Package evaluation to test InferenceObjects on Julia 1.14.0-DEV.1871 (50d44f5be7*) started at 2026-03-08T14:12:41.051 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.39s ################################################################################ # Installation # Installing InferenceObjects... Resolving package versions... Installed IteratorInterfaceExtensions ─ v1.0.0 Installed DataAPI ───────────────────── v1.16.0 Installed IntervalSets ──────────────── v0.7.13 Installed Statistics ────────────────── v1.11.1 Installed InvertedIndices ───────────── v1.3.1 Installed Interfaces ────────────────── v0.3.2 Installed Preferences ───────────────── v1.5.2 Installed DataValueInterfaces ───────── v1.0.0 Installed TableTraits ───────────────── v1.0.1 Installed Extents ───────────────────── v0.1.6 Installed ConstructionBase ──────────── v1.6.0 Installed PrecompileTools ───────────── v1.3.3 Installed Tables ────────────────────── v1.12.1 Installed OrderedCollections ────────── v1.8.1 Installed InferenceObjects ──────────── v0.4.17 Installed ANSIColoredPrinters ───────── v0.0.1 Installed DimensionalData ───────────── v0.30.1 Updating `~/.julia/environments/v1.14/Project.toml` [b5cf5a8d] + InferenceObjects v0.4.17 Updating `~/.julia/environments/v1.14/Manifest.toml` [a4c015fc] + ANSIColoredPrinters v0.0.1 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [e2d170a0] + DataValueInterfaces v1.0.0 [0703355e] + DimensionalData v0.30.1 [411431e0] + Extents v0.1.6 [b5cf5a8d] + InferenceObjects v0.4.17 [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 v1.5.2 [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 v1.13.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [fa267f1f] + TOML v1.0.3 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.30+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 5.13s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 5024.9 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. Precompiling package dependencies... Precompiling packages... 4800.6 ms ✓ MacroTools 824.4 ms ✓ Reexport 1280.0 ms ✓ ConstructionBase 2333.4 ms ✓ IrrationalConstants 808.7 ms ✓ DataValueInterfaces 946.9 ms ✓ PrettyPrint 921.3 ms ✓ StatsAPI 1227.9 ms ✓ IterTools 1093.2 ms ✓ IntervalSets 922.4 ms ✓ ArgCheck 811.9 ms ✓ CommonSolve 1361.7 ms ✓ TranscodingStreams 882.3 ms ✓ LaTeXStrings 2616.7 ms ✓ Baselet 1035.5 ms ✓ Interfaces 1194.3 ms ✓ Statistics 1047.2 ms ✓ StaticArraysCore 1180.3 ms ✓ LRUCache 864.7 ms ✓ PtrArrays 862.6 ms ✓ SimpleBufferStream 1096.1 ms ✓ ANSIColoredPrinters 1025.0 ms ✓ PositiveFactorizations 907.7 ms ✓ DataAPI 1318.4 ms ✓ URIs 3690.8 ms ✓ UnsafeAtomics 2429.8 ms ✓ ShowCases 26689.7 ms ✓ MLStyle 892.3 ms ✓ InvertedIndices 997.4 ms ✓ InverseFunctions 871.1 ms ✓ CompositionsBase 893.8 ms ✓ BitFlags 1640.9 ms ✓ InitialValues 882.9 ms ✓ MuladdMacro 1147.5 ms ✓ AbstractFFTs 957.8 ms ✓ EnumX 1096.8 ms ✓ ComputationalResources 2398.2 ms ✓ FillArrays 873.8 ms ✓ IntegerMathUtils 861.6 ms ✓ UnPack 1104.1 ms ✓ Extents 1161.3 ms ✓ LearnAPI 1471.2 ms ✓ OrderedCollections 975.4 ms ✓ HashArrayMappedTries 1467.8 ms ✓ ADTypes 1187.8 ms ✓ DocStringExtensions 2258.1 ms ✓ BSON 867.5 ms ✓ DefineSingletons 1751.2 ms ✓ OffsetArrays 815.6 ms ✓ IteratorInterfaceExtensions 2005.3 ms ✓ Crayons 1039.7 ms ✓ DelimitedFiles 1085.1 ms ✓ NaNMath 1308.2 ms ✓ Requires 1631.2 ms ✓ ConcurrentUtilities 2172.8 ms ✓ PDMats 1642.6 ms ✓ WoodburyMatrices 1376.4 ms ✓ Scratch 2174.0 ms ✓ StructTypes 2902.9 ms ✓ CFTime 1482.2 ms ✓ LoggingExtras 1943.7 ms ✓ ProgressMeter 1438.1 ms ✓ ScientificTypesBase 1257.3 ms ✓ Compat 1558.7 ms ✓ Preferences 1671.7 ms ✓ ExceptionUnwrapping 3676.6 ms ✓ SimpleTraits 888.9 ms ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 902.3 ms ✓ NameResolution 824.8 ms ✓ IntervalSets → IntervalSetsRandomExt 815.4 ms ✓ ConstructionBase → ConstructionBaseIntervalSetsExt 1056.2 ms ✓ CodecZlib 1585.1 ms ✓ Statistics → SparseArraysExt 4193.4 ms ✓ FixedPointNumbers 813.6 ms ✓ IntervalSets → IntervalSetsStatisticsExt 817.6 ms ✓ LRUCache → SerializationExt 999.4 ms ✓ AliasTables 1043.3 ms ✓ Missings 1065.2 ms ✓ Atomix 1305.7 ms ✓ InverseFunctions → InverseFunctionsDatesExt 1804.9 ms ✓ InverseFunctions → InverseFunctionsTestExt 859.2 ms ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 