Package evaluation to test BAT on Julia 1.13.0-DEV.1324 (c1d413cf8a*) started at 2025-10-17T22:42:19.673 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 10.67s ################################################################################ # Installation # Installing BAT... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [c0cd4b16] + BAT v4.0.4 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.18.0 [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.4.0 [2c83c9a8] + AffineMaps v0.3.3 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [65a8f2f4] + ArraysOfArrays v0.6.6 [6e1301d5] + AutoDiffOperators v0.3.0 [13072b0f] + AxisAlgorithms v1.1.0 [c0cd4b16] + BAT v4.0.4 [49dc2e85] + Calculus v0.5.2 [082447d4] + ChainRules v1.72.6 [d360d2e6] + ChainRulesCore v1.26.0 [9e997f8a] + ChangesOfVariables v0.1.10 [aaaa29a8] + Clustering v0.15.8 [3da002f7] + ColorTypes v0.12.1 [5ae59095] + Colors v0.13.1 [861a8166] + Combinatorics v1.0.3 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [b152e2b5] + CompositeTypes v0.1.4 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.1 [e2d170a0] + DataValueInterfaces v1.0.0 [8bb1440f] + DelimitedFiles v1.9.1 [b429d917] + DensityInterface v0.4.0 [85a47980] + Dictionaries v0.4.5 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.9 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.122 [ced4e74d] + DistributionsAD v0.6.58 [ffbed154] + DocStringExtensions v0.9.5 [5b8099bc] + DomainSets v0.7.16 [497a8b3b] + DoubleFloats v1.4.3 [fdbdab4c] + ElasticArrays v1.2.12 [547eee1f] + ElasticClusterManager v2.0.0 [0bbb1fad] + EmpiricalDistributions v0.3.10 [7a1cc6ca] + FFTW v1.10.0 [1a297f60] + FillArrays v1.14.0 [53c48c17] + FixedPointNumbers v0.8.5 [f6369f11] + ForwardDiff v1.2.2 [450a3b6d] + ForwardDiffPullbacks v0.2.7 [8e6b2b91] + FunctionChains v0.2.3 [069b7b12] + FunctionWrappers v1.1.3 [d9f16b24] + Functors v0.5.2 [46192b85] + GPUArraysCore v0.2.0 [14197337] + GenericLinearAlgebra v0.3.18 [2182be2a] + HeterogeneousComputing v0.2.4 [34004b35] + HypergeometricFunctions v0.3.28 [09f84164] + HypothesisTests v0.11.5 [615f187c] + IfElse v0.1.1 [313cdc1a] + Indexing v1.1.1 [a98d9a8b] + Interpolations v0.16.2 [8197267c] + IntervalSets v0.7.11 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [5ab0869b] + KernelDensity v0.6.10 [b964fa9f] + LaTeXStrings v1.4.0 [e5afb96c] + LazyReports v0.2.3 [2ab3a3ac] + LogExpFunctions v0.3.29 [aa2f6b4e] + LogarithmicNumbers v1.4.1 [6c6e2e6c] + MIMEs v1.1.0 [7e8f7934] + MLDataDevices v1.13.0 [1914dd2f] + MacroTools v0.5.16 [dbb5928d] + MappedArrays v0.4.2 [fa1605e6] + MeasureBase v0.14.13 [eff96d63] + Measurements v2.14.0 [e1d29d7a] + Missings v1.2.0 [77ba4419] + NaNMath v1.1.3 [86f7a689] + NamedArrays v0.10.5 [b8a86587] + NearestNeighbors v0.4.22 [6fe1bfb0] + OffsetArrays v1.17.0 [762dc654] + OneTwoMany v0.1.2 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [8e8a01fc] + ParallelProcessingTools v0.4.9 [d96e819e] + Parameters v0.12.3 [f27b6e38] + Polynomials v4.1.0 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [54e16d92] + PrettyPrinting v0.4.2 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [be4d8f0f] + Quadmath v0.5.13 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [c84ed2f1] + Ratios v0.4.5 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [f2b01f46] + Roots v2.2.10 [431bcebd] + SciMLPublic v1.0.0 [efcf1570] + Setfield v1.1.2 [ed01d8cd] + Sobol v1.5.0 [a2af1166] + SortingAlgorithms v1.2.2 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.6.1 [03a91e81] + SplitApplyCombine v1.2.3 [860ef19b] + StableRNGs v1.0.3 [aedffcd0] + Static v1.3.0 [90137ffa] + StaticArrays v1.9.15 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.6 [4c63d2b9] + StatsFuns v1.5.0 [09ab397b] + StructArrays v0.7.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [410a4b4d] + Tricks v0.1.12 [9d95f2ec] + TypedTables v1.4.6 [3a884ed6] + UnPack v1.0.2 [136a8f8c] + ValueShapes v0.11.3 [efce3f68] + WoodburyMatrices v1.0.0 [700de1a5] + ZygoteRules v0.2.7 [f5851436] + FFTW_jll v3.3.11+0 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0 [856f044c] + MKL_jll v2025.2.0+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [1317d2d5] + oneTBB_jll v2022.0.0+1 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.16.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.9.9 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.46.0+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 v1.67.1+0 [3f19e933] + p7zip_jll v17.6.0+0 Installation completed after 6.83s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:76 Precompiling package dependencies... Precompilation completed after 533.66s ################################################################################ # Testing # Testing BAT 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_3l6mgu/Project.toml` ⌅ [80f14c24] + AbstractMCMC v4.4.2 ⌃ [0bf59076] + AdvancedHMC v0.6.1 [4c88cf16] + Aqua v0.8.14 [c0cd4b16] + BAT v4.0.4 [91d0e2c9] + BATTestCases v0.1.0 [8a292aeb] + Cuba v2.3.0 ⌅ [f6369f11] ↓ ForwardDiff v1.2.2 ⇒ v0.10.39 [f67ccb44] + HDF5 v0.17.2 [fdae7790] + MGVI v0.4.4 [41ceaf6f] + NestedSamplers v0.8.3 [429524aa] + Optim v1.13.2 [36348300] + OptimizationOptimJL v0.4.6 [5d786b92] + TerminalLoggers v0.1.7 [e88e6eb3] + Zygote v0.7.10 Updating `/tmp/jl_3l6mgu/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 ⌅ [80f14c24] + AbstractMCMC v4.4.2 [1520ce14] + AbstractTrees v0.4.5 ⌅ [c75e803d] + AdaptiveRejectionSampling v0.1.2 ⌃ [0bf59076] + AdvancedHMC v0.6.1 [4c88cf16] + Aqua v0.8.14 [4fba245c] + ArrayInterface v7.21.0 [4c555306] + ArrayLayouts v1.12.0 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.8 [c0cd4b16] + BAT v4.0.4 [91d0e2c9] + BATTestCases v0.1.0 ⌅ [198e06fe] + BangBang v0.3.37 [9718e550] + Baselet v0.1.1 [aaaa29a8] + Clustering v0.15.8 [3da002f7] + ColorTypes v0.12.1 [5ae59095] + Colors v0.13.1 [b152e2b5] + CompositeTypes v0.1.4 [2569d6c7] + ConcreteStructs v0.2.3 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [a8cc5b0e] + Crayons v4.1.1 [8a292aeb] + Cuba v2.3.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [b4f34e82] + Distances v0.10.12 [5b8099bc] + DomainSets v0.7.16 [497a8b3b] + DoubleFloats v1.4.3 [4e289a0a] + EnumX v1.0.5 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [7a1cc6ca] + FFTW v1.10.0 [9aa1b823] + FastClosures v0.3.2 [6a86dc24] + FiniteDiff v2.29.0 [53c48c17] + FixedPointNumbers v0.8.5 ⌅ [f6369f11] ↓ ForwardDiff v1.2.2 ⇒ v0.10.39 [450a3b6d] + ForwardDiffPullbacks v0.2.7 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [14197337] + GenericLinearAlgebra v0.3.18 [f67ccb44] + HDF5 v0.17.2 [7869d1d1] + IRTools v0.4.15 [22cec73e] + InitialValues v0.3.1 [505f98c9] + InplaceOps v0.3.0 [a98d9a8b] + Interpolations v0.16.2 [41ab1584] + InvertedIndices v1.3.1 [c8e1da08] + IterTools v1.10.0 [42fd0dbc] + IterativeSolvers v0.9.4 [ae98c720] + Jieko v0.2.1 [5ab0869b] + KernelDensity v0.6.10 [ba0b0d4f] + Krylov v0.10.2 [b964fa9f] + LaTeXStrings v1.4.0 [5078a376] + LazyArrays v2.8.0 [1d6d02ad] + LeftChildRightSiblingTrees v0.2.1 [d3d80556] + LineSearches v7.4.0 [7a12625a] + LinearMaps v3.11.4 [7ed4a6bd] + LinearSolve v3.44.0 [6fdf6af0] + LogDensityProblems v2.2.0 [996a588d] + LogDensityProblemsAD v1.13.1 [e6f89c97] + LoggingExtras v1.2.0 ⌅ [c7f686f2] + MCMCChains v6.0.7 [be115224] + MCMCDiagnosticTools v0.3.15 [fdae7790] + MGVI v0.4.4 [e80e1ace] + MLJModelInterface v1.12.0 [3da0fdf6] + MPIPreferences v0.1.11 ⌅ [128add7d] + MicroCollections v0.1.4 [2e0e35c7] + Moshi v0.3.7 [d41bc354] + NLSolversBase v7.10.0 [86f7a689] + NamedArrays v0.10.5 [c020b1a1] + NaturalSort v1.0.0 [b8a86587] + NearestNeighbors v0.4.22 [41ceaf6f] + NestedSamplers v0.8.3 [6fe1bfb0] + OffsetArrays v1.17.0 [762dc654] + OneTwoMany v0.1.2 [429524aa] + Optim v1.13.2 [bca83a33] + OptimizationBase v3.3.1 [36348300] + OptimizationOptimJL v0.4.6 [f27b6e38] + Polynomials v4.1.0 [85a6dd25] + PositiveFactorizations v0.2.4 [d236fae5] + PreallocationTools v0.4.34 ⌅ [08abe8d2] + PrettyTables v2.4.0 [33c8b6b6] + ProgressLogging v0.1.5 [92933f4c] + ProgressMeter v1.11.0 [be4d8f0f] + Quadmath v0.5.13 [b3c3ace0] + RangeArrays v0.3.2 [c84ed2f1] + Ratios v0.4.5 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.39.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 [0bca4576] + SciMLBase v2.121.1 [c0aeaf25] + SciMLOperators v1.9.0 [53ae85a6] + SciMLStructures v1.7.0 [30f210dd] + ScientificTypesBase v3.0.0 [efcf1570] + Setfield v1.1.2 [ce78b400] + SimpleUnPack v1.1.0 [ed01d8cd] + Sobol v1.5.0 [9f842d2f] + SparseConnectivityTracer v1.1.1 [0a514795] + SparseMatrixColorings v0.4.22 [171d559e] + SplittablesBase v0.1.15 [64bff920] + StatisticalTraits v3.5.0 [892a3eda] + StringManipulation v0.4.1 ⌃ [2efcf032] + SymbolicIndexingInterface v0.3.44 [5d786b92] + TerminalLoggers v0.1.7 ⌃ [28d57a85] + Transducers v0.4.80 [efce3f68] + WoodburyMatrices v1.0.0 [e88e6eb3] + Zygote v0.7.10 [3bed1096] + Cuba_jll v4.2.2+1 [f5851436] + FFTW_jll v3.3.11+0 [0234f1f7] + HDF5_jll v1.14.6+0 [e33a78d0] + Hwloc_jll v2.12.2+0 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0 [94ce4f54] + Libiconv_jll v1.18.0+0 [856f044c] + MKL_jll v2025.2.0+0 [7cb0a576] + MPICH_jll v4.3.1+0 [f1f71cc9] + MPItrampoline_jll v5.5.4+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [fe0851c0] + OpenMPI_jll v5.0.8+0 ⌅ [02c8fc9c] + XML2_jll v2.13.9+0 [a65dc6b1] + Xorg_libpciaccess_jll v0.18.1+0 [477f73a3] + libaec_jll v1.1.4+0 [1317d2d5] + oneTBB_jll v2022.0.0+1 [9fa8497b] + Future v1.11.0 [4af54fe1] + LazyArtifacts v1.11.0 [a63ad114] + Mmap v1.11.0 [3fa0cd96] + REPL v1.11.0 [1a1011a3] + SharedArrays v1.11.0 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_3l6mgu/Project.toml` ⌅ [80f14c24] AbstractMCMC v4.4.2 ⌃ [0bf59076] AdvancedHMC v0.6.1 [2c83c9a8] AffineMaps v0.3.3 [4c88cf16] Aqua v0.8.14 [65a8f2f4] ArraysOfArrays v0.6.6 [6e1301d5] AutoDiffOperators v0.3.0 [c0cd4b16] BAT v4.0.4 [91d0e2c9] BATTestCases v0.1.0 [9e997f8a] ChangesOfVariables v0.1.10 [8a292aeb] Cuba v2.3.0 [b429d917] DensityInterface v0.4.0 [31c24e10] Distributions v0.25.122 [ced4e74d] DistributionsAD v0.6.58 [fdbdab4c] ElasticArrays v1.2.12 [0bbb1fad] EmpiricalDistributions v0.3.10 [1a297f60] FillArrays v1.14.0 ⌅ [f6369f11] ForwardDiff v0.10.39 [8e6b2b91] FunctionChains v0.2.3 [f67ccb44] HDF5 v0.17.2 [2182be2a] HeterogeneousComputing v0.2.4 [09f84164] HypothesisTests v0.11.5 [8197267c] IntervalSets v0.7.11 [3587e190] InverseFunctions v0.1.17 [e5afb96c] LazyReports v0.2.3 [fdae7790] MGVI v0.4.4 [fa1605e6] MeasureBase v0.14.13 [eff96d63] Measurements v2.14.0 [41ceaf6f] NestedSamplers v0.8.3 [429524aa] Optim v1.13.2 [36348300] OptimizationOptimJL v0.4.6 [90014a1f] PDMats v0.11.35 [8e8a01fc] ParallelProcessingTools v0.4.9 [1fd47b50] QuadGK v2.11.2 [74087812] Random123 v1.7.1 [860ef19b] StableRNGs v1.0.3 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.6 [09ab397b] StructArrays v0.7.1 [bd369af6] Tables v1.12.1 [5d786b92] TerminalLoggers v0.1.7 [9d95f2ec] TypedTables v1.4.6 [3a884ed6] UnPack v1.0.2 [136a8f8c] ValueShapes v0.11.3 [e88e6eb3] Zygote v0.7.10 [8ba89e20] Distributed v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_3l6mgu/Manifest.toml` [47edcb42] ADTypes v1.18.0 [621f4979] AbstractFFTs v1.5.0 ⌅ [80f14c24] AbstractMCMC v4.4.2 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.4.0 ⌅ [c75e803d] AdaptiveRejectionSampling v0.1.2 ⌃ [0bf59076] AdvancedHMC v0.6.1 [2c83c9a8] AffineMaps v0.3.3 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.14 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.21.0 [4c555306] ArrayLayouts v1.12.0 [65a8f2f4] ArraysOfArrays v0.6.6 [6e1301d5] AutoDiffOperators v0.3.0 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.8 [c0cd4b16] BAT v4.0.4 [91d0e2c9] BATTestCases v0.1.0 ⌅ [198e06fe] BangBang v0.3.37 [9718e550] Baselet v0.1.1 [49dc2e85] Calculus v0.5.2 [082447d4] ChainRules v1.72.6 [d360d2e6] ChainRulesCore v1.26.0 [9e997f8a] ChangesOfVariables v0.1.10 [aaaa29a8] Clustering v0.15.8 [3da002f7] ColorTypes v0.12.1 [5ae59095] Colors v0.13.1 [861a8166] Combinatorics v1.0.3 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [b152e2b5] CompositeTypes v0.1.4 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [88cd18e8] ConsoleProgressMonitor v0.1.2 [187b0558] ConstructionBase v1.6.0 [a8cc5b0e] Crayons v4.1.1 [8a292aeb] Cuba v2.3.0 [9a962f9c] DataAPI v1.16.0 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... [ Info: Running tests with 1 Julia threads active. test_findmode OptimizationAlg: Error During Test at /home/pkgeval/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:26 Got exception outside of a @test MethodError: no method matching bat_findmode_impl(::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#64#65"}, BAT.BATDistMeasure{NamedTupleDist{(:x, :c, :a), Tuple{Normal{Float64}, ConstValueDist{Multivariate, Vector{Int64}}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Int64}, true}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, ::OptimizationAlg{NelderMead{Optim.AffineSimplexer, Optim.AdaptiveParameters}, DoNotTransform, InitFromTarget}, ::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) The function `bat_findmode_impl` exists, but no method is defined for this combination of argument types. Closest candidates are: bat_findmode_impl(::Union{AbstractMeasure, Distribution, StructArrays.StructArray{DensitySample{P, T, W, R, Q}, 1, @NamedTuple{v::PV, logd::TV, weight::WV, info::RV, aux::QV}} where {P, T<:AbstractFloat, W<:Real, R, Q, PV<:AbstractVector{P}, TV<:AbstractVector{T}, WV<:AbstractVector{W}, RV<:AbstractVector{R}, QV<:AbstractVector{Q}}}, !Matched::OptimAlg, ::BATContext) @ BATOptimExt ~/.julia/packages/BAT/yelYL/ext/BATOptimExt.jl:40 bat_findmode_impl(::Union{AbstractMeasure, Distribution, StructArrays.StructArray{DensitySample{P, T, W, R, Q}, 1, @NamedTuple{v::PV, logd::TV, weight::WV, info::RV, aux::QV}} where {P, T<:AbstractFloat, W<:Real, R, Q, PV<:AbstractVector{P}, TV<:AbstractVector{T}, WV<:AbstractVector{W}, RV<:AbstractVector{R}, QV<:AbstractVector{Q}}}, !Matched::ModeAsDefined, ::BATContext) @ BAT ~/.julia/packages/BAT/yelYL/src/optimization/findmode_simple.jl:18 bat_findmode_impl(!Matched::Distribution, !Matched::ModeAsDefined, ::BATContext) @ BAT ~/.julia/packages/BAT/yelYL/src/optimization/findmode_simple.jl:22 ... Stacktrace: [1] bat_findmode(target::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#64#65"}, BAT.BATDistMeasure{NamedTupleDist{(:x, :c, :a), Tuple{Normal{Float64}, ConstValueDist{Multivariate, Vector{Int64}}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Int64}, true}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, algorithm::OptimizationAlg{NelderMead{Optim.AffineSimplexer, Optim.AdaptiveParameters}, DoNotTransform, InitFromTarget}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/algotypes/mode_estimator.jl:48 [2] macro expansion @ ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:30 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [4] (::var"#test_findmode#test_findmode##0"{var"#test_findmode#63#66"{@NamedTuple{x::Float64, c::Vector{Int64}, a::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}}, Vector{Float64}}})(posterior::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#64#65"}, BAT.BATDistMeasure{NamedTupleDist{(:x, :c, :a), Tuple{Normal{Float64}, ConstValueDist{Multivariate, Vector{Int64}}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Int64}, true}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, algorithm::OptimizationAlg{NelderMead{Optim.AffineSimplexer, Optim.AdaptiveParameters}, DoNotTransform, InitFromTarget}, rtol::Float64, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}; inferred::Bool) @ Main ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:27 [5] kwcall(::@NamedTuple{inferred::Bool}, ::var"#test_findmode#test_findmode##0"{var"#test_findmode#63#66"{@NamedTuple{x::Float64, c::Vector{Int64}, a::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}}, Vector{Float64}}}, posterior::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#64#65"}, BAT.BATDistMeasure{NamedTupleDist{(:x, :c, :a), Tuple{Normal{Float64}, ConstValueDist{Multivariate, Vector{Int64}}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Int64}, true}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, algorithm::OptimizationAlg{NelderMead{Optim.AffineSimplexer, Optim.AdaptiveParameters}, DoNotTransform, InitFromTarget}, rtol::Float64, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ Main ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:25 [6] top-level scope @ ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:11 [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [8] macro expansion @ ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:102 [inlined] [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [10] macro expansion @ ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:104 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ ~/.julia/packages/BAT/yelYL/test/optimization/test_optimization.jl:6 [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [14] macro expansion @ ~/.julia/packages/BAT/yelYL/test/optimization/test_optimization.jl:6 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:21 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [18] macro expansion @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:30 [inlined] [19] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [20] top-level scope @ none:6 [21] eval(m::Module, e::Any) @ Core ./boot.jl:489 [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [23] _start() @ Base ./client.jl:577 Optimization.jl - NelderMead: Error During Test at /home/pkgeval/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:101 Got exception outside of a @test UndefVarError: `Optimization` not defined in `Main` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] top-level scope @ ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:11 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [3] macro expansion @ ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:102 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [5] macro expansion @ ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:108 [inlined] [6] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [7] top-level scope @ ~/.julia/packages/BAT/yelYL/test/optimization/test_optimization.jl:6 [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [9] macro expansion @ ~/.julia/packages/BAT/yelYL/test/optimization/test_optimization.jl:6 [inlined] [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:21 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [13] macro expansion @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:30 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ none:6 [16] eval(m::Module, e::Any) @ Core ./boot.jl:489 [17] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [18] _start() @ Base ./client.jl:577 test_findmode OptimizationAlg: Error During Test at /home/pkgeval/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:26 Got exception outside of a @test MethodError: no method matching bat_findmode_impl(::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#64#65"}, BAT.BATDistMeasure{NamedTupleDist{(:x, :c, :a), Tuple{Normal{Float64}, ConstValueDist{Multivariate, Vector{Int64}}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Int64}, true}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, ::OptimizationAlg{ParticleSwarm{Vector{Any}, Vector{Any}}, DoNotTransform, InitFromTarget}, ::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) The function `bat_findmode_impl` exists, but no method is defined for this combination of argument types. Closest candidates are: bat_findmode_impl(::Union{AbstractMeasure, Distribution, StructArrays.StructArray{DensitySample{P, T, W, R, Q}, 1, @NamedTuple{v::PV, logd::TV, weight::WV, info::RV, aux::QV}} where {P, T<:AbstractFloat, W<:Real, R, Q, PV<:AbstractVector{P}, TV<:AbstractVector{T}, WV<:AbstractVector{W}, RV<:AbstractVector{R}, QV<:AbstractVector{Q}}}, !Matched::OptimAlg, ::BATContext) @ BATOptimExt ~/.julia/packages/BAT/yelYL/ext/BATOptimExt.jl:40 bat_findmode_impl(::Union{AbstractMeasure, Distribution, StructArrays.StructArray{DensitySample{P, T, W, R, Q}, 1, @NamedTuple{v::PV, logd::TV, weight::WV, info::RV, aux::QV}} where {P, T<:AbstractFloat, W<:Real, R, Q, PV<:AbstractVector{P}, TV<:AbstractVector{T}, WV<:AbstractVector{W}, RV<:AbstractVector{R}, QV<:AbstractVector{Q}}}, !Matched::ModeAsDefined, ::BATContext) @ BAT ~/.julia/packages/BAT/yelYL/src/optimization/findmode_simple.jl:18 bat_findmode_impl(!Matched::Distribution, !Matched::ModeAsDefined, ::BATContext) @ BAT ~/.julia/packages/BAT/yelYL/src/optimization/findmode_simple.jl:22 ... Stacktrace: [1] bat_findmode(target::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#64#65"}, BAT.BATDistMeasure{NamedTupleDist{(:x, :c, :a), Tuple{Normal{Float64}, ConstValueDist{Multivariate, Vector{Int64}}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Int64}, true}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, algorithm::OptimizationAlg{ParticleSwarm{Vector{Any}, Vector{Any}}, DoNotTransform, InitFromTarget}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/algotypes/mode_estimator.jl:48 [2] macro expansion @ ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:30 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [4] (::var"#test_findmode#test_findmode##0"{var"#test_findmode#63#66"{@NamedTuple{x::Float64, c::Vector{Int64}, a::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}}, Vector{Float64}}})(posterior::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#64#65"}, BAT.BATDistMeasure{NamedTupleDist{(:x, :c, :a), Tuple{Normal{Float64}, ConstValueDist{Multivariate, Vector{Int64}}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Int64}, true}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, algorithm::OptimizationAlg{ParticleSwarm{Vector{Any}, Vector{Any}}, DoNotTransform, InitFromTarget}, rtol::Float64, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}; inferred::Bool) @ Main ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:27 [5] kwcall(::@NamedTuple{inferred::Bool}, ::var"#test_findmode#test_findmode##0"{var"#test_findmode#63#66"{@NamedTuple{x::Float64, c::Vector{Int64}, a::SubArray{Float64, 1, Vector{Float64}, Tuple{UnitRange{Int64}}, true}}, Vector{Float64}}}, posterior::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#64#65"}, BAT.BATDistMeasure{NamedTupleDist{(:x, :c, :a), Tuple{Normal{Float64}, ConstValueDist{Multivariate, Vector{Int64}}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Int64}, true}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, algorithm::OptimizationAlg{ParticleSwarm{Vector{Any}, Vector{Any}}, DoNotTransform, InitFromTarget}, rtol::Float64, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ Main ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:25 [6] top-level scope @ ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:11 [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [8] macro expansion @ ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:112 [inlined] [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [10] macro expansion @ ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:116 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ ~/.julia/packages/BAT/yelYL/test/optimization/test_optimization.jl:6 [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [14] macro expansion @ ~/.julia/packages/BAT/yelYL/test/optimization/test_optimization.jl:6 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:21 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [18] macro expansion @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:30 [inlined] [19] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [20] top-level scope @ none:6 [21] eval(m::Module, e::Any) @ Core ./boot.jl:489 [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [23] _start() @ Base ./client.jl:577 Optimization.jl with custom options: Error During Test at /home/pkgeval/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:111 Got exception outside of a @test MethodError: no method matching bat_findmode_impl(::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#64#65"}, BAT.BATDistMeasure{NamedTupleDist{(:x, :c, :a), Tuple{Normal{Float64}, ConstValueDist{Multivariate, Vector{Int64}}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Int64}, true}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, ::OptimizationAlg{ParticleSwarm{Vector{Any}, Vector{Any}}, DoNotTransform, InitFromTarget}, ::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) The function `bat_findmode_impl` exists, but no method is defined for this combination of argument types. Closest candidates are: bat_findmode_impl(::Union{AbstractMeasure, Distribution, StructArrays.StructArray{DensitySample{P, T, W, R, Q}, 1, @NamedTuple{v::PV, logd::TV, weight::WV, info::RV, aux::QV}} where {P, T<:AbstractFloat, W<:Real, R, Q, PV<:AbstractVector{P}, TV<:AbstractVector{T}, WV<:AbstractVector{W}, RV<:AbstractVector{R}, QV<:AbstractVector{Q}}}, !Matched::OptimAlg, ::BATContext) @ BATOptimExt ~/.julia/packages/BAT/yelYL/ext/BATOptimExt.jl:40 bat_findmode_impl(::Union{AbstractMeasure, Distribution, StructArrays.StructArray{DensitySample{P, T, W, R, Q}, 1, @NamedTuple{v::PV, logd::TV, weight::WV, info::RV, aux::QV}} where {P, T<:AbstractFloat, W<:Real, R, Q, PV<:AbstractVector{P}, TV<:AbstractVector{T}, WV<:AbstractVector{W}, RV<:AbstractVector{R}, QV<:AbstractVector{Q}}}, !Matched::ModeAsDefined, ::BATContext) @ BAT ~/.julia/packages/BAT/yelYL/src/optimization/findmode_simple.jl:18 bat_findmode_impl(!Matched::Distribution, !Matched::ModeAsDefined, ::BATContext) @ BAT ~/.julia/packages/BAT/yelYL/src/optimization/findmode_simple.jl:22 ... Stacktrace: [1] bat_findmode(target::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#64#65"}, BAT.BATDistMeasure{NamedTupleDist{(:x, :c, :a), Tuple{Normal{Float64}, ConstValueDist{Multivariate, Vector{Int64}}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Int64}, true}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, algorithm::OptimizationAlg{ParticleSwarm{Vector{Any}, Vector{Any}}, DoNotTransform, InitFromTarget}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/algotypes/mode_estimator.jl:48 [2] top-level scope @ ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:11 [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [4] macro expansion @ ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:112 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [6] macro expansion @ ~/.julia/packages/BAT/yelYL/test/optimization/test_mode_estimators.jl:121 [inlined] [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] top-level scope @ ~/.julia/packages/BAT/yelYL/test/optimization/test_optimization.jl:6 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [10] macro expansion @ ~/.julia/packages/BAT/yelYL/test/optimization/test_optimization.jl:6 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:21 [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [14] macro expansion @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:30 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ none:6 [17] eval(m::Module, e::Any) @ Core ./boot.jl:489 [18] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [19] _start() @ Base ./client.jl:577 mcmc_sample: Error During Test at /home/pkgeval/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mcmc_sample.jl:11 Got exception outside of a @test TaskFailedException nested task error: MethodError: Cannot `convert` an object of type LowerTriangular{Float64, Matrix{Float64}} to an object of type Adjoint{Float64, Matrix{Float64}} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: (::Type{Adjoint{T, S}} where {T, S})(::Any) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:33 convert(::Type{Adjoint{T, S}}, !Matched::Adjoint) where {T, S} @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:367 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}(data::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/triangular.jl:23 [2] convert(::Type{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}}, m::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/special.jl:70 [3] oftype(x::LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, y::LowerTriangular{Float64, Matrix{Float64}}) @ Base ./essentials.jl:711 [4] mcmc_tune_post_step!!(tuner_state::BAT.RAMTrafoTunerState, chain_state::MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{Base.Fix1{typeof(logdensityof), BAT.BATDistMeasure{FullNormal}}}, BAT.BATDistMeasure{Product{Continuous, Uniform{Float64}, Vector{Uniform{Float64}}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, p_accept::Vector{Float64}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_tuning/mcmc_ram_tuner.jl:102 [5] mcmc_tune_post_step!! @ ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_state.jl:349 [inlined] [6] mcmc_step!!(mcmc_state::MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{Base.Fix1{typeof(logdensityof), BAT.BATDistMeasure{FullNormal}}}, BAT.BATDistMeasure{Product{Continuous, Uniform{Float64}, Vector{Uniform{Float64}}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_state.jl:177 [7] mcmc_iterate!!(output::Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}, mcmc_state::MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{Base.Fix1{typeof(logdensityof), BAT.BATDistMeasure{FullNormal}}}, BAT.BATDistMeasure{Product{Continuous, Uniform{Float64}, Vector{Uniform{Float64}}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}; max_nsteps::Int64, max_time::Float64, nonzero_weights::Bool) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:280 [8] mcmc_iterate!! @ ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:262 [inlined] [9] (::BAT.var"#193#194"{@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}, Vector{MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{Base.Fix1{typeof(logdensityof), BAT.BATDistMeasure{FullNormal}}}, BAT.BATDistMeasure{Product{Continuous, Uniform{Float64}, Vector{Uniform{Float64}}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}, Vector{MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{Base.Fix1{typeof(logdensityof), BAT.BATDistMeasure{FullNormal}}}, BAT.BATDistMeasure{Product{Continuous, Uniform{Float64}, Vector{Uniform{Float64}}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}, Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, Int64})() @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:314 ...and 31 more exceptions. Stacktrace: [1] sync_end(c::Channel{Any}) @ Base ./task.jl:601 [2] macro expansion @ ./task.jl:634 [inlined] [3] mcmc_iterate!!(outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{Base.Fix1{typeof(logdensityof), BAT.BATDistMeasure{FullNormal}}}, BAT.BATDistMeasure{Product{Continuous, Uniform{Float64}, Vector{Uniform{Float64}}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}; kwargs::@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:313 [4] kwcall(::@NamedTuple{max_nsteps::Int64, nonzero_weights::Bool}, ::typeof(BAT.mcmc_iterate!!), outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{Base.Fix1{typeof(logdensityof), BAT.BATDistMeasure{FullNormal}}}, BAT.BATDistMeasure{Product{Continuous, Uniform{Float64}, Vector{Uniform{Float64}}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:298 [5] mcmc_init!(samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, DoNotTransform, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, target::PosteriorMeasure{DensityInterface.LogFuncDensity{Base.Fix1{typeof(logdensityof), BAT.BATDistMeasure{FullNormal}}}, BAT.BATDistMeasure{Product{Continuous, Uniform{Float64}, Vector{Uniform{Float64}}}}}, init_alg::MCMCChainPoolInit, callback::Function, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/chain_pool_init.jl:86 [6] bat_sample_impl(m::PosteriorMeasure{DensityInterface.LogFuncDensity{Base.Fix1{typeof(logdensityof), BAT.BATDistMeasure{FullNormal}}}, BAT.BATDistMeasure{Product{Continuous, Uniform{Float64}, Vector{Uniform{Float64}}}}}, samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, DoNotTransform, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_sample.jl:83 [7] sample_and_verify(target::PosteriorMeasure{DensityInterface.LogFuncDensity{Base.Fix1{typeof(logdensityof), BAT.BATDistMeasure{FullNormal}}}, BAT.BATDistMeasure{Product{Continuous, Uniform{Float64}, Vector{Uniform{Float64}}}}}, samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, DoNotTransform, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, ref_dist::FullNormal, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}; max_retries::Int64) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/bat_sample.jl:20 [8] sample_and_verify(target::PosteriorMeasure{DensityInterface.LogFuncDensity{Base.Fix1{typeof(logdensityof), BAT.BATDistMeasure{FullNormal}}}, BAT.BATDistMeasure{Product{Continuous, Uniform{Float64}, Vector{Uniform{Float64}}}}}, samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, DoNotTransform, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, ref_dist::FullNormal, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/bat_sample.jl:14 [9] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mcmc_sample.jl:12 [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [11] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mcmc_sample.jl:24 [inlined] [12] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [13] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mcmc.jl:6 [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [15] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mcmc.jl:7 [inlined] [16] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [17] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/test_samplers.jl:6 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [19] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/test_samplers.jl:7 [inlined] [20] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [21] top-level scope @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:21 [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [23] macro expansion @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:31 [inlined] [24] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [25] top-level scope @ none:6 [26] eval(m::Module, e::Any) @ Core ./boot.jl:489 [27] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [28] _start() @ Base ./client.jl:577 MCMC iteration: Error During Test at /home/pkgeval/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:23 Got exception outside of a @test MethodError: Cannot `convert` an object of type LowerTriangular{Float64, Matrix{Float64}} to an object of type Adjoint{Float64, Matrix{Float64}} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: (::Type{Adjoint{T, S}} where {T, S})(::Any) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:33 convert(::Type{Adjoint{T, S}}, !Matched::Adjoint) where {T, S} @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:367 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}(data::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/triangular.jl:23 [2] convert(::Type{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}}, m::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/special.jl:70 [3] oftype(x::LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, y::LowerTriangular{Float64, Matrix{Float64}}) @ Base ./essentials.jl:711 [4] mcmc_tune_post_step!!(tuner_state::BAT.RAMTrafoTunerState, chain_state::MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, p_accept::Vector{Float64}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_tuning/mcmc_ram_tuner.jl:102 [5] mcmc_tune_post_step!! @ ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_state.jl:349 [inlined] [6] mcmc_step!!(mcmc_state::MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_state.jl:177 [7] mcmc_iterate!!(output::Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}, mcmc_state::MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}; max_nsteps::Int64, max_time::Float64, nonzero_weights::Bool) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:280 [8] kwcall(::@NamedTuple{max_nsteps::Int64, nonzero_weights::Bool}, ::typeof(BAT.mcmc_iterate!!), output::Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}, mcmc_state::MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:262 [9] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:9 [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [11] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:24 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [13] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:30 [inlined] [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [15] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mcmc.jl:6 [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [17] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mcmc.jl:8 [inlined] [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [19] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/test_samplers.jl:6 [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [21] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/test_samplers.jl:7 [inlined] [22] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [23] top-level scope @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:21 [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [25] macro expansion @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:31 [inlined] [26] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [27] top-level scope @ none:6 [28] eval(m::Module, e::Any) @ Core ./boot.jl:489 [29] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [30] _start() @ Base ./client.jl:577 MCMC tuning and burn-in: Error During Test at /home/pkgeval/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:55 Got exception outside of a @test MethodError: Cannot `convert` an object of type LowerTriangular{Float64, Matrix{Float64}} to an object of type Adjoint{Float64, Matrix{Float64}} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: (::Type{Adjoint{T, S}} where {T, S})(::Any) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:33 convert(::Type{Adjoint{T, S}}, !Matched::Adjoint) where {T, S} @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:367 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}(data::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/triangular.jl:23 [2] convert(::Type{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}}, m::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/special.jl:70 [3] oftype(x::LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, y::LowerTriangular{Float64, Matrix{Float64}}) @ Base ./essentials.jl:711 [4] mcmc_tune_post_cycle!!(tuner::BAT.AdaptiveAffineTuningState{BAT.MCMCBasicStats{Float64, Float64}}, chain_state::MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, samples::Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_tuning/mcmc_adaptive_mh_tuner.jl:129 [5] mcmc_tune_post_cycle!!(state::MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.AdaptiveAffineTuningState{BAT.MCMCBasicStats{Float64, Float64}}, BAT.MCMCNoTemperingState}, samples::Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_state.jl:338 [6] _broadcast_getindex_evalf @ ./broadcast.jl:698 [inlined] [7] _broadcast_getindex @ ./broadcast.jl:671 [inlined] [8] _getindex @ ./broadcast.jl:619 [inlined] [9] getindex @ ./broadcast.jl:615 [inlined] [10] copy @ ./broadcast.jl:932 [inlined] [11] materialize(bc::Base.Broadcast.Broadcasted{Base.Broadcast.DefaultArrayStyle{1}, Nothing, typeof(BAT.mcmc_tune_post_cycle!!), Tuple{Vector{MCMCState}, Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}}}) @ Base.Broadcast ./broadcast.jl:893 [12] mcmc_burnin!(outputs::Vector{Vector{StructArrays.StructArray{DensitySample{P, T, W, R, Q}, 1, @NamedTuple{v::PV, logd::TV, weight::WV, info::RV, aux::QV}} where {P, T<:AbstractFloat, W<:Real, R, Q, PV<:AbstractVector{P}, TV<:AbstractVector{T}, WV<:AbstractVector{W}, RV<:AbstractVector{R}, QV<:AbstractVector{Q}}}}, mcmc_states::Vector{MCMCState}, samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, PriorToNormal, BAT.TriangularAffineTransform, AdaptiveAffineTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, callback::var"#72#73") @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/multi_cycle_burnin.jl:56 [13] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:9 [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [15] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:56 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [17] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:91 [inlined] [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [19] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mcmc.jl:6 [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [21] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mcmc.jl:8 [inlined] [22] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [23] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/test_samplers.jl:6 [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [25] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/test_samplers.jl:7 [inlined] [26] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [27] top-level scope @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:21 [28] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [29] macro expansion @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:31 [inlined] [30] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [31] top-level scope @ none:6 [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [34] _start() @ Base ./client.jl:577 bat_sample: Error During Test at /home/pkgeval/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:115 Got exception outside of a @test TaskFailedException nested task error: MethodError: Cannot `convert` an object of type LowerTriangular{Float64, Matrix{Float64}} to an object of type Adjoint{Float64, Matrix{Float64}} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: (::Type{Adjoint{T, S}} where {T, S})(::Any) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:33 convert(::Type{Adjoint{T, S}}, !Matched::Adjoint) where {T, S} @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:367 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}(data::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/triangular.jl:23 [2] convert(::Type{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}}, m::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/special.jl:70 [3] oftype(x::LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, y::LowerTriangular{Float64, Matrix{Float64}}) @ Base ./essentials.jl:711 [4] mcmc_tune_post_step!!(tuner_state::BAT.RAMTrafoTunerState, chain_state::MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, p_accept::Vector{Float64}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_tuning/mcmc_ram_tuner.jl:102 [5] mcmc_tune_post_step!! @ ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_state.jl:349 [inlined] [6] mcmc_step!!(mcmc_state::MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_state.jl:177 [7] mcmc_iterate!!(output::Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}, mcmc_state::MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}; max_nsteps::Int64, max_time::Float64, nonzero_weights::Bool) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:280 [8] mcmc_iterate!! @ ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:262 [inlined] [9] (::BAT.var"#193#194"{@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}, Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}, Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}, Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, Int64})() @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:314 ...and 31 more exceptions. Stacktrace: [1] sync_end(c::Channel{Any}) @ Base ./task.jl:601 [2] macro expansion @ ./task.jl:634 [inlined] [3] mcmc_iterate!!(outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}; kwargs::@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:313 [4] kwcall(::@NamedTuple{max_nsteps::Int64, nonzero_weights::Bool}, ::typeof(BAT.mcmc_iterate!!), outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:298 [5] mcmc_init!(samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, DoNotTransform, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, target::BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, init_alg::MCMCChainPoolInit, callback::Function, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/chain_pool_init.jl:86 [6] bat_sample_impl(m::BAT.BATDistMeasure{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}, samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, DoNotTransform, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_sample.jl:83 [7] bat_sample(target::BAT.BATDistMeasure{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}, algorithm::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, DoNotTransform, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/algotypes/sampling_algorithm.jl:57 [8] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:9 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [10] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:116 [inlined] [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [12] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:116 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mcmc.jl:6 [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [16] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mcmc.jl:8 [inlined] [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [18] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/test_samplers.jl:6 [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [20] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/test_samplers.jl:7 [inlined] [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [22] top-level scope @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:21 [23] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [24] macro expansion @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:31 [inlined] [25] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [26] top-level scope @ none:6 [27] eval(m::Module, e::Any) @ Core ./boot.jl:489 [28] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [29] _start() @ Base ./client.jl:577 MCMC sampling in transformed space: Error During Test at /home/pkgeval/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:148 Test threw exception Expression: (BAT.sample_and_verify(posterior, TransformedMCMC(proposal = RandomWalk(), pretransform = PriorToNormal()), prior.dist)).verified TaskFailedException nested task error: MethodError: Cannot `convert` an object of type LowerTriangular{Float64, Matrix{Float64}} to an object of type Adjoint{Float64, Matrix{Float64}} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: (::Type{Adjoint{T, S}} where {T, S})(::Any) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:33 convert(::Type{Adjoint{T, S}}, !Matched::Adjoint) where {T, S} @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:367 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}(data::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/triangular.jl:23 [2] convert(::Type{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}}, m::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/special.jl:70 [3] oftype(x::LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, y::LowerTriangular{Float64, Matrix{Float64}}) @ Base ./essentials.jl:711 [4] mcmc_tune_post_step!!