Package evaluation to test InferenceObjects on Julia 1.12.4 (0f21d93eaa*) started at 2026-01-26T20:04:06.606 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.12` Set-up completed after 9.3s ################################################################################ # Installation # Installing InferenceObjects... Resolving package versions... Installed DataValueInterfaces ───────── v1.0.0 Installed ANSIColoredPrinters ───────── v0.0.1 Installed Requires ──────────────────── v1.3.1 Installed ConstructionBase ──────────── v1.6.0 Installed DataAPI ───────────────────── v1.16.0 Installed Adapt ─────────────────────── v4.4.0 Installed Tables ────────────────────── v1.12.1 Installed OrderedCollections ────────── v1.8.1 Installed InvertedIndices ───────────── v1.3.1 Installed Extents ───────────────────── v0.1.6 Installed RecipesBase ───────────────── v1.3.4 Installed IntervalSets ──────────────── v0.7.13 Installed InferenceObjects ──────────── v0.4.14 Installed Interfaces ────────────────── v0.3.2 Installed ArrayInterface ────────────── v7.22.0 Installed Statistics ────────────────── v1.11.1 Installed TableTraits ───────────────── v1.0.1 Installed IteratorInterfaceExtensions ─ v1.0.0 Installed DimensionalData ───────────── v0.29.25 Installed Preferences ───────────────── v1.5.1 Installed PrecompileTools ───────────── v1.3.3 Updating `~/.julia/environments/v1.12/Project.toml` [b5cf5a8d] + InferenceObjects v0.4.14 Updating `~/.julia/environments/v1.12/Manifest.toml` [a4c015fc] + ANSIColoredPrinters v0.0.1 [79e6a3ab] + Adapt v4.4.0 [4fba245c] + ArrayInterface v7.22.0 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [e2d170a0] + DataValueInterfaces v1.0.0 [0703355e] + DimensionalData v0.29.25 [411431e0] + Extents v0.1.6 [b5cf5a8d] + InferenceObjects v0.4.14 [85a1e053] + Interfaces v0.3.2 [8197267c] + IntervalSets v0.7.13 [41ab1584] + InvertedIndices v1.3.1 [82899510] + IteratorInterfaceExtensions v1.0.0 [bac558e1] + OrderedCollections v1.8.1 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [3cdcf5f2] + RecipesBase v1.3.4 [ae029012] + Requires v1.3.1 [10745b16] + Statistics v1.11.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [56f22d72] + Artifacts v1.11.0 [ade2ca70] + Dates v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.29+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 5.41s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 4020.0 ms ✓ TestEnv 1 dependency successfully precompiled in 4 seconds. 26 already precompiled. Precompiling package dependencies... Precompiling packages... 1219.1 ms ✓ MuladdMacro 945.2 ms ✓ ScientificTypesBase 1078.8 ms ✓ AbstractFFTs 880.1 ms ✓ LaTeXStrings 1098.2 ms ✓ PositiveFactorizations 690.0 ms ✓ IteratorInterfaceExtensions 3304.1 ms ✓ UnsafeAtomics 796.6 ms ✓ StatsAPI 1187.5 ms ✓ ADTypes 1258.1 ms ✓ InitialValues 797.4 ms ✓ ANSIColoredPrinters 1237.6 ms ✓ OffsetArrays 636.3 ms ✓ UnPack 2271.0 ms ✓ FillArrays 976.6 ms ✓ IntegerMathUtils 887.9 ms ✓ InverseFunctions 1378.8 ms ✓ Statistics 878.1 ms ✓ CommonSolve 754.6 ms ✓ PrettyPrint 658.1 ms ✓ ArgCheck 2776.4 ms ✓ ShowCases 870.1 ms ✓ IterTools 5322.4 ms ✓ MacroTools 3498.3 ms ✓ OrderedCollections 1444.9 ms ✓ Requires 879.6 ms ✓ DataValueInterfaces 1233.5 ms ✓ EnumX 983.3 ms ✓ Reexport 1178.6 ms ✓ DocStringExtensions 5356.3 ms ✓ IrrationalConstants 1187.2 ms ✓ IntervalSets 1177.9 ms ✓ URIs 731.8 ms ✓ SimpleBufferStream 765.8 ms ✓ CompositionsBase 977.0 ms ✓ Extents 890.2 ms ✓ Interfaces 730.7 ms ✓ PtrArrays 1183.9 ms ✓ TranscodingStreams 862.2 ms ✓ HashArrayMappedTries 776.1 ms ✓ DefineSingletons 3559.8 ms ✓ NaNMath 4216.6 ms ✓ BSON 1183.1 ms ✓ LearnAPI 