Package evaluation to test SampleChainsDynamicHMC on Julia 1.14.0-DEV.3055 (7e75a8061a*) started at 2026-08-28T01:14:10.867 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.47s ################################################################################ # Installation # Installing SampleChainsDynamicHMC... Resolving package versions... Installed CompositionsBase ──────────── v0.1.2 Installed DiffResults ───────────────── v1.1.0 Installed MacroTools ────────────────── v0.5.16 Installed ForwardDiff ───────────────── v0.10.39 Installed NameResolution ────────────── v0.1.5 Installed FillArrays ────────────────── v0.13.11 Installed StridedViews ──────────────── v0.5.2 Installed DataStructures ────────────── v0.18.22 Installed Adapt ─────────────────────── v4.7.0 Installed OrderedCollections ────────── v1.8.2 Installed DynamicHMC ────────────────── v3.3.0 Installed Calculus ──────────────────── v0.5.2 Installed ConstructionBase ──────────── v1.6.0 Installed Compat ────────────────────── v4.18.1 Installed JuliaVariables ────────────── v0.2.4 Installed IteratorInterfaceExtensions ─ v1.0.0 Installed StatsBase ─────────────────── v0.33.21 Installed ArraysOfArrays ────────────── v0.5.0 Installed TensorCast ────────────────── v0.4.9 Installed UnsafeArrays ──────────────── v1.0.9 Installed DataAPI ───────────────────── v1.16.0 Installed InitialValues ─────────────── v0.3.1 Installed LazyArrays ────────────────── v0.22.18 Installed Statistics ────────────────── v1.11.1 Installed StatsAPI ──────────────────── v1.8.0 Installed PrecompileTools ───────────── v1.3.4 Installed DataValueInterfaces ───────── v1.0.0 Installed StructArrays ──────────────── v0.6.21 Installed ProgressMeter ─────────────── v1.11.0 Installed ElasticArrays ─────────────── v1.2.12 Installed ArgCheck ──────────────────── v2.5.0 Installed TransmuteDims ─────────────── v0.1.17 Installed CommonSubexpressions ──────── v0.3.1 Installed StaticArrays ──────────────── v1.9.19 Installed ConcreteStructs ───────────── v0.2.8 Installed StaticArraysCore ──────────── v1.4.4 Installed LogDensityProblems ────────── v0.11.5 Installed IrrationalConstants ───────── v0.2.6 Installed PrettyPrint ───────────────── v0.2.0 Installed GPUArraysCore ─────────────── v0.2.0 Installed TupleVectors ──────────────── v0.1.5 Installed BangBang ──────────────────── v0.3.40 Installed ChainRulesCore ────────────── v1.26.1 Installed NaNMath ───────────────────── v1.1.4 Installed DiffRules ─────────────────── v1.16.0 Installed TupleTools ────────────────── v1.6.0 Installed OpenSpecFun_jll ───────────── v0.5.6+0 Installed NestedTuples ──────────────── v0.3.10 Installed TransformVariables ────────── v0.6.4 Installed Requires ──────────────────── v1.3.1 Installed LogExpFunctions ───────────── v0.3.29 Installed ArrayLayouts ──────────────── v0.8.19 Installed MatrixFactorizations ──────── v0.9.6 Installed SpecialFunctions ──────────── v2.9.0 Installed NamedTupleTools ───────────── v0.14.3 Installed IfElse ────────────────────── v0.1.1 Installed Reexport ──────────────────── v1.2.2 Installed InverseFunctions ──────────── v0.1.17 Installed Parameters ────────────────── v0.12.3 Installed Tables ────────────────────── v1.14.0 Installed GeneralizedGenerated ──────── v0.3.3 Installed Setfield ──────────────────── v1.1.2 Installed Missings ──────────────────── v1.2.0 Installed LazyStack ─────────────────── v0.1.3 Installed JLLWrappers ───────────────── v1.8.0 Installed TableTraits ───────────────── v1.0.1 Installed Static ────────────────────── v0.6.6 Installed SortingAlgorithms ─────────── v1.2.3 Installed SampleChainsDynamicHMC ────── v0.3.5 Installed Preferences ───────────────── v1.5.2 Installed ChangesOfVariables ────────── v0.1.11 Installed MCMCDiagnostics ───────────── v0.3.0 Installed MappedArrays ──────────────── v0.4.3 Installed SampleChains ──────────────── v0.5.1 Installed DocStringExtensions ───────── v0.9.5 Installed Measurements ──────────────── v2.14.1 Installed UnPack ────────────────────── v1.0.2 Installed Strided ───────────────────── v2.6.4 Installed MLStyle ───────────────────── v0.4.17 Installed Accessors ─────────────────── v0.1.45 Installing 1 artifacts Installed artifact OpenSpecFun 105.4 KiB Updating `~/.julia/environments/v1.14/Project.toml` [6d9fd711] + SampleChainsDynamicHMC v0.3.5 Updating `~/.julia/environments/v1.14/Manifest.toml` [7d9f7c33] + Accessors v0.1.45 [79e6a3ab] + Adapt v4.7.0 [dce04be8] + ArgCheck v2.5.0 ⌅ [4c555306] + ArrayLayouts v0.8.19 ⌅ [65a8f2f4] + ArraysOfArrays v0.5.0 ⌅ [198e06fe] + BangBang v0.3.40 [49dc2e85] + Calculus v0.5.2 [d360d2e6] + ChainRulesCore v1.26.1 [9e997f8a] + ChangesOfVariables v0.1.11 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.8 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 ⌅ [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [ffbed154] + DocStringExtensions v0.9.5 ⌃ [bbc10e6e] + DynamicHMC v3.3.0 [fdbdab4c] + ElasticArrays v1.2.12 ⌅ [1a297f60] + FillArrays v0.13.11 ⌅ [f6369f11] + ForwardDiff v0.10.39 [46192b85] + GPUArraysCore v0.2.0 [6b9d7cbe] + GeneralizedGenerated v0.3.3 [615f187c] + IfElse v0.1.1 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.8.0 [b14d175d] + JuliaVariables v0.2.4 ⌅ [5078a376] + LazyArrays v0.22.18 [1fad7336] + LazyStack v0.1.3 ⌅ [6fdf6af0] + LogDensityProblems v0.11.5 ⌅ [2ab3a3ac] + LogExpFunctions v0.3.29 ⌅ [6e857e4b] + MCMCDiagnostics v0.3.0 [d8e11817] + MLStyle v0.4.17 [1914dd2f] + MacroTools v0.5.16 [dbb5928d] + MappedArrays v0.4.3 ⌅ [a3b82374] + MatrixFactorizations v0.9.6 [eff96d63] + Measurements v2.14.1 [e1d29d7a] + Missings v1.2.0 [77ba4419] + NaNMath v1.1.4 [71a1bf82] + NameResolution v0.1.5 [d9ec5142] + NamedTupleTools v0.14.3 ⌃ [a734d2a7] + NestedTuples v0.3.10 ⌅ [bac558e1] + OrderedCollections v1.8.2 ⌅ [d96e819e] + Parameters v0.12.3 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [8162dcfd] + PrettyPrint v0.2.0 [92933f4c] + ProgressMeter v1.11.