Package evaluation to test InferenceObjects on Julia 1.12.7-DEV.42 (6f510b6086*) started at 2026-06-19T13:36:10.563 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.12` Set-up completed after 9.47s ################################################################################ # Installation # Installing InferenceObjects... Resolving package versions... Installed DataValueInterfaces ───────── v1.0.0 Installed OrderedCollections ────────── v1.8.2 Installed ANSIColoredPrinters ───────── v0.0.1 Installed ConstructionBase ──────────── v1.6.0 Installed DataAPI ───────────────────── v1.16.0 Installed Tables ────────────────────── v1.12.1 Installed Extents ───────────────────── v0.1.6 Installed TableTraits ───────────────── v1.0.1 Installed Statistics ────────────────── v1.11.1 Installed InferenceObjects ──────────── v0.4.17 Installed InvertedIndices ───────────── v1.3.1 Installed IntervalSets ──────────────── v0.7.14 Installed Interfaces ────────────────── v0.3.2 Installed IteratorInterfaceExtensions ─ v1.0.0 Installed Preferences ───────────────── v1.5.2 Installed DimensionalData ───────────── v0.30.1 Installed PrecompileTools ───────────── v1.3.4 Updating `~/.julia/environments/v1.12/Project.toml` [b5cf5a8d] + InferenceObjects v0.4.17 Updating `~/.julia/environments/v1.12/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 v0.7.14 [41ab1584] + InvertedIndices v1.3.1 [82899510] + IteratorInterfaceExtensions v1.0.0 ⌅ [bac558e1] + OrderedCollections v1.8.2 [aea7be01] + PrecompileTools v1.3.4 [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 v1.12.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [fa267f1f] + TOML v1.0.3 [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 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 6.02s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 4435.3 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 26 already precompiled. 24 dependencies precompiled but different versions are currently loaded (ArgTools, Base64, Dates, Downloads, JuliaSyntaxHighlighting, LibCURL, LibCURL_jll, LibGit2, LibGit2_jll, LibSSH2_jll, Logging, Markdown, MozillaCACerts_jll, NetworkOptions, OpenSSL_jll, Pkg, Printf, StyledStrings, TOML, Tar, UUIDs, Zlib_jll, nghttp2_jll and p7zip_jll). Restart julia to access the new versions. Otherwise, 1 dependent of these packages may trigger further precompilation to work with the unexpected versions. Precompiling package dependencies... Precompiling packages... 960.9 ms ✓ MuladdMacro 1058.3 ms ✓ AbstractFFTs 827.4 ms ✓ LaTeXStrings 923.9 ms ✓ PositiveFactorizations 700.5 ms ✓ IteratorInterfaceExtensions 3980.8 ms ✓ UnsafeAtomics 817.8 ms ✓ StatsAPI 1471.2 ms ✓ ADTypes 1016.5 ms ✓ ANSIColoredPrinters 1670.7 ms ✓ OffsetArrays 771.9 ms ✓ UnPack 1999.9 ms ✓ FillArrays 856.6 ms ✓ IntegerMathUtils 955.7 ms ✓ InverseFunctions 1129.4 ms ✓ Statistics 757.3 ms ✓ CommonSolve 4101.9 ms ✓ ShowCases 7676.8 ms ✓ MacroTools 4156.9 ms ✓ OrderedCollections 734.8 ms ✓ DataValueInterfaces 878.0 ms ✓ EnumX 750.8 ms ✓ Reexport 1106.5 ms ✓ DocStringExtensions 5218.7 ms ✓ IrrationalConstants 1054.0 ms ✓ IntervalSets 1269.2 ms ✓ URIs 778.7 ms ✓ SimpleBufferStream 