944.0 ms ✓ DelimitedFiles 802.6 ms ✓ InvertedIndices 25006.0 ms ✓ MLStyle 938.6 ms ✓ LRUCache 3683.8 ms ✓ ConstructionBase 1012.2 ms ✓ DataAPI 4917.0 ms ✓ Crayons 818.9 ms ✓ BitFlags 940.7 ms ✓ ComputationalResources 1125.6 ms ✓ StaticArraysCore 2458.0 ms ✓ Baselet 2902.5 ms ✓ ConcurrentUtilities 2115.5 ms ✓ ProgressMeter 1935.8 ms ✓ PDMats 1559.4 ms ✓ WoodburyMatrices 4641.7 ms ✓ StructTypes 2381.5 ms ✓ CFTime 856.3 ms ✓ Scratch 1028.9 ms ✓ LoggingExtras 1085.2 ms ✓ Preferences 3837.5 ms ✓ Compat 1642.1 ms ✓ ExceptionUnwrapping 877.5 ms ✓ StatisticalTraits 4380.0 ms ✓ AbstractFFTs → AbstractFFTsTestExt 843.4 ms ✓ TableTraits 1155.4 ms ✓ Atomix 4590.8 ms ✓ DifferentiationInterface 1468.2 ms ✓ FillArrays → FillArraysSparseArraysExt 1256.6 ms ✓ Primes 2049.2 ms ✓ InverseFunctions → InverseFunctionsTestExt 822.5 ms ✓ InverseFunctions → InverseFunctionsDatesExt 6219.7 ms ✓ FixedPointNumbers 1441.9 ms ✓ Statistics → SparseArraysExt 899.5 ms ✓ FillArrays → FillArraysStatisticsExt 907.1 ms ✓ NameResolution 1584.2 ms ✓ CommonSubexpressions 2976.9 ms ✓ SimpleTraits 3749.6 ms ✓ DataStructures 989.4 ms ✓ Parameters 835.2 ms ✓ Ratios 1609.7 ms ✓ Adapt 2076.9 ms ✓ LogExpFunctions 1037.5 ms ✓ IntervalSets → IntervalSetsRandomExt 941.3 ms ✓ IntervalSets → IntervalSetsStatisticsExt 1110.4 ms ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 1010.6 ms ✓ AliasTables 905.8 ms ✓ CodecZlib 1386.5 ms ✓ ScopedValues 1075.5 ms ✓ LRUCache → SerializationExt 800.6 ms ✓ ConstructionBase → ConstructionBaseIntervalSetsExt 1276.6 ms ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 1062.5 ms ✓ ADTypes → ADTypesConstructionBaseExt 3796.6 ms ✓ Missings 4880.5 ms ✓ OpenSSL 838.1 ms ✓ DiffResults 2187.4 ms ✓ FillArrays → FillArraysPDMatsExt 1619.6 ms ✓ AxisAlgorithms 1666.1 ms ✓ JLLWrappers 1453.3 ms ✓ MPIPreferences 1487.8 ms ✓ PrecompileTools 1204.9 ms ✓ Compat → CompatLinearAlgebraExt 2840.4 ms ✓ MLJModelInterface 3692.8 ms ✓ Tables 1124.5 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 2432.9 ms ✓ FFTA 4368.6 ms ✓ ColorTypes 10963.7 ms ✓ JuliaVariables 1261.4 ms ✓ SortingAlgorithms 5112.6 ms ✓ QuadGK 1003.2 ms ✓ Ratios → RatiosFixedPointNumbersExt 1413.0 ms ✓ Adapt → AdaptSparseArraysExt 3649.9 ms ✓ ArrayInterface 1175.3 ms ✓ GPUArraysCore 799.2 ms ✓ OffsetArrays → OffsetArraysAdaptExt 758.1 ms ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 2923.7 ms ✓ DiskArrays 2822.7 ms ✓ Setfield 7668.8 ms ✓ Accessors 6878.1 ms ✓ CategoricalArrays 1276.1 ms ✓ Bzip2_jll 1398.6 ms ✓ Lz4_jll 1898.1 ms ✓ Xorg_libpciaccess_jll 1584.0 ms ✓ libaec_jll 1817.1 ms ✓ Rmath_jll 4406.0 ms ✓ IntelOpenMP_jll 1303.6 ms ✓ EarCut_jll 1344.5 ms ✓ XZ_jll 4372.3 ms ✓ oneTBB_jll 1356.5 ms ✓ MbedTLS_jll 1375.5 ms ✓ Zstd_jll 1214.7 ms ✓ MicrosoftMPI_jll 1355.6 ms ✓ Libiconv_jll 1361.8 ms ✓ FFTW_jll 1549.4 ms ✓ OpenSpecFun_jll 4759.8 ms ✓ MPItrampoline_jll 13723.2 ms ✓ StaticArrays 2166.4 ms ✓ RecipesBase 3143.0 ms ✓ StringManipulation 15152.1 ms ✓ Parsers 3579.6 ms ✓ ChainRulesCore 811.3 ms ✓ ContextVariablesX 3577.4 ms ✓ MLCore 1041.7 ms ✓ ColorTypes → StyledStringsExt 4938.8 ms ✓ StatsBase 863.0 ms ✓ ArrayInterface → ArrayInterfaceSparseArraysExt 543.7 ms ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 555.5 ms ✓ DifferentiationInterface → DifferentiationInterfaceGPUArraysCoreExt 572.9 ms ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt 2637.2 ms ✓ CommonDataModel 2744.8 ms ✓ SplittablesBase 1420.5 ms ✓ Accessors → LinearAlgebraExt 1192.5 ms ✓ Accessors → TestExt 1449.2 ms ✓ Accessors → IntervalSetsExt 807.3 ms ✓ CategoricalArrays → CategoricalArraysStructTypesExt 1404.1 ms ✓ Rmath 9335.1 