Package evaluation to test MCMCTempering on Julia 1.14.0-DEV.3055 (7e75a8061a*) started at 2026-08-28T01:36:04.403 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 15.85s ################################################################################ # Installation # Installing MCMCTempering... Resolving package versions... Installed CommonSolve ───────────────── v0.2.14 Installed MCMCTempering ─────────────── v0.3.2 Installed DataStructures ────────────── v0.19.6 Installed MicroCollections ──────────── v0.1.4 Installed Rmath_jll ─────────────────── v0.5.2+0 Installed CompositionsBase ──────────── v0.1.2 Installed MacroTools ────────────────── v0.5.16 Installed DefineSingletons ──────────── v0.1.2 Installed FFTA ──────────────────────── v0.3.1 Installed FillArrays ────────────────── v1.17.0 Installed AbstractTrees ─────────────── v0.4.5 Installed Adapt ─────────────────────── v4.7.0 Installed HypergeometricFunctions ───── v0.3.30 Installed OrderedCollections ────────── v1.8.2 Installed KernelDensity ─────────────── v0.6.12 Installed StatsBase ─────────────────── v0.34.13 Installed AliasTables ───────────────── v1.1.3 Installed ConstructionBase ──────────── v1.6.0 Installed IteratorInterfaceExtensions ─ v1.0.0 Installed Compat ────────────────────── v4.18.1 Installed ProgressLogging ───────────── v0.1.6 Installed ConsoleProgressMonitor ────── v0.1.2 Installed DataAPI ───────────────────── v1.16.0 Installed RecipesBase ───────────────── v1.3.4 Installed Statistics ────────────────── v1.11.1 Installed PrecompileTools ───────────── v1.3.4 Installed MCMCDiagnosticTools ───────── v0.3.19 Installed DataValueInterfaces ───────── v1.0.0 Installed StatsAPI ──────────────────── v1.8.0 Installed InitialValues ─────────────── v0.3.1 Installed StaticArrays ──────────────── v1.9.19 Installed OffsetArrays ──────────────── v1.17.0 Installed ArgCheck ──────────────────── v2.5.0 Installed ProgressMeter ─────────────── v1.11.0 Installed LoggingExtras ─────────────── v1.2.0 Installed ConcreteStructs ───────────── v0.2.8 Installed StaticArraysCore ──────────── v1.4.4 Installed LogDensityProblems ────────── v2.2.0 Installed IrrationalConstants ───────── v0.2.6 Installed BangBang ──────────────────── v0.3.40 Installed AbstractFFTs ──────────────── v1.5.0 Installed ChainRulesCore ────────────── v1.26.1 Installed TerminalLoggers ───────────── v0.1.8 Installed IntegerMathUtils ──────────── v0.1.4 Installed StringManipulation ────────── v0.4.7 Installed QuadGK ────────────────────── v2.11.3 Installed AxisAlgorithms ────────────── v1.1.0 Installed Ratios ────────────────────── v0.4.5 Installed Requires ──────────────────── v1.3.1 Installed Interpolations ────────────── v0.16.3 Installed Gamma ─────────────────────── v1.1.0 Installed LeftChildRightSiblingTrees ── v0.3.0 Installed OpenSpecFun_jll ───────────── v0.5.6+0 Installed Roots ─────────────────────── v3.0.7 Installed Rmath ─────────────────────── v0.9.0 Installed LogExpFunctions ───────────── v0.3.29 Installed PrettyTables ──────────────── v2.4.0 Installed Distributions ─────────────── v0.25.131 Installed AbstractMCMC ──────────────── v4.4.2 Installed MuladdMacro ───────────────── v0.2.7 Installed Tables ────────────────────── v1.14.0 Installed SplittablesBase ───────────── v0.1.15 Installed WoodburyMatrices ──────────── v1.1.0 Installed PtrArrays ─────────────────── v1.4.0 Installed StatsFuns ─────────────────── v1.5.2 Installed Transducers ───────────────── v0.4.80 Installed SpecialFunctions ──────────── v2.9.0 Installed InverseFunctions ──────────── v0.1.17 Installed Missings ──────────────────── v1.2.0 Installed Reexport ──────────────────── v1.2.2 Installed Setfield ──────────────────── v1.1.2 Installed IntervalSets ──────────────── v0.7.14 Installed ScientificTypesBase ───────── v3.1.0 Installed Baselet ───────────────────── v0.1.1 Installed Preferences ───────────────── v1.5.2 Installed LaTeXStrings ──────────────── v1.4.1 Installed MCMCChains ────────────────── v6.0.7 Installed PDMats ────────────────────── v0.11.41 Installed SortingAlgorithms ─────────── v1.2.3 Installed Crayons ───────────────────── v4.2.0 Installed TableTraits ───────────────── v1.0.1 Installed Primes ────────────────────── v0.5.7 Installed JLLWrappers ───────────────── v1.8.0 Installed Accessors ─────────────────── v0.1.45 Installed RangeArrays ───────────────── v0.3.2 Installed StatisticalTraits ─────────── v3.5.0 Installed NaturalSort ───────────────── v1.0.0 Installed IterTools ─────────────────── v1.10.0 Installed MLJModelInterface ─────────── v1.12.1 Installed AxisArrays ────────────────── v0.4.8 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` [ce233488] + MCMCTempering v0.3.2 Updating `~/.julia/environments/v1.14/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 ⌅ [80f14c24] + AbstractMCMC v4.4.2 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.45 [79e6a3ab] + Adapt v4.7.