831.0 ms ✓ CompositionsBase 997.5 ms ✓ Extents 928.7 ms ✓ Interfaces 807.2 ms ✓ PtrArrays 1283.4 ms ✓ TranscodingStreams 891.7 ms ✓ HashArrayMappedTries 3926.8 ms ✓ NaNMath 5040.5 ms ✓ BSON 1151.0 ms ✓ LearnAPI 988.5 ms ✓ DelimitedFiles 826.2 ms ✓ InvertedIndices 1083.4 ms ✓ LRUCache 3987.8 ms ✓ ConstructionBase 875.1 ms ✓ Adapt 815.5 ms ✓ DataAPI 4847.6 ms ✓ Crayons 1019.6 ms ✓ ComputationalResources 854.6 ms ✓ BitFlags 981.1 ms ✓ StaticArraysCore 1750.3 ms ✓ ConcurrentUtilities 1927.1 ms ✓ PDMats 1472.4 ms ✓ WoodburyMatrices 1189.9 ms ✓ Requires 1940.7 ms ✓ ProgressMeter 4492.7 ms ✓ StructTypes 2553.8 ms ✓ CFTime 865.0 ms ✓ Scratch 1050.8 ms ✓ LoggingExtras 1133.1 ms ✓ Preferences 4013.1 ms ✓ Compat 1423.6 ms ✓ ScientificTypesBase 1633.9 ms ✓ ExceptionUnwrapping 4283.2 ms ✓ AbstractFFTs → AbstractFFTsTestExt 769.7 ms ✓ TableTraits 1036.4 ms ✓ Atomix 4786.9 ms ✓ DifferentiationInterface 1533.8 ms ✓ FillArrays → FillArraysSparseArraysExt 1161.1 ms ✓ Primes 1794.0 ms ✓ InverseFunctions → InverseFunctionsTestExt 858.7 ms ✓ InverseFunctions → InverseFunctionsDatesExt 6883.6 ms ✓ FixedPointNumbers 1356.9 ms ✓ Statistics → SparseArraysExt 900.9 ms ✓ FillArrays → FillArraysStatisticsExt 3188.2 ms ✓ SimpleTraits 3617.1 ms ✓ DataStructures 951.9 ms ✓ Parameters 1317.0 ms ✓ LogExpFunctions 781.0 ms ✓ IntervalSets → IntervalSetsRandomExt 780.9 ms ✓ IntervalSets → IntervalSetsStatisticsExt 795.0 ms ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 944.4 ms ✓ AliasTables 905.8 ms ✓ CodecZlib 867.2 ms ✓ ScopedValues 777.6 ms ✓ LRUCache → SerializationExt 756.9 ms ✓ ConstructionBase → ConstructionBaseIntervalSetsExt 778.4 ms ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 770.0 ms ✓ ADTypes → ADTypesConstructionBaseExt 1299.7 ms ✓ Adapt → AdaptSparseArraysExt 3939.5 ms ✓ ArrayInterface 1208.2 ms ✓ GPUArraysCore 858.8 ms ✓ OffsetArrays → OffsetArraysAdaptExt 3847.8 ms ✓ Missings 4742.9 ms ✓ OpenSSL 1484.0 ms ✓ FillArrays → FillArraysPDMatsExt 1381.6 ms ✓ AxisAlgorithms 824.7 ms ✓ Ratios 1366.4 ms ✓ JLLWrappers 1481.2 ms ✓ MPIPreferences 1025.1 ms ✓ PrecompileTools 858.9 ms ✓ Compat → CompatLinearAlgebraExt 1408.1 ms ✓ StatisticalTraits 4758.2 ms ✓ Tables 1383.3 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 2914.4 ms ✓ FFTA 5266.6 ms ✓ ColorTypes 1088.1 ms ✓ SortingAlgorithms 5043.5 ms ✓ QuadGK 785.6 ms ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 2617.8 ms ✓ DiskArrays 3052.6 ms ✓ Setfield 8347.3 ms ✓ Accessors 1335.1 ms ✓ ArrayInterface → ArrayInterfaceSparseArraysExt 748.3 ms ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 862.9 ms ✓ DifferentiationInterface → DifferentiationInterfaceGPUArraysCoreExt 812.3 ms ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt 7874.7 ms ✓ CategoricalArrays 869.8 ms ✓ Ratios → RatiosFixedPointNumbersExt 1147.6 ms ✓ dlfcn_win32_jll 1406.2 ms ✓ aws_c_common_jll 1411.1 ms ✓ Bzip2_jll 1449.9 ms ✓ Lz4_jll 1453.8 ms ✓ Xorg_libpciaccess_jll 1501.1 ms ✓ libaec_jll 1404.6 ms ✓ s2n_tls_jll 1379.6 ms ✓ Rmath_jll 4805.6 ms ✓ IntelOpenMP_jll 1457.5 ms ✓ EarCut_jll 1490.7 ms ✓ XZ_jll 4996.3 ms ✓ oneTBB_jll 1449.4 ms ✓ MbedTLS_jll 1452.7 ms ✓ Zstd_jll 1136.5 ms ✓ MicrosoftMPI_jll 1433.2 ms ✓ Libiconv_jll 1476.1 ms ✓ FFTW_jll 1420.7 ms ✓ OpenSpecFun_jll 4613.2 ms ✓ MPItrampoline_jll 18822.4 ms ✓ StaticArrays 3214.3 ms ✓ RecipesBase 3637.9 ms ✓ StringManipulation 15579.2 ms ✓ Parsers 5396.1 ms ✓ ChainRulesCore 2922.8 ms ✓ MLJModelInterface 3944.7 ms ✓ MLCore 33497.8 ms ✓ DimensionalData 1169.8 ms ✓ ColorTypes → StyledStringsExt 7729.7 ms ✓ StatsBase 3352.5 ms ✓ CommonDataModel 2145.7 ms ✓ Accessors → LinearAlgebraExt 1830.2 ms ✓ Accessors → TestExt 2219.3 ms ✓ Accessors → IntervalSetsExt 1317.6 ms ✓ FiniteDiff 981.2 ms ✓ CategoricalArrays → CategoricalArraysStructTypesExt 1416.8 ms ✓ aws_checksums_jll 1421.8 ms ✓ aws_c_cal_jll 1360.6 ms ✓ aws_c_compression_jll 1412.8 ms ✓ aws_c_sdkutils_jll 1584.9 ms ✓ Rmath 10024.1 ms ✓ MKL_jll 2193.3 ms ✓ MbedTLS 1447.1 ms ✓ Blosc_jll 1503.0 ms ✓ libzip_jll 1466.3 ms ✓ XML2_jll 5844.9 ms ✓ SpecialFunctions 1404.4 ms ✓ StaticArrays → StaticArraysStatisticsExt 1502.7 ms ✓ FillArrays → FillArraysStaticArraysExt 1450.4 ms ✓ ConstructionBase → ConstructionBaseStaticArraysExt 1392.3 ms ✓ Adapt → AdaptStaticArraysExt 1418.9 ms ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt 1601.1 ms ✓ Accessors → StaticArraysExt 28420.7 ms ✓ GeometryBasics 1334.2 ms ✓ IntervalSets → IntervalSetsRecipesBaseExt 2650.6 ms ✓ PSIS 3775.2 ms ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 34778.8 ms ✓ PrettyTables 15557.9 ms ✓ JSON3 4235.6 ms ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 932.3 ms ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt 885.3 ms ✓ ADTypes → ADTypesChainRulesCoreExt 891.7 ms ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt 3469.3 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 836.7 ms ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt 4385.9 ms ✓ StaticArrays → StaticArraysChainRulesCoreExt 1894.9 ms ✓ DimensionalData → DimensionalDataCategoricalArraysExt 2547.5 ms ✓ DimensionalData → DimensionalDataSparseArraysExt 5256.8 ms ✓ DimensionalData → DimensionalDataAbstractFFTsExt 1519.2 ms ✓ DimensionalData → DimensionalDataAdaptExt 1887.7 ms ✓ DimensionalData → DimensionalDataDiskArraysExt 1727.7 ms ✓ DimensionalData → DimensionalDataChainRulesCoreExt 1630.8 ms ✓ DimensionalData → DimensionalDataArrayInterfaceExt 2238.7 ms ✓ DimensionalData → DimensionalDataRecipesBaseExt 2766.0 ms ✓ InferenceObjects 1488.8 ms ✓ PDMats → StatsBaseExt 2717.0 ms ✓ DimensionalData → DimensionalDataStatsBaseExt 9809.4 ms ✓ Roots 1327.4 ms ✓ FiniteDiff → FiniteDiffSparseArraysExt 1370.1 ms ✓ FiniteDiff → FiniteDiffStaticArraysExt 960.5 ms ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt 1445.5 ms ✓ aws_c_io_jll 7959.8 ms ✓ FFTW 33407.7 ms ✓ HTTP 1455.0 ms ✓ Hwloc_jll 4557.1 ms ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 2259.9 ms ✓ HypergeometricFunctions 11595.9 ms ✓ KernelAbstractions 2733.5 ms ✓ GeometryBasics → IntervalSetsExt 7190.2 ms ✓ NetworkLayout 2452.9 ms ✓ GeometryBasics → ExtentsExt 7056.5 ms ✓ Interpolations 1203.2 ms ✓ Roots → RootsChainRulesCoreExt 4362.7 ms ✓ NLSolversBase 1470.2 ms ✓ aws_c_http_jll 6315.9 ms ✓ DataDeps 4574.5 ms ✓ OpenMPI_jll 4639.0 ms ✓ MPIABI_jll 1542.2 ms ✓ MPICH_jll 5046.5 