Package evaluation of EFTfitter on Julia 1.13.0-DEV.655 (3a5e1f15ec*) started at 2025-05-30T01:06:32.299 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.23s ################################################################################ # Installation # Installing EFTfitter... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [2a2a6a96] + EFTfitter v0.2.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.14.0 [c29ec348] + AbstractDifferentiation v0.6.2 [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [2c83c9a8] + AffineMaps v0.3.3 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [65a8f2f4] + ArraysOfArrays v0.6.5 ⌅ [6e1301d5] + AutoDiffOperators v0.1.8 [13072b0f] + AxisAlgorithms v1.1.0 ⌃ [c0cd4b16] + BAT v3.1.2 [6e4b80f9] + BenchmarkTools v1.6.0 [49dc2e85] + Calculus v0.5.2 [082447d4] + ChainRules v1.72.3 [d360d2e6] + ChainRulesCore v1.25.1 [9e997f8a] + ChangesOfVariables v0.1.10 [aaaa29a8] + Clustering v0.15.8 ⌅ [3da002f7] + ColorTypes v0.11.5 ⌅ [5ae59095] + Colors v0.12.11 [861a8166] + Combinatorics v1.0.3 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.5.8 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [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 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.120 [ced4e74d] + DistributionsAD v0.6.58 [ffbed154] + DocStringExtensions v0.9.4 [497a8b3b] + DoubleFloats v1.4.3 [2a2a6a96] + EFTfitter v0.2.0 [fdbdab4c] + ElasticArrays v1.2.12 [547eee1f] + ElasticClusterManager v2.0.0 [0bbb1fad] + EmpiricalDistributions v0.3.8 [e2ba6199] + ExprTools v0.1.10 [7a1cc6ca] + FFTW v1.8.1 [1a297f60] + FillArrays v1.13.0 [53c48c17] + FixedPointNumbers v0.8.5 ⌅ [f6369f11] + ForwardDiff v0.10.38 [450a3b6d] + ForwardDiffPullbacks v0.2.7 ⌅ [8e6b2b91] + FunctionChains v0.1.6 ⌅ [d9f16b24] + Functors v0.4.12 [46192b85] + GPUArraysCore v0.2.0 [14197337] + GenericLinearAlgebra v0.3.17 [2182be2a] + HeterogeneousComputing v0.2.3 [34004b35] + HypergeometricFunctions v0.3.28 [09f84164] + HypothesisTests v0.11.5 [615f187c] + IfElse v0.1.1 [313cdc1a] + Indexing v1.1.1 ⌅ [a98d9a8b] + Interpolations v0.15.1 [8197267c] + IntervalSets v0.7.11 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [5ab0869b] + KernelDensity v0.6.9 [b964fa9f] + LaTeXStrings v1.4.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [aa2f6b4e] + LogarithmicNumbers v1.4.1 [1914dd2f] + MacroTools v0.5.16 [dbb5928d] + MappedArrays v0.4.2 [fa1605e6] + MeasureBase v0.14.13 [eff96d63] + Measurements v2.12.0 [e1d29d7a] + Missings v1.2.0 [77ba4419] + NaNMath v1.1.3 [86f7a689] + NamedArrays v0.10.3 ⌅ [d9ec5142] + NamedTupleTools v0.13.7 [b8a86587] + NearestNeighbors v0.4.21 [6fe1bfb0] + OffsetArrays v1.17.0 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [8e8a01fc] + ParallelProcessingTools v0.4.8 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.3 ⌃ [f27b6e38] + Polynomials v3.2.13 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [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 v2.2.7 ⌅ [efcf1570] + Setfield v0.7.1 [ed01d8cd] + Sobol v1.5.0 [a2af1166] + SortingAlgorithms v1.2.1 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.5.1 [03a91e81] + SplitApplyCombine v1.2.3 [860ef19b] + StableRNGs v1.0.3 [aedffcd0] + Static v1.2.0 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 [4c63d2b9] + StatsFuns v1.5.0 ⌅ [09ab397b] + StructArrays v0.6.21 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [410a4b4d] + Tricks v0.1.10 [9d95f2ec] + TypedTables v1.4.6 [3a884ed6] + UnPack v1.0.2 ⌅ [136a8f8c] + ValueShapes v0.10.14 [efce3f68] + WoodburyMatrices v1.0.0 [700de1a5] + ZygoteRules v0.2.7 [f5851436] + FFTW_jll v3.3.11+0 [1d5cc7b8] + IntelOpenMP_jll v2025.0.4+0 [856f044c] + MKL_jll v2025.0.1+1 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [1317d2d5] + oneTBB_jll v2022.0.0+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [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 [9abbd945] + Profile 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 v1.12.0 [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 v8.12.1+1 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.12.0+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 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` Installation completed after 5.27s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 316.01s ################################################################################ # Testing # Testing EFTfitter Status `/tmp/jl_S6sznF/Project.toml` ⌃ [c0cd4b16] BAT v3.1.2 [6e4b80f9] BenchmarkTools v1.6.0 [b429d917] DensityInterface v0.4.0 [31c24e10] Distributions v0.25.120 [2a2a6a96] EFTfitter v0.2.0 [8197267c] IntervalSets v0.7.11 ⌅ [d9ec5142] NamedTupleTools v0.13.7 [d96e819e] Parameters v0.12.3 [3cdcf5f2] RecipesBase v1.3.4 [ae029012] Requires v1.3.1 ⌅ [efcf1570] Setfield v0.7.1 [276daf66] SpecialFunctions v2.5.1 [2913bbd2] StatsBase v0.34.5 [9d95f2ec] TypedTables v1.4.6 ⌅ [136a8f8c] ValueShapes v0.10.14 [37e2e46d] LinearAlgebra v1.12.