{Float32, 4}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::OffsetArray{Float32, 4, Array{Float32, 4}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::OffsetArray{Float32, 4, Array{Float32, 4}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:461 [inlined] [9] _mcse(::typeof(mean), samples::OffsetArray{Float32, 4, Array{Float32, 4}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::OffsetArray{Float32, 4, Array{Float32, 4}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:45 [inlined] [11] mcse(x::OffsetArray{Float32, 4, Array{Float32, 4}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:41 [inlined] [12] top-level scope @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:9 [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [14] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:49 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [16] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:50 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [18] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:57 [inlined] ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = (::MCMCDiagnosticTools.var"#_mcse_sbm##2#_mcse_sbm##3"{typeof(mad), Base.ReshapedArray{Float32, 1, SubArray{Float32, 2, Array{Float32, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Int64}, true}, Tuple{}}, Int64})(i::Int64) at mcse.jl:143 [inlined] └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:143 ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = (::MCMCDiagnosticTools.var"#_mcse_sbm##2#_mcse_sbm##3"{typeof(mad), Base.ReshapedArray{Float32, 1, SubArray{Float32, 2, Array{Float32, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Int64}, true}, Tuple{}}, Int64})(i::Int64) at mcse.jl:143 [inlined] └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:143 ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = (::MCMCDiagnosticTools.var"#_mcse_sbm##2#_mcse_sbm##3"{typeof(mad), Base.ReshapedArray{Float32, 1, SubArray{Float32, 2, Array{Float32, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Int64}, true}, Tuple{}}, Int64})(i::Int64) at mcse.jl:143 [inlined] └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:143 T = Float64, estimator = mean, _axes = (-5:94, 2:5, 11:15): Error During Test at /home/pkgeval/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:50 Got exception outside of a @test MethodError: no method matching reducedim1(::OffsetArray{Float64, 3, Array{Float64, 3}}, ::OffsetArray{Float64, 3, Array{Float64, 3}}) The function `reducedim1` exists, but no method is defined for this combination of argument types. Closest candidates are: reducedim1(::Any) @ Base reducedim.jl:1229 Stacktrace: [1] centralize_sumabs2!(R::OffsetArray{Float64, 3, Array{Float64, 3}}, A::OffsetArray{Float64, 3, Array{Float64, 3}}, means::OffsetArray{Float64, 3, Array{Float64, 3}}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::OffsetArray{Float64, 3, Array{Float64, 3}}, A::OffsetArray{Float64, 3, Array{Float64, 3}}, m::OffsetArray{Float64, 3, Array{Float64, 3}}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::OffsetArray{Float64, 3, Array{Float64, 3}}, m::OffsetArray{Float64, 3, Array{Float64, 3}}, corrected::Bool, region::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [inlined] [4] varm(A::OffsetArray{Float64, 3, Array{Float64, 3}}, m::OffsetArray{Float64, 3, Array{Float64, 3}}; corrected::Bool, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [5] _var(A::OffsetArray{Float64, 3, Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::OffsetArray{Float64, 3, Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::OffsetArray{Float64, 3, Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::OffsetArray{Float64, 3, Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:461 [inlined] [9] _mcse(::typeof(mean), samples::OffsetArray{Float64, 3, Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::OffsetArray{Float64, 3, Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:45 [inlined] [11] mcse(x::OffsetArray{Float64, 3, Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:41 [inlined] [12] top-level scope @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:9 [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [14] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:49 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [16] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:50 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [18] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:57 [inlined] T = Float64, estimator = mean, _axes = (-5:94, 2:5, 11:15, 0:1): Error During Test at /home/pkgeval/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:50 Got exception outside of a @test MethodError: no method matching reducedim1(::OffsetArray{Float64, 4, Array{Float64, 4}}, ::OffsetArray{Float64, 4, Array{Float64, 4}}) The function `reducedim1` exists, but no method is defined for this combination of argument types. Closest candidates are: reducedim1(::Any) @ Base reducedim.jl:1229 Stacktrace: [1] centralize_sumabs2!