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.8 ⌅ [198e06fe] + BangBang v0.3.40 [9718e550] + Baselet v0.1.1 [d360d2e6] + ChainRulesCore v1.26.1 [38540f10] + CommonSolve v0.2.14 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.8 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.6.0 [a8cc5b0e] + Crayons v4.2.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.6 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [31c24e10] + Distributions v0.25.131 [ffbed154] + DocStringExtensions v0.9.5 [b86e33f2] + FFTA v0.3.1 [1a297f60] + FillArrays v1.17.0 ⌃ [a0844989] + Gamma v1.1.0 [34004b35] + HypergeometricFunctions v0.3.30 [22cec73e] + InitialValues v0.3.1 [18e54dd8] + IntegerMathUtils v0.1.4 [a98d9a8b] + Interpolations v0.16.3 [8197267c] + IntervalSets v0.7.14 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.8.0 [5ab0869b] + KernelDensity v0.6.12 [b964fa9f] + LaTeXStrings v1.4.1 [1d6d02ad] + LeftChildRightSiblingTrees v0.3.0 [6fdf6af0] + LogDensityProblems v2.2.0 ⌅ [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 ⌅ [c7f686f2] + MCMCChains v6.0.7 [be115224] + MCMCDiagnosticTools v0.3.19 [ce233488] + MCMCTempering v0.3.2 [e80e1ace] + MLJModelInterface v1.12.1 [1914dd2f] + MacroTools v0.5.16 ⌅ [128add7d] + MicroCollections v0.1.4 [e1d29d7a] + Missings v1.2.0 [46d2c3a1] + MuladdMacro v0.2.7 [c020b1a1] + NaturalSort v1.0.0 [6fe1bfb0] + OffsetArrays v1.17.0 ⌅ [bac558e1] + OrderedCollections v1.8.2 [90014a1f] + PDMats v0.11.41 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 ⌅ [08abe8d2] + PrettyTables v2.4.0 [27ebfcd6] + Primes v0.5.7 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 [b3c3ace0] + RangeArrays v0.3.2 [c84ed2f1] + Ratios v0.4.5 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [f2b01f46] + Roots v3.0.7 [30f210dd] + ScientificTypesBase v3.1.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.3 [276daf66] + SpecialFunctions v2.9.0 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.19 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.13 ⌅ [4c63d2b9] + StatsFuns v1.5.2 ⌅ [892a3eda] + StringManipulation v0.4.7 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.14.0 [5d786b92] + TerminalLoggers v0.1.8 ⌃ [28d57a85] + Transducers v0.4.80 [efce3f68] + WoodburyMatrices v1.1.0 [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 [8ba89e20] + Distributed v1.12.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.7+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 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 10.42s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling project... 5.3 s ✓ TestEnv 1 dependency successfully precompiled in 6 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... 3.8 s ✓ MacroTools 1.6 s ✓ InlineStrings 0.5 s ✓ Reexport 0.8 s ✓ MappedArrays 1.1 s ✓ ConstructionBase 2.1 s ✓ IrrationalConstants 0.6 s ✓ ChangesOfVariables 0.5 s ✓ DataValueInterfaces 0.6 s ✓ StatsAPI 1.0 s ✓ IterTools 0.8 s ✓ IntervalSets 0.9 s ✓ Functors 1.7 s ✓ Combinatorics 0.6 s ✓ ArgCheck 0.8 s ✓ LaTeXStrings 1.6 s ✓ Baselet 0.8 s ✓ Statistics 0.6 s ✓ Tricks 0.7 s ✓ StaticArraysCore 0.8 s ✓ LRUCache 0.5 s ✓ PtrArrays 0.5 s ✓ NaturalSort 0.6 s ✓ DataAPI 0.5 s ✓ RealDot 3.2 s ✓ UnsafeAtomics 1.3 s ✓ RandomNumbers 0.6 s ✓ InvertedIndices 0.6 s ✓ InverseFunctions 0.5 s ✓ CompositionsBase 1.1 s ✓ AbstractTrees 0.6 s ✓ SimpleUnPack 1.5 s ✓ InitialValues 0.8 s ✓ AbstractFFTs 0.6 s ✓ EnumX 2.2 s ✓ FillArrays 0.6 s ✓ IntegerMathUtils 0.8 s ✓ ExprTools 0.6 s ✓ RangeArrays 1.0 s ✓ OrderedCollections 1.1 s ✓ FunctionWrappers 0.6 s ✓ HashArrayMappedTries 0.9 s ✓ DocStringExtensions 0.5 s ✓ DefineSingletons 1.0 s ✓ Gamma 1.2 s ✓ OffsetArrays 0.5 s ✓ IteratorInterfaceExtensions 2.0 s ✓ Crayons 0.7 s ✓ ProgressLogging 0.8 s ✓ NaNMath 0.8 s ✓ Requires 2.5 s ✓ ProgressMeter 1.0 s ✓ DelimitedFiles 1.7 s ✓ WoodburyMatrices 2.2 s ✓ SentinelArrays 1.4 s ✓ LoggingExtras 2.3 s ✓ PDMats 1.6 s ✓ SparseInverseSubset 0.8 s ✓ Compat 1.4 s ✓ Preferences 1.1 s ✓ ScientificTypesBase 0.5 s ✓ InplaceOps 4.5 s ✓ Lazy 0.9 s ✓ CommonSubexpressions 0.6 s ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 4.0 s ✓ ChangesOfVariables → ChangesOfVariablesTestExt 0.6 s ✓ IntervalSets → IntervalSetsRandomExt 0.6 s ✓ ConstructionBase → ConstructionBaseIntervalSetsExt 1.6 s ✓ Statistics → SparseArraysExt 0.6 s ✓ IntervalSets → IntervalSetsStatisticsExt 0.6 s ✓ DiffResults 0.5 s ✓ LRUCache → SerializationExt 0.8 s ✓ AliasTables 0.7 s ✓ Missings 0.8 s ✓ PooledArrays 0.7 s ✓ Atomix 1.7 s ✓ Random123 1.2 s ✓ InverseFunctions → InverseFunctionsDatesExt 1.4 s ✓ InverseFunctions → InverseFunctionsTestExt 0.6 s ✓ ChangesOfVariables → ChangesOfVariablesInverseFunctionsExt 0.5 s ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 0.6 s ✓ LeftChildRightSiblingTrees 3.7 s ✓ AbstractFFTs → AbstractFFTsTestExt 2.1 s ✓ FillArrays → FillArraysSparseArraysExt 0.9 s ✓ FillArrays → FillArraysStatisticsExt 1.3 s ✓ Primes 0.6 s ✓ FunctionWrappersWrappers 1.2 s ✓ Libtask 0.6 s ✓ ScopedValues 1.5 s ✓ LogExpFunctions 0.8 s ✓ SymbolicIndexingInterface 