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [754583d1] + SampleChains v0.5.1 [6d9fd711] + SampleChainsDynamicHMC v0.3.5 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.3 [276daf66] + SpecialFunctions v2.9.0 ⌅ [aedffcd0] + Static v0.6.6 [90137ffa] + StaticArrays v1.9.19 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 ⌅ [2913bbd2] + StatsBase v0.33.21 [5e0ebb24] + Strided v2.6.4 [4db3bf67] + StridedViews v0.5.2 ⌅ [09ab397b] + StructArrays v0.6.21 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.14.0 [02d47bb6] + TensorCast v0.4.9 ⌅ [84d833dd] + TransformVariables v0.6.4 [24ddb15e] + TransmuteDims v0.1.17 [9d95972d] + TupleTools v1.6.0 ⌅ [615932cf] + TupleVectors v0.1.5 [3a884ed6] + UnPack v1.0.2 [c4a57d5a] + UnsafeArrays v1.0.9 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [0dad84c5] + ArgTools v1.2.0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.12.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.7+0 [deac9b47] + LibCURL_jll v8.21.0+0 [e37daf67] + LibGit2_jll v1.9.7+0 [29816b5a] + LibSSH2_jll v1.11.104+0 [14a3606d] + MozillaCACerts_jll v2026.8.13 [4536629a] + OpenBLAS_jll v0.3.34+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.8+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.70.0+0 [3f19e933] + p7zip_jll v17.8.2+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` Installation completed after 14.63s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling project... 4.6 s ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. Precompiling package dependencies... Precompiling project... 3.4 s ✓ MacroTools 0.5 s ✓ Reexport 0.7 s ✓ MappedArrays 0.7 s ✓ ConstructionBase 1.8 s ✓ IrrationalConstants 0.5 s ✓ ChangesOfVariables 0.6 s ✓ PrettyPrint 0.5 s ✓ DataValueInterfaces 0.5 s ✓ StatsAPI 1.1 s ✓ Calculus 0.6 s ✓ ArgCheck 0.9 s ✓ TupleTools 0.8 s ✓ Statistics 0.6 s ✓ StaticArraysCore 0.6 s ✓ IfElse 0.6 s ✓ NamedTupleTools 0.7 s ✓ Adapt 0.7 s ✓ DataAPI 22.7 s ✓ MLStyle 1.0 s ✓ InverseFunctions 0.5 s ✓ CompositionsBase 1.4 s ✓ InitialValues 0.5 s ✓ UnPack 1.1 s ✓ OrderedCollections 1.1 s ✓ FunctionWrappers 0.9 s ✓ DocStringExtensions 0.7 s ✓ UnsafeArrays 0.5 s ✓ IteratorInterfaceExtensions 0.7 s ✓ NaNMath 0.8 s ✓ Requires 2.7 s ✓ ProgressMeter 0.9 s ✓ Compat 1.7 s ✓ Preferences 1.3 s ✓ CommonSubexpressions 0.6 s ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 4.5 s ✓ ChangesOfVariables → ChangesOfVariablesTestExt 0.8 s ✓ NameResolution 1.1 s ✓ Measurements 1.5 s ✓ Statistics → SparseArraysExt 0.6 s ✓ DiffResults 1.4 s ✓ Static 1.5 s ✓ Adapt → AdaptSparseArraysExt 0.6 s ✓ ElasticArrays 0.7 s ✓ GPUArraysCore 0.7 s ✓ Missings 1.2 s ✓ InverseFunctions → InverseFunctionsDatesExt 2.0 s ✓ InverseFunctions → InverseFunctionsTestExt 0.6 s ✓ ChangesOfVariables → ChangesOfVariablesInverseFunctionsExt 0.6 s ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 1.1 s ✓ Parameters 1.3 s ✓ LogExpFunctions 0.5 s ✓ TableTraits 1.1 s ✓ ArraysOfArrays 0.6 s ✓ Compat → CompatLinearAlgebraExt 1.4 s ✓ PrecompileTools 1.2 s ✓ JLLWrappers 1.7 s ✓ Setfield 8.4 s ✓ JuliaVariables 2.3 s ✓ FillArrays 3.9 s ✓ Accessors 0.6 s ✓ LogExpFunctions → LogExpFunctionsChangesOfVariablesExt 0.6 s ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 1.9 s ✓ Tables 2.1 s ✓ ChainRulesCore 3.6 s ✓ DataStructures 13.1 s ✓ StaticArrays 6.2 s ✓ StridedViews 4.1 s ✓ ConcreteStructs 1.8 s ✓ OpenSpecFun_jll 9.7 s ✓ ArrayLayouts 1.8 s ✓ Accessors → TestExt 2.0 s ✓ Accessors → LinearAlgebraExt 1.3 s ✓ StructArrays 1.2 s ✓ BangBang 1.6 s ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 0.8 s ✓ LazyStack 2.5 s ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 1.3 s ✓ SortingAlgorithms 11.2 s ✓ GeneralizedGenerated 1.3 s ✓ StaticArrays → StaticArraysStatisticsExt 1.4 s ✓ StaticArrays → StaticArraysChainRulesCoreExt 1.3 s ✓ ConstructionBase → ConstructionBaseStaticArraysExt 1.4 s ✓ Adapt → AdaptStaticArraysExt 1.6 s ✓ Accessors → StaticArraysExt 0.8 s ✓ StridedViews → StridedViewsAdaptExt 23.7 s ✓ Strided 5.4 s ✓ SpecialFunctions 3.4 s ✓ MatrixFactorizations 1.6 s ✓ StructArrays → StructArraysSparseArraysExt 0.6 s ✓ StructArrays → StructArraysLinearAlgebraExt 1.1 s ✓ StructArrays → StructArraysAdaptExt 1.7 s ✓ StructArrays → StructArraysStaticArraysExt 1.3 s ✓ Accessors → StructArraysExt 0.8 s ✓ BangBang → BangBangChainRulesCoreExt 0.7 s ✓ BangBang → BangBangStructArraysExt 1.5 s ✓ BangBang → BangBangStaticArraysExt 5.7 s ✓ StatsBase 5.0 s ✓ NestedTuples 2.1 s ✓ TransmuteDims 3.7 s ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 1.7 s ✓ Measurements → MeasurementsSpecialFunctionsExt 1.2 s ✓ DiffRules WARNING: Constructor for type "MemoryLayout" was extended in `LazyArrays` without explicit qualification or import. NOTE: Assumed "MemoryLayout" refers to `ArrayLayouts.MemoryLayout`. This behavior is deprecated and may differ in future versions. NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function MemoryLayout end`. Hint: To silence the warning, qualify `MemoryLayout` as `ArrayLayouts.MemoryLayout` in the method signature or explicitly `import ArrayLayouts: MemoryLayout`. 