ms ✓ MKL_jll 1983.1 ms ✓ MbedTLS 1288.2 ms ✓ Blosc_jll 1311.2 ms ✓ libzip_jll 1247.5 ms ✓ XML2_jll 5103.5 ms ✓ SpecialFunctions 1217.9 ms ✓ StaticArrays → StaticArraysStatisticsExt 1358.3 ms ✓ FillArrays → FillArraysStaticArraysExt 1295.7 ms ✓ ConstructionBase → ConstructionBaseStaticArraysExt 1262.1 ms ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt 1278.4 ms ✓ Adapt → AdaptStaticArraysExt 1415.4 ms ✓ Accessors → StaticArraysExt 25528.2 ms ✓ GeometryBasics 1265.4 ms ✓ IntervalSets → IntervalSetsRecipesBaseExt 2473.9 ms ✓ PSIS 3377.2 ms ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 32712.8 ms ✓ PrettyTables 17938.5 ms ✓ JSON3 3960.1 ms ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 841.2 ms ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt 816.5 ms ✓ ADTypes → ADTypesChainRulesCoreExt 816.9 ms ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt 3781.3 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 937.2 ms ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt 4008.8 ms ✓ StaticArrays → StaticArraysChainRulesCoreExt 975.3 ms ✓ FLoopsBase 1554.3 ms ✓ PDMats → StatsBaseExt 1274.3 ms ✓ FiniteDiff 9004.3 ms ✓ Roots 2086.8 ms ✓ BangBang 7399.8 ms ✓ FFTW 30510.3 ms ✓ HTTP 1420.9 ms ✓ Hwloc_jll 4230.1 ms ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 2119.5 ms ✓ HypergeometricFunctions 1275.6 ms ✓ DiffRules 10610.1 ms ✓ KernelAbstractions 6771.9 ms ✓ NetworkLayout 28416.6 ms ✓ DimensionalData 6548.9 ms ✓ Interpolations 1140.8 ms ✓ FiniteDiff → FiniteDiffSparseArraysExt 1622.1 ms ✓ FiniteDiff → FiniteDiffStaticArraysExt 865.6 ms ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt 1052.0 ms ✓ Roots → RootsChainRulesCoreExt 1521.5 ms ✓ BangBang → BangBangStaticArraysExt 1097.1 ms ✓ BangBang → BangBangChainRulesCoreExt 1150.5 ms ✓ BangBang → BangBangTablesExt 2283.2 ms ✓ MicroCollections 5846.4 ms ✓ DataDeps 3862.8 ms ✓ OpenMPI_jll 4447.9 ms ✓ MPICH_jll 5292.3 ms ✓ StatsFuns 9469.4 ms ✓ ForwardDiff 2852.4 ms ✓ KernelAbstractions → SparseArraysExt 2429.3 ms ✓ KernelAbstractions → LinearAlgebraExt 1682.5 ms ✓ DimensionalData → DimensionalDataCategoricalArraysExt 2660.4 ms ✓ DimensionalData → DimensionalDataSparseArraysExt 5769.5 ms ✓ DimensionalData → DimensionalDataAbstractFFTsExt 2418.2 ms ✓ DimensionalData → DimensionalDataDiskArraysExt 2356.7 ms ✓ DimensionalData → DimensionalDataChainRulesCoreExt 3159.4 ms ✓ DimensionalData → DimensionalDataStatsBaseExt 2586.6 ms ✓ InferenceObjects 10563.2 ms ✓ Transducers 5538.0 ms ✓ HDF5_jll 1101.1 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt 3818.8 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 10941.6 ms ✓ Distributions 2212.2 ms ✓ ForwardDiff → ForwardDiffStaticArraysExt 4031.7 ms ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 1356.5 ms ✓ Roots → RootsForwardDiffExt 2626.5 ms ✓ Interpolations → InterpolationsForwardDiffExt 14495.4 ms ✓ NNlib 2107.1 ms ✓ Transducers → TransducersAdaptExt 15486.4 ms ✓ FLoops 4809.0 ms ✓ NetCDF_jll 3248.6 ms ✓ Distributions → DistributionsTestExt 5084.4 ms ✓ Distributions → DistributionsChainRulesCoreExt 4385.3 ms ✓ MCMCDiagnosticTools 7415.0 ms ✓ ScientificTypes 12219.8 ms ✓ EvoTrees 2347.7 ms ✓ NLSolversBase 2459.3 ms ✓ NNlib → NNlibSpecialFunctionsExt 2902.4 ms ✓ NNlib → NNlibFFTWExt 2588.1 ms ✓ NNlib → NNlibForwardDiffExt 23146.4 ms ✓ MLUtils 15407.2 ms ✓ NCDatasets 3687.5 ms ✓ KernelDensity 4631.3 ms ✓ InferenceObjects → InferenceObjectsMCMCDiagnosticToolsExt 6815.5 ms ✓ CategoricalDistributions 4709.3 ms ✓ LineSearches 19825.6 ms ✓ StatisticalMeasuresBase 6332.3 ms ✓ InferenceObjects → InferenceObjectsNCDatasetsExt 6458.1 ms ✓ Optim 16837.6 ms ✓ MLJBase 15021.4 ms ✓ ArviZExampleData 10355.7 ms ✓ PosteriorStats 8882.2 ms ✓ InferenceObjects → InferenceObjectsPosteriorStatsExt 255 dependencies successfully precompiled in 929 seconds. 