Package evaluation to test InferenceObjects on Julia 1.14.0-DEV.1688 (ee54f91d68*) started at 2026-02-10T03:08:18.173 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 12.63s ################################################################################ # Installation # Installing InferenceObjects... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [b5cf5a8d] + InferenceObjects v0.4.15 Updating `~/.julia/environments/v1.14/Manifest.toml` [a4c015fc] + ANSIColoredPrinters v0.0.1 [79e6a3ab] + Adapt v4.4.0 [4fba245c] + ArrayInterface v7.22.0 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [e2d170a0] + DataValueInterfaces v1.0.0 [0703355e] + DimensionalData v0.29.25 [411431e0] + Extents v0.1.6 [b5cf5a8d] + InferenceObjects v0.4.15 [85a1e053] + Interfaces v0.3.2 [8197267c] + IntervalSets v0.7.13 [41ab1584] + InvertedIndices v1.3.1 [82899510] + IteratorInterfaceExtensions v1.0.0 [bac558e1] + OrderedCollections v1.8.1 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [3cdcf5f2] + RecipesBase v1.3.4 [ae029012] + Requires v1.3.1 [10745b16] + Statistics v1.11.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [56f22d72] + Artifacts v1.11.0 [ade2ca70] + Dates v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.30+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Installation completed after 3.65s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 1759.4 ms ✓ LearnAPI 1080.2 ms ✓ CategoricalArrays → CategoricalArraysStructTypesExt 3318.9 ms ✓ MLCore 1558.0 ms ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 1202.2 ms ✓ BangBang → BangBangChainRulesCoreExt 2.9 ms ✓ BangBang → BangBangTablesExt 1195.1 ms ✓ Roots → RootsChainRulesCoreExt 5424.2 ms ✓ Optim 1805.3 ms ✓ DimensionalData → DimensionalDataCategoricalArraysExt 1837.3 ms ✓ DimensionalData → DimensionalDataDiskArraysExt 2689.3 ms ✓ DimensionalData → DimensionalDataStatsBaseExt 2892.9 ms ✓ DimensionalData → DimensionalDataAbstractFFTsExt 1756.9 ms ✓ DimensionalData → DimensionalDataChainRulesCoreExt 2687.3 ms ✓ InferenceObjects 17.0 ms ✓ NNlib → NNlibSpecialFunctionsExt 3322.9 ms ✓ Distributions → DistributionsChainRulesCoreExt 5076.2 ms ✓ MCMCDiagnosticTools 5365.3 ms ✓ ScientificTypes 2893.3 ms ✓ NNlib → NNlibFFTWExt 15511.8 ms ✓ NCDatasets 11518.5 ms ✓ EvoTrees 17.4 ms ✓ Transducers 4253.3 ms ✓ KernelDensity 5730.0 ms ✓ InferenceObjects → InferenceObjectsMCMCDiagnosticToolsExt 5094.4 ms ✓ CategoricalDistributions 6906.5 ms ✓ InferenceObjects → InferenceObjectsNCDatasetsExt 61.0 ms ✓ Transducers → TransducersAdaptExt 5.9 ms ✓ FLoops 9460.7 ms ✓ PosteriorStats 15127.1 ms ✓ ArviZExampleData 21635.1 ms ✓ MLUtils 8515.1 ms ✓ InferenceObjects → InferenceObjectsPosteriorStatsExt 18606.5 ms ✓ StatisticalMeasuresBase ERROR: LoadError: Precompiled image Base.PkgId(Base.UUID("bedc08ee-2515-548f-b156-215fe950b8cd"), "NNlibSpecialFunctionsExt") not available with flags CacheFlags(; use_pkgimages=false, debug_level=1, check_bounds=1, inline=true, opt_level=0) Stacktrace:  [1] error(s::String)  @ Base ./error.jl:44  [2] __require_prelocked(pkg::Base.PkgId, env::Nothing)  @ Base ./loading.jl:2861  [3] _require_prelocked(uuidkey::Base.PkgId, env::Nothing)  @ Base ./loading.jl:2715  [4] _require_prelocked  @ ./loading.jl:2709 [inlined]  [5] run_extension_callbacks(extid::Base.ExtensionId)  @ Base ./loading.jl:1764  [6] run_extension_callbacks(pkgid::Base.PkgId)  @ Base ./loading.jl:1801  [7] run_package_callbacks(modkey::Base.PkgId)  @ Base ./loading.jl:1617  [8] _require_search_from_serialized(pkg::Base.PkgId, sourcespec::Base.PkgLoadSpec, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String})  @ Base ./loading.jl:2323  [9] _require_search_from_serialized  @ ./loading.jl:2200 [inlined]  [10] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2854  [11] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2715  [12] macro expansion  @ ./loading.jl:2642 [inlined]  [13] macro expansion  @ ./lock.jl:376 [inlined]  [14] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2606  [15] require  @ ./loading.jl:2582 [inlined]  [16] eval_import_path  @ ./module.jl:36 [inlined]  [17] _eval_import(imported::Bool, to::Module, from::Nothing, paths::Expr)  @ Base ./module.jl:111  [18] top-level scope  @ ~/.julia/packages/MLJBase/GY2fM/src/MLJBase.jl:92  [19] include(mod::Module, _path::String)  @ Base ./Base.jl:309  [20] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3309  [21] top-level scope  @ stdin:5  [22] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [23] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3151  [24] include_string  @ ./loading.jl:3161 [inlined]  [25] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:342  [26] _start()  @ Base ./client.jl:585 in expression starting at /home/pkgeval/.julia/packages/MLJBase/GY2fM/src/MLJBase.jl:1 in expression starting at stdin:5 ✗ MLJBase 28 dependencies successfully precompiled in 181 seconds. 252 already precompiled. Precompilation completed after 210.03s ################################################################################ # Testing # Testing InferenceObjects Status `/tmp/jl_PR5A9V/Project.toml` [a4c015fc] ANSIColoredPrinters v0.0.1 [2f96bb34] ArviZExampleData v0.3.0 [0703355e] DimensionalData v0.29.25 ⌅ [f6006082] EvoTrees v0.16.9 [b5cf5a8d] InferenceObjects v0.4.15 [be115224] MCMCDiagnosticTools v0.3.16 ⌃ [a7f614a8] MLJBase v1.9.2 [85f8d34a] NCDatasets v0.14.11 [6fe1bfb0] OffsetArrays v1.17.0 [bac558e1] OrderedCollections v1.8.1 [7f36be82] PosteriorStats v0.4.7 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.10 [bd369af6] Tables v1.12.1 [ade2ca70] Dates v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_PR5A9V/Manifest.toml` [47edcb42] ADTypes v1.21.0 [a4c015fc] ANSIColoredPrinters v0.0.1 [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.22.0 [2f96bb34] ArviZExampleData v0.3.0 [a9b6321e] Atomix v1.1.2 [13072b0f] AxisAlgorithms v1.1.0 [fbb218c0] BSON v0.3.9 [198e06fe] BangBang v0.4.7 [9718e550] Baselet v0.1.1 [d1d4a3ce] BitFlags v0.1.9 [179af706] CFTime v0.2.5 ⌅ [324d7699] CategoricalArrays v0.10.9 ⌅ [af321ab8] CategoricalDistributions v0.1.15 [d360d2e6] ChainRulesCore v1.26.0 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 [1fbeeb36] CommonDataModel v0.4.2 [38540f10] CommonSolve v0.2.6 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [f0e56b4a] ConcurrentUtilities v2.5.0 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [124859b0] DataDeps v0.7.13 [864edb3b] DataStructures v0.19.3 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [a0c0ee7d] DifferentiationInterface v0.7.16 [0703355e] DimensionalData v0.29.25 [3c3547ce] DiskArrays v0.4.19 [31c24e10] Distributions v0.25.123 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.6 ⌅ [f6006082] EvoTrees v0.16.9 [460bff9d] ExceptionUnwrapping v0.1.11 [411431e0] Extents v0.1.6 [b86e33f2] FFTA v0.3.1 [7a1cc6ca] FFTW v1.10.0 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [1a297f60] FillArrays v1.16.0 [6a86dc24] FiniteDiff v2.29.0 [53c48c17] FixedPointNumbers v0.8.5 [46192b85] GPUArraysCore v0.2.0 [5c1252a2] GeometryBasics v0.5.10 [cd3eb016] HTTP v1.10.19 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [b5cf5a8d] InferenceObjects v0.4.15 [22cec73e] InitialValues v0.3.1 [18e54dd8] IntegerMathUtils v0.1.3 [85a1e053] Interfaces v0.3.2 [a98d9a8b] Interpolations v0.16.2 [8197267c] IntervalSets v0.7.13 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [0f8b85d8] JSON3 v1.14.3 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.39 [5ab0869b] KernelDensity v0.6.11 [8ac3fa9e] LRUCache v1.6.2 [b964fa9f] LaTeXStrings v1.4.0 ⌅ [92ad9a40] LearnAPI v1.0.1 [d3d80556] LineSearches v7.6.0 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 [be115224] MCMCDiagnosticTools v0.3.16 [c2834f40] MLCore v1.0.0 ⌃ [a7f614a8] MLJBase v1.9.2 [e80e1ace] MLJModelInterface v1.12.1 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [3da0fdf6] MPIPreferences