Package evaluation of ThermodynamicIntegration on Julia 1.10.9 (96dc2d8c45*) started at 2025-06-06T18:23:42.750


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# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 5.31s


################################################################################
# Installation
#

Installing ThermodynamicIntegration...
   Resolving package versions...
    Updating `~/.julia/environments/v1.10/Project.toml`
  [1022446e] + ThermodynamicIntegration v0.2.8
    Updating `~/.julia/environments/v1.10/Manifest.toml`
  [80f14c24] + AbstractMCMC v5.6.2
  [1520ce14] + AbstractTrees v0.4.5
  [7d9f7c33] + Accessors v0.1.42
⌅ [0bf59076] + AdvancedHMC v0.6.4
  [66dad0bd] + AliasTables v1.1.3
  [dce04be8] + ArgCheck v2.5.0
  [198e06fe] + BangBang v0.4.4
  [9718e550] + Baselet v0.1.1
  [bbf7d656] + CommonSubexpressions v0.3.1
  [34da2185] + Compat v4.16.0
  [a33af91c] + CompositionsBase v0.1.2
  [88cd18e8] + ConsoleProgressMonitor v0.1.2
  [187b0558] + ConstructionBase v1.5.8
  [9a962f9c] + DataAPI v1.16.0
  [864edb3b] + DataStructures v0.18.22
  [e2d170a0] + DataValueInterfaces v1.0.0
  [244e2a9f] + DefineSingletons v0.1.2
  [163ba53b] + DiffResults v1.1.0
  [b552c78f] + DiffRules v1.15.1
  [ffbed154] + DocStringExtensions v0.9.4
  [1a297f60] + FillArrays v1.13.0
⌅ [f6369f11] + ForwardDiff v0.10.38
  [34004b35] + HypergeometricFunctions v0.3.28
  [22cec73e] + InitialValues v0.3.1
  [505f98c9] + InplaceOps v0.3.0
  [3587e190] + InverseFunctions v0.1.17
  [92d709cd] + IrrationalConstants v0.2.4
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [692b3bcd] + JLLWrappers v1.7.0
  [1d6d02ad] + LeftChildRightSiblingTrees v0.2.0
  [6fdf6af0] + LogDensityProblems v2.1.2
  [996a588d] + LogDensityProblemsAD v1.13.0
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [e6f89c97] + LoggingExtras v1.1.0
  [1914dd2f] + MacroTools v0.5.16
  [128add7d] + MicroCollections v0.2.0
  [e1d29d7a] + Missings v1.2.0
  [77ba4419] + NaNMath v1.1.3
  [bac558e1] + OrderedCollections v1.8.1
  [21216c6a] + Preferences v1.4.3
  [33c8b6b6] + ProgressLogging v0.1.4
  [92933f4c] + ProgressMeter v1.10.4
  [43287f4e] + PtrArrays v1.3.0
  [189a3867] + Reexport v1.2.2
  [ae029012] + Requires v1.3.1
  [79098fc4] + Rmath v0.8.0
  [efcf1570] + Setfield v1.1.2
  [ce78b400] + SimpleUnPack v1.1.0
  [a2af1166] + SortingAlgorithms v1.2.1
  [276daf66] + SpecialFunctions v2.5.1
  [171d559e] + SplittablesBase v0.1.15
  [1e83bf80] + StaticArraysCore v1.4.3
  [82ae8749] + StatsAPI v1.7.1
  [2913bbd2] + StatsBase v0.34.5
  [4c63d2b9] + StatsFuns v1.5.0
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.12.1
  [5d786b92] + TerminalLoggers v0.1.7
  [1022446e] + ThermodynamicIntegration v0.2.8
  [28d57a85] + Transducers v0.4.84
  [592b5752] + Trapz v2.0.3
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
  [f50d1b31] + Rmath_jll v0.5.1+0
  [56f22d72] + Artifacts
  [2a0f44e3] + Base64
  [ade2ca70] + Dates
  [8ba89e20] + Distributed
  [9fa8497b] + Future
  [b77e0a4c] + InteractiveUtils
  [8f399da3] + Libdl
  [37e2e46d] + LinearAlgebra
  [56ddb016] + Logging
  [d6f4376e] + Markdown
  [de0858da] + Printf
  [9a3f8284] + Random
  [ea8e919c] + SHA v0.7.0
  [9e88b42a] + Serialization
  [6462fe0b] + Sockets
  [2f01184e] + SparseArrays v1.10.0
  [10745b16] + Statistics v1.10.0
  [fa267f1f] + TOML v1.0.3
  [8dfed614] + Test
  [cf7118a7] + UUIDs
  [4ec0a83e] + Unicode
  [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0
  [4536629a] + OpenBLAS_jll v0.3.23+4
  [05823500] + OpenLibm_jll v0.8.5+0
  [bea87d4a] + SuiteSparse_jll v7.2.1+1
  [8e850b90] + libblastrampoline_jll v5.11.0+0
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`