40 already precompiled. 1 dependency had output during precompilation: ┌ MKL_jll │ Downloading artifact: IntelOpenMP │ Downloading artifact: oneTBB └ Precompilation completed after 932.67s ################################################################################ # Testing # Testing InferenceObjects Status `/tmp/jl_OnUYjX/Project.toml` [a4c015fc] ANSIColoredPrinters v0.0.1 ⌅ [2f96bb34] ArviZExampleData v0.1.13 [0703355e] DimensionalData v0.29.25 ⌅ [f6006082] EvoTrees v0.16.9 [b5cf5a8d] InferenceObjects v0.4.14 [be115224] MCMCDiagnosticTools v0.3.15 ⌃ [a7f614a8] MLJBase v1.9.2 [85f8d34a] NCDatasets v0.14.10 [6fe1bfb0] OffsetArrays v1.17.0 [bac558e1] OrderedCollections v1.8.1 [7f36be82] PosteriorStats v0.4.4 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.10 [bd369af6] Tables v1.12.1 [ade2ca70] Dates v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_OnUYjX/Manifest.toml` [47edcb42] ADTypes v1.21.0 [a4c015fc] ANSIColoredPrinters v0.0.1 [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.22.0 ⌅ [2f96bb34] ArviZExampleData v0.1.13 [a9b6321e] Atomix v1.1.2 [13072b0f] AxisAlgorithms v1.1.0 [fbb218c0] BSON v0.3.9 [198e06fe] BangBang v0.4.7 [9718e550] Baselet v0.1.1 [d1d4a3ce] BitFlags v0.1.9 [179af706] CFTime v0.2.5 ⌅ [324d7699] CategoricalArrays v0.10.9 ⌅ [af321ab8] CategoricalDistributions v0.1.15 [d360d2e6] ChainRulesCore v1.26.0 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 [1fbeeb36] CommonDataModel v0.4.2 [38540f10] CommonSolve v0.2.6 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [f0e56b4a] ConcurrentUtilities v2.5.0 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [124859b0] DataDeps v0.7.13 [864edb3b] DataStructures v0.19.3 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.15 [0703355e] DimensionalData v0.29.25 [3c3547ce] DiskArrays v0.4.19 [31c24e10] Distributions v0.25.123 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.6 ⌅ [f6006082] EvoTrees v0.16.9 [460bff9d] ExceptionUnwrapping v0.1.11 [411431e0] Extents v0.1.6 [b86e33f2] FFTA v0.3.1 [7a1cc6ca] FFTW v1.10.0 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [1a297f60] FillArrays v1.16.0 [6a86dc24] FiniteDiff v2.29.0 [53c48c17] FixedPointNumbers v0.8.5 [f6369f11] ForwardDiff v1.3.1 [46192b85] GPUArraysCore v0.2.0 [5c1252a2] GeometryBasics v0.5.10 [cd3eb016] HTTP v1.10.19 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [b5cf5a8d] InferenceObjects v0.4.14 [22cec73e] InitialValues v0.3.1 [18e54dd8] IntegerMathUtils v0.1.3 [85a1e053] Interfaces v0.3.2 [a98d9a8b] Interpolations v0.16.2 [8197267c] IntervalSets v0.7.13 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [0f8b85d8] JSON3 v1.14.3 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.39 [5ab0869b] KernelDensity v0.6.11 [8ac3fa9e] LRUCache v1.6.2 [b964fa9f] LaTeXStrings v1.4.0 ⌅ [92ad9a40] LearnAPI v1.0.1 ⌃ [d3d80556] LineSearches v7.5.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 [be115224] MCMCDiagnosticTools v0.3.15 [c2834f40] MLCore v1.0.0 ⌃ [a7f614a8] MLJBase v1.9.2 [e80e1ace] MLJModelInterface v1.12.1 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [3da0fdf6] MPIPreferences v0.1.11 [1914dd2f] MacroTools v0.5.16 [739be429] MbedTLS v1.1.9 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [46d2c3a1] MuladdMacro v0.2.4 [85f8d34a] NCDatasets v0.14.10 ⌅ [d41bc354] NLSolversBase v7.10.0 [872c559c] NNlib v0.9.33 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 [46757867] NetworkLayout v0.4.10 [6fe1bfb0] OffsetArrays v1.17.0 [4d8831e6] OpenSSL v1.6.1 ⌅ [429524aa] Optim v1.13.3 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.37 [ce719bf2] PSIS v0.9.8 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [85a6dd25] PositiveFactorizations v0.2.4 [7f36be82] PosteriorStats v0.4.4 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.1 [8162dcfd] PrettyPrint v0.2.0 ⌅ [08abe8d2] PrettyTables v2.4.0 [27ebfcd6] Primes v0.5.7 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [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 v2.2.10 ⌃ [321657f4] ScientificTypes v3.1.1 [30f210dd] ScientificTypesBase v3.0.0 [7e506255] ScopedValues v1.5.0 [6c6a2e73] Scratch v1.3.0 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [777ac1f9] SimpleBufferStream v1.2.0 [699a6c99] SimpleTraits v0.9.5 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.6.1 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.16 [1e83bf80] StaticArraysCore v1.4.4 [c062fc1d] StatisticalMeasuresBase v0.1.3 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.10 [4c63d2b9] StatsFuns v1.5.2 [892a3eda] StringManipulation v0.4.2 [856f2bd8] StructTypes v1.11.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.85 [5c2747f8] URIs v1.6.1 [3a884ed6] UnPack v1.0.2 [013be700] UnsafeAtomics v0.3.0 [efce3f68] WoodburyMatrices v1.1.0 [0b7ba130] Blosc_jll v1.21.7+0 [6e34b625] Bzip2_jll v1.0.9+0 [5ae413db] EarCut_jll v2.2.4+0 [f5851436] FFTW_jll v3.3.11+0 ⌅ [0234f1f7] HDF5_jll v1.14.6+0 [e33a78d0] Hwloc_jll v2.12.2+0 [1d5cc7b8] IntelOpenMP_jll v2025.2.0+0 [94ce4f54] Libiconv_jll v1.18.0+0 [5ced341a] Lz4_jll v1.10.1+0 [856f044c] MKL_jll v2025.2.0+0 [7cb0a576] MPICH_jll v4.3.2+0 [f1f71cc9] MPItrampoline_jll v5.5.4+0 [c8ffd9c3] MbedTLS_jll v2.28.1010+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [7243133f] NetCDF_jll v401.900.300+0 [fe0851c0] OpenMPI_jll v5.0.9+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 ⌅ [02c8fc9c] XML2_jll v2.13.9+0 [ffd25f8a] XZ_jll v5.8.2+0 [a65dc6b1] Xorg_libpciaccess_jll v0.18.1+0 [3161d3a3] Zstd_jll v1.5.7+1 [477f73a3] libaec_jll v1.1.5+0 [337d8026] libzip_jll v1.11.3+0 [1317d2d5] oneTBB_jll v2022.0.0+1 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.12.1 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.15.0+0 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.11.4 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.7.0+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: (Dim{:dima}, Dim{:dimb}) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/FWnw9/src/Dimensions/primitives.jl:852 ┌ Warning: (Dim{:dima}, Dim{:dimb}) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/FWnw9/src/Dimensions/primitives.jl:852 ┌ Warning: (Dim{:dimy},) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/FWnw9/src/Dimensions/primitives.jl:852 ┌ Warning: (Dim{:dimy},) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/FWnw9/src/Dimensions/primitives.jl:852 ┌ Warning: (Dim{:dimb},) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/FWnw9/src/Dimensions/primitives.jl:852 ┌ Warning: (Dim{:dimb},) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/FWnw9/src/Dimensions/primitives.jl:852 to_netcdf/from_netcdf roundtrip: Error During Test at /home/pkgeval/.julia/packages/InferenceObjects/DDeod/test/test_helpers.jl:80 Test threw exception Expression: da1 ≈ da2 MethodError: no method matching OffsetArray(::Float64, ::CartesianIndices{0, Tuple{}}) The type `OffsetArray` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: OffsetArray(!Matched::AbstractArray, ::Any...; kw...) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:207 OffsetArray(!Matched::AbstractArray, !Matched::OffsetArrays.Origin; checkoverflow) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:210 OffsetArray(!Matched::OffsetArray, !Matched::Tuple{Vararg{Int64}}; checkoverflow) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:179 ... Stacktrace: [1] _iterate_disk(a::CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}) @ DiskArrays ~/.julia/packages/DiskArrays/uMiMX/src/iterator.jl:104 [2] iterate @ ~/.julia/packages/DiskArrays/uMiMX/src/iterator.jl:112 [inlined] [3] iterate @ ~/.julia/packages/DimensionalData/FWnw9/src/array/array.jl:107 [inlined] [4] norm_recursive_check(itr::DimArray{Float64, 0, Tuple{}, Tuple{}, CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, Symbol, NoMetadata}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.12/LinearAlgebra/src/generic.jl:714 [5] norm @ /opt/julia/share/julia/stdlib/v1.12/LinearAlgebra/src/generic.jl:710 [inlined] [6] isapprox(x::DimArray{Float64, 0, Tuple{}, Tuple{}, Array{Float64, 0}, Symbol, NoMetadata}, y::DimArray{Float64, 0, Tuple{}, Tuple{}, CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, Symbol, NoMetadata}; atol::Int64, rtol::Float64, nans::Bool, norm::typeof(LinearAlgebra.norm)) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.12/LinearAlgebra/src/generic.jl:1987 [7] isapprox(x::DimArray{Float64, 0, Tuple{}, Tuple{}, Array{Float64, 0}, Symbol, NoMetadata}, y::DimArray{Float64, 0, Tuple{}, Tuple{}, CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, Symbol, NoMetadata}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.12/LinearAlgebra/src/generic.jl:1981 [8] eval_test(evaluated::Expr, quoted::Expr, source::LineNumberNode, negate::Bool) @ Test /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:363 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:677 [inlined] [10] test_idata_approx_equal(idata1::InferenceData{(:posterior, :posterior_predictive, :sample_stats, :prior, :prior_predictive, :observed_data), Tuple{Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:dimb, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Bool, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::Matrix{Bool}, energy::Matrix{Float64}, n_steps::Matrix{Int64}}, DimStack{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Bool, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::Matrix{Bool}, energy::Matrix{Float64}, n_steps::Matrix{Int64}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata, NoMetadata}}}, Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:dimb, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::Matrix{Float64}, v::Array{Float64, 0}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::Matrix{Float64}, v::Array{Float64, 0}}, Tuple{Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}}}, idata2::InferenceData{(:posterior, :posterior_predictive, :sample_stats, :prior, :prior_predictive, :observed_data), Tuple{Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, NoLookup{Base.OneTo{Int64}}}, Dim{:dimb, Sampled{Int64, Vector{Int64}, ForwardOrdered, Irregular{Tuple{Nothing, Nothing}}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Int8, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::CommonDataModel.CFVariable{Int8, 2, NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, energy::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, n_steps::CommonDataModel.CFVariable{Int64, 2, NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Int8, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::CommonDataModel.CFVariable{Int8, 2, NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, energy::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, n_steps::CommonDataModel.CFVariable{Int64, 2, NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{CommonDataModel.Attributes{NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, NoMetadata, NoMetadata}}}, Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, NoLookup{Base.OneTo{Int64}}}, Dim{:dimb, Sampled{Int64, Vector{Int64}, ForwardOrdered, Irregular{Tuple{Nothing, Nothing}}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}}}; check_metadata::Bool, check_eltypes::Bool) @ Main ~/.julia/packages/InferenceObjects/DDeod/test/test_helpers.jl:80 to_netcdf/from_netcdf roundtrip: Error During Test at /home/pkgeval/.julia/packages/InferenceObjects/DDeod/test/test_helpers.jl:80 Test threw exception Expression: da1 ≈ da2 MethodError: no method matching OffsetArray(::Float64, ::CartesianIndices{0, Tuple{}}) The type `OffsetArray` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: OffsetArray(!Matched::AbstractArray, ::Any...; kw...) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:207 OffsetArray(!Matched::AbstractArray, !Matched::OffsetArrays.Origin; checkoverflow) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:210 OffsetArray(!Matched::OffsetArray, !Matched::Tuple{Vararg{Int64}}; checkoverflow) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:179 ... Stacktrace: [1] _iterate_disk(a::CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}) @ DiskArrays ~/.julia/packages/DiskArrays/uMiMX/src/iterator.jl:104 [2] iterate @ ~/.julia/packages/DiskArrays/uMiMX/src/iterator.jl:112 [inlined] [3] iterate @ ~/.julia/packages/DimensionalData/FWnw9/src/array/array.jl:107 [inlined] [4] norm_recursive_check(itr::DimArray{Float64, 0, Tuple{}, Tuple{}, CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, Symbol, NoMetadata}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.12/LinearAlgebra/src/generic.jl:714 [5] norm @ /opt/julia/share/julia/stdlib/v1.12/LinearAlgebra/src/generic.jl:710 [inlined] [6] isapprox(x::DimArray{Float64, 0, Tuple{}, Tuple{}, Array{Float64, 0}, Symbol, NoMetadata}, y::DimArray{Float64, 0, Tuple{}, Tuple{}, CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, Symbol, NoMetadata}; atol::Int64, rtol::Float64, nans::Bool, norm::typeof(LinearAlgebra.norm)) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.12/LinearAlgebra/src/generic.jl:1987 [7] isapprox(x::DimArray{Float64, 0, Tuple{}, Tuple{}, Array{Float64, 0}, Symbol, NoMetadata}, y::DimArray{Float64, 0, Tuple{}, Tuple{}, CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, Symbol, NoMetadata}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.12/LinearAlgebra/src/generic.jl:1981 [8] eval_test(evaluated::Expr, quoted::Expr, source::LineNumberNode, negate::Bool) @ Test /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:363 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:677 [inlined] [10] test_idata_approx_equal(idata1::InferenceData{(:posterior, :posterior_predictive, :sample_stats, :prior, :prior_predictive, :observed_data), Tuple{Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:dimb, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Bool, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::Matrix{Bool}, energy::Matrix{Float64}, n_steps::Matrix{Int64}}, DimStack{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Bool, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::Matrix{Bool}, energy::Matrix{Float64}, n_steps::Matrix{Int64}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata, NoMetadata}}}, Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:dimb, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::Matrix{Float64}, v::Array{Float64, 