1.4 s ✓ LogDensityProblems 1.8 s ✓ HypergeometricFunctions 0.5 s ✓ TableTraits 0.6 s ✓ Ratios 0.6 s ✓ Adapt 1.6 s ✓ ConsoleProgressMonitor 1.6 s ✓ AxisAlgorithms 2.5 s ✓ FillArrays → FillArraysPDMatsExt 0.5 s ✓ Compat → CompatLinearAlgebraExt 1.3 s ✓ PrecompileTools 1.3 s ✓ JLLWrappers 1.7 s ✓ TruncatedStacktraces 1.3 s ✓ StatisticalTraits 2.1 s ✓ Setfield 1.6 s ✓ AxisArrays 1.6 s ✓ DensityInterface 4.5 s ✓ Accessors 1.8 s ✓ TerminalLoggers 0.6 s ✓ LogExpFunctions → LogExpFunctionsChangesOfVariablesExt 1.0 s ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 0.8 s ✓ LogDensityProblemsAD 2.0 s ✓ Tables 1.7 s ✓ ArrayInterface 0.7 s ✓ GPUArraysCore 0.5 s ✓ OffsetArrays → OffsetArraysAdaptExt 2.4 s ✓ ChainRulesCore 3.9 s ✓ DataStructures 6.6 s ✓ StringManipulation 1.6 s ✓ CommonSolve 14.5 s ✓ StaticArrays 1.8 s ✓ MuladdMacro 3.0 s ✓ RecipesBase 4.1 s ✓ ConcreteStructs 3.6 s ✓ RuntimeGeneratedFunctions 1.6 s ✓ Rmath_jll 1.2 s ✓ OpenSpecFun_jll 3.9 s ✓ MLJModelInterface 2.7 s ✓ SplittablesBase 2.0 s ✓ Accessors → TestExt 2.4 s ✓ Accessors → IntervalSetsExt 1.5 s ✓ Accessors → LinearAlgebraExt 1.3 s ✓ StructArrays 1.5 s ✓ BangBang 1.4 s ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 1.4 s ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt 1.6 s ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 1.8 s ✓ Optimisers 1.4 s ✓ ZygoteRules 0.6 s ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt 2.8 s ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 1.5 s ✓ SortingAlgorithms 2.2 s ✓ QuadGK WARNING: Imported binding Base._sortslices was undeclared at import time during import to NamedArrays. WARNING: Imported binding Base._negdims was undeclared at import time during import to NamedArrays. WARNING: Imported binding Base.DimSelector was undeclared at import time during import to NamedArrays. ERROR: LoadError: invalid method definition in NamedArrays: exported function Base._sortslices does not exist Stacktrace: [1] top-level scope @ ~/.julia/packages/NamedArrays/spYk1/src/rearrange.jl:106 [2] include(mapexpr::Function, mod::Module, _path::String) @ Base Base.jl:335 [3] top-level scope @ ~/.julia/packages/NamedArrays/spYk1/src/NamedArrays.jl:35 [4] include(mod::Module, _path::String) @ Base Base.jl:334 [5] top-level scope @ stdin:5 in expression starting at /home/pkgeval/.julia/packages/NamedArrays/spYk1/src/rearrange.jl:106 in expression starting at /home/pkgeval/.julia/packages/NamedArrays/spYk1/src/NamedArrays.jl:9 in expression starting at stdin:5 ✗ NamedArrays 26.9 s ✓ PrettyTables 1.3 s ✓ StaticArrays → StaticArraysStatisticsExt 1.4 s ✓ StaticArrays → StaticArraysChainRulesCoreExt 1.5 s ✓ ConstructionBase → ConstructionBaseStaticArraysExt 1.8 s ✓ FillArrays → FillArraysStaticArraysExt 1.3 s ✓ Adapt → AdaptStaticArraysExt 1.6 s ✓ Accessors → StaticArraysExt 2.1 s ✓ FFTA 1.2 s ✓ IntervalSets → IntervalSetsRecipesBaseExt 1.4 s ✓ Rmath 5.3 s ✓ SpecialFunctions 5.4 s ✓ Roots 1.6 s ✓ StructArrays → StructArraysSparseArraysExt 0.7 s ✓ StructArrays → StructArraysGPUArraysCoreExt 0.7 s ✓ StructArrays → StructArraysAdaptExt 1.6 s ✓ StructArrays → StructArraysStaticArraysExt 1.1 s ✓ Accessors → StructArraysExt 1.6 s ✓ MicroCollections 0.8 s ✓ BangBang → BangBangChainRulesCoreExt 0.8 s ✓ BangBang → BangBangStructArraysExt 1.7 s ✓ BangBang → BangBangStaticArraysExt 4.2 s ✓ SciMLOperators 2.8 s ✓ RecursiveArrayTools 5.0 s ✓ StatsBase 75.4 s ✓ DataFrames 8.3 s ✓ KernelAbstractions 4.7 s ✓ Interpolations 3.4 s ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 1.6 s ✓ DiffRules 2.8 s ✓ StatsFuns 0.9 s ✓ Roots → RootsChainRulesCoreExt 12.2 s ✓ ChainRules 6.7 s ✓ Transducers 12.0 s ✓ SciMLBase 5.0 s ✓ BangBang → BangBangDataFramesExt 2.9 s ✓ KernelAbstractions → SparseArraysExt 2.0 s ✓ KernelAbstractions → LinearAlgebraExt 6.6 s ✓ ForwardDiff 2.9 s ✓ StatsFuns → StatsFunsChainRulesCoreExt 1.0 s ✓ StatsFuns → StatsFunsInverseFunctionsExt 10.8 s ✓ Distributions 5.9 s ✓ Transducers → TransducersDataFramesExt 5.8 s ✓ AbstractMCMC 11.8 s ✓ NNlib 2.0 s ✓ ForwardDiff → ForwardDiffStaticArraysExt 1.6 s ✓ LogDensityProblemsAD → LogDensityProblemsADForwardDiffExt 1.2 s ✓ Roots → RootsForwardDiffExt 3.1 s ✓ Interpolations → InterpolationsForwardDiffExt 4.4 s ✓ Distributions → DistributionsTestExt 4.2 s ✓ Distributions → DistributionsDensityInterfaceExt 4.3 s ✓ Distributions → DistributionsChainRulesCoreExt 5.6 s ✓ MCMCDiagnosticTools 7.2 s ✓ AdvancedHMC 5.5 s ✓ AbstractPPL 2.9 s ✓ NNlib → NNlibSpecialFunctionsExt 2.7 s ✓ NNlib → NNlibForwardDiffExt 6.4 s ✓ AdvancedPS 5.6 s ✓ AdvancedMH 5.6 s ✓ EllipticalSliceSampling 5.8 s ✓ KernelDensity 9.2 s ✓ Bijectors 9.4 s ✓ DistributionsAD 10.2 s ✓ Tracker 5.3 s ✓ AdvancedMH → AdvancedMHStructArraysExt 5.4 s ✓ AdvancedMH → AdvancedMHForwardDiffExt 10.6 s ✓ MCMCChains 20.5 s ✓ DynamicPPL 4.8 s ✓ DistributionsAD → DistributionsADForwardDiffExt 4.2 s ✓ Tracker → TrackerPDMatsExt 2.9 s ✓ LogDensityProblemsAD → LogDensityProblemsADTrackerExt 3.7 s ✓ ArrayInterface → ArrayInterfaceTrackerExt 4.0 s ✓ RecursiveArrayTools → RecursiveArrayToolsTrackerExt 8.2 s ✓ DistributionsAD → DistributionsADTrackerExt 13.0 s ✓ MCMCTempering 8.5 s ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt 8.6 s ✓ AdvancedMH → AdvancedMHMCMCChainsExt 6.4 s ✓ AdvancedVI 14.3 s ✓ Turing 220 dependencies successfully precompiled in 694 seconds. 