(tuner_state::BAT.RAMTrafoTunerState, chain_state::MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, p_accept::Vector{Float64}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_tuning/mcmc_ram_tuner.jl:102 [5] mcmc_tune_post_step!! @ ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_state.jl:349 [inlined] [6] mcmc_step!!(mcmc_state::MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_state.jl:177 [7] mcmc_iterate!!(output::Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}, mcmc_state::MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}; max_nsteps::Int64, max_time::Float64, nonzero_weights::Bool) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:280 [8] mcmc_iterate!! @ ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:262 [inlined] [9] (::BAT.var"#193#194"{@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}, Vector{MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}, Vector{MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}, Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, Int64})() @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:314 ...and 31 more exceptions. Stacktrace: [1] sync_end(c::Channel{Any}) @ Base ./task.jl:601 [2] macro expansion @ ./task.jl:634 [inlined] [3] mcmc_iterate!!(outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}; kwargs::@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:313 [4] kwcall(::@NamedTuple{max_nsteps::Int64, nonzero_weights::Bool}, ::typeof(BAT.mcmc_iterate!!), outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:298 [5] mcmc_init!(samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, PriorToNormal, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, target::PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#74#75"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, init_alg::MCMCChainPoolInit, callback::Function, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/chain_pool_init.jl:86 [6] bat_sample_impl(m::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#74#75"}, PosteriorMeasure{DensityInterface.LogFuncDensity{var"#74#75"}, BAT.BATDistMeasure{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}}, samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, PriorToNormal, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_sample.jl:83 [7] sample_and_verify(target::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#74#75"}, PosteriorMeasure{DensityInterface.LogFuncDensity{var"#74#75"}, BAT.BATDistMeasure{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}}, samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, PriorToNormal, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, ref_dist::NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}; max_retries::Int64) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/bat_sample.jl:20 [8] sample_and_verify(target::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#74#75"}, PosteriorMeasure{DensityInterface.LogFuncDensity{var"#74#75"}, BAT.BATDistMeasure{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}}, samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, PriorToNormal, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, ref_dist::NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/bat_sample.jl:14 [9] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:9 [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [11] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:143 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [13] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:148 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:750 [inlined] [15] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mh.jl:148 [inlined] MCMC tuning and burn-in: Error During Test at /home/pkgeval/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_hmc.jl:61 Got exception outside of a @test TaskFailedException nested task error: MethodError: Cannot `convert` an object of type MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b),Tuple{Normal{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple}}},BAT.RNGPartition{Philox4x{UInt64,10},Tuple{UInt64,UInt64},Tuple{UInt32,UInt32,UInt32,UInt32,UInt32,UInt32},UnitRange{Int64}},AffineMaps.MulAdd{LowerTriangular{Float64,Matrix{Float64}},Array{Float64,1}},HMCProposalState{AdvancedHMC.Leapfrog{Float64},AdvancedHMC.GeneralisedNoUTurn{Float64},AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64,Tuple{Int64}},AdvancedHMC.GaussianKinetic,Base.Fix{1,typeof(BAT.checked_logdensityof),BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64,Matrix{Float64}},Array{Float64,1}},AffineMaps.MulAdd{LowerTriangular{Float64,Matrix{Float64}},Array{Float64,1}},BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b),Tuple{Normal{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple}}},MeasureBase.WithVolCorr}},AutoDiffOperators._ValGradFunc{Nothing,AutoForwardDiff{nothing,Nothing},Base.Fix{1,typeof(BAT.checked_logdensityof),BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64,Matrix{Float64}},Array{Float64,1}},AffineMaps.MulAdd{LowerTriangular{Float64,Matrix{Float64}},Array{Float64,1}},BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b),Tuple{Normal{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple}}},MeasureBase.WithVolCorr}}}},AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment,AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS,AdvancedHMC.Leapfrog{Float64},AdvancedHMC.GeneralisedNoUTurn{Float64}}},AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Array{Float64,1},AdvancedHMC.DualValue{Float64,Array{Float64,1}}},NamedTuple{(:n_steps, :is_accept, :acceptance_rate, :log_density, :hamiltonian_energy, :hamiltonian_energy_error, :max_hamiltonian_energy_error, :tree_depth, :numerical_error, :step_size, :nom_step_size),Tuple{Int64,Bool,Float64,Float64,Float64,Float64,Float64,Int64,Bool,Float64,Float64}}}},RepetitionWeighting{Int64},StructArrays.StructArray{DensitySample{Array{Float64,1},Float64,Int64,BAT.AHMCSampleID,Nothing},1,NamedTuple{(:v, :logd, :weight, :info, :aux),Tuple{ArrayOfSimilarArrays{Float64,1,1,2,Array{Float64,2}},Array{Float64,1},Array{Int64,1},Array{BAT.AHMCSampleID,1},Array{Nothing,1}}},Int64},StructArrays.StructArray{DensitySample{Array{Float64,1},Float64,Int64,BAT.AHMCSampleID,Nothing},1,NamedTuple{(:v, :logd, :weight, :info, :aux),Tuple{ArrayOfSimilarArrays{Float64,1,1,2,Array{Float64,2}},Array{Float64,1},Array{Int64,1},Array{BAT.AHMCSampleID,1},Array{Nothing,1}}},Int64},BATContext{Float64,Philox4x{UInt64,10},HeterogeneousComputing.CPUnit,AutoForwardDiff{nothing,Nothing}}},BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}},BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64,Float64}},BAT.MCMCNoTemperingState} to an object of type MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b),Tuple{Normal{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple}}},BAT.RNGPartition{Philox4x{UInt64,10},Tuple{UInt64,UInt64},Tuple{UInt32,UInt32,UInt32,UInt32,UInt32,UInt32},UnitRange{Int64}},AffineMaps.MulAdd{LowerTriangular{Float64,Adjoint{Float64, Matrix{Float64}}},Array{Float64,1}},HMCProposalState{AdvancedHMC.Leapfrog{Float64},AdvancedHMC.GeneralisedNoUTurn{Float64},AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64,Tuple{Int64}},AdvancedHMC.GaussianKinetic,Base.Fix{1,typeof(BAT.checked_logdensityof),BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64,Adjoint{Float64, Matrix{Float64}}},Array{Float64,1}},AffineMaps.MulAdd{LowerTriangular{Float64,Adjoint{Float64, Matrix{Float64}}},Array{Float64,1}},BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b),Tuple{Normal{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple}}},MeasureBase.WithVolCorr}},AutoDiffOperators._ValGradFunc{Nothing,AutoForwardDiff{nothing,Nothing},Base.Fix{1,typeof(BAT.checked_logdensityof),BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64,Adjoint{Float64, Matrix{Float64}}},Array{Float64,1}},AffineMaps.MulAdd{LowerTriangular{Float64,Adjoint{Float64, Matrix{Float64}}},Array{Float64,1}},BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b),Tuple{Normal{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple}}},MeasureBase.WithVolCorr}}}},AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment,AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS,AdvancedHMC.Leapfrog{Float64},AdvancedHMC.GeneralisedNoUTurn{Float64}}},AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Array{Float64,1},AdvancedHMC.DualValue{Float64,Array{Float64,1}}},NamedTuple{(:n_steps, :is_accept, :acceptance_rate, :log_density, :hamiltonian_energy, :hamiltonian_energy_error, :max_hamiltonian_energy_error, :tree_depth, :numerical_error, :step_size, :nom_step_size),Tuple{Int64,Bool,Float64,Float64,Float64,Float64,Float64,Int64,Bool,Float64,Float64}}}},RepetitionWeighting{Int64},StructArrays.StructArray{DensitySample{Array{Float64,1},Float64,Int64,BAT.AHMCSampleID,Nothing},1,NamedTuple{(:v, :logd, :weight, :info, :aux),Tuple{ArrayOfSimilarArrays{Float64,1,1,2,Array{Float64,2}},Array{Float64,1},Array{Int64,1},Array{BAT.AHMCSampleID,1},Array{Nothing,1}}},Int64},StructArrays.StructArray{DensitySample{Array{Float64,1},Float64,Int64,BAT.AHMCSampleID,Nothing},1,NamedTuple{(:v, :logd, :weight, :info, :aux),Tuple{ArrayOfSimilarArrays{Float64,1,1,2,Array{Float64,2}},Array{Float64,1},Array{Int64,1},Array{BAT.AHMCSampleID,1},Array{Nothing,1}}},Int64},BATContext{Float64,Philox4x{UInt64,10},HeterogeneousComputing.CPUnit,AutoForwardDiff{nothing,Nothing}}},BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}},BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64,Float64}},BAT.MCMCNoTemperingState} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: (::Type{MCMCState{C, PT, TT, T}} where {C<:MCMCIterator, PT<:BAT.MCMCProposalTunerState, TT<:BAT.MCMCTransformTunerState, T<:TemperingState})(::Any, !Matched::Any, !Matched::Any, !Matched::Any) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:184 convert(::Type{T}, !Matched::T) where T @ Base Base_compiler.jl:136 Stacktrace: [1] setindex! @ ./array.jl:1019 [inlined] [2] (::BAT.var"#193#194"{@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}, Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, HMCProposalState{AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}, AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64, Tuple{Int64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}, AutoDiffOperators._ValGradFunc{Nothing, AutoForwardDiff{nothing, Nothing}, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}}}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, @NamedTuple{n_steps::Int64, is_accept::Bool, acceptance_rate::Float64, log_density::Float64, hamiltonian_energy::Float64, hamiltonian_energy_error::Float64, max_hamiltonian_energy_error::Float64, tree_depth::Int64, numerical_error::Bool, step_size::Float64, nom_step_size::Float64}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}}, BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}}, BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64, Float64}}, BAT.MCMCNoTemperingState}}, Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, HMCProposalState{AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}, AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64, Tuple{Int64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}, AutoDiffOperators._ValGradFunc{Nothing, AutoForwardDiff{nothing, Nothing}, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}}}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, @NamedTuple{n_steps::Int64, is_accept::Bool, acceptance_rate::Float64, log_density::Float64, hamiltonian_energy::Float64, hamiltonian_energy_error::Float64, max_hamiltonian_energy_error::Float64, tree_depth::Int64, numerical_error::Bool, step_size::Float64, nom_step_size::Float64}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}}, BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}}, BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64, Float64}}, BAT.MCMCNoTemperingState}}, Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.AHMCSampleID, @NamedTuple{chainid::Vector{Int32}, walker::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}, hamiltonian_energy::Vector{Float64}, tree_depth::Vector{Int32}, divergent::Vector{Bool}, step_size::Vector{Float64}}, Int64}, aux::Vector{Nothing}}, Int64}}}, Int64})() @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:314 ...and 31 more exceptions. Stacktrace: [1] sync_end(c::Channel{Any}) @ Base ./task.jl:601 [2] macro expansion @ ./task.jl:634 [inlined] [3] mcmc_iterate!!(outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.AHMCSampleID, @NamedTuple{chainid::Vector{Int32}, walker::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}, hamiltonian_energy::Vector{Float64}, tree_depth::Vector{Int32}, divergent::Vector{Bool}, step_size::Vector{Float64}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, HMCProposalState{AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}, AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64, Tuple{Int64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}, AutoDiffOperators._ValGradFunc{Nothing, AutoForwardDiff{nothing, Nothing}, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}}}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, @NamedTuple{n_steps::Int64, is_accept::Bool, acceptance_rate::Float64, log_density::Float64, hamiltonian_energy::Float64, hamiltonian_energy_error::Float64, max_hamiltonian_energy_error::Float64, tree_depth::Int64, numerical_error::Bool, step_size::Float64, nom_step_size::Float64}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}}, BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}}, BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64, Float64}}, BAT.MCMCNoTemperingState}}; kwargs::@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:313 [4] kwcall(::@NamedTuple{max_nsteps::Int64, nonzero_weights::Bool}, ::typeof(BAT.mcmc_iterate!!), outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.AHMCSampleID, @NamedTuple{chainid::Vector{Int32}, walker::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}, hamiltonian_energy::Vector{Float64}, tree_depth::Vector{Int32}, divergent::Vector{Bool}, step_size::Vector{Float64}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, HMCProposalState{AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}, AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64, Tuple{Int64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}, AutoDiffOperators._ValGradFunc{Nothing, AutoForwardDiff{nothing, Nothing}, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}}}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, @NamedTuple{n_steps::Int64, is_accept::Bool, acceptance_rate::Float64, log_density::Float64, hamiltonian_energy::Float64, hamiltonian_energy_error::Float64, max_hamiltonian_energy_error::Float64, tree_depth::Int64, numerical_error::Bool, step_size::Float64, nom_step_size::Float64}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}}, BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}}, BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64, Float64}}, BAT.MCMCNoTemperingState}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:298 [5] mcmc_init!