4726.3 ms ✓ OpenSSL 4607.5 ms ✓ AbstractFFTs → AbstractFFTsTestExt 1755.6 ms ✓ FillArrays → FillArraysSparseArraysExt 1138.9 ms ✓ FillArrays → FillArraysStatisticsExt 1266.5 ms ✓ Primes 1131.3 ms ✓ Parameters 3758.0 ms ✓ DataStructures 929.2 ms ✓ ScopedValues 790.1 ms ✓ ADTypes → ADTypesConstructionBaseExt 1896.5 ms ✓ DifferentiationInterface 1461.2 ms ✓ LogExpFunctions 851.9 ms ✓ TableTraits 908.5 ms ✓ Ratios 1020.9 ms ✓ Adapt 1705.6 ms ✓ FillArrays → FillArraysPDMatsExt 1621.7 ms ✓ AxisAlgorithms 1409.1 ms ✓ StatisticalTraits 906.6 ms ✓ Compat → CompatLinearAlgebraExt 1312.0 ms ✓ PrecompileTools 1647.3 ms ✓ JLLWrappers 2354.8 ms ✓ MPIPreferences 3240.7 ms ✓ Setfield 3288.3 ms ✓ DiskArrays 12464.9 ms ✓ JuliaVariables 3076.1 ms ✓ ColorTypes 3571.9 ms ✓ CategoricalArrays 6171.2 ms ✓ Accessors 2902.3 ms ✓ FFTA 1258.9 ms ✓ SortingAlgorithms 2514.4 ms ✓ QuadGK 1627.3 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 857.1 ms ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 1941.2 ms ✓ Tables 958.2 ms ✓ Ratios → RatiosFixedPointNumbersExt 1182.7 ms ✓ ArrayInterface 1514.9 ms ✓ Adapt → AdaptSparseArraysExt 1390.1 ms ✓ GPUArraysCore 950.2 ms ✓ OffsetArrays → OffsetArraysAdaptExt 3762.3 ms ✓ MLJModelInterface 3006.3 ms ✓ ChainRulesCore 1177.8 ms ✓ ContextVariablesX 3964.6 ms ✓ StringManipulation 14978.6 ms ✓ StaticArrays 3734.2 ms ✓ RecipesBase 18212.0 ms ✓ Parsers 2496.8 ms ✓ EarCut_jll 2501.4 ms ✓ Bzip2_jll 2556.4 ms ✓ Lz4_jll 2550.6 ms ✓ XZ_jll 2467.0 ms ✓ Rmath_jll 1639.4 ms ✓ MicrosoftMPI_jll 2305.4 ms ✓ OpenSpecFun_jll 5813.9 ms ✓ IntelOpenMP_jll 5874.4 ms ✓ oneTBB_jll 2689.3 ms ✓ FFTW_jll 2383.3 ms ✓ libaec_jll 2366.3 ms ✓ Xorg_libpciaccess_jll 2470.5 ms ✓ Libiconv_jll 2340.1 ms ✓ MbedTLS_jll 5035.8 ms ✓ MPItrampoline_jll 3604.6 ms ✓ SplittablesBase 4420.5 ms ✓ CommonDataModel 1395.2 ms ✓ ColorTypes → StyledStringsExt 1481.9 ms ✓ CategoricalArrays → CategoricalArraysStructTypesExt 2358.5 ms ✓ Accessors → TestExt 3273.2 ms ✓ Accessors → IntervalSetsExt 3142.2 ms ✓ Accessors → LinearAlgebraExt 5155.5 ms ✓ StatsBase 3637.2 ms ✓ MLCore 29863.1 ms ✓ DimensionalData 823.5 ms ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 1474.7 ms ✓ ArrayInterface → ArrayInterfaceSparseArraysExt 877.1 ms ✓ DifferentiationInterface → DifferentiationInterfaceGPUArraysCoreExt 882.7 ms ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt 1599.5 ms ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 990.0 ms ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt 879.0 ms ✓ ADTypes → ADTypesChainRulesCoreExt 950.5 ms ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt 3684.4 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 899.2 ms ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt 1062.4 ms ✓ FLoopsBase 30851.2 ms ✓ PrettyTables 1909.1 ms ✓ StaticArrays → StaticArraysStatisticsExt 1994.9 ms ✓ StaticArrays → StaticArraysChainRulesCoreExt 1900.4 ms ✓ ConstructionBase → ConstructionBaseStaticArraysExt 2139.0 ms ✓ FillArrays → FillArraysStaticArraysExt 1930.2 ms ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt 1918.7 ms ✓ Adapt → AdaptStaticArraysExt 2077.9 ms ✓ Accessors → StaticArraysExt 1755.3 ms ✓ IntervalSets → IntervalSetsRecipesBaseExt 3100.9 ms ✓ PSIS 1899.6 ms ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 16202.4 ms ✓ JSON3 23619.0 ms ✓ GeometryBasics 2487.4 ms ✓ Blosc_jll 2594.1 ms ✓ libzip_jll 2017.6 ms ✓ Rmath 5664.5 ms ✓ SpecialFunctions  Downloading artifact: IntelOpenMP  Downloading artifact: oneTBB 11046.5 ms ✓ MKL_jll 2573.5 ms ✓ XML2_jll 2696.8 ms ✓ MbedTLS 2178.1 ms ✓ BangBang 8089.5 ms ✓ Roots 1654.5 ms ✓ PDMats → StatsBaseExt 2411.5 ms ✓ DimensionalData → DimensionalDataCategoricalArraysExt 2773.2 ms ✓ DimensionalData → DimensionalDataSparseArraysExt 2849.4 ms ✓ DimensionalData → DimensionalDataDiskArraysExt 3118.0 ms ✓ DimensionalData → DimensionalDataStatsBaseExt 2045.2 ms ✓ DimensionalData → DimensionalDataArrayInterfaceExt 3437.2 ms ✓ DimensionalData → DimensionalDataAbstractFFTsExt 2295.6 ms ✓ DimensionalData → DimensionalDataChainRulesCoreExt 2754.8 ms ✓ DimensionalData → DimensionalDataRecipesBaseExt 2165.2 ms ✓ DimensionalData → DimensionalDataAdaptExt 3197.5 ms ✓ InferenceObjects 1441.0 ms ✓ FiniteDiff 10078.2 ms ✓ KernelAbstractions 4824.4 