22 already precompiled. Precompilation completed after 712.87s ################################################################################ # Testing # Testing MCMCTempering Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function. Updating `/tmp/jl_vE1VMz/Project.toml` ⌅ [0bf59076] + AdvancedHMC v0.4.6 ⌅ [5b7e9947] + AdvancedMH v0.7.5 ⌅ [76274a88] + Bijectors v0.10.8 [a93c6f00] + DataFrames v1.8.2 ⌃ [31c24e10] ↓ Distributions v0.25.131 ⇒ v0.25.127 ⌅ [f6369f11] + ForwardDiff v0.10.39 [996a588d] + LogDensityProblemsAD v1.13.1 ⌃ [be115224] ↓ MCMCDiagnosticTools v0.3.19 ⇒ v0.3.15 [ce233488] + MCMCTempering v0.3.2 ⌅ [fce5fe82] + Turing v0.24.4 Updating `/tmp/jl_vE1VMz/Manifest.toml` ⌅ [7a57a42e] + AbstractPPL v0.5.4 ⌅ [79e6a3ab] ↓ Adapt v4.7.0 ⇒ 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 v1.1.3 ⌅ [76274a88] + Bijectors v0.10.8 [082447d4] + ChainRules v1.73.0 [9e997f8a] + ChangesOfVariables v0.1.11 [861a8166] + Combinatorics v1.1.0 [bbf7d656] + CommonSubexpressions v0.3.1 [2569d6c7] + ConcreteStructs v0.2.8 [a93c6f00] + DataFrames v1.8.2 ⌅ [864edb3b] ↓ DataStructures v0.19.6 ⇒ v0.18.22 [8bb1440f] + DelimitedFiles v1.9.1 [b429d917] + DensityInterface v0.4.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 ⌃ [31c24e10] ↓ Distributions v0.25.131 ⇒ v0.25.127 [ced4e74d] + DistributionsAD v0.6.58 ⌅ [366bfd00] + DynamicPPL v0.21.6 ⌅ [cad2338a] + EllipticalSliceSampling v1.1.0 [4e289a0a] + EnumX v1.0.7 [e2ba6199] + ExprTools v0.1.11 ⌅ [f6369f11] + ForwardDiff v0.10.39 [069b7b12] + FunctionWrappers v1.1.3 ⌅ [77dc65aa] + FunctionWrappersWrappers v0.1.3 ⌅ [d9f16b24] + Functors v0.3.0 ⌅ [46192b85] + GPUArraysCore v0.1.5 [076d061b] + HashArrayMappedTries v0.2.0 [842dd82b] + InlineStrings v1.4.5 [505f98c9] + InplaceOps v0.3.0 [41ab1584] + InvertedIndices v1.3.1 [63c18a36] + KernelAbstractions v0.9.42 [8ac3fa9e] + LRUCache v1.6.2 [50d2b5c4] + Lazy v0.15.1 ⌅ [6f1fad26] + Libtask v0.8.8 [996a588d] + LogDensityProblemsAD v1.13.1 ⌃ [be115224] ↓ MCMCDiagnosticTools v0.3.19 ⇒ v0.3.15 [ce233488] + MCMCTempering v0.3.2 [dbb5928d] + MappedArrays v0.4.3 ⌃ [872c559c] + NNlib v0.9.31 [77ba4419] + NaNMath v1.1.4 ⌅ [86f7a689] + NamedArrays v0.9.8 ⌃ [3bd65402] + Optimisers v0.2.15 ⌃ [90014a1f] ↓ PDMats v0.11.41 ⇒ v0.11.35 [2dfb63ee] + PooledArrays v1.4.3 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [c1ae055f] + RealDot v0.1.0 ⌅ [731186ca] + RecursiveArrayTools v2.38.10 ⌅ [f2b01f46] ↓ Roots v3.0.7 ⇒ v2.3.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.25 ⌅ [0bca4576] + SciMLBase v1.92.0 ⌅ [c0aeaf25] + SciMLOperators v0.2.12 [7e506255] + ScopedValues v1.6.2 [91c51154] + SentinelArrays v1.4.10 [ce78b400] + SimpleUnPack v1.1.0 [dc90abb0] + SparseInverseSubset v0.1.3 ⌅ [2913bbd2] ↓ StatsBase v0.34.13 ⇒ v0.33.21 ⌃ [09ab397b] + StructArrays v0.6.18 ⌅ [2efcf032] + SymbolicIndexingInterface v0.2.2 [9f7883ad] + Tracker v0.2.38 [410a4b4d] + Tricks v0.1.13 [781d530d] + TruncatedStacktraces v1.4.0 ⌅ [fce5fe82] + Turing v0.24.4 [013be700] + UnsafeAtomics v0.3.2 [700de1a5] + ZygoteRules v0.2.8 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_vE1VMz/Project.toml` ⌅ [80f14c24] AbstractMCMC v4.4.2 ⌅ [0bf59076] AdvancedHMC v0.4.6 ⌅ [5b7e9947] AdvancedMH v0.7.5 ⌅ [76274a88] Bijectors v0.10.8 [a93c6f00] DataFrames v1.8.2 ⌃ [31c24e10] Distributions v0.25.127 [1a297f60] FillArrays v1.17.0 ⌅ [f6369f11] ForwardDiff v0.10.39 [6fdf6af0] LogDensityProblems v2.2.0 [996a588d] LogDensityProblemsAD v1.13.1 ⌅ [c7f686f2] MCMCChains v6.0.7 ⌃ [be115224] MCMCDiagnosticTools v0.3.15 [ce233488] MCMCTempering v0.3.2 [efcf1570] Setfield v1.1.2 [10745b16] Statistics v1.11.1 ⌅ [fce5fe82] Turing v0.24.4 [37e2e46d] LinearAlgebra v1.14.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_vE1VMz/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 ⌅ [80f14c24] AbstractMCMC v4.4.2 ⌅ [7a57a42e] AbstractPPL v0.5.4 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.45 ⌅ [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 v1.1.3 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.8 ⌅ [198e06fe] BangBang v0.3.40 [9718e550] Baselet v0.1.1 ⌅ [76274a88] Bijectors v0.10.8 [082447d4] ChainRules v1.73.0 [d360d2e6] ChainRulesCore v1.26.1 [9e997f8a] ChangesOfVariables v0.1.11 [861a8166] Combinatorics v1.1.0 [38540f10] CommonSolve v0.2.14 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.8 [88cd18e8] ConsoleProgressMonitor v0.1.2 [187b0558] ConstructionBase v1.6.0 [a8cc5b0e] Crayons v4.2.0 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.2 ⌅ [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 v1.16.0 ⌃ [31c24e10] Distributions