ms ✓ StatsFuns 3085.1 ms ✓ KernelAbstractions → SparseArraysExt 2275.2 ms ✓ KernelAbstractions → LinearAlgebraExt 4658.2 ms ✓ LineSearches 1499.9 ms ✓ aws_c_auth_jll 4804.4 ms ✓ mpif_jll 983.0 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt 3980.2 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 10091.6 ms ✓ Distributions 15260.8 ms ✓ NNlib 8467.5 ms ✓ Optim 1510.7 ms ✓ aws_c_s3_jll 3528.6 ms ✓ Distributions → DistributionsTestExt 5715.5 ms ✓ Distributions → DistributionsChainRulesCoreExt 4727.2 ms ✓ MCMCDiagnosticTools 8229.0 ms ✓ ScientificTypes 13474.3 ms ✓ EvoTrees 2942.0 ms ✓ NNlib → NNlibSpecialFunctionsExt 2931.4 ms ✓ NNlib → NNlibFFTWExt 10959.5 ms ✓ MLUtils 1797.7 ms ✓ HDF5_jll 3841.4 ms ✓ KernelDensity 5504.4 ms ✓ InferenceObjects → InferenceObjectsMCMCDiagnosticToolsExt 7866.4 ms ✓ CategoricalDistributions 20875.6 ms ✓ StatisticalMeasuresBase 5315.4 ms ✓ NetCDF_jll 9098.2 ms ✓ PosteriorStats 15954.1 ms ✓ MLJBase 17727.0 ms ✓ NCDatasets 8189.0 ms ✓ InferenceObjects → InferenceObjectsPosteriorStatsExt 7209.8 ms ✓ InferenceObjects → InferenceObjectsNCDatasetsExt 13832.7 ms ✓ ArviZExampleData 244 dependencies successfully precompiled in 884 seconds. 40 already precompiled. 24 dependencies precompiled but different versions are currently loaded (ArgTools, Base64, Dates, Downloads, JuliaSyntaxHighlighting, LibCURL, LibCURL_jll, LibGit2, LibGit2_jll, LibSSH2_jll, Logging, Markdown, MozillaCACerts_jll, NetworkOptions, OpenSSL_jll, Pkg, Printf, StyledStrings, TOML, Tar, UUIDs, Zlib_jll, nghttp2_jll and p7zip_jll). Restart julia to access the new versions. Otherwise, 157 dependents of these packages may trigger further precompilation to work with the unexpected versions. 1 dependency had output during precompilation: ┌ MKL_jll │ Downloading artifact: IntelOpenMP │ Downloading artifact: oneTBB └ Precompilation completed after 925.28s ################################################################################ # Testing # Testing InferenceObjects Status `/tmp/jl_IB2Jm2/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 v0.3.19 ⌃ [a7f614a8] MLJBase v1.9.2 [85f8d34a] NCDatasets v0.14.15 [6fe1bfb0] OffsetArrays v1.17.0 ⌅ [bac558e1] OrderedCollections v1.8.2 [7f36be82] PosteriorStats v0.4.10 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.12 [bd369af6] Tables v1.12.1 [ade2ca70] Dates v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_IB2Jm2/Manifest.toml` [47edcb42] ADTypes v1.22.0 [a4c015fc] ANSIColoredPrinters v0.0.1 [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.44 [79e6a3ab] Adapt v4.6.1 [66dad0bd] AliasTables v1.1.3 [4fba245c] ArrayInterface v7.25.0 [2f96bb34] ArviZExampleData v0.3.0 [a9b6321e] Atomix v1.1.3 [13072b0f] AxisAlgorithms v1.1.0 [fbb218c0] BSON v0.3.9 [d1d4a3ce] BitFlags v0.1.10 [179af706] CFTime v0.2.10 ⌅ [324d7699] CategoricalArrays v0.10.9 ⌅ [af321ab8] CategoricalDistributions v0.1.15 [d360d2e6] ChainRulesCore v1.26.1 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 [1fbeeb36] CommonDataModel v0.4.3 [38540f10] CommonSolve v0.2.7 [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 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [124859b0] DataDeps