ms ✓ Interpolations 5342.6 ms ✓ NetworkLayout 5016.1 ms ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 2825.8 ms ✓ HypergeometricFunctions 8359.1 ms ✓ FFTW 2561.5 ms ✓ Hwloc_jll 29376.9 ms ✓ HTTP 1607.9 ms ✓ BangBang → BangBangChainRulesCoreExt 1588.7 ms ✓ BangBang → BangBangTablesExt 2241.9 ms ✓ BangBang → BangBangStaticArraysExt 3322.2 ms ✓ MicroCollections 1577.6 ms ✓ Roots → RootsChainRulesCoreExt 1854.9 ms ✓ FiniteDiff → FiniteDiffStaticArraysExt 1516.3 ms ✓ FiniteDiff → FiniteDiffSparseArraysExt 1106.3 ms ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt 3833.3 ms ✓ KernelAbstractions → SparseArraysExt 2616.1 ms ✓ KernelAbstractions → LinearAlgebraExt 3622.7 ms ✓ StatsFuns 6010.4 ms ✓ MPICH_jll 5084.5 ms ✓ OpenMPI_jll 5997.2 ms ✓ DataDeps 9089.8 ms ✓ Transducers 1603.5 ms ✓ NLSolversBase 15512.2 ms ✓ NNlib 4644.3 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 1894.0 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt 10644.9 ms ✓ Distributions 6816.1 ms ✓ HDF5_jll 2548.0 ms ✓ Transducers → TransducersAdaptExt 16618.5 ms ✓ FLoops 1689.3 ms ✓ LineSearches 3107.8 ms ✓ NNlib → NNlibSpecialFunctionsExt 3256.5 ms ✓ NNlib → NNlibFFTWExt 4168.4 ms ✓ Distributions → DistributionsTestExt 3642.2 ms ✓ Distributions → DistributionsChainRulesCoreExt 5724.9 ms ✓ MCMCDiagnosticTools 5743.9 ms ✓ ScientificTypes 12074.5 ms ✓ EvoTrees 6497.4 ms ✓ NetCDF_jll 24626.0 ms ✓ MLUtils 5746.2 ms ✓ Optim 4645.0 ms ✓ KernelDensity 6362.3 ms ✓ InferenceObjects → InferenceObjectsMCMCDiagnosticToolsExt 5531.8 ms ✓ CategoricalDistributions 16427.9 ms ✓ NCDatasets 19376.4 ms ✓ StatisticalMeasuresBase 9235.9 ms ✓ PosteriorStats 7547.5 ms ✓ InferenceObjects → InferenceObjectsNCDatasetsExt 17916.9 ms ✓ MLJBase 9109.2 ms ✓ InferenceObjects → InferenceObjectsPosteriorStatsExt 13990.9 ms ✓ ArviZExampleData 248 dependencies successfully precompiled in 920 seconds. 41 already precompiled. 1 dependency had output during precompilation: ┌ MKL_jll │ Downloading artifact: IntelOpenMP │ Downloading artifact: oneTBB └ Precompilation completed after 964.04s ################################################################################ # Testing # Testing InferenceObjects Status `/tmp/jl_jJZsiG/Project.toml` [a4c015fc] ANSIColoredPrinters v0.0.1 [2f96bb34] ArviZExampleData v0.3.0 [0703355e] DimensionalData v0.30.1 ⌅ [f6006082] EvoTrees v0.16.9 [b5cf5a8d] InferenceObjects v0.4.17 [be115224] MCMCDiagnosticTools v0.3.16 ⌃ [a7f614a8] MLJBase v1.9.2 [85f8d34a] NCDatasets v0.14.12 [6fe1bfb0] OffsetArrays v1.17.0 [bac558e1] OrderedCollections v1.8.1 [7f36be82] PosteriorStats v0.4.8 [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_jJZsiG/Manifest.toml` [47edcb42] ADTypes v1.21.0 [a4c015fc] ANSIColoredPrinters v0.0.1 [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.5.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.23.0 [2f96bb34] ArviZExampleData v0.3.0 [a9b6321e] Atomix v1.1.2 [13072b0f] AxisAlgorithms v1.1.0 [fbb218c0] BSON v0.3.9 [198e06fe] BangBang v0.4.8 [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 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [f0e56b4a] ConcurrentUtilities v2.5.1 [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 [a0c0ee7d] DifferentiationInterface v0.7.16 [0703355e] DimensionalData v0.30.1 [3c3547ce] DiskArrays v0.4.19 [31c24e10] Distributions v0.25.123 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.7 ⌅ [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 [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 v0.4.17 [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 v0.9.40 [5ab0869b] KernelDensity v0.6.11 [8ac3fa9e] LRUCache v1.6.2 [b964fa9f] LaTeXStrings v1.4.0 ⌅ [92ad9a40] LearnAPI v1.0.1 [d3d80556] LineSearches v7.6.0 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 [be115224] MCMCDiagnosticTools v0.3.16 [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 v1.1.10 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [46d2c3a1] MuladdMacro v0.2.4 [85f8d34a] NCDatasets v0.14.12 [d41bc354] NLSolversBase v8.0.0 [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 v2.0.1 [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 v0.4.8 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.2 [8162dcfd] PrettyPrint v0.2.0 ⌅ [08abe8d2] PrettyTables