Package evaluation to test InferenceObjects on Julia 1.14.0-DEV.2462 (fcc4213c48*) started at 2026-06-30T14:32:44.514 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 13.92s ################################################################################ # Installation # Installing InferenceObjects... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [b5cf5a8d] + InferenceObjects v0.4.17 Updating `~/.julia/environments/v1.14/Manifest.toml` [a4c015fc] + ANSIColoredPrinters v0.0.1 [79e6a3ab] + Adapt v4.7.0 [4fba245c] + ArrayInterface v7.27.0 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [e2d170a0] + DataValueInterfaces v1.0.0 ⌃ [0703355e] + DimensionalData v0.29.12 [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 v2.0.1 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [3cdcf5f2] + RecipesBase v1.3.4 [10745b16] + Statistics v1.11.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.13.0 [56f22d72] + Artifacts v1.11.0 [ade2ca70] + Dates v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.13.0 [fa267f1f] + TOML v1.0.3 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.5+2 [4536629a] + OpenBLAS_jll v0.3.33+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌃ have new versions available and may be upgradable. Installation completed after 9.9s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/RUPmD/src/julia-1.13/activate_set.jl:78 Precompiling package dependencies... Precompiling project... 1.5 s ✓ LearnAPI 4.5 s ✓ DataDeps 27.7 s ✓ PrettyTables 2.4 s ✓ DimensionalData → DimensionalDataDiskArraysExt 2.9 s ✓ DimensionalData → DimensionalDataAbstractFFTsExt 2.6 s ✓ InferenceObjects 4.8 s ✓ NetworkLayout 2.9 s ✓ CategoricalArrays 2.8 s ✓ NNlib → NNlibFFTWExt 11.2 s ✓ MLUtils 7.2 s ✓ MCMCDiagnosticTools 7.9 s ✓ NCDatasets 1.7 s ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 7.2 s ✓ ScientificTypes 1.2 s ✓ CategoricalArrays → CategoricalArraysStructTypesExt 2.2 s ✓ DimensionalData → DimensionalDataCategoricalArraysExt 17.9 s ✓ StatisticalMeasuresBase 11.3 s ✓ PosteriorStats 7.3 s ✓ InferenceObjects → InferenceObjectsMCMCDiagnosticToolsExt 6.2 s ✓ InferenceObjects → InferenceObjectsNCDatasetsExt 12.8 s ✓ EvoTrees 6.1 s ✓ CategoricalDistributions 10.7 s ✓ InferenceObjects → InferenceObjectsPosteriorStatsExt 12.5 s ✓ ArviZExampleData 18.7 s ✓ MLJBase 25 dependencies successfully precompiled in 195 seconds. 260 already precompiled. Precompilation completed after 229.64s ################################################################################ # Testing # Testing InferenceObjects Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function. Updating `/tmp/jl_91O72Y/Project.toml` [2f96bb34] + ArviZExampleData v0.3.0 [0703355e] ↑ DimensionalData v0.29.12 ⇒ 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 v2.0.1 ⇒ v1.8.2 [7f36be82] + PosteriorStats v0.4.11 [2913bbd2] + StatsBase v0.34.12 [8dfed614] ~ Test ⇒ v1.11.0 Updating `/tmp/jl_91O72Y/Manifest.toml` [47edcb42] + ADTypes v1.22.1 [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.45 [66dad0bd] + AliasTables v1.1.3 [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 v0.4.4 [38540f10] + CommonSolve v0.2.9 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [ed09eef8] + ComputationalResources v0.3.2 [f0e56b4a] + ConcurrentUtilities v2.5.1 [a8cc5b0e] + Crayons v4.1.1 [124859b0] + DataDeps v0.7.14 [864edb3b] + DataStructures v0.19.5 [8bb1440f] + DelimitedFiles v1.9.1 [a0c0ee7d] + DifferentiationInterface v0.7.18 [0703355e] ↑ DimensionalData v0.29.12 ⇒ v0.30.1 [3c3547ce] + DiskArrays v0.4.21 [31c24e10] + Distributions v0.25.129 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.7 ⌅ [f6006082] + EvoTrees v0.16.9 [460bff9d] + ExceptionUnwrapping v0.1.11 [b86e33f2] + FFTA v0.3.1 [7a1cc6ca] + FFTW v1.10.0 [1a297f60] + FillArrays v1.16.0 [6a86dc24] + FiniteDiff v2.31.1 ⌅ [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 [a98d9a8b] + Interpolations v0.16.3 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [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 v0.2.6 [85f8d34a] + NCDatasets v0.14.15 [d41bc354] + NLSolversBase v8.0.0 [872c559c] + NNlib v0.9.37 [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 v2.0.1 ⇒ v1.8.2 [90014a1f] + PDMats v0.11.40 [ce719bf2] + PSIS v0.9.10 ⌅ [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.6 [85a6dd25] + PositiveFactorizations v0.2.4 [7f36be82] + PosteriorStats v0.4.11 ⌅ [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 [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 v1.2.3 [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 [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 [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 ⌅ [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 v1.2.0 [2a0f44e3] + Base64 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 [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 [3fa0cd96] + REPL v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [f489334b] + StyledStrings v1.13.0 [4607b0f0] + SuiteSparse [a4e569a6] + Tar v1.10.0 [8dfed614] ~ Test ⇒ v1.11.0 [cf7118a7] + UUIDs v1.11.0 [deac9b47] + LibCURL_jll v8.20.0+1 [e37daf67] + LibGit2_jll v1.9.4+0 [29816b5a] + LibSSH2_jll v1.11.101+0 [14a3606d] + MozillaCACerts_jll v2026.5.14 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.7+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850ede] + nghttp2_jll v1.69.0+0 [3f19e933] + p7zip_jll v17.8.