v0.1.11 [1914dd2f] MacroTools v0.5.16 [739be429] MbedTLS v1.1.9 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [46d2c3a1] MuladdMacro v0.2.4 [85f8d34a] NCDatasets v0.14.11 [d41bc354] NLSolversBase v8.0.0 [872c559c] NNlib v0.9.33 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 [46757867] NetworkLayout v0.4.10 [6fe1bfb0] OffsetArrays v1.17.0 [4d8831e6] OpenSSL v1.6.1 [429524aa] Optim v2.0.1 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.37 [ce719bf2] PSIS v0.9.8 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [85a6dd25] PositiveFactorizations v0.2.4 [7f36be82] PosteriorStats v0.4.7 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.1 [8162dcfd] PrettyPrint v0.2.0 ⌅ [08abe8d2] PrettyTables v2.4.0 [27ebfcd6] Primes v0.5.7 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [c84ed2f1] Ratios v0.4.5 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 [f2b01f46] Roots v2.2.10 ⌃ [321657f4] ScientificTypes v3.1.1 [30f210dd] ScientificTypesBase v3.1.0 [7e506255] ScopedValues v1.5.0 [6c6a2e73] Scratch v1.3.0 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [777ac1f9] SimpleBufferStream v1.2.0 [699a6c99] SimpleTraits v0.9.5 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.6.1 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.16 [1e83bf80] StaticArraysCore v1.4.4 [c062fc1d] 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[1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.18.0+0 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.30+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 [3f19e933] p7zip_jll v17.7.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... ┌ Warning: (Dim{:dima}, Dim{:dimb}) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/FWnw9/src/Dimensions/primitives.jl:852 ┌ Warning: (Dim{:dima}, Dim{:dimb}) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/FWnw9/src/Dimensions/primitives.jl:852 ┌ Warning: (Dim{:dimy},) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/FWnw9/src/Dimensions/primitives.jl:852 ┌ Warning: (Dim{:dimy},) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/FWnw9/src/Dimensions/primitives.jl:852 ┌ Warning: (Dim{:dimb},) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/FWnw9/src/Dimensions/primitives.jl:852 ┌ Warning: (Dim{:dimb},) dims were not found in object. └ @ DimensionalData.Dimensions ~/.julia/packages/DimensionalData/FWnw9/src/Dimensions/primitives.jl:852 to_netcdf/from_netcdf roundtrip: Error During Test at /home/pkgeval/.julia/packages/InferenceObjects/KY7tC/test/test_helpers.jl:80 Test threw exception Expression: da1 ≈ da2 MethodError: no method matching OffsetArray(::Float64, ::CartesianIndices{0, Tuple{}}) The type `OffsetArray` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: OffsetArray(!Matched::AbstractArray, ::Any...; kw...) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:207 OffsetArray(!Matched::AbstractArray, !Matched::OffsetArrays.Origin; checkoverflow) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:210 OffsetArray(!Matched::OffsetArray, !Matched::Tuple{Vararg{Int64}}; checkoverflow) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:179 ... Stacktrace: [1] _iterate_disk(a::CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}) @ DiskArrays ~/.julia/packages/DiskArrays/uMiMX/src/iterator.jl:104 [2] iterate @ ~/.julia/packages/DiskArrays/uMiMX/src/iterator.jl:112 [inlined] [3] iterate @ ~/.julia/packages/DimensionalData/FWnw9/src/array/array.jl:107 [inlined] [4] norm_recursive_check(itr::DimArray{Float64, 0, Tuple{}, Tuple{}, CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, Symbol, NoMetadata}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/generic.jl:720 [5] norm @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/generic.jl:716 [inlined] [6] isapprox(x::DimArray{Float64, 0, Tuple{}, Tuple{}, Array{Float64, 0}, Symbol, NoMetadata}, y::DimArray{Float64, 