v0.7.14 [864edb3b] DataStructures v0.19.5 [e2d170a0] DataValueInterfaces v1.0.0 [8bb1440f] DelimitedFiles v1.9.1 [a0c0ee7d] DifferentiationInterface v0.7.18 [0703355e] DimensionalData v0.30.1 [3c3547ce] DiskArrays v0.4.21 [31c24e10] Distributions v0.25.127 [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 [1a297f60] FillArrays v1.16.0 [6a86dc24] FiniteDiff v2.31.0 ⌅ [53c48c17] FixedPointNumbers v0.8.6 [46192b85] GPUArraysCore v0.2.0 [5c1252a2] GeometryBasics v0.5.11 ⌅ [cd3eb016] HTTP v1.11.0 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [b5cf5a8d] InferenceObjects v0.4.17 [18e54dd8] IntegerMathUtils v0.1.3 [85a1e053] Interfaces v0.3.2 [a98d9a8b] Interpolations v0.16.3 [8197267c] IntervalSets v0.7.14 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.8.0 [0f8b85d8] JSON3 v1.14.3 [63c18a36] KernelAbstractions v0.9.41 [5ab0869b] KernelDensity v0.6.12 [8ac3fa9e] LRUCache v1.6.2 [b964fa9f] LaTeXStrings v1.4.0 ⌅ [92ad9a40] LearnAPI v1.0.1 [d3d80556] LineSearches v7.7.1 [2ab3a3ac] LogExpFunctions v1.0.1 [e6f89c97] LoggingExtras v1.2.0 [be115224] MCMCDiagnosticTools v0.3.19 [c2834f40] MLCore v1.0.2 ⌃ [a7f614a8] MLJBase v1.9.2 [e80e1ace] MLJModelInterface v1.12.1 [f1d291b0] MLUtils v0.4.9 [3da0fdf6] MPIPreferences v0.1.12 [1914dd2f] MacroTools v0.5.16 [739be429] MbedTLS v1.1.10 [e1d29d7a] Missings v1.2.0 [46d2c3a1] MuladdMacro v0.2.4 [85f8d34a] NCDatasets v0.14.15 [d41bc354] NLSolversBase v8.0.0 [872c559c] NNlib v0.9.36 [77ba4419] NaNMath v1.1.4 [46757867] NetworkLayout v0.4.10 [6fe1bfb0] OffsetArrays v1.17.0 [4d8831e6] OpenSSL v1.6.1 [429524aa] Optim v2.2.1 ⌅ [bac558e1] OrderedCollections v1.8.2 [90014a1f] PDMats v0.11.37 [ce719bf2] PSIS v0.9.10 ⌅ [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.6 [85a6dd25] PositiveFactorizations v0.2.4 [7f36be82] PosteriorStats v0.4.10 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 ⌅ [08abe8d2] PrettyTables v2.4.0 [27ebfcd6] Primes v0.5.7 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.4.0 [1fd47b50] QuadGK v2.11.3 [c84ed2f1] Ratios v0.4.5 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 [f2b01f46] Roots v3.0.0 ⌃ [321657f4] ScientificTypes v3.1.1 [30f210dd] ScientificTypesBase v3.1.0 [7e506255] ScopedValues v1.6.2 [6c6a2e73] Scratch v1.3.0 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [777ac1f9] SimpleBufferStream v1.2.0 [699a6c99] SimpleTraits v0.9.6 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.8.0 [90137ffa] StaticArrays v1.9.18 [1e83bf80] StaticArraysCore v1.4.4 [c062fc1d] StatisticalMeasuresBase v0.1.4 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.12 [4c63d2b9] StatsFuns v2.2.0 [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 [5c2747f8] URIs v1.6.1 [3a884ed6] UnPack v1.0.2 [013be700] UnsafeAtomics v0.3.1 [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 v3.3.12+0 [0234f1f7] HDF5_jll v2.1.2+0 [e33a78d0] Hwloc_jll v2.14.0+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 [b5ada748] MPIABI_jll v0.1.5+0 [7cb0a576] MPICH_jll v5.0.1+0 [f1f71cc9] MPItrampoline_jll v5.5.6+0 [c8ffd9c3] MbedTLS_jll v2.28.1010+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [7243133f] NetCDF_jll v401.1000.0+0 [fe0851c0] OpenMPI_jll v5.0.11+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 v5.8.3+0 [a65dc6b1] Xorg_libpciaccess_jll v0.19.0+0 [3161d3a3] Zstd_jll v1.5.7+1 ⌅ [2b3700d1] aws_c_auth_jll v0.9.6+0 [70f11efc] aws_c_cal_jll v0.9.13+0 [73048d1d] aws_c_common_jll v0.12.6+0 [73a04cd5] aws_c_compression_jll v0.3.2+0 [3254fc65] aws_c_http_jll v0.10.13+0 [13c41daa] aws_c_io_jll v0.26.3+0 ⌅ [bd1f34fb] aws_c_s3_jll v0.11.5+0 [1282aa60] aws_c_sdkutils_jll v0.2.4+1 [b2a88e68] aws_checksums_jll v0.2.10+0 [c4b69c83] dlfcn_win32_jll v1.4.2+0 [477f73a3] libaec_jll v1.1.7+0 [337d8026] libzip_jll v1.11.3+0 [9aeb927a] mpif_jll v0.1.7+0 [1317d2d5] oneTBB_jll v2022.3.0+0 [cddc5d3d] s2n_tls_jll v1.7.3+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra 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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, DTsource::Nothing, maskingvalue::Missing}}) @ DiskArrays ~/.julia/packages/DiskArrays/HhkM2/src/iterator.jl:104 [2] iterate @ ~/.julia/packages/DiskArrays/HhkM2/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, DTsource::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, DTsource::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, DTsource::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}}, 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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::Nothing, maskingvalue::Missing}}) @ DiskArrays ~/.julia/packages/DiskArrays/HhkM2/src/iterator.jl:104 [2] iterate @ ~/.julia/packages/DiskArrays/HhkM2/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, DTsource::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, DTsource::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, DTsource::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}}, 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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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, DTsource::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/a8uY5/src/core.jl:374 ┌ Warning: 1 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable. └ @ PSIS ~/.julia/packages/PSIS/a8uY5/src/core.jl:374 Test Summary: | Pass Error Broken Total Time InferenceObjects | 2057 2 21 2080 18m08.4s utils | 27 27 10.4s dimension-related functions | 96 96 11.7s dataset | 72 1 73 16.3s InferenceData | 71 71 54.6s conversion to Dataset | 18 18 14.5s conversion to InferenceData | 81 81 18.3s from_namedtuple | 660 2 662 48.5s from_dict | 656 2 658 44.0s MCMCDiagnosticTools integration | 95 8 103 4m11.9s NCDatasets integration | 174 2 176 2m01.0s to_netcdf/from_netcdf roundtrip | 174 2 176 1m59.2s PosteriorStats integration | 107 8 115 7m08.7s RNG of the outermost testset: Xoshiro(0xcb462c918b10fed4, 0x52e25bd0a9f27213, 0x2d60d45889ecfa92, 0x926fd1cc4643608b, 0xa7e022542660ddb4) 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 1110.43s 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:2538 [3] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2387 [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:552 [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 2072.44s: package tests unexpectedly errored