6.5 s ✓ LazyArrays 2.9 s ✓ MCMCDiagnostics WARNING: method definition for with at /home/pkgeval/.julia/packages/TupleVectors/bynQc/src/hypercube.jl:32 declares type variable X but does not use it. WARNING: method definition for with at /home/pkgeval/.julia/packages/TupleVectors/bynQc/src/hypercube.jl:32 declares type variable T but does not use it. 6.1 s ✓ TupleVectors 18.8 s ✓ TensorCast 7.5 s ✓ ForwardDiff 7.9 s ✓ SampleChains 2.1 s ✓ ForwardDiff → ForwardDiffStaticArraysExt 3.0 s ✓ TransformVariables 57.2 s ✓ ReverseDiff 2.5 s ✓ LogDensityProblems 16.1 s ✓ DynamicHMC 13.4 s ✓ SampleChainsDynamicHMC 114 dependencies successfully precompiled in 377 seconds. 35 already precompiled. 2 dependencies had output during precompilation: ┌ TupleVectors │ WARNING: method definition for with at /home/pkgeval/.julia/packages/TupleVectors/bynQc/src/hypercube.jl:32 declares type variable X but does not use it. │ WARNING: method definition for with at /home/pkgeval/.julia/packages/TupleVectors/bynQc/src/hypercube.jl:32 declares type variable T but does not use it. └ ┌ LazyArrays │ WARNING: Constructor for type "MemoryLayout" was extended in `LazyArrays` without explicit qualification or import. │ NOTE: Assumed "MemoryLayout" refers to `ArrayLayouts.MemoryLayout`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function MemoryLayout end`. │ Hint: To silence the warning, qualify `MemoryLayout` as `ArrayLayouts.MemoryLayout` in the method signature or explicitly `import ArrayLayouts: MemoryLayout`. └ Precompilation completed after 384.06s ################################################################################ # Testing # Testing SampleChainsDynamicHMC Status `/tmp/jl_FH3nu2/Project.toml` [2569d6c7] ConcreteStructs v0.2.8 ⌃ [bbc10e6e] DynamicHMC v3.3.0 [fdbdab4c] ElasticArrays v1.2.12 ⌅ [6fdf6af0] LogDensityProblems v0.11.5 [dbb5928d] MappedArrays v0.4.3 ⌃ [a734d2a7] NestedTuples v0.3.10 [189a3867] Reexport v1.2.2 [37e2e3b7] ReverseDiff v1.17.0 [754583d1] SampleChains v0.5.1 [6d9fd711] SampleChainsDynamicHMC v0.3.5 ⌅ [09ab397b] StructArrays v0.6.21 ⌅ [84d833dd] TransformVariables v0.6.4 ⌅ [615932cf] TupleVectors v0.1.5 [37e2e46d] LinearAlgebra v1.14.0 [56ddb016] Logging v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_FH3nu2/Manifest.toml` [7d9f7c33] Accessors v0.1.45 [79e6a3ab] Adapt v4.7.0 [dce04be8] ArgCheck v2.5.0 ⌅ [4c555306] ArrayLayouts v0.8.19 ⌅ [65a8f2f4] ArraysOfArrays v0.5.0 ⌅ [198e06fe] BangBang v0.3.40 [49dc2e85] Calculus v0.5.2 [d360d2e6] ChainRulesCore v1.26.1 [9e997f8a] ChangesOfVariables v0.1.11 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.8 [187b0558] ConstructionBase v1.6.0 [9a962f9c] DataAPI v1.16.0 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.16.0 [ffbed154] DocStringExtensions v0.9.5 ⌃ [bbc10e6e] DynamicHMC v3.3.0 [fdbdab4c] ElasticArrays v1.2.12 ⌅ [1a297f60] FillArrays v0.13.11 ⌅ [f6369f11] ForwardDiff v0.10.39 [069b7b12] FunctionWrappers v1.1.3 [46192b85] GPUArraysCore v0.2.0 [6b9d7cbe] GeneralizedGenerated v0.3.3 [615f187c] IfElse v0.1.1 [22cec73e] InitialValues v0.3.1 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.6 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.8.0 [b14d175d] JuliaVariables v0.2.4 ⌅ [5078a376] LazyArrays v0.22.18 [1fad7336] LazyStack v0.1.3 ⌅ [6fdf6af0] LogDensityProblems v0.11.5 ⌅ [2ab3a3ac] LogExpFunctions v0.3.29 ⌅ [6e857e4b] MCMCDiagnostics v0.3.0 [d8e11817] MLStyle v0.4.17 [1914dd2f] MacroTools v0.5.16 [dbb5928d] MappedArrays v0.4.3 ⌅ [a3b82374] MatrixFactorizations v0.9.6 [eff96d63] Measurements v2.14.1 [e1d29d7a] Missings v1.2.0 [77ba4419] NaNMath v1.1.4 [71a1bf82] NameResolution v0.1.5 [d9ec5142] NamedTupleTools v0.14.3 ⌃ [a734d2a7] NestedTuples v0.3.10 ⌅ [bac558e1] OrderedCollections v1.8.2 ⌅ [d96e819e] Parameters v0.12.3 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [8162dcfd] PrettyPrint v0.2.0 [92933f4c] ProgressMeter v1.11.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [37e2e3b7] ReverseDiff v1.17.0 [754583d1] SampleChains v0.5.1 [6d9fd711] SampleChainsDynamicHMC v0.3.5 [efcf1570] Setfield v1.1.2 [a2af1166] SortingAlgorithms v1.2.3 [276daf66] SpecialFunctions v2.9.0 ⌅ [aedffcd0] Static v0.6.6 [90137ffa] StaticArrays v1.9.19 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 ⌅ [2913bbd2] StatsBase v0.33.21 [5e0ebb24] Strided v2.6.4 [4db3bf67] StridedViews v0.5.2 ⌅ [09ab397b] StructArrays v0.6.21 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.14.0 [02d47bb6] TensorCast v0.4.9 ⌅ [84d833dd] TransformVariables v0.6.4 [24ddb15e] TransmuteDims v0.1.17 [9d95972d] TupleTools v1.6.0 ⌅ [615932cf] TupleVectors v0.1.5 [3a884ed6] UnPack v1.0.2 [c4a57d5a] UnsafeArrays v1.0.9 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [0dad84c5] ArgTools v1.2.0 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.12.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.14.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.5.7+0 [deac9b47] LibCURL_jll v8.21.0+0 [e37daf67] LibGit2_jll v1.9.7+0 [29816b5a] LibSSH2_jll v1.11.104+0 [14a3606d] MozillaCACerts_jll v2026.8.13 [4536629a] OpenBLAS_jll v0.3.34+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.8+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.70.0+0 [3f19e933] p7zip_jll v17.8.2+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... single chain: Error During Test at /home/pkgeval/.julia/packages/SampleChainsDynamicHMC/F1tdl/test/notebook.jl:15 Got exception outside of a @test MethodError: no method matching reducedim1(::Matrix{Float64}, ::Matrix{Float64}) The function `reducedim1` exists, but no method is defined for this combination of argument types. Closest candidates are: reducedim1(::Any) @ Base reducedim.jl:1229 Stacktrace: [1] centralize_sumabs2!