0, Tuple{}, Tuple{}, CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, Symbol, NoMetadata}; atol::Int64, rtol::Float64, nans::Bool, norm::typeof(LinearAlgebra.norm)) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/generic.jl:2009 [7] isapprox(x::DimArray{Float64, 0, Tuple{}, Tuple{}, Array{Float64, 0}, Symbol, NoMetadata}, y::DimArray{Float64, 0, Tuple{}, Tuple{}, CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, Symbol, NoMetadata}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/generic.jl:2003 [8] eval_test_comparison(comparison::Expr, quoted::Expr, source::LineNumberNode, negate::Bool) @ Test /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:383 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:779 [inlined] [10] test_idata_approx_equal(idata1::InferenceData{(:posterior, :posterior_predictive, :sample_stats, :prior, :prior_predictive, :observed_data), Tuple{Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:dimb, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Bool, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::Matrix{Bool}, energy::Matrix{Float64}, n_steps::Matrix{Int64}}, DimStack{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Bool, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::Matrix{Bool}, energy::Matrix{Float64}, n_steps::Matrix{Int64}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata, NoMetadata}}}, Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:dimb, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::Matrix{Float64}, v::Array{Float64, 0}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::Matrix{Float64}, v::Array{Float64, 0}}, Tuple{Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}}}, idata2::InferenceData{(:posterior, :posterior_predictive, :sample_stats, :prior, :prior_predictive, :observed_data), Tuple{Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, NoLookup{Base.OneTo{Int64}}}, Dim{:dimb, Sampled{Int64, Vector{Int64}, ForwardOrdered, Irregular{Tuple{Nothing, Nothing}}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Int8, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::CommonDataModel.CFVariable{Int8, 2, NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, energy::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, n_steps::CommonDataModel.CFVariable{Int64, 2, NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Int8, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::CommonDataModel.CFVariable{Int8, 2, NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, energy::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, n_steps::CommonDataModel.CFVariable{Int64, 2, NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{CommonDataModel.Attributes{NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, NoMetadata, NoMetadata}}}, Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, NoLookup{Base.OneTo{Int64}}}, Dim{:dimb, Sampled{Int64, Vector{Int64}, ForwardOrdered, Irregular{Tuple{Nothing, Nothing}}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}}}; check_metadata::Bool, check_eltypes::Bool) @ Main ~/.julia/packages/InferenceObjects/KY7tC/test/test_helpers.jl:80 to_netcdf/from_netcdf roundtrip: Error During Test at /home/pkgeval/.julia/packages/InferenceObjects/KY7tC/test/test_helpers.jl:80 Test threw exception Expression: da1 ≈ da2 MethodError: no method matching OffsetArray(::Float64, ::CartesianIndices{0, Tuple{}}) The type `OffsetArray` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: OffsetArray(!Matched::AbstractArray, ::Any...; kw...) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:207 OffsetArray(!Matched::AbstractArray, !Matched::OffsetArrays.Origin; checkoverflow) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:210 OffsetArray(!Matched::OffsetArray, !Matched::Tuple{Vararg{Int64}}; checkoverflow) @ OffsetArrays ~/.julia/packages/OffsetArrays/b7qpm/src/OffsetArrays.jl:179 ... Stacktrace: [1] _iterate_disk(a::CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}) @ DiskArrays ~/.julia/packages/DiskArrays/uMiMX/src/iterator.jl:104 [2] iterate @ ~/.julia/packages/DiskArrays/uMiMX/src/iterator.jl:112 [inlined] [3] iterate @ ~/.julia/packages/DimensionalData/FWnw9/src/array/array.jl:107 [inlined] [4] norm_recursive_check(itr::DimArray{Float64, 0, Tuple{}, Tuple{}, CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, Symbol, NoMetadata}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/generic.jl:720 [5] norm @ /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/generic.jl:716 [inlined] [6] isapprox(x::DimArray{Float64, 0, Tuple{}, Tuple{}, Array{Float64, 0}, Symbol, NoMetadata}, y::DimArray{Float64, 0, Tuple{}, Tuple{}, CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, Symbol, NoMetadata}; atol::Int64, rtol::Float64, nans::Bool, norm::typeof(LinearAlgebra.norm)) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/generic.jl:2009 [7] isapprox(x::DimArray{Float64, 0, Tuple{}, Tuple{}, Array{Float64, 0}, Symbol, NoMetadata}, y::DimArray{Float64, 0, Tuple{}, Tuple{}, CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, Symbol, NoMetadata}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.14/LinearAlgebra/src/generic.jl:2003 [8] eval_test_comparison(comparison::Expr, quoted::Expr, source::LineNumberNode, negate::Bool) @ Test /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:383 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:779 [inlined] [10] test_idata_approx_equal(idata1::InferenceData{(:posterior, :posterior_predictive, :sample_stats, :prior, :prior_predictive, :observed_data), Tuple{Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:dimb, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Bool, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::Matrix{Bool}, energy::Matrix{Float64}, n_steps::Matrix{Int64}}, DimStack{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Bool, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::Matrix{Bool}, energy::Matrix{Float64}, n_steps::Matrix{Int64}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata, NoMetadata}}}, Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::Array{Float64, 4}, b::Array{Float64, 4}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:dimb, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::Array{Float64, 4}, v::Matrix{Float64}}, Tuple{Dim{:draw, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:chain, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::Matrix{Float64}, v::Array{Float64, 0}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::Matrix{Float64}, v::Array{Float64, 0}}, Tuple{Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{}}, Dict{String, Any}, Tuple{NoMetadata, NoMetadata}}}}}, idata2::InferenceData{(:posterior, :posterior_predictive, :sample_stats, :prior, :prior_predictive, :observed_data), Tuple{Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, NoLookup{Base.OneTo{Int64}}}, Dim{:dimb, Sampled{Int64, Vector{Int64}, ForwardOrdered, Irregular{Tuple{Nothing, Nothing}}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Int8, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::CommonDataModel.CFVariable{Int8, 2, NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, energy::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, n_steps::CommonDataModel.CFVariable{Int64, 2, NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:diverging, :energy, :n_steps), @NamedTuple{diverging::Int8, energy::Float64, n_steps::Int64}, 2, @NamedTuple{diverging::CommonDataModel.CFVariable{Int8, 2, NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, energy::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, n_steps::CommonDataModel.CFVariable{Int64, 2, NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Int64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{CommonDataModel.Attributes{NCDatasets.Variable{Int8, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, NoMetadata, NoMetadata}}}, Dataset{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:a, :b), @NamedTuple{a::Float64, b::Float64}, 