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.12.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_S6sznF/Manifest.toml` [47edcb42] ADTypes v1.14.0 [c29ec348] AbstractDifferentiation v0.6.2 [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [2c83c9a8] AffineMaps v0.3.3 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [65a8f2f4] ArraysOfArrays v0.6.5 ⌅ [6e1301d5] AutoDiffOperators v0.1.8 [13072b0f] AxisAlgorithms v1.1.0 ⌃ [c0cd4b16] BAT v3.1.2 [6e4b80f9] BenchmarkTools v1.6.0 [49dc2e85] Calculus v0.5.2 [082447d4] ChainRules v1.72.3 [d360d2e6] ChainRulesCore v1.25.1 [9e997f8a] ChangesOfVariables v0.1.10 [aaaa29a8] Clustering v0.15.8 ⌅ [3da002f7] ColorTypes v0.11.5 ⌅ [5ae59095] Colors v0.12.11 [861a8166] Combinatorics v1.0.3 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.16.0 [a33af91c] CompositionsBase v0.1.2 [187b0558] ConstructionBase v1.5.8 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 [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 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.120 [ced4e74d] DistributionsAD v0.6.58 [ffbed154] DocStringExtensions v0.9.4 [497a8b3b] DoubleFloats v1.4.3 [2a2a6a96] EFTfitter v0.2.0 [fdbdab4c] ElasticArrays v1.2.12 [547eee1f] ElasticClusterManager v2.0.0 [0bbb1fad] EmpiricalDistributions v0.3.8 [e2ba6199] ExprTools v0.1.10 [7a1cc6ca] FFTW v1.8.1 [1a297f60] FillArrays v1.13.0 [53c48c17] FixedPointNumbers v0.8.5 ⌅ [f6369f11] ForwardDiff v0.10.38 [450a3b6d] ForwardDiffPullbacks v0.2.7 ⌅ [8e6b2b91] FunctionChains v0.1.6 ⌅ [d9f16b24] Functors v0.4.12 [46192b85] GPUArraysCore v0.2.0 [14197337] GenericLinearAlgebra v0.3.17 [2182be2a] HeterogeneousComputing v0.2.3 [34004b35] HypergeometricFunctions v0.3.28 [09f84164] HypothesisTests v0.11.5 [615f187c] IfElse v0.1.1 [313cdc1a] Indexing v1.1.1 ⌅ [a98d9a8b] Interpolations v0.15.1 [8197267c] IntervalSets v0.7.11 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [5ab0869b] KernelDensity v0.6.9 [b964fa9f] LaTeXStrings v1.4.0 [2ab3a3ac] LogExpFunctions v0.3.29 [aa2f6b4e] LogarithmicNumbers v1.4.1 [1914dd2f] MacroTools v0.5.16 [dbb5928d] MappedArrays v0.4.2 [fa1605e6] MeasureBase v0.14.13 [eff96d63] Measurements v2.12.0 [e1d29d7a] Missings v1.2.0 [77ba4419] NaNMath v1.1.3 [86f7a689] NamedArrays v0.10.3 ⌅ [d9ec5142] NamedTupleTools v0.13.7 [b8a86587] NearestNeighbors v0.4.21 [6fe1bfb0] OffsetArrays v1.17.0 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.35 [8e8a01fc] ParallelProcessingTools v0.4.8 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 ⌃ [f27b6e38] Polynomials v3.2.13 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [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 v2.2.7 ⌅ [efcf1570] Setfield v0.7.1 [ed01d8cd] Sobol v1.5.0 [a2af1166] SortingAlgorithms v1.2.1 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.5.1 [03a91e81] SplitApplyCombine v1.2.3 [860ef19b] StableRNGs v1.0.3 [aedffcd0] Static v1.2.0 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.5 [4c63d2b9] StatsFuns v1.5.0 ⌅ [09ab397b] StructArrays v0.6.21 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [410a4b4d] Tricks v0.1.10 [9d95f2ec] TypedTables v1.4.6 [3a884ed6] UnPack v1.0.2 ⌅ [136a8f8c] ValueShapes v0.10.14 [efce3f68] WoodburyMatrices v1.0.0 [700de1a5] ZygoteRules v0.2.7 [f5851436] FFTW_jll v3.3.11+0 [1d5cc7b8] IntelOpenMP_jll v2025.0.4+0 [856f044c] MKL_jll v2025.0.1+1 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [1317d2d5] oneTBB_jll v2022.0.0+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [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 [9abbd945] Profile 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 v1.12.0 [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 v8.12.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.12.0+0 [8e850ede] nghttp2_jll v1.65.0+0 [3f19e933] p7zip_jll v17.5.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... nui: NuisanceCorrelation(:unc1, :meas1, :meas3, Uniform{Float64}(a=0.0, b=0.5)) nui_k: ρ1 [ Info: Setting new default BAT context BATContext{Float64}(Random123.Philox4x{UInt64, 10}(0xdf1d60e72ff44be6, 0x4ee36b540fe28fea, 0x4db35aec67dbfb1d, 0xbc2778ce8d2c5884, 0xfbbad0caad9d2920, 0xe26c8205fae17e2a, 0x0000000000000000, 0x0000000000000000, 0x0000000000000000, 0x0000000000000000, 0), HeterogeneousComputing.CPUnit(), BAT._NoADSelected()) [ Info: MCMCChainPoolInit: trying to generate 4 viable MCMC chain(s). Test criterion_value: Error During Test at /home/pkgeval/.julia/packages/EFTfitter/0ViNh/test/test_ranking.jl:77 Test threw exception Expression: ≈(EFTfitter.criterion_value(SmallestInterval(key = :p1, p = 0.9), unc_models[1]), 0.284, rtol = 0.05) TaskFailedException nested task error: Density evaluation with logdensityof failed at (p1 = 0.0565987762481609, p2 = 0.05316888899211389) due to exception BoundsError: attempt to access 1×4 Matrix{Float64} at index [2, 1], density is DensityWithShape(objectid = 0xb9a7a2d81858cb89, varshape = NamedTupleShape((:p1, :p2)}(…)) Stacktrace: [1] throw_boundserror(A::Matrix{Float64}, I::Tuple{Int64, Int64}) @ Base ./essentials.jl:15 [2] checkbounds @ ./abstractarray.jl:697 [inlined] [3] _setindex! @ ./array.jl:1002 [inlined] [4] setindex! @ ./array.jl:997 [inlined] [5] evaluate_funcs!