(samplingalg::TransformedMCMC{HamiltonianMC{BAT.UnitEuclideanMetric, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}, BAT.StepSizeAdaptor, DoNotTransform, BAT.TriangularAffineTransform, StanLikeTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, target::BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, init_alg::MCMCChainPoolInit, callback::Function, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/chain_pool_init.jl:101 [6] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_hmc.jl:13 [7] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [8] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_hmc.jl:62 [inlined] [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [10] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_hmc.jl:84 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mcmc.jl:6 [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [14] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mcmc.jl:9 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/test_samplers.jl:6 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [18] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/test_samplers.jl:7 [inlined] [19] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [20] top-level scope @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:21 [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [22] macro expansion @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:31 [inlined] [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ none:6 [25] eval(m::Module, e::Any) @ Core ./boot.jl:489 [26] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [27] _start() @ Base ./client.jl:577 bat_sample: Error During Test at /home/pkgeval/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_hmc.jl:117 Got exception outside of a @test TaskFailedException nested task error: MethodError: Cannot `convert` an object of type MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b),Tuple{Normal{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple}}},BAT.RNGPartition{Philox4x{UInt64,10},Tuple{UInt64,UInt64},Tuple{UInt32,UInt32,UInt32,UInt32,UInt32,UInt32},UnitRange{Int64}},AffineMaps.MulAdd{LowerTriangular{Float64,Matrix{Float64}},Array{Float64,1}},HMCProposalState{AdvancedHMC.Leapfrog{Float64},AdvancedHMC.GeneralisedNoUTurn{Float64},AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64,Tuple{Int64}},AdvancedHMC.GaussianKinetic,Base.Fix{1,typeof(BAT.checked_logdensityof),BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64,Matrix{Float64}},Array{Float64,1}},AffineMaps.MulAdd{LowerTriangular{Float64,Matrix{Float64}},Array{Float64,1}},BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b),Tuple{Normal{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple}}},MeasureBase.WithVolCorr}},AutoDiffOperators._ValGradFunc{Nothing,AutoForwardDiff{nothing,Nothing},Base.Fix{1,typeof(BAT.checked_logdensityof),BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64,Matrix{Float64}},Array{Float64,1}},AffineMaps.MulAdd{LowerTriangular{Float64,Matrix{Float64}},Array{Float64,1}},BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b),Tuple{Normal{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple}}},MeasureBase.WithVolCorr}}}},AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment,AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS,AdvancedHMC.Leapfrog{Float64},AdvancedHMC.GeneralisedNoUTurn{Float64}}},AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Array{Float64,1},AdvancedHMC.DualValue{Float64,Array{Float64,1}}},NamedTuple{(:n_steps, :is_accept, :acceptance_rate, :log_density, :hamiltonian_energy, :hamiltonian_energy_error, :max_hamiltonian_energy_error, :tree_depth, :numerical_error, :step_size, :nom_step_size),Tuple{Int64,Bool,Float64,Float64,Float64,Float64,Float64,Int64,Bool,Float64,Float64}}}},RepetitionWeighting{Int64},StructArrays.StructArray{DensitySample{Array{Float64,1},Float64,Int64,BAT.AHMCSampleID,Nothing},1,NamedTuple{(:v, :logd, :weight, :info, :aux),Tuple{ArrayOfSimilarArrays{Float64,1,1,2,Array{Float64,2}},Array{Float64,1},Array{Int64,1},Array{BAT.AHMCSampleID,1},Array{Nothing,1}}},Int64},StructArrays.StructArray{DensitySample{Array{Float64,1},Float64,Int64,BAT.AHMCSampleID,Nothing},1,NamedTuple{(:v, :logd, :weight, :info, :aux),Tuple{ArrayOfSimilarArrays{Float64,1,1,2,Array{Float64,2}},Array{Float64,1},Array{Int64,1},Array{BAT.AHMCSampleID,1},Array{Nothing,1}}},Int64},BATContext{Float64,Philox4x{UInt64,10},HeterogeneousComputing.CPUnit,AutoForwardDiff{nothing,Nothing}}},BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}},BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64,Float64}},BAT.MCMCNoTemperingState} to an object of type MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b),Tuple{Normal{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple}}},BAT.RNGPartition{Philox4x{UInt64,10},Tuple{UInt64,UInt64},Tuple{UInt32,UInt32,UInt32,UInt32,UInt32,UInt32},UnitRange{Int64}},AffineMaps.MulAdd{LowerTriangular{Float64,Adjoint{Float64, Matrix{Float64}}},Array{Float64,1}},HMCProposalState{AdvancedHMC.Leapfrog{Float64},AdvancedHMC.GeneralisedNoUTurn{Float64},AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64,Tuple{Int64}},AdvancedHMC.GaussianKinetic,Base.Fix{1,typeof(BAT.checked_logdensityof),BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64,Adjoint{Float64, Matrix{Float64}}},Array{Float64,1}},AffineMaps.MulAdd{LowerTriangular{Float64,Adjoint{Float64, Matrix{Float64}}},Array{Float64,1}},BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b),Tuple{Normal{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple}}},MeasureBase.WithVolCorr}},AutoDiffOperators._ValGradFunc{Nothing,AutoForwardDiff{nothing,Nothing},Base.Fix{1,typeof(BAT.checked_logdensityof),BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64,Adjoint{Float64, Matrix{Float64}}},Array{Float64,1}},AffineMaps.MulAdd{LowerTriangular{Float64,Adjoint{Float64, Matrix{Float64}}},Array{Float64,1}},BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b),Tuple{Normal{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple}}},MeasureBase.WithVolCorr}}}},AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment,AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS,AdvancedHMC.Leapfrog{Float64},AdvancedHMC.GeneralisedNoUTurn{Float64}}},AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Array{Float64,1},AdvancedHMC.DualValue{Float64,Array{Float64,1}}},NamedTuple{(:n_steps, :is_accept, :acceptance_rate, :log_density, :hamiltonian_energy, :hamiltonian_energy_error, :max_hamiltonian_energy_error, :tree_depth, :numerical_error, :step_size, :nom_step_size),Tuple{Int64,Bool,Float64,Float64,Float64,Float64,Float64,Int64,Bool,Float64,Float64}}}},RepetitionWeighting{Int64},StructArrays.StructArray{DensitySample{Array{Float64,1},Float64,Int64,BAT.AHMCSampleID,Nothing},1,NamedTuple{(:v, :logd, :weight, :info, :aux),Tuple{ArrayOfSimilarArrays{Float64,1,1,2,Array{Float64,2}},Array{Float64,1},Array{Int64,1},Array{BAT.AHMCSampleID,1},Array{Nothing,1}}},Int64},StructArrays.StructArray{DensitySample{Array{Float64,1},Float64,Int64,BAT.AHMCSampleID,Nothing},1,NamedTuple{(:v, :logd, :weight, :info, :aux),Tuple{ArrayOfSimilarArrays{Float64,1,1,2,Array{Float64,2}},Array{Float64,1},Array{Int64,1},Array{BAT.AHMCSampleID,1},Array{Nothing,1}}},Int64},BATContext{Float64,Philox4x{UInt64,10},HeterogeneousComputing.CPUnit,AutoForwardDiff{nothing,Nothing}}},BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}},BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64,Float64}},BAT.MCMCNoTemperingState} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: (::Type{MCMCState{C, PT, TT, T}} where {C<:MCMCIterator, PT<:BAT.MCMCProposalTunerState, TT<:BAT.MCMCTransformTunerState, T<:TemperingState})(::Any, !Matched::Any, !Matched::Any, !Matched::Any) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:184 convert(::Type{T}, !Matched::T) where T @ Base Base_compiler.jl:136 Stacktrace: [1] setindex! @ ./array.jl:1019 [inlined] [2] (::BAT.var"#193#194"{@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}, Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, HMCProposalState{AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}, AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64, Tuple{Int64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}, AutoDiffOperators._ValGradFunc{Nothing, AutoForwardDiff{nothing, Nothing}, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}}}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, @NamedTuple{n_steps::Int64, is_accept::Bool, acceptance_rate::Float64, log_density::Float64, hamiltonian_energy::Float64, hamiltonian_energy_error::Float64, max_hamiltonian_energy_error::Float64, tree_depth::Int64, numerical_error::Bool, step_size::Float64, nom_step_size::Float64}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}}, BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}}, BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64, Float64}}, BAT.MCMCNoTemperingState}}, Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, HMCProposalState{AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}, AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64, Tuple{Int64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}, AutoDiffOperators._ValGradFunc{Nothing, AutoForwardDiff{nothing, Nothing}, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}}}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, @NamedTuple{n_steps::Int64, is_accept::Bool, acceptance_rate::Float64, log_density::Float64, hamiltonian_energy::Float64, hamiltonian_energy_error::Float64, max_hamiltonian_energy_error::Float64, tree_depth::Int64, numerical_error::Bool, step_size::Float64, nom_step_size::Float64}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}}, BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}}, BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64, Float64}}, BAT.MCMCNoTemperingState}}, Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.AHMCSampleID, @NamedTuple{chainid::Vector{Int32}, walker::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}, hamiltonian_energy::Vector{Float64}, tree_depth::Vector{Int32}, divergent::Vector{Bool}, step_size::Vector{Float64}}, Int64}, aux::Vector{Nothing}}, Int64}}}, Int64})() @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:314 ...and 31 more exceptions. Stacktrace: [1] sync_end(c::Channel{Any}) @ Base ./task.jl:601 [2] macro expansion @ ./task.jl:634 [inlined] [3] mcmc_iterate!!(outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.AHMCSampleID, @NamedTuple{chainid::Vector{Int32}, walker::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}, hamiltonian_energy::Vector{Float64}, tree_depth::Vector{Int32}, divergent::Vector{Bool}, step_size::Vector{Float64}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, HMCProposalState{AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}, AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64, Tuple{Int64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}, AutoDiffOperators._ValGradFunc{Nothing, AutoForwardDiff{nothing, Nothing}, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}}}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, @NamedTuple{n_steps::Int64, is_accept::Bool, acceptance_rate::Float64, log_density::Float64, hamiltonian_energy::Float64, hamiltonian_energy_error::Float64, max_hamiltonian_energy_error::Float64, tree_depth::Int64, numerical_error::Bool, step_size::Float64, nom_step_size::Float64}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}}, BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}}, BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64, Float64}}, BAT.MCMCNoTemperingState}}; kwargs::@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:313 [4] kwcall(::@NamedTuple{max_nsteps::Int64, nonzero_weights::Bool}, ::typeof(BAT.mcmc_iterate!!), outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.AHMCSampleID, @NamedTuple{chainid::Vector{Int32}, walker::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}, hamiltonian_energy::Vector{Float64}, tree_depth::Vector{Int32}, divergent::Vector{Bool}, step_size::Vector{Float64}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, HMCProposalState{AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}, AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64, Tuple{Int64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}, AutoDiffOperators._ValGradFunc{Nothing, AutoForwardDiff{nothing, Nothing}, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, MeasureBase.WithVolCorr}}}}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, @NamedTuple{n_steps::Int64, is_accept::Bool, acceptance_rate::Float64, log_density::Float64, hamiltonian_energy::Float64, hamiltonian_energy_error::Float64, max_hamiltonian_energy_error::Float64, tree_depth::Int64, numerical_error::Bool, step_size::Float64, nom_step_size::Float64}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}}, BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}}, BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64, Float64}}, BAT.MCMCNoTemperingState}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:298 [5] mcmc_init!