5, @NamedTuple{a::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, b::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dima, NoLookup{Base.OneTo{Int64}}}, Dim{:dimb, Sampled{Int64, Vector{Int64}, ForwardOrdered, Irregular{Tuple{Nothing, Nothing}}, Points, NoMetadata}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dima, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimb, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 4, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 4, NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 4, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:draw, NoLookup{Base.OneTo{Int64}}}, Dim{:chain, NoLookup{Base.OneTo{Int64}}}, Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}, Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{Dim{:draw, Colon}, Dim{:chain, Colon}}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}, Dataset{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, DimStack{(:y, :v), @NamedTuple{y::Float64, v::Float64}, 2, @NamedTuple{y::CommonDataModel.CFVariable{Float64, 2, NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 2, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}, v::CommonDataModel.CFVariable{Float64, 0, NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, CommonDataModel.Attributes{NCDatasets.Variable{Float64, 0, NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}}, @NamedTuple{fillvalue::Nothing, missing_values::Tuple{}, scale_factor::Nothing, add_offset::Nothing, calendar::Nothing, time_origin::Nothing, time_factor::Nothing, maskingvalue::Missing}}}, Tuple{Dim{:shared, Categorical{String, Vector{String}, ForwardOrdered, NoMetadata}}, Dim{:dimy, NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{Dim{:shared, Colon}, Dim{:dimy, Colon}}, Tuple{}}, CommonDataModel.Attributes{NCDatasets.NCDataset{NCDatasets.NCDataset{Nothing, Missing}, Missing}}, Tuple{NoMetadata, NoMetadata}}}}}; check_metadata::Bool, check_eltypes::Bool) @ Main ~/.julia/packages/InferenceObjects/KY7tC/test/test_helpers.jl:80 ┌ Warning: 1 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable. └ @ PSIS ~/.julia/packages/PSIS/4tW5l/src/core.jl:373 ┌ Warning: 1 parameters had Pareto shape values 0.7 < k ≤ 1. Resulting importance sampling estimates are likely to be unstable. └ @ PSIS ~/.julia/packages/PSIS/4tW5l/src/core.jl:373 Test Summary: | Pass Error Broken Total Time InferenceObjects | 2057 2 21 2080 18m49.1s utils | 27 27 11.3s dimension-related functions | 96 96 11.3s dataset | 72 1 73 16.0s InferenceData | 71 71 59.3s conversion to Dataset | 18 18 15.7s conversion to InferenceData | 81 81 21.5s from_namedtuple | 660 2 662 60.0s from_dict | 656 2 658 26.4s MCMCDiagnosticTools integration | 95 8 103 4m17.3s NCDatasets integration | 174 2 176 1m56.7s to_netcdf/from_netcdf roundtrip | 174 2 176 1m54.1s PosteriorStats integration | 107 8 115 6m04.9s RNG of the outermost testset: Xoshiro(0xf45698f1c44218d1, 0x9c9583c6b68b8ce2, 0x1164f69233d39356, 0xfbbf4ee96f485e26, 0x034b1d82f601332f) ERROR: LoadError: Some tests did not pass: 2057 passed, 0 failed, 2 errored, 21 broken. in expression starting at /home/pkgeval/.julia/packages/InferenceObjects/KY7tC/test/runtests.jl:3 Testing failed after 1148.13s 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:3122 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:2987 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:572 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:548 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [12] include(mod::Module, _path::String) @ Base ./Base.jl:309 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [14] _start() @ Base ./client.jl:585 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 1400.56s: package tests unexpectedly errored