(nomuncs::EFTfitter.NoModelUncertainties, D::EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}, current_params::@NamedTuple{p1::Float64, p2::Float64}) @ EFTfitter ~/.julia/packages/EFTfitter/0ViNh/src/EFTfitterLikelihood.jl:22 [6] logdensityof(D::EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}, params::@NamedTuple{p1::Float64, p2::Float64}) @ EFTfitter ~/.julia/packages/EFTfitter/0ViNh/src/EFTfitterLikelihood.jl:41 [7] logdensityof @ ~/.julia/packages/BAT/pYfQ6/src/densities/abstract_density.jl:436 [inlined] [8] logdensityof @ ~/.julia/packages/BAT/pYfQ6/src/densities/shaped_densities.jl:17 [inlined] [9] checked_logdensityof(density::BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, v::@NamedTuple{p1::Float64, p2::Float64}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/densities/abstract_density.jl:176 [10] checked_logdensityof(density::BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, v::SubArray{Float64, 1, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}, Tuple{Base.Slice{Base.OneTo{Int64}}, Int64}, true}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/densities/transformed_density.jl:70 [11] checked_logdensityof @ ~/.julia/packages/BAT/pYfQ6/src/densities/posterior_density.jl:63 [inlined] [12] mcmc_step!(chain::BAT.MHIterator{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PosteriorMeasure{Float64, Float64, BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, BAT.DistMeasure{BAT.StandardMvNormal{Float64}, BAT.HyperRectBounds{Float32}}, ValueShapes.ArrayShape{Real, 1}, BAT.HyperRectBounds{Float32}}, BAT.RNGPartition{Random123.Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, BAT.GenericProposalDist{Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, typeof(BAT.bat_sampler), Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mh/mh_sampler.jl:267 [13] mcmc_iterate!(output::StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}, chain::BAT.MHIterator{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PosteriorMeasure{Float64, Float64, BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, BAT.DistMeasure{BAT.StandardMvNormal{Float64}, BAT.HyperRectBounds{Float32}}, ValueShapes.ArrayShape{Real, 1}, BAT.HyperRectBounds{Float32}}, BAT.RNGPartition{Random123.Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, BAT.GenericProposalDist{Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, typeof(BAT.bat_sampler), Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}}, tuner::Nothing; max_nsteps::Int64, max_time::Float64, nonzero_weights::Bool, callback::typeof(BAT.nop_func)) @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:215 [14] mcmc_iterate! (repeats 2 times) @ ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:195 [inlined] [15] #mcmc_iterate!#200 @ ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:247 [inlined] [16] mcmc_iterate! @ ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:237 [inlined] [17] (::BAT.var"#203#204"{@Kwargs{max_nsteps::Int64, callback::typeof(BAT.nop_func), nonzero_weights::Bool}, Vector{BAT.MHIterator{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PosteriorMeasure{Float64, Float64, BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, BAT.DistMeasure{BAT.StandardMvNormal{Float64}, BAT.HyperRectBounds{Float32}}, ValueShapes.ArrayShape{Real, 1}, BAT.HyperRectBounds{Float32}}, BAT.RNGPartition{Random123.Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, BAT.GenericProposalDist{Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, typeof(BAT.bat_sampler), Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}}}, Vector{BAT.ProposalCovTuner{BAT.MCMCBasicStats{Float64, Float64}}}, Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}}, Int64})() @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:273 ...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{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}}, chains::Vector{BAT.MHIterator{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PosteriorMeasure{Float64, Float64, BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, BAT.DistMeasure{BAT.StandardMvNormal{Float64}, BAT.HyperRectBounds{Float32}}, ValueShapes.ArrayShape{Real, 1}, BAT.HyperRectBounds{Float32}}, BAT.RNGPartition{Random123.Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, BAT.GenericProposalDist{Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, typeof(BAT.bat_sampler), Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}}}, tuners::Vector{BAT.ProposalCovTuner{BAT.MCMCBasicStats{Float64, Float64}}}; kwargs::@Kwargs{max_nsteps::Int64, callback::typeof(BAT.nop_func), nonzero_weights::Bool}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:272 [4] mcmc_init!(algorithm::MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, density::PosteriorMeasure{Float64, Float64, BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, BAT.DistMeasure{BAT.StandardMvNormal{Float64}, BAT.HyperRectBounds{Float32}}, ValueShapes.ArrayShape{Real, 1}, BAT.HyperRectBounds{Float32}}, nchains::Int64, init_alg::MCMCChainPoolInit, tuning_alg::AdaptiveMHTuning, nonzero_weights::Bool, callback::Function, context::BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/chain_pool_init.jl:108 [5] bat_sample_impl(target::PosteriorMeasure{Float64, Float64, BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistMeasure{ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, algorithm::MCMCSampling{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PriorToGaussian, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, typeof(BAT.nop_func)}, context::BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_sample.jl:51 [6] bat_sample(target::PosteriorMeasure{Float64, Float64, BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistMeasure{ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, algorithm::MCMCSampling{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PriorToGaussian, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, typeof(BAT.nop_func)}, context::BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/algotypes/sampling_algorithm.jl:46 [7] bat_sample(target::PosteriorMeasure{Float64, Float64, BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistMeasure{ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, algorithm::MCMCSampling{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PriorToGaussian, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, typeof(BAT.nop_func)}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/algotypes/sampling_algorithm.jl:55 [8] criterion_value(criterion::SmallestInterval{Int64}, model::EFTfitterModel; sampling_algorithm::MCMCSampling{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PriorToGaussian, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, typeof(BAT.nop_func)}) @ EFTfitter ~/.julia/packages/EFTfitter/0ViNh/src/ranking/ranking.jl:256 [9] criterion_value(criterion::SmallestInterval{Int64}, model::EFTfitterModel) @ EFTfitter ~/.julia/packages/EFTfitter/0ViNh/src/ranking/ranking.jl:250 [10] top-level scope @ ~/.julia/packages/EFTfitter/0ViNh/test/test_ranking.jl:2 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1833 [inlined] [12] macro expansion @ ~/.julia/packages/EFTfitter/0ViNh/test/test_ranking.jl:77 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1833 [inlined] [14] macro expansion @ ~/.julia/packages/EFTfitter/0ViNh/test/test_ranking.jl:77 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [ Info: MCMCChainPoolInit: trying to generate 4 viable MCMC chain(s). Test criterion_value: Error During Test at /home/pkgeval/.julia/packages/EFTfitter/0ViNh/test/test_ranking.jl:78 Test threw exception Expression: ≈(EFTfitter.criterion_value(SmallestInterval(key = :p2, p = 0.9), unc_models[1]), 0.071, rtol = 0.05) TaskFailedException nested task error: Density evaluation with logdensityof failed at (p1 = -0.17240634265583663, p2 = 0.07872915906674685) due to exception BoundsError: attempt to access 1×4 Matrix{Float64} at index [2, 1], density is DensityWithShape(objectid = 0x32aa2eb4b9c44949, varshape = NamedTupleShape((:p1, :p2)}(…)) Stacktrace: [1] throw_boundserror(A::Matrix{Float64}, I::Tuple{Int64, Int64}) @ Base ./essentials.jl:15 [2] checkbounds @ ./abstractarray.jl:697 [inlined] [3] _setindex! @ ./array.jl:1002 [inlined] [4] setindex! @ ./array.jl:997 [inlined] [5] evaluate_funcs!(nomuncs::EFTfitter.NoModelUncertainties, D::EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}, current_params::@NamedTuple{p1::Float64, p2::Float64}) @ EFTfitter ~/.julia/packages/EFTfitter/0ViNh/src/EFTfitterLikelihood.jl:22 [6] logdensityof(D::EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}, params::@NamedTuple{p1::Float64, p2::Float64}) @ EFTfitter ~/.julia/packages/EFTfitter/0ViNh/src/EFTfitterLikelihood.jl:41 [7] logdensityof @ ~/.julia/packages/BAT/pYfQ6/src/densities/abstract_density.jl:436 [inlined] [8] logdensityof @ ~/.julia/packages/BAT/pYfQ6/src/densities/shaped_densities.jl:17 [inlined] [9] checked_logdensityof(density::BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, v::@NamedTuple{p1::Float64, p2::Float64}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/densities/abstract_density.jl:176 [10] checked_logdensityof(density::BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, v::SubArray{Float64, 1, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}, Tuple{Base.Slice{Base.OneTo{Int64}}, Int64}, true}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/densities/transformed_density.jl:70 [11] checked_logdensityof @ ~/.julia/packages/BAT/pYfQ6/src/densities/posterior_density.jl:63 [inlined] [12] mcmc_step!