v0.25.127 [ced4e74d] DistributionsAD v0.6.58 [ffbed154] DocStringExtensions v0.9.5 ⌅ [366bfd00] DynamicPPL v0.21.6 ⌅ [cad2338a] EllipticalSliceSampling v1.1.0 [4e289a0a] EnumX v1.0.7 [e2ba6199] ExprTools v0.1.11 [b86e33f2] FFTA v0.3.1 [1a297f60] FillArrays v1.17.0 ⌅ [f6369f11] ForwardDiff v0.10.39 [069b7b12] FunctionWrappers v1.1.3 ⌅ [77dc65aa] FunctionWrappersWrappers v0.1.3 ⌅ [d9f16b24] Functors v0.3.0 ⌅ [46192b85] GPUArraysCore v0.1.5 ⌃ [a0844989] Gamma v1.1.0 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.30 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.5 [505f98c9] InplaceOps v0.3.0 [18e54dd8] IntegerMathUtils v0.1.4 [a98d9a8b] Interpolations v0.16.3 [8197267c] IntervalSets v0.7.14 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.8.0 [63c18a36] KernelAbstractions v0.9.42 [5ab0869b] KernelDensity v0.6.12 [8ac3fa9e] LRUCache v1.6.2 [b964fa9f] LaTeXStrings v1.4.1 [50d2b5c4] Lazy v0.15.1 [1d6d02ad] LeftChildRightSiblingTrees v0.3.0 ⌅ [6f1fad26] Libtask v0.8.8 [6fdf6af0] LogDensityProblems v2.2.0 [996a588d] LogDensityProblemsAD v1.13.1 ⌅ [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 ⌅ [c7f686f2] MCMCChains v6.0.7 ⌃ [be115224] MCMCDiagnosticTools v0.3.15 [ce233488] MCMCTempering v0.3.2 [e80e1ace] MLJModelInterface v1.12.1 [1914dd2f] MacroTools v0.5.16 [dbb5928d] MappedArrays v0.4.3 ⌅ [128add7d] MicroCollections v0.1.4 [e1d29d7a] Missings v1.2.0 [46d2c3a1] MuladdMacro v0.2.7 ⌃ [872c559c] NNlib v0.9.31 [77ba4419] NaNMath v1.1.4 ⌅ [86f7a689] NamedArrays v0.9.8 [c020b1a1] NaturalSort v1.0.0 [6fe1bfb0] OffsetArrays v1.17.0 ⌃ [3bd65402] Optimisers v0.2.15 ⌅ [bac558e1] OrderedCollections v1.8.2 ⌃ [90014a1f] PDMats v0.11.35 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 ⌅ [08abe8d2] PrettyTables v2.4.0 [27ebfcd6] Primes v0.5.7 [33c8b6b6] ProgressLogging v0.1.6 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.4.0 [1fd47b50] QuadGK v2.11.3 [74087812] Random123 v1.7.1 [e6cf234a] RandomNumbers v1.6.0 [b3c3ace0] RangeArrays v0.3.2 [c84ed2f1] Ratios v0.4.5 [c1ae055f] RealDot v0.1.0 [3cdcf5f2] RecipesBase v1.3.4 ⌅ [731186ca] RecursiveArrayTools v2.38.10 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 ⌅ [f2b01f46] Roots v2.3.0 [7e49a35a] RuntimeGeneratedFunctions v0.5.25 ⌅ [0bca4576] SciMLBase v1.92.0 ⌅ [c0aeaf25] SciMLOperators v0.2.12 [30f210dd] ScientificTypesBase v3.1.0 [7e506255] ScopedValues v1.6.2 [91c51154] SentinelArrays v1.4.10 [efcf1570] Setfield v1.1.2 [ce78b400] SimpleUnPack v1.1.0 [a2af1166] SortingAlgorithms v1.2.3 [dc90abb0] SparseInverseSubset v0.1.3 [276daf66] SpecialFunctions v2.9.0 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.19 [1e83bf80] StaticArraysCore v1.4.4 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 ⌅ [2913bbd2] StatsBase v0.33.21 ⌅ [4c63d2b9] StatsFuns v1.5.2 ⌅ [892a3eda] StringManipulation v0.4.7 ⌃ [09ab397b] StructArrays v0.6.18 ⌅ [2efcf032] SymbolicIndexingInterface v0.2.2 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.14.0 [5d786b92] TerminalLoggers v0.1.8 [9f7883ad] Tracker v0.2.38 ⌃ [28d57a85] Transducers v0.4.80 [410a4b4d] Tricks v0.1.13 [781d530d] TruncatedStacktraces v1.4.0 ⌅ [fce5fe82] Turing v0.24.4 [013be700] UnsafeAtomics v0.3.2 [efce3f68] WoodburyMatrices v1.1.0 [700de1a5] ZygoteRules v0.2.8 [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 [8ba89e20] Distributed v1.12.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.14.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.5.7+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 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... WARNING: Method definition (::Main.StateHistoryCallback{A, F})(Any, Any) in module Main at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/utils.jl:17 overwritten at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/utils.jl:21. The temperature was sorted to ensure decreasing order. ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 464.923 │ :param_1 => 437.304 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 380.481 └ :param_1 => 403.019 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 464.923 │ :param_1 => 437.304 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 516.492 └ :param_1 => 695.602 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 464.923 │ :param_1 => 437.304 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 519.958 └ :param_1 => 306.062 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 464.923 │ :param_1 => 437.304 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 344.186 └ :param_1 => 306.433 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 464.923 │ :param_1 => 437.304 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :param_2 => 420.081 └ :param_1 => 525.855 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1430.63 │ :s => 1659.62 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1238.35 └ :s => 1668.36 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 1430.63 │ :s => 1659.62 