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Test Successfully re-resolved Status `/tmp/jl_91O72Y/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 v0.4.11 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.12 [bd369af6] Tables v1.13.0 [ade2ca70] Dates v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_91O72Y/Manifest.toml` [47edcb42] ADTypes v1.22.1 [a4c015fc] ANSIColoredPrinters v0.0.1 [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.45 [79e6a3ab] Adapt v4.7.0 [66dad0bd] AliasTables v1.1.3 [4fba245c] ArrayInterface v7.27.0 [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 v0.4.4 [38540f10] CommonSolve v0.2.9 [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 v0.25.129 [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 v2.31.1 ⌅ [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 v0.2.6 [85f8d34a] NCDatasets v0.14.15 [d41bc354] NLSolversBase v8.0.0 [872c559c] NNlib v0.9.37 [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 v0.11.40 [ce719bf2] PSIS v0.9.10 ⌅ [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.6 [85a6dd25] PositiveFactorizations v0.2.4 [7f36be82] PosteriorStats v0.4.11 [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 v1.2.3 [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 v1.13.0 [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 ⌅ [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 v1.2.0 [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 v1.14.0 [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 v1.13.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.5.5+2 [deac9b47] LibCURL_jll v8.20.0+1 [e37daf67] LibGit2_jll v1.9.4+0 [29816b5a] LibSSH2_jll v1.11.101+0 [14a3606d] MozillaCACerts_jll v2026.5.14 [4536629a] OpenBLAS_jll v0.3.33+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.7+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 v1.69.0+0 [3f19e933] p7zip_jll v17.8.0+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(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:112 [inlined] [3] iterate(::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}) @ DimensionalData ~/.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/v1.14/LinearAlgebra/src/generic.jl:720 [5] norm(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/v1.14/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, DTsource::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, DTsource::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:385 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:781 [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(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:112 [inlined] [3] iterate(::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}) @ DimensionalData ~/.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/v1.14/LinearAlgebra/src/generic.jl:720 [5] norm(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/v1.14/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, DTsource::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, DTsource::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:385 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:781 [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 17m38.8s utils | 27 27 9.1s dimension-related functions | 96 96 11.1s dataset | 72 1 73 15.6s InferenceData | 71 71 54.6s conversion to Dataset | 18 18 9.0s conversion to InferenceData | 81 81 15.8s from_namedtuple | 660 2 662 50.6s from_dict | 656 2 658 24.5s MCMCDiagnosticTools integration | 95 8 103 4m18.9s NCDatasets integration | 174 2 176 2m06.6s to_netcdf/from_netcdf roundtrip | 174 2 176 2m04.7s PosteriorStats integration | 107 8 115 6m36.0s RNG of the outermost testset: Xoshiro(0xf6aa07ff07fe859f, 0x34d2edaa892cdd57, 0xec1686e5fab28262, 0x0793d4b543e035d9, 0x669e44716423227d) 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 1086.27s 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:3247 [3] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:587 [4] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [5] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [6] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [7] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [8] include(mod::Module, _path::String) @ Base Base.jl:325 [9] exec_options(opts::Base.JLOptions) @ Base client.jl:355 [10] _start() @ Base client.jl:596 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 1360.49s: package tests unexpectedly errored