(R::OffsetArray{Float64, 4, Array{Float64, 4}}, A::OffsetArray{Float64, 4, Array{Float64, 4}}, means::OffsetArray{Float64, 4, Array{Float64, 4}}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::OffsetArray{Float64, 4, Array{Float64, 4}}, A::OffsetArray{Float64, 4, Array{Float64, 4}}, m::OffsetArray{Float64, 4, Array{Float64, 4}}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::OffsetArray{Float64, 4, Array{Float64, 4}}, m::OffsetArray{Float64, 4, Array{Float64, 4}}, corrected::Bool, region::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [inlined] [4] varm(A::OffsetArray{Float64, 4, Array{Float64, 4}}, m::OffsetArray{Float64, 4, Array{Float64, 4}}; corrected::Bool, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [5] _var(A::OffsetArray{Float64, 4, Array{Float64, 4}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::OffsetArray{Float64, 4, Array{Float64, 4}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::OffsetArray{Float64, 4, Array{Float64, 4}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::OffsetArray{Float64, 4, Array{Float64, 4}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:461 [inlined] [9] _mcse(::typeof(mean), samples::OffsetArray{Float64, 4, Array{Float64, 4}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::OffsetArray{Float64, 4, Array{Float64, 4}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:45 [inlined] [11] mcse(x::OffsetArray{Float64, 4, Array{Float64, 4}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:41 [inlined] [12] top-level scope @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:9 [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [14] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:49 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [16] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:50 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [18] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:57 [inlined] ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = (::MCMCDiagnosticTools.var"#_mcse_sbm##2#_mcse_sbm##3"{typeof(mad), Base.ReshapedArray{Union{Missing, Float64}, 1, SubArray{Union{Missing, Float64}, 2, Array{Union{Missing, Float64}, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Int64}, true}, Tuple{}}, Int64})(i::Int64) at mcse.jl:143 [inlined] └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:143 ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = (::MCMCDiagnosticTools.var"#_mcse_sbm##2#_mcse_sbm##3"{typeof(mad), Base.ReshapedArray{Union{Missing, Float64}, 1, SubArray{Union{Missing, Float64}, 2, Array{Union{Missing, Float64}, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Int64}, true}, Tuple{}}, Int64})(i::Int64) at mcse.jl:143 [inlined] └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:143 ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = (::MCMCDiagnosticTools.var"#_mcse_sbm##2#_mcse_sbm##3"{typeof(mad), Base.ReshapedArray{Union{Missing, Float64}, 1, SubArray{Union{Missing, Float64}, 2, Array{Union{Missing, Float64}, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Int64}, true}, Tuple{}}, Int64})(i::Int64) at mcse.jl:143 [inlined] └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:143 ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = _mcse_sbm(f::typeof(mad), x::Vector{Float64}, batch_size::Int64) at mcse.jl:140 └ @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:140 ┌ Warning: the `normalize` keyword argument will be false by default in future releases: set it explicitly to silence this deprecation │ caller = (::var"#40#41")(x::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}) at mcse.jl:97 [inlined] └ @ Main ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/mcse.jl:97 results: Error During Test at /home/pkgeval/.julia/packages/MCMCDiagnosticTools/KPVrh/test/gelmandiag.jl:7 Got exception outside of a @test MethodError: no method matching reducedim1(::Matrix{Float64}, ::LinearAlgebra.Adjoint{Float64, Matrix{Float64}}) The function `reducedim1` exists, but no method is defined for this combination of argument types. Closest candidates are: reducedim1(::Any) @ Base reducedim.jl:1229 Stacktrace: [1] centralize_sumabs2!