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 2455.93 └ :s => 2464.45 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 191.999 │ :s => 338.056 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 250.038 └ :s => 408.815 ┌ Info: │ ess = │ Dict{Symbol, Float64} with 2 entries: │ :m => 191.999 │ :s => 338.056 │ ess_tempered = │ Dict{Symbol, Float64} with 2 entries: │ :m => 854.796 └ :s => 1147.24 MCMCTempering.MultiModel{Tuple{LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}}}((LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}(DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}(MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}( dim: 2 μ: Ones(2) Σ: [1.0 0.0; 0.0 1.0] ) )), LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}(DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}(MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}( dim: 2 μ: Ones(2) Σ: [1.0 0.0; 0.0 1.0] ) )))): Test Failed at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:146 Expression: map(first, params_and_logp_initial) == params_multi_initial Evaluated: ([-0.8261386878312923, 0.9952406533306153], [0.14043730950991157, 0.8506301493784426]) == [[-0.8261386878312923, 0.9952406533306153], [0.14043730950991157, 0.8506301493784426]] Stacktrace: [1] top-level scope @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:2 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [3] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:119 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [5] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:120 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [7] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:146 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:784 [inlined] MCMCTempering.MultiModel{Tuple{LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}}}((LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}(DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}(MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}( dim: 2 μ: Ones(2) Σ: [1.0 0.0; 0.0 1.0] ) )), LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}(DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}(MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}( dim: 2 μ: Ones(2) Σ: [1.0 0.0; 0.0 1.0] ) )))): Test Failed at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:147 Expression: map(last, params_and_logp_initial) == logp_multi_initial Evaluated: (-3.505279645696802, -2.2184567519879783) == [-3.505279645696802, -2.2184567519879783] Stacktrace: [1] top-level scope @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:2 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [3] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:119 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [5] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:120 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [7] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:147 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:784 [inlined] MCMCTempering.MultiModel{Tuple{LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}}}((LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}(DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}(MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}( dim: 2 μ: Ones(2) Σ: [1.0 0.0; 0.0 1.0] ) )), LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}(DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}(MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}( dim: 2 μ: Ones(2) Σ: [1.0 0.0; 0.0 1.0] ) )))): Test Failed at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:164 Expression: map(first, params_and_logp) == params_multi Evaluated: ([-1.7872525096910408, 0.5226041317860293], [2.52039228720436, 1.9927749850943897]) == [[-1.7872525096910408, 0.5226041317860293], [2.52039228720436, 1.9927749850943897]] Stacktrace: [1] top-level scope @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:2 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [3] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:119 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [5] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:120 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [7] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:164 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:784 [inlined] MCMCTempering.MultiModel{Tuple{LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}}}((LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}(DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}(MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}( dim: 2 μ: Ones(2) Σ: [1.0 0.0; 0.0 1.0] ) )), LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}(DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}(MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}( dim: 2 μ: Ones(2) Σ: [1.0 0.0; 0.0 1.0] ) )))): Test Failed at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:165 Expression: map(last, params_and_logp) == logp_multi Evaluated: (-5.836218750292734, -3.486474505419181) == [-5.836218750292734, -3.486474505419181] Stacktrace: [1] top-level scope @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:2 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [3] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:119 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [5] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:120 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [7] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/abstractmcmc.jl:165 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:784 [inlined] chain 1: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 2: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 3: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 4: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 5: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 6: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 7: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 8: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 9: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 10: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 11: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 1: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 2: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 3: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 4: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 5: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 6: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 7: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 8: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 9: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 10: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 11: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 1: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 2: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 3: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 4: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 5: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 6: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 7: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 8: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 9: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 10: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 11: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 1: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 2: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 3: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 4: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 5: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 6: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 7: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 8: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 9: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 10: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 chain 11: Error During Test at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:121 Got exception outside of a @test MethodError: no method matching reducedim1(::Array{Float64, 3}, ::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, means::Array{Float64, 3}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Array{Float64, 3}, A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, m::Array{Float64, 3}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] _std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}, corrected::Bool, mean::Nothing, dims::Tuple{Int64, Int64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:469 [8] std(A::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), 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::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:50 [10] _mcse(::typeof(mean), samples::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:45 [inlined] [11] mcse(x::PermutedDimsArray{Float64, 3, (1, 3, 2), (1, 3, 2), Array{Float64, 3}}; kind::typeof(mean), kwargs::@Kwargs{}) @ MCMCDiagnosticTools ~/.julia/packages/MCMCDiagnosticTools/x6KGX/src/mcse.jl:41 [inlined] [12] mcse(chains::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{}}; sections::Symbol, kwargs::@Kwargs{kind::typeof(mean)}) @ MCMCChains ~/.julia/packages/MCMCChains/RIFg4/src/mcse.jl:14 [13] atol_for_chain(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{}}; significance::Float64, kind::Function) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:29 [14] atol_for_chain(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{}}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:24 [inlined] [15] test_means(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{}}, mean_true::Dict{Symbol, Float64}; n::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:50 [16] test_means(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{}}, mean_true::Dict{Symbol, Float64}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:48 [inlined] [17] test_means(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{}}, mean_true::Float64; kwargs::@Kwargs{}) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:46 [inlined] [18] test_means(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{}}, mean_true::Float64) @ Main ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:45 [inlined] [19] macro expansion @ ~/.julia/packages/MCMCTempering/movdr/test/test_utils.jl:122 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2328 [inlined] [21] 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 Error Total Time MCMCTempering.jl | 1429 4 44 1477 5m28.8s Swapping | 34 34 1.9s Simple MvNormal with no expected swaps | 9 9 25.3s GMM 1D | 9 9 8.6s MvNormal 2D with different swap strategies | 53 53 52.0s Turing.jl | 26 26 2m02.8s AbstractMCMC | 1258 4 1262 56.5s CompositionSampler(.., saveall=true) | 205 205 5.6s CompositionSampler(.., saveall=false) | 105 105 0.2s CompositionSampler(.., saveall=Val{true}()) | 205 205 2.1s CompositionSampler(.., saveall=Val{false}()) | 105 105 1.7s RepeatedSampler(..., saveall=true) | 204 204 2.3s RepeatedSampler(..., saveall=false) | 104 104 0.2s RepeatedSampler(..., saveall=Val{true}()) | 204 204 1.8s RepeatedSampler(..., saveall=Val{false}()) | 104 104 1.7s MultiSampler | 11 4 15 23.5s MCMCTempering.MultiModel{Tuple{LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}}}((LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}(DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}(MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}( dim: 2 μ: Ones(2) Σ: [1.0 0.0; 0.0 1.0] ) )), LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}(DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}(MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}( dim: 2 μ: Ones(2) Σ: [1.0 0.0; 0.0 1.0] ) )))) | 1 4 5 18.5s MCMCTempering.MultiModel{Vector{LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}}}(LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}[LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}(DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}(MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}( dim: 2 μ: Ones(2) Σ: [1.0 0.0; 0.0 1.0] ) )), LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}(DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}(MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}( dim: 2 μ: Ones(2) Σ: [1.0 0.0; 0.0 1.0] ) ))]) | 5 5 2.0s MCMCTempering.MultiModel{Base.Generator{Vector{LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}}, typeof(identity)}}(Base.Generator{Vector{LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}}, typeof(identity)}(identity, LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}[LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}(DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}(MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}( dim: 2 μ: Ones(2) Σ: [1.0 0.0; 0.0 1.0] ) )), LogDensityModel{DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}(DistributionLogDensity{MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}}(MvNormal{Float64, PDMats.ScalMat{Float64}, Ones{Float64, 1, Tuple{Base.OneTo{Int64}}}}( dim: 2 μ: Ones(2) Σ: [1.0 0.0; 0.0 1.0] ) ))])) | 5 5 1.7s SwapSampler | 10 10 17.1s Simple tempered Gaussian (closed form) | 40 44 84 1m01.3s TemperedSampler | 10 11 21 32.8s chain 1 | 1 1 14.3s chain 2 | 1 1 0.1s chain 3 | 1 1 0.1s chain 4 | 1 1 0.1s chain 5 | 1 1 0.1s chain 6 | 1 1 0.1s chain 7 | 1 1 0.1s chain 8 | 1 1 0.1s chain 9 | 1 1 0.1s chain 10 | 1 1 0.2s chain 11 | 1 1 0.1s MultiSampler without swapping | 10 11 21 14.8s chain 1 | 1 1 0.1s chain 2 | 1 1 0.1s chain 3 | 1 1 0.1s chain 4 | 1 1 0.1s chain 5 | 1 1 0.1s chain 6 | 1 1 0.1s chain 7 | 1 1 0.1s chain 8 | 1 1 0.1s chain 9 | 1 1 0.1s chain 10 | 1 1 7.7s chain 11 | 1 1 0.1s MultiSampler with swapping (saveall=true) | 10 11 21 6.4s chain 1 | 1 1 0.1s chain 2 | 1 1 0.1s chain 3 | 1 1 0.1s chain 4 | 1 1 0.1s chain 5 | 1 1 0.1s chain 6 | 1 1 0.1s chain 7 | 1 1 0.1s chain 8 | 1 1 0.1s chain 9 | 1 1 0.1s chain 10 | 1 1 0.1s chain 11 | 1 1 0.1s MultiSampler with swapping (saveall=true) | 10 11 21 6.7s chain 1 | 1 1 0.1s chain 2 | 1 1 0.1s chain 3 | 1 1 0.1s chain 4 | 1 1 0.1s chain 5 | 1 1 0.1s chain 6 | 1 1 0.1s chain 7 | 1 1 0.1s chain 8 | 1 1 0.2s chain 9 | 1 1 0.1s chain 10 | 1 1 1.4s chain 11 | 1 1 0.1s RNG of the outermost testset: Random.Xoshiro(0x642487afbbcf343e, 0x0b9cd1ed4b1a225f, 0x78e38723c764461c, 0x15dae6c6a4cfb34f, 0x7c68f09903c0e110) ERROR: LoadError: Some tests did not pass: 1429 passed, 4 failed, 44 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/MCMCTempering/movdr/test/runtests.jl:186 Testing failed after 365.58s ERROR: LoadError: Package MCMCTempering errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl: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 1185.32s: package tests unexpectedly errored