(R::Matrix{Float64}, A::Matrix{Float64}, means::Matrix{Float64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Matrix{Float64}, A::Matrix{Float64}, m::Matrix{Float64}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::Matrix{Float64}, m::Matrix{Float64}, corrected::Bool, region::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [4] varm(A::Matrix{Float64}, m::Matrix{Float64}; corrected::Bool, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [5] _var(A::Matrix{Float64}, corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::Matrix{Float64}; corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] sample_M⁻¹(::Core.TypeEgal{LinearAlgebra.Diagonal}, posterior_matrix::Matrix{Float64}) @ DynamicHMC ~/.julia/packages/DynamicHMC/x07K9/src/mcmc.jl:196 [inlined] [8] warmup(sampling_logdensity::DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}, tuning::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Float64}) @ DynamicHMC ~/.julia/packages/DynamicHMC/x07K9/src/mcmc.jl:255 [9] (::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}})(acc::Tuple{Tuple{@NamedTuple{stage::InitialStepsizeSearch, results::Nothing, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Float64}}, @NamedTuple{stage::TuningNUTS{Nothing, DualAveraging{Float64}}, results::@NamedTuple{posterior_matrix::Matrix{Float64}, tree_statistics::Vector{DynamicHMC.TreeStatisticsNUTS}, ϵs::Vector{Float64}}, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Float64}}}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Float64}}, stage::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}) @ DynamicHMC ~/.julia/packages/DynamicHMC/x07K9/src/mcmc.jl:422 [inlined] [10] (::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}}})(acc::Tuple{Tuple{@NamedTuple{stage::InitialStepsizeSearch, results::Nothing, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Float64}}, @NamedTuple{stage::TuningNUTS{Nothing, DualAveraging{Float64}}, results::@NamedTuple{posterior_matrix::Matrix{Float64}, tree_statistics::Vector{DynamicHMC.TreeStatisticsNUTS}, ϵs::Vector{Float64}}, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Float64}}}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Float64}}, x::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}) @ Base reduce.jl:84 [inlined] [11] afoldl(::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}}}, ::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Nothing}}, ::InitialStepsizeSearch, ::TuningNUTS{Nothing, DualAveraging{Float64}}, ::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, ::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, ::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, ::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, ::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, ::TuningNUTS{Nothing, DualAveraging{Float64}}) @ Base operators.jl:627 [12] _foldl_impl(op::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}}}, init::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Nothing}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}) @ Base reduce.jl:66 [inlined] [13] foldl_impl(op::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}}}, nt::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Nothing}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}) @ Base reduce.jl:46 [inlined] [14] mapfoldl_impl(f::typeof(identity), op::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}}, nt::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Nothing}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}) @ Base reduce.jl:42 [inlined] [15] mapfoldl(f::typeof(identity), op::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}; init::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Nothing}}) @ Base reduce.jl:173 [inlined] [16] foldl(op::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}; kw::@Kwargs{init::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Nothing}}}) @ Base reduce.jl:196 [inlined] [17] _warmup(sampling_logdensity::DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}, stages::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, initial_warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Nothing}) @ DynamicHMC ~/.julia/packages/DynamicHMC/x07K9/src/mcmc.jl:420 [inlined] [18] mcmc_keep_warmup(rng::Random.TaskLocalRNG, ℓ::LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, N::Int64; initialization::Tuple{}, warmup_stages::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, algorithm::DynamicHMC.NUTS{Val{:generalized}}, reporter::NoProgressReport) @ DynamicHMC ~/.julia/packages/DynamicHMC/x07K9/src/mcmc.jl:497 [inlined] [19] newchain(rng::Random.TaskLocalRNG, config::SampleChainsDynamicHMC.DynamicHMCConfig{Tuple{}, Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport, Val{:ForwardDiff}}, ℓ::Function, tr::TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}) @ SampleChainsDynamicHMC ~/.julia/packages/SampleChainsDynamicHMC/F1tdl/src/SampleChainsDynamicHMC.jl:133 [20] newchain(config::SampleChainsDynamicHMC.DynamicHMCConfig{Tuple{}, Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport, Val{:ForwardDiff}}, ℓ::Function, tr::TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}) @ SampleChainsDynamicHMC ~/.julia/packages/SampleChainsDynamicHMC/F1tdl/src/SampleChainsDynamicHMC.jl:151 [21] top-level scope @ ~/.julia/packages/SampleChainsDynamicHMC/F1tdl/test/notebook.jl:16 [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [23] macro expansion @ ~/.julia/packages/SampleChainsDynamicHMC/F1tdl/test/notebook.jl:16 [inlined] multichain: Error During Test at /home/pkgeval/.julia/packages/SampleChainsDynamicHMC/F1tdl/test/notebook.jl:27 Got exception outside of a @test MethodError: no method matching reducedim1(::Matrix{Float64}, ::Matrix{Float64}) The function `reducedim1` exists, but no method is defined for this combination of argument types. Closest candidates are: reducedim1(::Any) @ Base reducedim.jl:1229 Stacktrace: [1] centralize_sumabs2!