(chain::BAT.MHIterator{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PosteriorMeasure{Float64, Float64, BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, BAT.DistMeasure{BAT.StandardMvNormal{Float64}, BAT.HyperRectBounds{Float32}}, ValueShapes.ArrayShape{Real, 1}, BAT.HyperRectBounds{Float32}}, BAT.RNGPartition{Random123.Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, BAT.GenericProposalDist{Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, typeof(BAT.bat_sampler), Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mh/mh_sampler.jl:267 [13] mcmc_iterate!(output::StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}, chain::BAT.MHIterator{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PosteriorMeasure{Float64, Float64, BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, BAT.DistMeasure{BAT.StandardMvNormal{Float64}, BAT.HyperRectBounds{Float32}}, ValueShapes.ArrayShape{Real, 1}, BAT.HyperRectBounds{Float32}}, BAT.RNGPartition{Random123.Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, BAT.GenericProposalDist{Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, typeof(BAT.bat_sampler), Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}}, tuner::Nothing; max_nsteps::Int64, max_time::Float64, nonzero_weights::Bool, callback::typeof(BAT.nop_func)) @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:215 [14] mcmc_iterate! (repeats 2 times) @ ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:195 [inlined] [15] #mcmc_iterate!#200 @ ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:247 [inlined] [16] mcmc_iterate! @ ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:237 [inlined] [17] (::BAT.var"#203#204"{@Kwargs{max_nsteps::Int64, callback::typeof(BAT.nop_func), nonzero_weights::Bool}, Vector{BAT.MHIterator{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PosteriorMeasure{Float64, Float64, BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, BAT.DistMeasure{BAT.StandardMvNormal{Float64}, BAT.HyperRectBounds{Float32}}, ValueShapes.ArrayShape{Real, 1}, BAT.HyperRectBounds{Float32}}, BAT.RNGPartition{Random123.Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, BAT.GenericProposalDist{Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, typeof(BAT.bat_sampler), Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}}}, Vector{BAT.ProposalCovTuner{BAT.MCMCBasicStats{Float64, Float64}}}, Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}}, Int64})() @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:273 ...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{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}}, chains::Vector{BAT.MHIterator{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PosteriorMeasure{Float64, Float64, BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, BAT.DistMeasure{BAT.StandardMvNormal{Float64}, BAT.HyperRectBounds{Float32}}, ValueShapes.ArrayShape{Real, 1}, BAT.HyperRectBounds{Float32}}, BAT.RNGPartition{Random123.Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, BAT.GenericProposalDist{Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, typeof(BAT.bat_sampler), Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}}}, tuners::Vector{BAT.ProposalCovTuner{BAT.MCMCBasicStats{Float64, Float64}}}; kwargs::@Kwargs{max_nsteps::Int64, callback::typeof(BAT.nop_func), nonzero_weights::Bool}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:272 [4] mcmc_init!(algorithm::MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, density::PosteriorMeasure{Float64, Float64, BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, BAT.DistMeasure{BAT.StandardMvNormal{Float64}, BAT.HyperRectBounds{Float32}}, ValueShapes.ArrayShape{Real, 1}, BAT.HyperRectBounds{Float32}}, nchains::Int64, init_alg::MCMCChainPoolInit, tuning_alg::AdaptiveMHTuning, nonzero_weights::Bool, callback::Function, context::BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/chain_pool_init.jl:108 [5] bat_sample_impl(target::PosteriorMeasure{Float64, Float64, BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistMeasure{ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, algorithm::MCMCSampling{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PriorToGaussian, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, typeof(BAT.nop_func)}, context::BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_sample.jl:51 [6] bat_sample(target::PosteriorMeasure{Float64, Float64, BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistMeasure{ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, algorithm::MCMCSampling{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PriorToGaussian, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, typeof(BAT.nop_func)}, context::BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/algotypes/sampling_algorithm.jl:46 [7] bat_sample(target::PosteriorMeasure{Float64, Float64, BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistMeasure{ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, algorithm::MCMCSampling{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PriorToGaussian, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, typeof(BAT.nop_func)}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/algotypes/sampling_algorithm.jl:55 [8] criterion_value(criterion::SmallestInterval{Int64}, model::EFTfitterModel; sampling_algorithm::MCMCSampling{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PriorToGaussian, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, typeof(BAT.nop_func)}) @ EFTfitter ~/.julia/packages/EFTfitter/0ViNh/src/ranking/ranking.jl:256 [9] criterion_value(criterion::SmallestInterval{Int64}, model::EFTfitterModel) @ EFTfitter ~/.julia/packages/EFTfitter/0ViNh/src/ranking/ranking.jl:250 [10] top-level scope @ ~/.julia/packages/EFTfitter/0ViNh/test/test_ranking.jl:2 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1833 [inlined] [12] macro expansion @ ~/.julia/packages/EFTfitter/0ViNh/test/test_ranking.jl:77 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1833 [inlined] [14] macro expansion @ ~/.julia/packages/EFTfitter/0ViNh/test/test_ranking.jl:78 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [ Info: MCMCChainPoolInit: trying to generate 4 viable MCMC chain(s). Test criterion_value: Error During Test at /home/pkgeval/.julia/packages/EFTfitter/0ViNh/test/test_ranking.jl:80 Test threw exception Expression: ≈(EFTfitter.criterion_value(SumOfSmallestIntervals(p = 0.9), unc_models[1]), [0.284, 0.071], rtol = 0.05) TaskFailedException nested task error: Density evaluation with logdensityof failed at (p1 = 0.19914131641646515, p2 = 0.08795352802977241) due to exception BoundsError: attempt to access 1×4 Matrix{Float64} at index [2, 1], density is DensityWithShape(objectid = 0xaeeab6b764d5f6b5, varshape = NamedTupleShape((:p1, :p2)}(…)) Stacktrace: [1] throw_boundserror(A::Matrix{Float64}, I::Tuple{Int64, Int64}) @ Base ./essentials.jl:15 [2] checkbounds @ ./abstractarray.jl:697 [inlined] [3] _setindex! @ ./array.jl:1002 [inlined] [4] setindex! @ ./array.jl:997 [inlined] [5] evaluate_funcs!(nomuncs::EFTfitter.NoModelUncertainties, D::EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}, current_params::@NamedTuple{p1::Float64, p2::Float64}) @ EFTfitter ~/.julia/packages/EFTfitter/0ViNh/src/EFTfitterLikelihood.jl:22 [6] logdensityof(D::EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}, params::@NamedTuple{p1::Float64, p2::Float64}) @ EFTfitter ~/.julia/packages/EFTfitter/0ViNh/src/EFTfitterLikelihood.jl:41 [7] logdensityof @ ~/.julia/packages/BAT/pYfQ6/src/densities/abstract_density.jl:436 [inlined] [8] logdensityof @ ~/.julia/packages/BAT/pYfQ6/src/densities/shaped_densities.jl:17 [inlined] [9] checked_logdensityof(density::BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, v::@NamedTuple{p1::Float64, p2::Float64}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/densities/abstract_density.jl:176 [10] checked_logdensityof(density::BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, v::SubArray{Float64, 1, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}, Tuple{Base.Slice{Base.OneTo{Int64}}, Int64}, true}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/densities/transformed_density.jl:70 [11] checked_logdensityof @ ~/.julia/packages/BAT/pYfQ6/src/densities/posterior_density.jl:63 [inlined] [12] mcmc_step!(chain::BAT.MHIterator{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PosteriorMeasure{Float64, Float64, BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, BAT.DistMeasure{BAT.StandardMvNormal{Float64}, BAT.HyperRectBounds{Float32}}, ValueShapes.ArrayShape{Real, 1}, BAT.HyperRectBounds{Float32}}, BAT.RNGPartition{Random123.Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, BAT.GenericProposalDist{Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, typeof(BAT.bat_sampler), Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mh/mh_sampler.jl:267 [13] mcmc_iterate!(output::StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}, chain::BAT.MHIterator{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PosteriorMeasure{Float64, Float64, BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, BAT.DistMeasure{BAT.StandardMvNormal{Float64}, BAT.HyperRectBounds{Float32}}, ValueShapes.ArrayShape{Real, 1}, BAT.HyperRectBounds{Float32}}, BAT.RNGPartition{Random123.Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, BAT.GenericProposalDist{Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, typeof(BAT.bat_sampler), Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}}, tuner::Nothing; max_nsteps::Int64, max_time::Float64, nonzero_weights::Bool, callback::typeof(BAT.nop_func)) @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:215 [14] mcmc_iterate! (repeats 2 times) @ ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:195 [inlined] [15] #mcmc_iterate!#200 @ ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:247 [inlined] [16] mcmc_iterate! @ ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:237 [inlined] [17] (::BAT.var"#203#204"{@Kwargs{max_nsteps::Int64, callback::typeof(BAT.nop_func), nonzero_weights::Bool}, Vector{BAT.MHIterator{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PosteriorMeasure{Float64, Float64, BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, BAT.DistMeasure{BAT.StandardMvNormal{Float64}, BAT.HyperRectBounds{Float32}}, ValueShapes.ArrayShape{Real, 1}, BAT.HyperRectBounds{Float32}}, BAT.RNGPartition{Random123.Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, BAT.GenericProposalDist{Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, typeof(BAT.bat_sampler), Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}}}, Vector{BAT.ProposalCovTuner{BAT.MCMCBasicStats{Float64, Float64}}}, Vector{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}}, Int64})() @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:273 ...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{StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}}, chains::Vector{BAT.MHIterator{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PosteriorMeasure{Float64, Float64, BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, BAT.DistMeasure{BAT.StandardMvNormal{Float64}, BAT.HyperRectBounds{Float32}}, ValueShapes.ArrayShape{Real, 1}, BAT.HyperRectBounds{Float32}}, BAT.RNGPartition{Random123.Philox4x{UInt64, 10}, Tuple{UInt64, UInt64}, NTuple{6, UInt32}, UnitRange{Int64}}, BAT.GenericProposalDist{Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}, typeof(BAT.bat_sampler), Distributions.GenericMvTDist{Float64, PDMats.PDMat{Float64, Matrix{Float64}}, FillArrays.Fill{Float64, 1, Tuple{Base.OneTo{Int64}}}}}, StructArrays.StructVector{DensitySample{Vector{Float64}, Float64, Int64, BAT.MCMCSampleID, Nothing}, @NamedTuple{v::ArraysOfArrays.ArrayOfSimilarArrays{Float64, 1, 1, 2, ElasticArrays.ElasticMatrix{Float64, Vector{Float64}}}, logd::Vector{Float64}, weight::Vector{Int64}, info::StructArrays.StructVector{BAT.MCMCSampleID, @NamedTuple{chainid::Vector{Int32}, chaincycle::Vector{Int32}, stepno::Vector{Int64}, sampletype::Vector{Int64}}, Int64}, aux::Vector{Nothing}}, Int64}, BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}}}, tuners::Vector{BAT.ProposalCovTuner{BAT.MCMCBasicStats{Float64, Float64}}}; kwargs::@Kwargs{max_nsteps::Int64, callback::typeof(BAT.nop_func), nonzero_weights::Bool}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_algorithm.jl:272 [4] mcmc_init!(algorithm::MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, density::PosteriorMeasure{Float64, Float64, BAT.Transformed{BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistributionTransform{BAT.StandardMvNormal{Float64}, ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, ValueShapes.ArrayShape{Real, 1}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.TDNoCorr, ValueShapes.ArrayShape{Real, 1}}, BAT.DistMeasure{BAT.StandardMvNormal{Float64}, BAT.HyperRectBounds{Float32}}, ValueShapes.ArrayShape{Real, 1}, BAT.HyperRectBounds{Float32}}, nchains::Int64, init_alg::MCMCChainPoolInit, tuning_alg::AdaptiveMHTuning, nonzero_weights::Bool, callback::Function, context::BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/chain_pool_init.jl:108 [5] bat_sample_impl(target::PosteriorMeasure{Float64, Float64, BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistMeasure{ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, algorithm::MCMCSampling{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PriorToGaussian, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, typeof(BAT.nop_func)}, context::BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/samplers/mcmc/mcmc_sample.jl:51 [6] bat_sample(target::PosteriorMeasure{Float64, Float64, BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistMeasure{ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, algorithm::MCMCSampling{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PriorToGaussian, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, typeof(BAT.nop_func)}, context::BATContext{Float64, Random123.Philox4x{UInt64, 