v2.4.0 [27ebfcd6] Primes v0.5.7 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.4.0 [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 v2.2.13 ⌃ [321657f4] ScientificTypes v3.1.1 [30f210dd] ScientificTypesBase v3.1.0 [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 v2.7.1 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.17 [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 v0.4.4 [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 v2.13.0+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 v5.5.5+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 v5.0.10+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 [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 v1.13.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [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 v8.18.0+0 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.30+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.5+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+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: (↓ dima AsSlice{At{UnitRange{Int64}, Nothing}}(At(2:3)), → dimb AsSlice{At{Int64, Nothing}}(At(6))) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/ggY1V/src/Dimensions/primitives.jl:854 ┌ Warning: (↓ dima AsSlice{At{UnitRange{Int64}, Nothing}}(At(2:3)), → dimb AsSlice{At{Int64, Nothing}}(At(6))) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/ggY1V/src/Dimensions/primitives.jl:854 ┌ Warning: (↓ dimy [1]) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/ggY1V/src/Dimensions/primitives.jl:854 ┌ Warning: (↓ dimy [1]) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/ggY1V/src/Dimensions/primitives.jl:854 ┌ Warning: (↓ dimb [1]) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/ggY1V/src/Dimensions/primitives.jl:854 ┌ Warning: (↓ dimb [1]) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/ggY1V/src/Dimensions/primitives.jl:854 to_netcdf/from_netcdf roundtrip: Error During Test at /home/pkgeval/.julia/packages/InferenceObjects/VuqQ6/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::OffsetArray, !Matched::Tuple{Vararg{Int64}}; checkoverflow) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:179 OffsetArray(!Matched::OffsetArray, !Matched::Tuple{Integer, Vararg{Integer}}; kw...) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:186 ... 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/ggY1V/src/array/array.jl:125 [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/v1.14/LinearAlgebra/src/generic.jl:720 [5] norm @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/generic.jl:716 [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/v1.14/LinearAlgebra/src/generic.jl:2009 [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/v1.14/LinearAlgebra/src/generic.jl:2003 [8] eval_test_comparison(comparison::Expr, ops::Vector{Any}, source::LineNumberNode, negate::Bool) @ Test /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:382 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [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}}, 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}}}, 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}}, 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}}}, 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}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, 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}}, 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}}}, 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}}, 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}}}, 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}}, Tuple{Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, 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}}}, 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}}}, 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}}}, 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}}}}, 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}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}}, 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}}}, 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}}}, 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}}}, 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}}}}, 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}}}, Tuple{Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, NoLookup{Base.OneTo{Int64}}}}, 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/VuqQ6/test/test_helpers.jl:80 to_netcdf/from_netcdf roundtrip: Error During Test at /home/pkgeval/.julia/packages/InferenceObjects/VuqQ6/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::OffsetArray, !Matched::Tuple{Vararg{Int64}}; checkoverflow) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:179 OffsetArray(!Matched::OffsetArray, !Matched::Tuple{Integer, Vararg{Integer}}; kw...) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:186 ... 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/ggY1V/src/array/array.jl:125 [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/v1.14/LinearAlgebra/src/generic.jl:720 [5] norm @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/generic.jl:716 [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/v1.14/LinearAlgebra/src/generic.jl:2009 [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/v1.14/LinearAlgebra/src/generic.jl:2003 [8] eval_test_comparison(comparison::Expr, ops::Vector{Any}, source::LineNumberNode, negate::Bool) @ Test /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:382 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:778 [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}}, 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}}}, 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}}, 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}}}, 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}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, 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}}, 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}}}, 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}}, 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}}}, 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}}, Tuple{Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, 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}}}, 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}}}, 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}}}, 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}}}}, 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}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}}, 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}}}, 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}}}, 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}}}, 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}}}}, 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}}}, Tuple{Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, NoLookup{Base.OneTo{Int64}}}}, 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/VuqQ6/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 | 2057 2 21 2080 19m20.0s utils | 27 27 10.3s dimension-related functions | 96 96 12.0s dataset | 72 1 73 16.3s InferenceData | 71 71 1m04.9s conversion to Dataset | 18 18 14.5s conversion to InferenceData | 81 81 22.5s from_namedtuple | 660 2 662 1m01.7s from_dict | 656 2 658 29.1s MCMCDiagnosticTools integration | 95 8 103 4m32.2s NCDatasets integration | 174 2 176 2m07.5s to_netcdf/from_netcdf roundtrip | 174 2 176 2m05.5s PosteriorStats integration | 107 8 115 7m13.6s RNG of the outermost testset: Xoshiro(0x98114f6c72eda2ae, 0xc1b7af0e6b0c4eef, 0x9ea4edc1f10ce751, 0x3b01b37a3d0e5b76, 0x937ce9b914b7944a) ERROR: LoadError: Some tests did not pass: 2057 passed, 0 failed, 2 errored, 21 broken. in expression starting at /home/pkgeval/.julia/packages/InferenceObjects/VuqQ6/test/runtests.jl:3 Testing failed after 1180.64s ERROR: LoadError: Package InferenceObjects 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:3138 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3003 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:586 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:562 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [12] include(mod::Module, _path::String) @ Base ./Base.jl:323 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [14] _start() @ Base ./client.jl:585 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 2202.93s: package tests unexpectedly errored