(R::Matrix{Float64}, A::Matrix{Float64}, means::Matrix{Float64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Matrix{Float64}, A::Matrix{Float64}, m::Matrix{Float64}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::Matrix{Float64}, m::Matrix{Float64}, corrected::Bool, region::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [4] varm(A::Matrix{Float64}, m::Matrix{Float64}; corrected::Bool, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [5] _var(A::Matrix{Float64}, corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::Matrix{Float64}; corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] sample_M⁻¹(::Core.TypeEgal{LinearAlgebra.Diagonal}, posterior_matrix::Matrix{Float64}) @ DynamicHMC ~/.julia/packages/DynamicHMC/x07K9/src/mcmc.jl:196 [inlined] [8] warmup(sampling_logdensity::DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}, tuning::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Float64}) @ DynamicHMC ~/.julia/packages/DynamicHMC/x07K9/src/mcmc.jl:255 [9] (::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}})(acc::Tuple{Tuple{@NamedTuple{stage::InitialStepsizeSearch, results::Nothing, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Float64}}, @NamedTuple{stage::TuningNUTS{Nothing, DualAveraging{Float64}}, results::@NamedTuple{posterior_matrix::Matrix{Float64}, tree_statistics::Vector{DynamicHMC.TreeStatisticsNUTS}, ϵs::Vector{Float64}}, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Float64}}}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Float64}}, stage::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}) @ DynamicHMC ~/.julia/packages/DynamicHMC/x07K9/src/mcmc.jl:422 [inlined] [10] (::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}}})(acc::Tuple{Tuple{@NamedTuple{stage::InitialStepsizeSearch, results::Nothing, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Float64}}, @NamedTuple{stage::TuningNUTS{Nothing, DualAveraging{Float64}}, results::@NamedTuple{posterior_matrix::Matrix{Float64}, tree_statistics::Vector{DynamicHMC.TreeStatisticsNUTS}, ϵs::Vector{Float64}}, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Float64}}}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Float64}}, x::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}) @ Base reduce.jl:84 [inlined] [11] afoldl(::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}}}, ::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Nothing}}, ::InitialStepsizeSearch, ::TuningNUTS{Nothing, DualAveraging{Float64}}, ::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, ::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, ::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, ::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, ::TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, ::TuningNUTS{Nothing, DualAveraging{Float64}}) @ Base operators.jl:627 [12] _foldl_impl(op::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}}}, init::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Nothing}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}) @ Base reduce.jl:66 [inlined] [13] foldl_impl(op::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}}}, nt::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Nothing}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}) @ Base reduce.jl:46 [inlined] [14] mapfoldl_impl(f::typeof(identity), op::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}}, nt::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Nothing}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}) @ Base reduce.jl:42 [inlined] [15] mapfoldl(f::typeof(identity), op::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}; init::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Nothing}}) @ Base reduce.jl:173 [inlined] [16] foldl(op::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}; kw::@Kwargs{init::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Nothing}}}) @ Base reduce.jl:196 [inlined] [17] _warmup(sampling_logdensity::DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport}, stages::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, initial_warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{LinearAlgebra.Diagonal{Float64, Vector{Float64}}, LinearAlgebra.Diagonal{Float64, Vector{Float64}}}, Nothing}) @ DynamicHMC ~/.julia/packages/DynamicHMC/x07K9/src/mcmc.jl:420 [inlined] [18] mcmc_keep_warmup(rng::Random.TaskLocalRNG, ℓ::LogDensityProblems.ForwardDiffLogDensity{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{LogDensityProblems.