(samplingalg::TransformedMCMC{HamiltonianMC{BAT.UnitEuclideanMetric, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}, BAT.StepSizeAdaptor, DoNotTransform, BAT.TriangularAffineTransform, StanLikeTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, target::BAT.BATDistMeasure{ValueShapes.UnshapedNTD{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, init_alg::MCMCChainPoolInit, callback::Function, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/chain_pool_init.jl:101 [6] bat_sample_impl(m::BAT.BATDistMeasure{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}, samplingalg::TransformedMCMC{HamiltonianMC{BAT.UnitEuclideanMetric, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}, BAT.StepSizeAdaptor, DoNotTransform, BAT.TriangularAffineTransform, StanLikeTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_sample.jl:83 [7] bat_sample(target::BAT.BATDistMeasure{NamedTupleDist{(:a, :b), Tuple{Normal{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}, algorithm::TransformedMCMC{HamiltonianMC{BAT.UnitEuclideanMetric, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}, BAT.StepSizeAdaptor, DoNotTransform, BAT.TriangularAffineTransform, StanLikeTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}) @ BAT ~/.julia/packages/BAT/yelYL/src/algotypes/sampling_algorithm.jl:57 [8] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_hmc.jl:13 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [10] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_hmc.jl:118 [inlined] [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [12] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_hmc.jl:118 [inlined] [13] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [14] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mcmc.jl:6 [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [16] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_mcmc.jl:9 [inlined] [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [18] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/test_samplers.jl:6 [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [20] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/test_samplers.jl:7 [inlined] [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [22] top-level scope @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:21 [23] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [24] macro expansion @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:31 [inlined] [25] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [26] top-level scope @ none:6 [27] eval(m::Module, e::Any) @ Core ./boot.jl:489 [28] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [29] _start() @ Base ./client.jl:577 MCMC sampling in transformed space: Error During Test at /home/pkgeval/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_hmc.jl:165 Test threw exception Expression: (BAT.sample_and_verify(posterior, trafo_samplingalg, prior.dist, context)).verified TaskFailedException nested task error: MethodError: Cannot `convert` an object of type MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f),Tuple{Exponential{Float64},ConstValueDist{ArrayLikeVariate{1},Array{Float64,1}},Normal{Float64},Product{Continuous,Weibull{Float64},Array{Weibull{Float64},1}},Beta{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ConstValueShape{Array{Float64,1},true}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple},BAT.StandardMvNormal{Float64}},var"#80#81"}}},PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f),Tuple{Exponential{Float64},ConstValueDist{ArrayLikeVariate{1},Array{Float64,1}},Normal{Float64},Product{Continuous,Weibull{Float64},Array{Weibull{Float64},1}},Beta{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ConstValueShape{Array{Float64,1},true}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple},BAT.StandardMvNormal{Float64}},var"#80#81"}}},BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}},BAT.RNGPartition{Philox4x{UInt64,10},Tuple{UInt64,UInt64},Tuple{UInt32,UInt32,UInt32,UInt32,UInt32,UInt32},UnitRange{Int64}},AffineMaps.MulAdd{LowerTriangular{Float64,Matrix{Float64}},Array{Float64,1}},HMCProposalState{AdvancedHMC.Leapfrog{Float64},AdvancedHMC.GeneralisedNoUTurn{Float64},AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64,Tuple{Int64}},AdvancedHMC.GaussianKinetic,Base.Fix{1,typeof(BAT.checked_logdensityof),BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64,Matrix{Float64}},Array{Float64,1}},AffineMaps.MulAdd{LowerTriangular{Float64,Matrix{Float64}},Array{Float64,1}},PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f),Tuple{Exponential{Float64},ConstValueDist{ArrayLikeVariate{1},Array{Float64,1}},Normal{Float64},Product{Continuous,Weibull{Float64},Array{Weibull{Float64},1}},Beta{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ConstValueShape{Array{Float64,1},true}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple},BAT.StandardMvNormal{Float64}},var"#80#81"}}},PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f),Tuple{Exponential{Float64},ConstValueDist{ArrayLikeVariate{1},Array{Float64,1}},Normal{Float64},Product{Continuous,Weibull{Float64},Array{Weibull{Float64},1}},Beta{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ConstValueShape{Array{Float64,1},true}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple},BAT.StandardMvNormal{Float64}},var"#80#81"}}},BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}},MeasureBase.WithVolCorr}},AutoDiffOperators._ValGradFunc{Nothing,AutoForwardDiff{nothing,Nothing},Base.Fix{1,typeof(BAT.checked_logdensityof),BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64,Matrix{Float64}},Array{Float64,1}},AffineMaps.MulAdd{LowerTriangular{Float64,Matrix{Float64}},Array{Float64,1}},PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f),Tuple{Exponential{Float64},ConstValueDist{ArrayLikeVariate{1},Array{Float64,1}},Normal{Float64},Product{Continuous,Weibull{Float64},Array{Weibull{Float64},1}},Beta{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ConstValueShape{Array{Float64,1},true}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple},BAT.StandardMvNormal{Float64}},var"#80#81"}}},PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f),Tuple{Exponential{Float64},ConstValueDist{ArrayLikeVariate{1},Array{Float64,1}},Normal{Float64},Product{Continuous,Weibull{Float64},Array{Weibull{Float64},1}},Beta{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ConstValueShape{Array{Float64,1},true}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple},BAT.StandardMvNormal{Float64}},var"#80#81"}}},BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}},MeasureBase.WithVolCorr}}}},AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment,AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS,AdvancedHMC.Leapfrog{Float64},AdvancedHMC.GeneralisedNoUTurn{Float64}}},AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Array{Float64,1},AdvancedHMC.DualValue{Float64,Array{Float64,1}}},NamedTuple{(:n_steps, :is_accept, :acceptance_rate, :log_density, :hamiltonian_energy, :hamiltonian_energy_error, :max_hamiltonian_energy_error, :tree_depth, :numerical_error, :step_size, :nom_step_size),Tuple{Int64,Bool,Float64,Float64,Float64,Float64,Float64,Int64,Bool,Float64,Float64}}}},RepetitionWeighting{Int64},StructArrays.StructArray{DensitySample{Array{Float64,1},Float64,Int64,BAT.AHMCSampleID,Nothing},1,NamedTuple{(:v, :logd, :weight, :info, :aux),Tuple{ArrayOfSimilarArrays{Float64,1,1,2,Array{Float64,2}},Array{Float64,1},Array{Int64,1},Array{BAT.AHMCSampleID,1},Array{Nothing,1}}},Int64},StructArrays.StructArray{DensitySample{Array{Float64,1},Float64,Int64,BAT.AHMCSampleID,Nothing},1,NamedTuple{(:v, :logd, :weight, :info, :aux),Tuple{ArrayOfSimilarArrays{Float64,1,1,2,Array{Float64,2}},Array{Float64,1},Array{Int64,1},Array{BAT.AHMCSampleID,1},Array{Nothing,1}}},Int64},BATContext{Float64,Philox4x{UInt64,10},HeterogeneousComputing.CPUnit,AutoForwardDiff{nothing,Nothing}}},BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}},BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64,Float64}},BAT.MCMCNoTemperingState} to an object of type MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f),Tuple{Exponential{Float64},ConstValueDist{ArrayLikeVariate{1},Array{Float64,1}},Normal{Float64},Product{Continuous,Weibull{Float64},Array{Weibull{Float64},1}},Beta{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ConstValueShape{Array{Float64,1},true}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple},BAT.StandardMvNormal{Float64}},var"#80#81"}}},PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f),Tuple{Exponential{Float64},ConstValueDist{ArrayLikeVariate{1},Array{Float64,1}},Normal{Float64},Product{Continuous,Weibull{Float64},Array{Weibull{Float64},1}},Beta{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ConstValueShape{Array{Float64,1},true}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple},BAT.StandardMvNormal{Float64}},var"#80#81"}}},BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}},BAT.RNGPartition{Philox4x{UInt64,10},Tuple{UInt64,UInt64},Tuple{UInt32,UInt32,UInt32,UInt32,UInt32,UInt32},UnitRange{Int64}},AffineMaps.MulAdd{LowerTriangular{Float64,Adjoint{Float64, Matrix{Float64}}},Array{Float64,1}},HMCProposalState{AdvancedHMC.Leapfrog{Float64},AdvancedHMC.GeneralisedNoUTurn{Float64},AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64,Tuple{Int64}},AdvancedHMC.GaussianKinetic,Base.Fix{1,typeof(BAT.checked_logdensityof),BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64,Adjoint{Float64, Matrix{Float64}}},Array{Float64,1}},AffineMaps.MulAdd{LowerTriangular{Float64,Adjoint{Float64, Matrix{Float64}}},Array{Float64,1}},PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f),Tuple{Exponential{Float64},ConstValueDist{ArrayLikeVariate{1},Array{Float64,1}},Normal{Float64},Product{Continuous,Weibull{Float64},Array{Weibull{Float64},1}},Beta{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ConstValueShape{Array{Float64,1},true}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple},BAT.StandardMvNormal{Float64}},var"#80#81"}}},PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f),Tuple{Exponential{Float64},ConstValueDist{ArrayLikeVariate{1},Array{Float64,1}},Normal{Float64},Product{Continuous,Weibull{Float64},Array{Weibull{Float64},1}},Beta{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ConstValueShape{Array{Float64,1},true}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple},BAT.StandardMvNormal{Float64}},var"#80#81"}}},BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}},MeasureBase.WithVolCorr}},AutoDiffOperators._ValGradFunc{Nothing,AutoForwardDiff{nothing,Nothing},Base.Fix{1,typeof(BAT.checked_logdensityof),BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64,Adjoint{Float64, Matrix{Float64}}},Array{Float64,1}},AffineMaps.MulAdd{LowerTriangular{Float64,Adjoint{Float64, Matrix{Float64}}},Array{Float64,1}},PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f),Tuple{Exponential{Float64},ConstValueDist{ArrayLikeVariate{1},Array{Float64,1}},Normal{Float64},Product{Continuous,Weibull{Float64},Array{Weibull{Float64},1}},Beta{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ConstValueShape{Array{Float64,1},true}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple},BAT.StandardMvNormal{Float64}},var"#80#81"}}},PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f),Tuple{Exponential{Float64},ConstValueDist{ArrayLikeVariate{1},Array{Float64,1}},Normal{Float64},Product{Continuous,Weibull{Float64},Array{Weibull{Float64},1}},Beta{Float64},MvNormal{Float64,PDMat{Float64,Array{Float64,2}},Array{Float64,1}}},Tuple{ValueAccessor{ScalarShape{Real}},ValueAccessor{ConstValueShape{Array{Float64,1},true}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}},ValueAccessor{ScalarShape{Real}},ValueAccessor{ArrayShape{Real,1}}},NamedTuple},BAT.StandardMvNormal{Float64}},var"#80#81"}}},BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}},MeasureBase.WithVolCorr}}}},AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment,AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS,AdvancedHMC.Leapfrog{Float64},AdvancedHMC.GeneralisedNoUTurn{Float64}}},AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Array{Float64,1},AdvancedHMC.DualValue{Float64,Array{Float64,1}}},NamedTuple{(:n_steps, :is_accept, :acceptance_rate, :log_density, :hamiltonian_energy, :hamiltonian_energy_error, :max_hamiltonian_energy_error, :tree_depth, :numerical_error, :step_size, :nom_step_size),Tuple{Int64,Bool,Float64,Float64,Float64,Float64,Float64,Int64,Bool,Float64,Float64}}}},RepetitionWeighting{Int64},StructArrays.StructArray{DensitySample{Array{Float64,1},Float64,Int64,BAT.AHMCSampleID,Nothing},1,NamedTuple{(:v, :logd, :weight, :info, :aux),Tuple{ArrayOfSimilarArrays{Float64,1,1,2,Array{Float64,2}},Array{Float64,1},Array{Int64,1},Array{BAT.AHMCSampleID,1},Array{Nothing,1}}},Int64},StructArrays.StructArray{DensitySample{Array{Float64,1},Float64,Int64,BAT.AHMCSampleID,Nothing},1,NamedTuple{(:v, :logd, :weight, :info, :aux),Tuple{ArrayOfSimilarArrays{Float64,1,1,2,Array{Float64,2}},Array{Float64,1},Array{Int64,1},Array{BAT.AHMCSampleID,1},Array{Nothing,1}}},Int64},BATContext{Float64,Philox4x{UInt64,10},HeterogeneousComputing.CPUnit,AutoForwardDiff{nothing,Nothing}}},BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}},BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64,Float64}},BAT.MCMCNoTemperingState} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: (::Type{MCMCState{C, PT, TT, T}} where {C<:MCMCIterator, PT<:BAT.MCMCProposalTunerState, TT<:BAT.MCMCTransformTunerState, T<:TemperingState})(::Any, !Matched::Any, !Matched::Any, !Matched::Any) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:184 convert(::Type{T}, !Matched::T) where T @ Base Base_compiler.jl:136 Stacktrace: [1] setindex! @ ./array.jl:1019 [inlined] [2] (::BAT.var"#193#194"{@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}, Vector{MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, HMCProposalState{AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}, AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64, Tuple{Int64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, MeasureBase.WithVolCorr}}, AutoDiffOperators._ValGradFunc{Nothing, AutoForwardDiff{nothing, Nothing}, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, MeasureBase.WithVolCorr}}}}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, @NamedTuple{n_steps::Int64, is_accept::Bool, acceptance_rate::Float64, log_density::Float64, hamiltonian_energy::Float64, hamiltonian_energy_error::Float64, max_hamiltonian_energy_error::Float64, tree_depth::Int64, numerical_error::Bool, step_size::Float64, nom_step_size::Float64}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}}, BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}}, BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64, Float64}}, BAT.MCMCNoTemperingState}}, Vector{MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, HMCProposalState{AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}, AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64, Tuple{Int64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, MeasureBase.WithVolCorr}}, AutoDiffOperators._ValGradFunc{Nothing, AutoForwardDiff{nothing, Nothing}, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, MeasureBase.WithVolCorr}}}}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, @NamedTuple{n_steps::Int64, is_accept::Bool, acceptance_rate::Float64, log_density::Float64, hamiltonian_energy::Float64, hamiltonian_energy_error::Float64, max_hamiltonian_energy_error::Float64, tree_depth::Int64, numerical_error::Bool, step_size::Float64, nom_step_size::Float64}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}}, BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}}, BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64, Float64}}, BAT.MCMCNoTemperingState}}, Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.AHMCSampleID, @NamedTuple{chainid::Vector{Int32}, walker::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}, hamiltonian_energy::Vector{Float64}, tree_depth::Vector{Int32}, divergent::Vector{Bool}, step_size::Vector{Float64}}, Int64}, aux::Vector{Nothing}}, Int64}}}, Int64})() @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:314 ...and 31 more exceptions. Stacktrace: [1] sync_end(c::Channel{Any}) @ Base ./task.jl:601 [2] macro expansion @ ./task.jl:634 [inlined] [3] mcmc_iterate!!(outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.AHMCSampleID, @NamedTuple{chainid::Vector{Int32}, walker::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}, hamiltonian_energy::Vector{Float64}, tree_depth::Vector{Int32}, divergent::Vector{Bool}, step_size::Vector{Float64}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, HMCProposalState{AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}, AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64, Tuple{Int64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, MeasureBase.WithVolCorr}}, AutoDiffOperators._ValGradFunc{Nothing, AutoForwardDiff{nothing, Nothing}, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, MeasureBase.WithVolCorr}}}}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, @NamedTuple{n_steps::Int64, is_accept::Bool, acceptance_rate::Float64, log_density::Float64, hamiltonian_energy::Float64, hamiltonian_energy_error::Float64, max_hamiltonian_energy_error::Float64, tree_depth::Int64, numerical_error::Bool, step_size::Float64, nom_step_size::Float64}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}}, BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}}, BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64, Float64}}, BAT.MCMCNoTemperingState}}; kwargs::@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:313 [4] kwcall(::@NamedTuple{max_nsteps::Int64, nonzero_weights::Bool}, ::typeof(BAT.mcmc_iterate!!), outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.AHMCSampleID, @NamedTuple{chainid::Vector{Int32}, walker::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}, hamiltonian_energy::Vector{Float64}, tree_depth::Vector{Int32}, divergent::Vector{Bool}, step_size::Vector{Float64}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, HMCProposalState{AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}, AdvancedHMC.Hamiltonian{AdvancedHMC.UnitEuclideanMetric{Float64, Tuple{Int64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, MeasureBase.WithVolCorr}}, AutoDiffOperators._ValGradFunc{Nothing, AutoForwardDiff{nothing, Nothing}, Base.Fix1{typeof(BAT.checked_logdensityof), BAT.BATPushFwdMeasure{AffineMaps.InvMulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, MeasureBase.WithVolCorr}}}}, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Transition{AdvancedHMC.PhasePoint{Vector{Float64}, AdvancedHMC.DualValue{Float64, Vector{Float64}}}, @NamedTuple{n_steps::Int64, is_accept::Bool, acceptance_rate::Float64, log_density::Float64, hamiltonian_energy::Float64, hamiltonian_energy_error::Float64, max_hamiltonian_energy_error::Float64, tree_depth::Int64, numerical_error::Bool, step_size::Float64, nom_step_size::Float64}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.AHMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.AHMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}}, BATAdvancedHMCExt.HMCProposalTunerState{AdvancedHMC.Adaptation.NesterovDualAveraging{Float64}}, BATAdvancedHMCExt.StanLikeTunerState{BAT.MCMCBasicStats{Float64, Float64}}, BAT.MCMCNoTemperingState}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:298 [5] mcmc_init!(samplingalg::TransformedMCMC{HamiltonianMC{BAT.UnitEuclideanMetric, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}, BAT.StepSizeAdaptor, PriorToNormal, BAT.TriangularAffineTransform, StanLikeTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, target::PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, PosteriorMeasure{DensityInterface.LogFuncDensity{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, var"#80#81"}}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}}, init_alg::MCMCChainPoolInit, callback::Function, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/chain_pool_init.jl:101 [6] bat_sample_impl(m::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#80#81"}, PosteriorMeasure{DensityInterface.LogFuncDensity{var"#80#81"}, BAT.BATDistMeasure{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}}, samplingalg::TransformedMCMC{HamiltonianMC{BAT.UnitEuclideanMetric, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}, BAT.StepSizeAdaptor, PriorToNormal, BAT.TriangularAffineTransform, StanLikeTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_sample.jl:83 [7] sample_and_verify(target::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#80#81"}, PosteriorMeasure{DensityInterface.LogFuncDensity{var"#80#81"}, BAT.BATDistMeasure{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}}, samplingalg::TransformedMCMC{HamiltonianMC{BAT.UnitEuclideanMetric, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}, BAT.StepSizeAdaptor, PriorToNormal, BAT.TriangularAffineTransform, StanLikeTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, ref_dist::NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}; max_retries::Int64) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/bat_sample.jl:20 [8] sample_and_verify(target::PosteriorMeasure{DensityInterface.LogFuncDensity{var"#80#81"}, PosteriorMeasure{DensityInterface.LogFuncDensity{var"#80#81"}, BAT.BATDistMeasure{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}}, samplingalg::TransformedMCMC{HamiltonianMC{BAT.UnitEuclideanMetric, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}, BAT.StepSizeAdaptor, PriorToNormal, BAT.TriangularAffineTransform, StanLikeTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, ref_dist::NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, AutoForwardDiff{nothing, Nothing}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/bat_sample.jl:14 [9] top-level scope @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_hmc.jl:13 [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [11] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_hmc.jl:155 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [13] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_hmc.jl:165 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:750 [inlined] [15] macro expansion @ ~/.julia/packages/BAT/yelYL/test/samplers/mcmc/test_hmc.jl:165 [inlined] hdf5: Error During Test at /home/pkgeval/.julia/packages/BAT/yelYL/test/io/test_hdf5.jl:11 Got exception outside of a @test TaskFailedException nested task error: MethodError: Cannot `convert` an object of type LowerTriangular{Float64, Matrix{Float64}} to an object of type Adjoint{Float64, Matrix{Float64}} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: (::Type{Adjoint{T, S}} where {T, S})(::Any) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:33 convert(::Type{Adjoint{T, S}}, !Matched::Adjoint) where {T, S} @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:367 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}(data::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/triangular.jl:23 [2] convert(::Type{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}}, m::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/special.jl:70 [3] oftype(x::LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, y::LowerTriangular{Float64, Matrix{Float64}}) @ Base ./essentials.jl:711 [4] mcmc_tune_post_step!!(tuner_state::BAT.RAMTrafoTunerState, chain_state::MCMCChainState{PosteriorMeasure{Likelihood{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, ComposedFunction{Base.Fix2{Type{MvNormal}, Matrix{Float64}}, Base.Fix2{typeof(unshaped), NamedTupleShape{(:a, :b, :c, :d, :e, :f), Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}}}, Vector{Float64}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, p_accept::Vector{Float64}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_tuning/mcmc_ram_tuner.jl:102 [5] mcmc_tune_post_step!! @ ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_state.jl:349 [inlined] [6] mcmc_step!!(mcmc_state::MCMCState{MCMCChainState{PosteriorMeasure{Likelihood{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, ComposedFunction{Base.Fix2{Type{MvNormal}, Matrix{Float64}}, Base.Fix2{typeof(unshaped), NamedTupleShape{(:a, :b, :c, :d, :e, :f), Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}}}, Vector{Float64}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_state.jl:177 [7] mcmc_iterate!!(output::Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}, mcmc_state::MCMCState{MCMCChainState{PosteriorMeasure{Likelihood{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, ComposedFunction{Base.Fix2{Type{MvNormal}, Matrix{Float64}}, Base.Fix2{typeof(unshaped), NamedTupleShape{(:a, :b, :c, :d, :e, :f), Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}}}, Vector{Float64}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}; max_nsteps::Int64, max_time::Float64, nonzero_weights::Bool) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:280 [8] mcmc_iterate!! @ ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:262 [inlined] [9] (::BAT.var"#193#194"{@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}, Vector{MCMCState{MCMCChainState{PosteriorMeasure{Likelihood{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, ComposedFunction{Base.Fix2{Type{MvNormal}, Matrix{Float64}}, Base.Fix2{typeof(unshaped), NamedTupleShape{(:a, :b, :c, :d, :e, :f), Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}}}, Vector{Float64}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}, Vector{MCMCState{MCMCChainState{PosteriorMeasure{Likelihood{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, ComposedFunction{Base.Fix2{Type{MvNormal}, Matrix{Float64}}, Base.Fix2{typeof(unshaped), NamedTupleShape{(:a, :b, :c, :d, :e, :f), Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}}}, Vector{Float64}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}, Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, Int64})() @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:314 ...and 31 more exceptions. Stacktrace: [1] sync_end(c::Channel{Any}) @ Base ./task.jl:601 [2] macro expansion @ ./task.jl:634 [inlined] [3] mcmc_iterate!!(outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{PosteriorMeasure{Likelihood{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, ComposedFunction{Base.Fix2{Type{MvNormal}, Matrix{Float64}}, Base.Fix2{typeof(unshaped), NamedTupleShape{(:a, :b, :c, :d, :e, :f), Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}}}, Vector{Float64}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}; kwargs::@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:313 [4] kwcall(::@NamedTuple{max_nsteps::Int64, nonzero_weights::Bool}, ::typeof(BAT.mcmc_iterate!!), outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{PosteriorMeasure{Likelihood{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, ComposedFunction{Base.Fix2{Type{MvNormal}, Matrix{Float64}}, Base.Fix2{typeof(unshaped), NamedTupleShape{(:a, :b, :c, :d, :e, :f), Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}}}, Vector{Float64}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:298 [5] mcmc_init!(samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, PriorToNormal, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, target::PosteriorMeasure{Likelihood{FunctionChains.FunctionChain{Tuple{BAT.DistributionTransform{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}, BAT.StandardMvNormal{Float64}}, ComposedFunction{Base.Fix2{Type{MvNormal}, Matrix{Float64}}, Base.Fix2{typeof(unshaped), NamedTupleShape{(:a, :b, :c, :d, :e, :f), Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}}}, Vector{Float64}}, BAT.BATDistMeasure{BAT.StandardMvNormal{Float64}}}, init_alg::MCMCChainPoolInit, callback::Function, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/chain_pool_init.jl:86 [6] bat_sample_impl(m::PosteriorMeasure{Likelihood{ComposedFunction{Base.Fix2{Type{MvNormal}, Matrix{Float64}}, Base.Fix2{typeof(unshaped), NamedTupleShape{(:a, :b, :c, :d, :e, :f), Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, Vector{Float64}}, BAT.BATDistMeasure{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, PriorToNormal, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_sample.jl:83 [7] bat_sample(target::PosteriorMeasure{Likelihood{ComposedFunction{Base.Fix2{Type{MvNormal}, Matrix{Float64}}, Base.Fix2{typeof(unshaped), NamedTupleShape{(:a, :b, :c, :d, :e, :f), Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, Vector{Float64}}, BAT.BATDistMeasure{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, algorithm::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, PriorToNormal, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/algotypes/sampling_algorithm.jl:57 [8] bat_sample(target::PosteriorMeasure{Likelihood{ComposedFunction{Base.Fix2{Type{MvNormal}, Matrix{Float64}}, Base.Fix2{typeof(unshaped), NamedTupleShape{(:a, :b, :c, :d, :e, :f), Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, Vector{Float64}}, BAT.BATDistMeasure{NamedTupleDist{(:a, :b, :c, :d, :e, :f), Tuple{Exponential{Float64}, ConstValueDist{Multivariate, Vector{Float64}}, Normal{Float64}, Product{Continuous, Weibull{Float64}, Vector{Weibull{Float64}}}, Beta{Float64}, FullNormal}, Tuple{ValueAccessor{ScalarShape{Real}}, ValueAccessor{ConstValueShape{Vector{Float64}, true}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}, ValueAccessor{ScalarShape{Real}}, ValueAccessor{ArrayShape{Real, 1}}}, NamedTuple}}}, algorithm::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, PriorToNormal, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}) @ BAT ~/.julia/packages/BAT/yelYL/src/algotypes/sampling_algorithm.jl:68 [9] (::var"#85#86")(tmp_datadir::String) @ Main ~/.julia/packages/BAT/yelYL/test/io/test_hdf5.jl:14 [10] mktempdir(fn::var"#85#86", parent::String; prefix::String) @ Base.Filesystem ./file.jl:936 [11] mktempdir(fn::Function, parent::String) @ Base.Filesystem ./file.jl:932 [12] top-level scope @ ~/.julia/packages/BAT/yelYL/test/io/test_hdf5.jl:12 [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [14] macro expansion @ ~/.julia/packages/BAT/yelYL/test/io/test_hdf5.jl:12 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ ~/.julia/packages/BAT/yelYL/test/io/test_io.jl:6 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [18] macro expansion @ ~/.julia/packages/BAT/yelYL/test/io/test_io.jl:6 [inlined] [19] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [20] top-level scope @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:21 [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [22] macro expansion @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:32 [inlined] [23] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [24] top-level scope @ none:6 [25] eval(m::Module, e::Any) @ Core ./boot.jl:489 [26] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [27] _start() @ Base ./client.jl:577 funnel distribution: Error During Test at /home/pkgeval/.julia/packages/BAT/yelYL/test/integration/test_brigde_sampling_integration.jl:17 Got exception outside of a @test TaskFailedException nested task error: MethodError: Cannot `convert` an object of type LowerTriangular{Float64, Matrix{Float64}} to an object of type Adjoint{Float64, Matrix{Float64}} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: (::Type{Adjoint{T, S}} where {T, S})(::Any) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:33 convert(::Type{Adjoint{T, S}}, !Matched::Adjoint) where {T, S} @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:367 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}(data::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/triangular.jl:23 [2] convert(::Type{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}}, m::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/special.jl:70 [3] oftype(x::LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, y::LowerTriangular{Float64, Matrix{Float64}}) @ Base ./essentials.jl:711 [4] mcmc_tune_post_step!!