10}, HeterogeneousComputing.CPUnit, BAT._NoADSelected}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/algotypes/sampling_algorithm.jl:46 [7] bat_sample(target::PosteriorMeasure{Float64, Float64, BAT.DensityWithShape{BAT.WrappedNonBATDensity{EFTfitterDensity{EFTfitter.InvCovMatrix{Matrix{Float64}}, EFTfitter.BoundsCheck, EFTfitter.NoModelUncertainties, EFTfitter.NoNuissanceCorrelations, EFTfitter.NoLimits}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}}, BAT.DistMeasure{ValueShapes.NamedTupleDist{(:p1, :p2), Tuple{Uniform{Float64}, Uniform{Float64}}, Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, ValueShapes.NamedTupleShape{(:p1, :p2), Tuple{ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}, ValueShapes.ValueAccessor{ValueShapes.ScalarShape{Real}}}, NamedTuple}, BAT.HyperRectBounds{Float64}}, algorithm::MCMCSampling{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PriorToGaussian, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, typeof(BAT.nop_func)}) @ BAT ~/.julia/packages/BAT/pYfQ6/src/algotypes/sampling_algorithm.jl:55 [8] criterion_value(criterion::SumOfSmallestIntervals{Int64}, model::EFTfitterModel; sampling_algorithm::MCMCSampling{MetropolisHastings{BAT.MvTDistProposal, RepetitionWeighting{Int64}, AdaptiveMHTuning}, PriorToGaussian, MCMCChainPoolInit, MCMCMultiCycleBurnin, BrooksGelmanConvergence, typeof(BAT.nop_func)}) @ EFTfitter ~/.julia/packages/EFTfitter/0ViNh/src/ranking/ranking.jl:256 [9] criterion_value(criterion::SumOfSmallestIntervals{Int64}, model::EFTfitterModel) @ EFTfitter ~/.julia/packages/EFTfitter/0ViNh/src/ranking/ranking.jl:250 [10] top-level scope @ ~/.julia/packages/EFTfitter/0ViNh/test/test_ranking.jl:2 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1833 [inlined] [12] macro expansion @ ~/.julia/packages/EFTfitter/0ViNh/test/test_ranking.jl:77 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1833 [inlined] [14] macro expansion @ ~/.julia/packages/EFTfitter/0ViNh/test/test_ranking.jl:80 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:727 [inlined] [ Info: Begin ranking of measurements [ Info: Begin ranking of uncertainties Test likelihood: Test Failed at /home/pkgeval/.julia/packages/EFTfitter/0ViNh/test/test_likelihood.jl:94 Expression: ≈((logdensityof(posterior_500))(v), -4.916679677894212e11, rtol = 0.005) Evaluated: -4.128603425085703e9 ≈ -4.916679677894212e11 (rtol=0.005) Stacktrace: [1] top-level scope @ ~/.julia/packages/EFTfitter/0ViNh/test/test_likelihood.jl:77 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1833 [inlined] [3] macro expansion @ ~/.julia/packages/EFTfitter/0ViNh/test/test_likelihood.jl:94 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:730 [inlined] Test likelihood: Test Failed at /home/pkgeval/.julia/packages/EFTfitter/0ViNh/test/test_likelihood.jl:100 Expression: ≈((logdensityof(posterior_5000))(v), -3.706920707573017e11, rtol = 0.005) Evaluated: -1.838293692283724e10 ≈ -3.706920707573017e11 (rtol=0.005) Stacktrace: [1] top-level scope @ ~/.julia/packages/EFTfitter/0ViNh/test/test_likelihood.jl:77 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1833 [inlined] [3] macro expansion @ ~/.julia/packages/EFTfitter/0ViNh/test/test_likelihood.jl:100 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:730 [inlined] Test Summary: | Pass Fail Error Total Time Package EFTfitter | 92 2 3 97 6m09.2s Test API datatypes | 21 21 4.5s Test cov_to_cor | 3 3 4.1s Test all_observables_equal | 3 3 6.5s Test BLUE | 3 3 10.1s Test simple inputs | 17 17 7.5s Test inputs with NuisanceCorrelation | 30 30 20.4s Test ranking | 13 3 16 1m38.7s Test model creation | 8 8 0.1s Test criterion_value | 3 3 1m12.4s Test ranking function | 4 4 23.4s Test likelihood | 2 2 4 3m29.0s RNG of the outermost testset: Xoshiro(0xa961dd9fb98a7ec6, 0xa212f9c50c607de2, 0xadaa78d2b8980709, 0xafc621f136a70b45, 0xc25a14a4f8356a7c) ERROR: LoadError: Some tests did not pass: 92 passed, 2 failed, 3 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/EFTfitter/0ViNh/test/runtests.jl:8 Testing failed after 403.59s ERROR: LoadError: Package EFTfitter 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:2421 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2276 [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:498 [5] 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:164 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:152 [7] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:152 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:151 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:309 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:331 [12] _start() @ Base ./client.jl:564 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 765.32s: package tests unexpectedly errored