0}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::Matrix{Float64}, v::Array{Float64, 0}}, Tuple{Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}}}, idata2::InferenceData{(:posterior, :posterior_predictive, :sample_stats, :prior, :prior_predictive, :observed_data), Tuple{Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, NoLookup{Base.OneTo{Int64}}}, Dim{:dimb, Sampled{Int64, Vector{Int64}, ForwardOrdered, Irregular{Tuple{Nothing, Nothing}}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Int8, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::CommonDataModel.CFVariable{Int8, 2, NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, energy::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, n_steps::CommonDataModel.CFVariable{Int64, 2, NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Int8, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::CommonDataModel.CFVariable{Int8, 2, NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, energy::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, n_steps::CommonDataModel.CFVariable{Int64, 2, NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{CommonDataModel.Attributes{NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, NoMetadata, NoMetadata}}}, Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, NoLookup{Base.OneTo{Int64}}}, Dim{:dimb, Sampled{Int64, Vector{Int64}, ForwardOrdered, Irregular{Tuple{Nothing, Nothing}}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}}}; check_metadata::Bool, check_eltypes::Bool) @ Main ~/.julia/packages/InferenceObjects/DDeod/test/test_helpers.jl:80 ┌ Warning: 1 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable. └ @ PSIS ~/.julia/packages/PSIS/4tW5l/src/core.jl:373 ┌ Warning: 1 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable. └ @ PSIS ~/.julia/packages/PSIS/4tW5l/src/core.jl:373 Test Summary: | Pass Error Broken Total Time InferenceObjects | 2063 2 21 2086 16m26.0s utils | 27 27 7.4s dimension-related functions | 96 96 8.3s dataset | 72 1 73 14.3s InferenceData | 71 71 36.4s conversion to Dataset | 18 18 10.5s conversion to InferenceData | 81 81 12.3s from_namedtuple | 660 2 662 33.6s from_dict | 656 2 658 40.0s MCMCDiagnosticTools integration | 95 8 103 4m00.6s NCDatasets integration | 174 2 176 1m46.4s to_netcdf/from_netcdf roundtrip | 174 2 176 1m43.9s PosteriorStats integration | 113 8 121 6m51.1s RNG of the outermost testset: Xoshiro(0xb300d505886b9166, 0x2f6f076356a5aa81, 0xf8b21b44228e1cb7, 0x69eeb4c9b33e6042, 0x024f65081fd7c24a) ERROR: LoadError: Some tests did not pass: 2063 passed, 0 failed, 2 errored, 21 broken. in expression starting at /home/pkgeval/.julia/packages/InferenceObjects/DDeod/test/runtests.jl:3 Testing failed after 1002.83s ERROR: LoadError: Package InferenceObjects errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.12/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/v1.12/Pkg/src/Operations.jl:2535 [3] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2384 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:538 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:169 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:157 [7] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:157 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:156 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [10] include(mod::Module, _path::String) @ Base ./Base.jl:306 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:317 [12] _start() @ Base ./client.jl:550 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 2042.0s: package tests unexpectedly errored