(R::Matrix{Float64}, A::LinearAlgebra.Adjoint{Float64, Matrix{Float64}}, means::Matrix{Float64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Matrix{Float64}, A::LinearAlgebra.Adjoint{Float64, Matrix{Float64}}, m::Matrix{Float64}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::LinearAlgebra.Adjoint{Float64, Matrix{Float64}}, m::Matrix{Float64}, corrected::Bool, region::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [4] varm(A::LinearAlgebra.Adjoint{Float64, Matrix{Float64}}, m::Matrix{Float64}; corrected::Bool, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [5] _var(A::LinearAlgebra.Adjoint{Float64, Matrix{Float64}}, corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::LinearAlgebra.Adjoint{Float64, Matrix{Float64}}; corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _gelmandiag(psi::Array{Float64, 3}; alpha::Float64) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/gelmandiag.jl:20 [8] _gelmandiag(psi::Array{Float64, 3}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/gelmandiag.jl:1 [inlined] [9] gelmandiag(chains::Array{Float64, 3}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/gelmandiag.jl:69 [inlined] [10] gelmandiag(chains::Array{Float64, 3}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/gelmandiag.jl:68 [11] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/gelmandiag.jl:8 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [13] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/gelmandiag.jl:8 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [15] top-level scope @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/gelmandiag.jl:2 T = Float32: Error During Test at /home/pkgeval/.julia/packages/MCMCDiagnosticTools/KPVrh/test/gewekediag.jl:3 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float32, 3}, ::Array{Float32, 3}) The function `reducedim1` exists, but no method is defined for this combination of argument types. Closest candidates are: reducedim1(::Any) @ Base reducedim.jl:1229 Stacktrace: [1] centralize_sumabs2!(R::Array{Float32, 3}, A::Array{Float32, 3}, means::Array{Float32, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float32, 3}, A::Array{Float32, 3}, m::Array{Float32, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::Array{Float32, 3}, m::Array{Float32, 3}, corrected::Bool, region::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [inlined] [4] varm(A::Array{Float32, 3}, m::Array{Float32, 3}; corrected::Bool, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [5] _var(A::Array{Float32, 3}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::Array{Float32, 3}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::Array{Float32, 3}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::Array{Float32, 3}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:461 [inlined] [9] _mcse(::typeof(mean), samples::Array{Float32, 3}; kwargs::@Kwargs{split_chains::Int64}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:50 [10] mcse(x::Array{Float32, 3}; kind::typeof(mean), kwargs::@Kwargs{split_chains::Int64}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:41 [inlined] [11] gewekediag(x::Vector{Float32}; first::Float64, last::Float64, kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/gewekediag.jl:27 [12] gewekediag(x::Vector{Float32}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/gewekediag.jl:19 [13] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/gewekediag.jl:5 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [15] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/gewekediag.jl:3 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [17] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/gewekediag.jl:3 [inlined] [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [19] top-level scope @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/gewekediag.jl:2 T = Float64: Error During Test at /home/pkgeval/.julia/packages/MCMCDiagnosticTools/KPVrh/test/gewekediag.jl:3 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::Array{Float64, 3}) The function `reducedim1` exists, but no method is defined for this combination of argument types. Closest candidates are: reducedim1(::Any) @ Base reducedim.jl:1229 Stacktrace: [1] centralize_sumabs2!(R::Array{Float64, 3}, A::Array{Float64, 3}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::Array{Float64, 3}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::Array{Float64, 3}, m::Array{Float64, 3}, corrected::Bool, region::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [inlined] [4] varm(A::Array{Float64, 3}, m::Array{Float64, 3}; corrected::Bool, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [5] _var(A::Array{Float64, 3}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::Array{Float64, 3}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::Array{Float64, 3}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::Array{Float64, 3}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:461 [inlined] [9] _mcse(::typeof(mean), samples::Array{Float64, 3}; kwargs::@Kwargs{split_chains::Int64}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:50 [10] mcse(x::Array{Float64, 3}; kind::typeof(mean), kwargs::@Kwargs{split_chains::Int64}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/mcse.jl:41 [inlined] [11] gewekediag(x::Vector{Float64}; first::Float64, last::Float64, kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/gewekediag.jl:27 [12] gewekediag(x::Vector{Float64}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/KPVrh/src/gewekediag.jl:19 [13] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/gewekediag.jl:5 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [15] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/gewekediag.jl:3 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [17] macro expansion @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/gewekediag.jl:3 [inlined] [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [19] top-level scope @ ~/.julia/packages/MCMCDiagnosticTools/KPVrh/test/gewekediag.jl:2 [ Info: The following kwargs are not supported and will be ignored: [:rng]. [ Info: The following kwargs are not supported and will be ignored: [:rng]. Test Summary: | Pass Error Total Time MCMCDiagnosticTools.jl | 27256 9 27265 20m12.3s Aqua | 11 11 1m49.7s utils | 118 118 1m10.1s Bayesian fraction of missing information | 5 1 6 17.7s bfmi.jl | 5 1 6 17.7s discrete diagnostic | 89 89 56.9s ESS and R̂ | 12062 1 12063 4m03.7s ess_rhat.jl | 12062 1 12063 3m57.0s ess/ess_rhat/rhat basics | 2844 2844 1m43.8s ESS and R̂ (IID samples) | 84 84 1m02.4s ESS and R̂ (identical samples) | 8 8 3.7s Autocov of AutocovMethod and FFTAutocovMethod equivalent to StatsBase | 2 2 1.9s ESS and R̂ for chains with 2 epochs that have not mixed | 3 3 2.8s ess(x; kind=f) | 9101 9101 50.2s ESS thresholded for antithetic chains | 8 8 0.1s ess(x; kind=:bulk) | 2 2 0.3s tail- ESS and R-hat detect mismatched scales | 6 6 1.8s tail ESS does not overflow for integer types | 4 4 0.2s bulk and tail ESS and R-hat for heavy tailed | 1 1 9.7s Nested R̂ | 156 156 37.6s Monte Carlo standard error | 14531 4 14535 4m13.4s mcse.jl | 14531 4 14535 4m13.1s estimator defaults to mean | 1 1 0.3s ESS-based methods forward kwargs to ess | 4 4 11.5s mcse falls back to _mcse_sbm | 1 1 8.9s handles all sizes correctly | 45 45 12.9s mcse produces similar vectors to inputs | 60 4 64 1m27.8s T = Float32, estimator = mean, _axes = (-5:94, 2:5, 11:15) | 1 1 6.0s T = Float32, estimator = mean, _axes = (-5:94, 2:5, 11:15, 0:1) | 1 1 8.1s T = Float32, estimator = median, _axes = (-5:94, 2:5, 11:15) | 4 4 3.0s T = Float32, estimator = median, _axes = (-5:94, 2:5, 11:15, 0:1) | 4 4 1.3s T = Float32, estimator = std, _axes = (-5:94, 2:5, 11:15) | 4 4 15.3s T = Float32, estimator = std, _axes = (-5:94, 2:5, 11:15, 0:1) | 4 4 18.5s T = Float32, estimator = Base.Fix2(Statistics.quantile, 0.1f0), _axes = (-5:94, 2:5, 11:15) | 3 3 0.4s T = Float32, estimator = Base.Fix2(Statistics.quantile, 0.1f0), _axes = (-5:94, 2:5, 11:15, 0:1) | 3 3 0.3s T = Float32, estimator = mad, _axes = (-5:94, 2:5, 11:15) | 4 4 3.4s T = Float32, estimator = mad, _axes = (-5:94, 2:5, 11:15, 0:1) | 4 4 4.4s T = Float64, estimator = mean, _axes = (-5:94, 2:5, 11:15) | 1 1 4.9s T = Float64, estimator = mean, _axes = (-5:94, 2:5, 11:15, 0:1) | 1 1 5.6s T = Float64, estimator = median, _axes = (-5:94, 2:5, 11:15) | 4 4 0.2s T = Float64, estimator = median, _axes = (-5:94, 2:5, 11:15, 0:1) | 4 4 0.2s T = Float64, estimator = std, _axes = (-5:94, 2:5, 11:15) | 4 4 4.4s T = Float64, estimator = std, _axes = (-5:94, 2:5, 11:15, 0:1) | 4 4 5.1s T = Float64, estimator = Base.Fix2(Statistics.quantile, 0.1), _axes = (-5:94, 2:5, 11:15) | 3 3 0.1s T = Float64, estimator = Base.Fix2(Statistics.quantile, 0.1), _axes = (-5:94, 2:5, 11:15, 0:1) | 3 3 0.1s T = Float64, estimator = mad, _axes = (-5:94, 2:5, 11:15) | 4 4 2.3s T = Float64, estimator = mad, _axes = (-5:94, 2:5, 11:15, 0:1) | 4 4 4.2s mcse with Union{Missing,Float64} eltype | 12 12 36.0s mcse for scalar array is always a NaN | 8 8 1.4s estimand is within interval defined by MCSE estimate | 14400 14400 1m34.4s Gelman, Rubin and Brooks diagnostic | 2 1 3 15.7s gelmandiag.jl | 2 1 3 14.6s results | 1 1 12.9s exceptions | 2 2 1.8s Geweke diagnostic | 9 2 11 4.1s gewekediag.jl | 9 2 11 2.8s results | 2 2 2.5s T = Float32 | 1 1 1.8s T = Float64 | 1 1 0.7s exceptions | 9 9 0.3s Heidelberger and Welch diagnostic | 2 2 2.9s Raftery and Lewis diagnostic | 2 2 3.8s R⋆ diagnostic | 269 269 6m36.3s RNG of the outermost testset: Xoshiro(0xfff0241072ddab67, 0xc53bc12f4c3f0b4e, 0x56d451780b2dd4ba, 0x50a4aa153d208dd8, 0x3649a58b3b63d5db) ERROR: LoadError: Some tests did not pass: 27256 passed, 0 failed, 9 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/MCMCDiagnosticTools/KPVrh/test/runtests.jl:10 Testing failed after 1266.41s ERROR: LoadError: Package MCMCDiagnosticTools 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:3283 [3] 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:587 [4] 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 [5] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [6] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [7] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 2027.6s: package tests unexpectedly errored