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, N::Int64; initialization::Tuple{}, warmup_stages::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, algorithm::DynamicHMC.NUTS{Val{:generalized}}, reporter::NoProgressReport) @ DynamicHMC ~/.julia/packages/DynamicHMC/x07K9/src/mcmc.jl:497 [inlined] [19] newchain(rng::Random.TaskLocalRNG, config::SampleChainsDynamicHMC.DynamicHMCConfig{Tuple{}, Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport, Val{:ForwardDiff}}, ℓ::Function, tr::TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}) @ SampleChainsDynamicHMC ~/.julia/packages/SampleChainsDynamicHMC/F1tdl/src/SampleChainsDynamicHMC.jl:133 [20] newchain(::Random.TaskLocalRNG, ::Int64, ::SampleChainsDynamicHMC.DynamicHMCConfig{Tuple{}, Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport, Val{:ForwardDiff}}, ::Function, ::TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}) @ SampleChains ~/.julia/packages/SampleChains/xsXC8/src/multichain.jl:36 [inlined] [21] newchain(::Int64, ::SampleChainsDynamicHMC.DynamicHMCConfig{Tuple{}, Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{LinearAlgebra.Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, DynamicHMC.NUTS{Val{:generalized}}, NoProgressReport, Val{:ForwardDiff}}, ::Function, ::TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}) @ SampleChains ~/.julia/packages/SampleChains/xsXC8/src/multichain.jl:42 [22] top-level scope @ ~/.julia/packages/SampleChainsDynamicHMC/F1tdl/test/notebook.jl:28 [23] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [24] macro expansion @ ~/.julia/packages/SampleChainsDynamicHMC/F1tdl/test/notebook.jl:28 [inlined] ┌ Info: found initial stepsize └ ϵ = 0.625 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 7.0e-5 │ estimated_seconds_left = 0.0052 └ ϵ = 0.625 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and Symmetric metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 5.8e-5 │ estimated_seconds_left = 0.0014 └ ϵ = 0.247 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Symmetric), √diag(M⁻¹): [0.47150958344359706, 0.5762425776589016] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and Symmetric metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00019 │ estimated_seconds_left = 0.0093 └ ϵ = 0.248 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Symmetric), √diag(M⁻¹): [1.1425959275967583, 0.9656539164849621] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and Symmetric metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 2.7e-5 │ estimated_seconds_left = 0.0027 └ ϵ = 0.445 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Symmetric), √diag(M⁻¹): [0.8519816691731618, 0.7645088426350352] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and Symmetric metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00011 │ estimated_seconds_left = 0.022 └ ϵ = 0.185 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00031 │ estimated_seconds_left = 0.031 └ ϵ = 0.0191 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Symmetric), √diag(M⁻¹): [0.9326001236311641, 1.150744434447243] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and Symmetric metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 9.6e-5 │ estimated_seconds_left = 0.038 └ ϵ = 0.217 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00034 │ estimated_seconds_left = 0.1 └ ϵ = 0.484 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0002 │ estimated_seconds_left = 0.041 └ ϵ = 0.341 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00023 │ estimated_seconds_left = 0.022 └ ϵ = 0.0841 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Symmetric), √diag(M⁻¹): [0.8949327013163568, 0.9651822698626519] ┌ Info: Starting MCMC │ total_steps = 800 └ tuning = "stepsize and Symmetric metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 5.4e-5 │ estimated_seconds_left = 0.043 └ ϵ = 0.209 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00028 │ estimated_seconds_left = 0.2 └ ϵ = 0.122 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00028 │ estimated_seconds_left = 0.17 └ ϵ = 0.178 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00022 │ estimated_seconds_left = 0.11 └ ϵ = 0.136 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00023 │ estimated_seconds_left = 0.091 └ ϵ = 0.232 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00021 │ estimated_seconds_left = 0.064 └ ϵ = 0.313 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00018 │ estimated_seconds_left = 0.036 └ ϵ = 0.368 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00018 │ estimated_seconds_left = 0.018 └ ϵ = 0.245 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Symmetric), √diag(M⁻¹): [0.829124833253087, 0.919742678974939] ┌ Info: Starting MCMC │ total_steps = 1600 └ tuning = "stepsize and Symmetric metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00017 │ estimated_seconds_left = 0.27 └ ϵ = 0.204 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00096 │ estimated_seconds_left = 1.4 └ ϵ = 0.431 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00022 │ estimated_seconds_left = 0.31 └ ϵ = 0.397 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00026 │ estimated_seconds_left = 0.33 └ ϵ = 0.272 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00022 │ estimated_seconds_left = 0.26 └ ϵ = 0.22 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0018 │ estimated_seconds_left = 2.0 └ ϵ = 0.281 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00015 │ estimated_seconds_left = 0.15 └ ϵ = 0.223 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0002 │ estimated_seconds_left = 0.18 └ ϵ = 0.501 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00013 │ estimated_seconds_left = 0.11 └ ϵ = 0.393 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00016 │ estimated_seconds_left = 0.11 └ ϵ = 0.435 ┌ Info: MCMC progress │ step = 1001 │ seconds_per_step = 0.00015 │ estimated_seconds_left = 0.089 └ ϵ = 0.41 ┌ Info: MCMC progress │ step = 1101 │ seconds_per_step = 0.00014 │ estimated_seconds_left = 0.067 └ ϵ = 0.184 ┌ Info: MCMC progress │ step = 1201 │ seconds_per_step = 0.00015 │ estimated_seconds_left = 0.059 └ ϵ = 0.362 ┌ Info: MCMC progress │ step = 1301 │ seconds_per_step = 0.00015 │ estimated_seconds_left = 0.044 └ ϵ = 0.0943 ┌ Info: MCMC progress │ step = 1401 │ seconds_per_step = 0.00029 │ estimated_seconds_left = 0.058 └ ϵ = 0.245 ┌ Info: MCMC progress │ step = 1501 │ seconds_per_step = 0.00016 │ estimated_seconds_left = 0.016 └ ϵ = 0.411 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Symmetric), √diag(M⁻¹): [1.0067189471004112, 0.9081007909707005] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 8.6e-5 │ estimated_seconds_left = 0.0042 └ ϵ = 0.282 ┌ Info: Starting MCMC └ total_steps = 0 ┌ Info: Starting MCMC └ total_steps = 9 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.029 └ estimated_seconds_left = 0.23 ┌ Info: Starting MCMC └ total_steps = 90 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 5.2e-5 └ estimated_seconds_left = 0.0046 reporting: Error During Test at /home/pkgeval/.julia/packages/SampleChainsDynamicHMC/F1tdl/test/notebook.jl:70 Got exception outside of a @test MethodError: no method matching reducedim1(::Matrix{Float64}, ::Matrix{Float64}) The function `reducedim1` exists, but no method is defined for this combination of argument types. Closest candidates are: reducedim1(::Any) @ Base reducedim.jl:1229 Stacktrace: [1] centralize_sumabs2!(R::Matrix{Float64}, A::Matrix{Float64}, means::Matrix{Float64}) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:282 [2] varm!(R::Matrix{Float64}, A::Matrix{Float64}, m::Matrix{Float64}; corrected::Bool) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:309 [3] _varm(A::Matrix{Float64}, m::Matrix{Float64}, corrected::Bool, region::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:341 [4] varm(A::Matrix{Float64}, m::Matrix{Float64}; corrected::Bool, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:339 [inlined] [5] _var(A::Matrix{Float64}, corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:386 [inlined] [6] var(A::Matrix{Float64}; corrected::Bool, mean::Nothing, dims::Int64) @ Statistics ~/.julia/packages/Statistics/gbcbG/src/Statistics.jl:380 [inlined] [7] sample_M⁻¹(::Core.TypeEgal{Diagonal}, posterior_matrix::Matrix{Float64}) @ DynamicHMC ~/.julia/packages/DynamicHMC/x07K9/src/mcmc.jl:196 [inlined] [8] warmup(sampling_logdensity::DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, LogProgressReport{Nothing}}, tuning::TuningNUTS{Diagonal, DualAveraging{Float64}}, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{Diagonal{Float64, Vector{Float64}}, Diagonal{Float64, Vector{Float64}}}, Float64}) @ DynamicHMC ~/.julia/packages/DynamicHMC/x07K9/src/mcmc.jl:255 [9] (::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, LogProgressReport{Nothing}}})(acc::Tuple{Tuple{@NamedTuple{stage::InitialStepsizeSearch, results::Nothing, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{Diagonal{Float64, Vector{Float64}}, Diagonal{Float64, Vector{Float64}}}, Float64}}, @NamedTuple{stage::TuningNUTS{Nothing, DualAveraging{Float64}}, results::@NamedTuple{posterior_matrix::Matrix{Float64}, tree_statistics::Vector{DynamicHMC.TreeStatisticsNUTS}, ϵs::Vector{Float64}}, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{Diagonal{Float64, Vector{Float64}}, Diagonal{Float64, Vector{Float64}}}, Float64}}}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{Diagonal{Float64, Vector{Float64}}, Diagonal{Float64, Vector{Float64}}}, Float64}}, stage::TuningNUTS{Diagonal, DualAveraging{Float64}}) @ DynamicHMC ~/.julia/packages/DynamicHMC/x07K9/src/mcmc.jl:422 [inlined] [10] (::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, LogProgressReport{Nothing}}}})(acc::Tuple{Tuple{@NamedTuple{stage::InitialStepsizeSearch, results::Nothing, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{Diagonal{Float64, Vector{Float64}}, Diagonal{Float64, Vector{Float64}}}, Float64}}, @NamedTuple{stage::TuningNUTS{Nothing, DualAveraging{Float64}}, results::@NamedTuple{posterior_matrix::Matrix{Float64}, tree_statistics::Vector{DynamicHMC.TreeStatisticsNUTS}, ϵs::Vector{Float64}}, warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{Diagonal{Float64, Vector{Float64}}, Diagonal{Float64, Vector{Float64}}}, Float64}}}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{Diagonal{Float64, Vector{Float64}}, Diagonal{Float64, Vector{Float64}}}, Float64}}, x::TuningNUTS{Diagonal, DualAveraging{Float64}}) @ Base reduce.jl:84 [inlined] [11] afoldl(::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, LogProgressReport{Nothing}}}}, ::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{Diagonal{Float64, Vector{Float64}}, Diagonal{Float64, Vector{Float64}}}, Nothing}}, ::InitialStepsizeSearch, ::TuningNUTS{Nothing, DualAveraging{Float64}}, ::TuningNUTS{Diagonal, DualAveraging{Float64}}, ::TuningNUTS{Diagonal, DualAveraging{Float64}}, ::TuningNUTS{Diagonal, DualAveraging{Float64}}, ::TuningNUTS{Diagonal, DualAveraging{Float64}}, ::TuningNUTS{Diagonal, DualAveraging{Float64}}, ::TuningNUTS{Nothing, DualAveraging{Float64}}) @ Base operators.jl:627 [12] _foldl_impl(op::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, LogProgressReport{Nothing}}}}, init::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{Diagonal{Float64, Vector{Float64}}, Diagonal{Float64, Vector{Float64}}}, Nothing}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}) @ Base reduce.jl:66 [inlined] [13] foldl_impl(op::Base.BottomRF{DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, LogProgressReport{Nothing}}}}, nt::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{Diagonal{Float64, Vector{Float64}}, Diagonal{Float64, Vector{Float64}}}, Nothing}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}) @ Base reduce.jl:46 [inlined] [14] mapfoldl_impl(f::typeof(identity), op::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, LogProgressReport{Nothing}}}, nt::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{Diagonal{Float64, Vector{Float64}}, Diagonal{Float64, Vector{Float64}}}, Nothing}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}) @ Base reduce.jl:42 [inlined] [15] mapfoldl(f::typeof(identity), op::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, LogProgressReport{Nothing}}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}; init::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{Diagonal{Float64, Vector{Float64}}, Diagonal{Float64, Vector{Float64}}}, Nothing}}) @ Base reduce.jl:173 [inlined] [16] foldl(op::DynamicHMC.var"#_warmup##0#_warmup##1"{DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, LogProgressReport{Nothing}}}, itr::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}; kw::@Kwargs{init::Tuple{Tuple{}, DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{Diagonal{Float64, Vector{Float64}}, Diagonal{Float64, Vector{Float64}}}, Nothing}}}) @ Base reduce.jl:196 [inlined] [17] _warmup(sampling_logdensity::DynamicHMC.SamplingLogDensity{Random.TaskLocalRNG, LogDensityProblems.ForwardDiffLogDensity{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, DynamicHMC.NUTS{Val{:generalized}}, LogProgressReport{Nothing}}, stages::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, initial_warmup_state::DynamicHMC.WarmupState{DynamicHMC.EvaluatedLogDensity{Vector{Float64}, Float64}, GaussianKineticEnergy{Diagonal{Float64, Vector{Float64}}, Diagonal{Float64, Vector{Float64}}}, Nothing}) @ DynamicHMC ~/.julia/packages/DynamicHMC/x07K9/src/mcmc.jl:420 [inlined] [18] mcmc_keep_warmup(rng::Random.TaskLocalRNG, ℓ::LogDensityProblems.ForwardDiffLogDensity{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}, ForwardDiff.GradientConfig{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2, Vector{ForwardDiff.Dual{ForwardDiff.Tag{LogDensityProblems.var"#_logdensity_closure##0#_logdensity_closure##1"{TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}, typeof(ℓ)}}, Float64}, Float64, 2}}}}, N::Int64; initialization::Tuple{}, warmup_stages::Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, algorithm::DynamicHMC.NUTS{Val{:generalized}}, reporter::LogProgressReport{Nothing}) @ DynamicHMC ~/.julia/packages/DynamicHMC/x07K9/src/mcmc.jl:497 [inlined] [19] newchain(rng::Random.TaskLocalRNG, config::SampleChainsDynamicHMC.DynamicHMCConfig{Tuple{}, Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, DynamicHMC.NUTS{Val{:generalized}}, LogProgressReport{Nothing}, Val{:ForwardDiff}}, ℓ::Function, tr::TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}) @ SampleChainsDynamicHMC ~/.julia/packages/SampleChainsDynamicHMC/F1tdl/src/SampleChainsDynamicHMC.jl:133 [20] newchain(config::SampleChainsDynamicHMC.DynamicHMCConfig{Tuple{}, Tuple{InitialStepsizeSearch, TuningNUTS{Nothing, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Diagonal, DualAveraging{Float64}}, TuningNUTS{Nothing, DualAveraging{Float64}}}, DynamicHMC.NUTS{Val{:generalized}}, LogProgressReport{Nothing}, Val{:ForwardDiff}}, ℓ::Function, tr::TransformVariables.TransformTuple{@NamedTuple{x::TransformVariables.Identity, σ::TransformVariables.ShiftedExp{true, Int64}}}) @ SampleChainsDynamicHMC ~/.julia/packages/SampleChainsDynamicHMC/F1tdl/src/SampleChainsDynamicHMC.jl:151 [21] (::var"#12#13")() @ Main ~/.julia/packages/SampleChainsDynamicHMC/F1tdl/test/notebook.jl:73 [22] with_logstate(f::var"#12#13", logstate::Base.CoreLogging.LogState) @ Base.CoreLogging logging/logging.jl:542 [23] with_logger(f::Function, logger::SimpleLogger) @ Base.CoreLogging logging/logging.jl:653 [24] top-level scope @ ~/.julia/packages/SampleChainsDynamicHMC/F1tdl/test/notebook.jl:71 [25] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2247 [inlined] [26] macro expansion @ ~/.julia/packages/SampleChainsDynamicHMC/F1tdl/test/notebook.jl:72 [inlined] Test Summary: | Pass Error Total Time SampleChainsDynamicHMC.jl | 5 3 8 1m13.7s single chain | 1 1 27.6s multichain | 1 1 0.4s config options | 5 5 19.6s reporting | 1 1 3.9s RNG of the outermost testset: Random.Xoshiro(0xd66fa400dac191a5, 0x5253fb9c73e26088, 0x3ff0452c6b61fbce, 0x45185de916190e16, 0xf0c78213ea0200dd) ERROR: LoadError: Some tests did not pass: 5 passed, 0 failed, 3 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/SampleChainsDynamicHMC/F1tdl/test/runtests.jl:4 Testing failed after 102.22s ERROR: LoadError: Package SampleChainsDynamicHMC errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3283 [3] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:587 [4] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [5] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [6] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [7] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 579.29s: package tests unexpectedly errored