(tuner_state::BAT.RAMTrafoTunerState, chain_state::MCMCChainState{BAT.BATDistMeasure{FunnelDistribution{Float64, Int64}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, p_accept::Vector{Float64}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_tuning/mcmc_ram_tuner.jl:102 [5] mcmc_tune_post_step!! @ ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_state.jl:349 [inlined] [6] mcmc_step!!(mcmc_state::MCMCState{MCMCChainState{BAT.BATDistMeasure{FunnelDistribution{Float64, Int64}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_state.jl:177 [7] mcmc_iterate!!(output::Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}, mcmc_state::MCMCState{MCMCChainState{BAT.BATDistMeasure{FunnelDistribution{Float64, Int64}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}; max_nsteps::Int64, max_time::Float64, nonzero_weights::Bool) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:280 [8] mcmc_iterate!! @ ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:262 [inlined] [9] (::BAT.var"#193#194"{@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}, Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{FunnelDistribution{Float64, Int64}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}, Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{FunnelDistribution{Float64, Int64}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}, Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, Int64})() @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:314 ...and 31 more exceptions. Stacktrace: [1] sync_end(c::Channel{Any}) @ Base ./task.jl:601 [2] macro expansion @ ./task.jl:634 [inlined] [3] mcmc_iterate!!(outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{FunnelDistribution{Float64, Int64}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}; kwargs::@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:313 [4] kwcall(::@NamedTuple{max_nsteps::Int64, nonzero_weights::Bool}, ::typeof(BAT.mcmc_iterate!!), outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{FunnelDistribution{Float64, Int64}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:298 [5] mcmc_init!(samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, DoNotTransform, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, target::BAT.BATDistMeasure{FunnelDistribution{Float64, Int64}}, init_alg::MCMCChainPoolInit, callback::Function, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/chain_pool_init.jl:86 [6] bat_sample_impl(m::BAT.BATDistMeasure{FunnelDistribution{Float64, Int64}}, samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, DoNotTransform, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_sample.jl:83 [7] bat_sample(target::FunnelDistribution{Float64, Int64}, algorithm::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, DoNotTransform, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/algotypes/sampling_algorithm.jl:57 [8] bat_sample(target::FunnelDistribution{Float64, Int64}, algorithm::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, DoNotTransform, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}) @ BAT ~/.julia/packages/BAT/yelYL/src/algotypes/sampling_algorithm.jl:68 [9] macro expansion @ ~/.julia/packages/BAT/yelYL/test/integration/test_brigde_sampling_integration.jl:23 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [11] (::var"#test_integration#test_integration##0"{var"#test_integration#87#88"{BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}})(algorithm::BridgeSampling{DoNotTransform, EffSampleSizeFromAC{GeyerAutocorLen}}, title::String, dist::FunnelDistribution{Float64, Int64}; val_expected::Float64, val_rtol::Int64, err_max::Float64) @ Main ~/.julia/packages/BAT/yelYL/test/integration/test_brigde_sampling_integration.jl:18 [12] kwcall(::@NamedTuple{val_rtol::Int64}, ::var"#test_integration#test_integration##0"{var"#test_integration#87#88"{BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}}, algorithm::BridgeSampling{DoNotTransform, EffSampleSizeFromAC{GeyerAutocorLen}}, title::String, dist::FunnelDistribution{Float64, Int64}) @ Main ~/.julia/packages/BAT/yelYL/test/integration/test_brigde_sampling_integration.jl:14 [13] top-level scope @ ~/.julia/packages/BAT/yelYL/test/integration/test_brigde_sampling_integration.jl:12 [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [15] macro expansion @ ~/.julia/packages/BAT/yelYL/test/integration/test_brigde_sampling_integration.jl:32 [inlined] [16] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [17] top-level scope @ ~/.julia/packages/BAT/yelYL/test/integration/test_integration.jl:6 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [19] macro expansion @ ~/.julia/packages/BAT/yelYL/test/integration/test_integration.jl:6 [inlined] [20] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [21] top-level scope @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:21 [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [23] macro expansion @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:34 [inlined] [24] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [25] top-level scope @ none:6 [26] eval(m::Module, e::Any) @ Core ./boot.jl:489 [27] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [28] _start() @ Base ./client.jl:577 MvNormal: Error During Test at /home/pkgeval/.julia/packages/BAT/yelYL/test/integration/test_brigde_sampling_integration.jl:17 Got exception outside of a @test TaskFailedException nested task error: MethodError: Cannot `convert` an object of type LowerTriangular{Float64, Matrix{Float64}} to an object of type Adjoint{Float64, Matrix{Float64}} The function `convert` exists, but no method is defined for this combination of argument types. Closest candidates are: (::Type{Adjoint{T, S}} where {T, S})(::Any) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:33 convert(::Type{Adjoint{T, S}}, !Matched::Adjoint) where {T, S} @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:367 convert(::Type{T}, !Matched::T) where T<:AbstractArray @ Base abstractarray.jl:16 ... Stacktrace: [1] LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}(data::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/triangular.jl:23 [2] convert(::Type{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}}, m::LowerTriangular{Float64, Matrix{Float64}}) @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/special.jl:70 [3] oftype(x::LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, y::LowerTriangular{Float64, Matrix{Float64}}) @ Base ./essentials.jl:711 [4] mcmc_tune_post_step!!(tuner_state::BAT.RAMTrafoTunerState, chain_state::MCMCChainState{BAT.BATDistMeasure{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, p_accept::Vector{Float64}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_tuning/mcmc_ram_tuner.jl:102 [5] mcmc_tune_post_step!! @ ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_state.jl:349 [inlined] [6] mcmc_step!!(mcmc_state::MCMCState{MCMCChainState{BAT.BATDistMeasure{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_state.jl:177 [7] mcmc_iterate!!(output::Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}, mcmc_state::MCMCState{MCMCChainState{BAT.BATDistMeasure{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}; max_nsteps::Int64, max_time::Float64, nonzero_weights::Bool) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:280 [8] mcmc_iterate!! @ ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:262 [inlined] [9] (::BAT.var"#193#194"{@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}, Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}, Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}, Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, Int64})() @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:314 ...and 31 more exceptions. Stacktrace: [1] sync_end(c::Channel{Any}) @ Base ./task.jl:601 [2] macro expansion @ ./task.jl:634 [inlined] [3] mcmc_iterate!!(outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}; kwargs::@Kwargs{max_nsteps::Int64, nonzero_weights::Bool}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:313 [4] kwcall(::@NamedTuple{max_nsteps::Int64, nonzero_weights::Bool}, ::typeof(BAT.mcmc_iterate!!), outputs::Vector{Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, walkerid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int32}}, Int64}, aux::Vector{Nothing}}, Int64}}}, mcmc_states::Vector{MCMCState{MCMCChainState{BAT.BATDistMeasure{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, BAT.RNGPartition{Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, AffineMaps.MulAdd{LowerTriangular{Float64, Adjoint{Float64, Matrix{Float64}}}, Vector{Float64}}, MHProposalState{BAT.BATDistMeasure{Distributions.GenericMvTDist{Float64, ScalMat{Float64}, Zeros{Float64, 1, Tuple{Base.OneTo{Int64}}}}}}, RepetitionWeighting{Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArrayOfSimilarArrays{Float64, 1, 1, 2, Matrix{Float64}}, logd::Vector{Float64}, weight::Vector{Int64}, info::Vector{BAT.MCMCSampleID}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}, BAT.NoMCMCProposalTunerState, BAT.RAMTrafoTunerState, BAT.MCMCNoTemperingState}}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_algorithm.jl:298 [5] mcmc_init!(samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, DoNotTransform, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, target::BAT.BATDistMeasure{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, init_alg::MCMCChainPoolInit, callback::Function, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/chain_pool_init.jl:86 [6] bat_sample_impl(m::BAT.BATDistMeasure{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, samplingalg::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, DoNotTransform, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/samplers/mcmc/mcmc_sample.jl:83 [7] bat_sample(target::ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, algorithm::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, DoNotTransform, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}, context::BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}) @ BAT ~/.julia/packages/BAT/yelYL/src/algotypes/sampling_algorithm.jl:57 [8] bat_sample(target::ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, algorithm::TransformedMCMC{RandomWalk{TDist{Float64}}, NoMCMCProposalTuning, DoNotTransform, BAT.TriangularAffineTransform, RAMTuning, BAT.NoMCMCTempering, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, RepetitionWeighting{Int64}, typeof(BAT.nop_func)}) @ BAT ~/.julia/packages/BAT/yelYL/src/algotypes/sampling_algorithm.jl:68 [9] macro expansion @ ~/.julia/packages/BAT/yelYL/test/integration/test_brigde_sampling_integration.jl:23 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [11] (::var"#test_integration#test_integration##0"{var"#test_integration#87#88"{BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}})(algorithm::BridgeSampling{DoNotTransform, EffSampleSizeFromAC{GeyerAutocorLen}}, title::String, dist::ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}; val_expected::Float64, val_rtol::Int64, err_max::Float64) @ Main ~/.julia/packages/BAT/yelYL/test/integration/test_brigde_sampling_integration.jl:18 [12] kwcall(::@NamedTuple{val_rtol::Int64}, ::var"#test_integration#test_integration##0"{var"#test_integration#87#88"{BATContext{Float64, Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, NoAutoDiff}}}, algorithm::BridgeSampling{DoNotTransform, EffSampleSizeFromAC{GeyerAutocorLen}}, title::String, dist::ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}) @ Main ~/.julia/packages/BAT/yelYL/test/integration/test_brigde_sampling_integration.jl:14 [13] top-level scope @ ~/.julia/packages/BAT/yelYL/test/integration/test_brigde_sampling_integration.jl:12 [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [15] macro expansion @ ~/.julia/packages/BAT/yelYL/test/integration/test_brigde_sampling_integration.jl:37 [inlined] [16] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [17] top-level scope @ ~/.julia/packages/BAT/yelYL/test/integration/test_integration.jl:6 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [19] macro expansion @ ~/.julia/packages/BAT/yelYL/test/integration/test_integration.jl:6 [inlined] [20] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [21] top-level scope @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:21 [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1961 [inlined] [23] macro expansion @ ~/.julia/packages/BAT/yelYL/test/runtests.jl:34 [inlined] [24] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [25] top-level scope @ none:6 [26] eval(m::Module, e::Any) @ Core ./boot.jl:489 [27] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [28] _start() @ Base ./client.jl:577 Test Summary: | Pass Error Total Time Package BAT | 706 15 721 22m59.9s Aqua tests | 9 9 3m25.0s utils | 15 15 2.3s rngs | 23 23 4.0s distributions | 289 289 35.6s parameters | 51 51 44.5s transforms | 152 152 5m03.3s densities | 7 7 1.9s initvals | 14 14 9.5s statistics | 72 72 44.6s optimization | 18 4 22 41.2s mode_estimators | 18 4 22 28.8s ModeAsDefined | 5 5 9.4s MaxDensitySearch | 3 3 0.6s Optim.jl - NelderMead | 2 2 1.5s Optim.jl with custom options | 4 4 0.1s Optim.jl - LBFGS | 4 4 9.5s Optimization.jl - NelderMead | 2 2 4.9s test_findmode OptimizationAlg | 1 1 3.9s Optimization.jl with custom options | 2 2 0.7s test_findmode OptimizationAlg | 1 1 0.3s samplers | 49 8 57 10m13.3s bat_sample | 20 20 7.2s mcmc | 13 8 21 7m34.6s proposaldist | 0 0.0s mcmc_sample | 1 1 54.2s RandomWalk | 3 4 7 1m14.8s MCMC iteration | 1 1 10.4s MCMC tuning and burn-in | 1 1 2 35.0s bat_sample | 1 1 7.0s MCMC sampling in transformed space | 1 1 22.2s HamiltonianMC | 10 3 13 5m25.1s MCMC iteration | 6 6 46.3s MCMC tuning and burn-in | 1 1 16.8s bat_sample | 1 1 3.2s MCMC sampling in transformed space | 1 1 59.9s HMC autodiff | 2 2 3m18.8s importance_samplers | 4 4 7.6s nested_sampling | 4 4 1m08.8s MGVI | 8 8 1m09.4s io | 1 1 25.4s hdf5 | 1 1 23.4s hdf5 | 0 0.0s plotting | 0 0.0s integration | 7 2 9 37.8s bridge_sampling_integration | 2 2 34.2s funnel distribution | 1 1 17.0s MvNormal | 1 1 15.6s cuba_integration | 7 7 3.4s RNG of the outermost testset: Xoshiro(0x1c9ec8f45556a2ce, 0xe891f00c2543e9d3, 0xad02845b68e63b05, 0x045fc86e3fc57b5f, 0x55ffa9e59007e6f9) ERROR: LoadError: Some tests did not pass: 706 passed, 0 failed, 15 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/BAT/yelYL/test/runtests.jl:20 Testing failed after 1412.67s ERROR: LoadError: Package BAT errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.13/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/v1.13/Pkg/src/Operations.jl:2674 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2523 [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/v1.13/Pkg/src/API.jl:548 [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/v1.13/Pkg/src/API.jl:525 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/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/v1.13/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.13/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/v1.13/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [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:577 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 2012.19s: package tests unexpectedly errored