Installation completed after 9.25s


################################################################################
# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 471.44s


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# Testing
#

     Testing ThermodynamicIntegration
      Status `/tmp/jl_Pd1jqr/Project.toml`
  [31c24e10] Distributions v0.25.120
⌅ [f6369f11] ForwardDiff v0.10.38
  [37e2e3b7] ReverseDiff v1.16.1
  [1022446e] ThermodynamicIntegration v0.2.8
  [fce5fe82] Turing v0.39.0
⌃ [e88e6eb3] Zygote v0.6.77
  [8ba89e20] Distributed
  [37e2e46d] LinearAlgebra
  [8dfed614] Test
      Status `/tmp/jl_Pd1jqr/Manifest.toml`
  [47edcb42] ADTypes v1.14.0
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  [7d9f7c33] Accessors v0.1.42
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⌅ [0bf59076] AdvancedHMC v0.6.4
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  [38540f10] CommonSolve v0.2.4
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⌅ [a0c0ee7d] DifferentiationInterface v0.6.54
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⌅ [f6369f11] ForwardDiff v0.10.38
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  [505f98c9] InplaceOps v0.3.0
⌅ [a98d9a8b] Interpolations v0.15.1
  [8197267c] IntervalSets v0.7.11
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⌅ [6f1fad26] Libtask v0.8.8
  [d3d80556] LineSearches v7.3.0
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  [e6f89c97] LoggingExtras v1.1.0
⌃ [c7f686f2] MCMCChains v6.0.7
  [be115224] MCMCDiagnosticTools v0.3.14
  [e80e1ace] MLJModelInterface v1.11.1
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  [7f7a1694] Optimization v4.3.0
⌃ [bca83a33] OptimizationBase v2.7.0
  [36348300] OptimizationOptimJL v0.4.3
  [bac558e1] OrderedCollections v1.8.1
  [90014a1f] PDMats v0.11.35
  [d96e819e] Parameters v0.12.3
  [69de0a69] Parsers v2.8.3
  [85a6dd25] PositiveFactorizations v0.2.4
⌅ [aea7be01] PrecompileTools v1.2.1
  [21216c6a] Preferences v1.4.3
  [08abe8d2] PrettyTables v2.4.0
  [33c8b6b6] ProgressLogging v0.1.4
  [92933f4c] ProgressMeter v1.10.4
  [43287f4e] PtrArrays v1.3.0
  [1fd47b50] QuadGK v2.11.2
  [74087812] Random123 v1.7.1
  [e6cf234a] RandomNumbers v1.6.0
  [b3c3ace0] RangeArrays v0.3.2
  [c84ed2f1] Ratios v0.4.5
  [c1ae055f] RealDot v0.1.0
  [3cdcf5f2] RecipesBase v1.3.4
  [731186ca] RecursiveArrayTools v3.33.0
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.1
  [37e2e3b7] ReverseDiff v1.16.1
  [79098fc4] Rmath v0.8.0
  [f2b01f46] Roots v2.2.7
  [7e49a35a] RuntimeGeneratedFunctions v0.5.15
  [26aad666] SSMProblems v0.5.0
  [0bca4576] SciMLBase v2.97.0
  [c0aeaf25] SciMLOperators v1.3.1
  [53ae85a6] SciMLStructures v1.7.0
  [30f210dd] ScientificTypesBase v3.0.0
  [7e506255] ScopedValues v1.3.0
  [efcf1570] Setfield v1.1.2
  [ce78b400] SimpleUnPack v1.1.0
  [a2af1166] SortingAlgorithms v1.2.1
  [9f842d2f] SparseConnectivityTracer v0.6.19
  [dc90abb0] SparseInverseSubset v0.1.2
  [0a514795] SparseMatrixColorings v0.4.20
  [276daf66] SpecialFunctions v2.5.1
  [171d559e] SplittablesBase v0.1.15
  [90137ffa] StaticArrays v1.9.13
  [1e83bf80] StaticArraysCore v1.4.3
  [64bff920] StatisticalTraits v3.4.0
  [82ae8749] StatsAPI v1.7.1
  [2913bbd2] StatsBase v0.34.5
  [4c63d2b9] StatsFuns v1.5.0
  [892a3eda] StringManipulation v0.4.1
  [09ab397b] StructArrays v0.7.1
  [2efcf032] SymbolicIndexingInterface v0.3.40
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.1
  [5d786b92] TerminalLoggers v0.1.7
  [1022446e] ThermodynamicIntegration v0.2.8
  [28d57a85] Transducers v0.4.84
  [592b5752] Trapz v2.0.3
  [fce5fe82] Turing v0.39.0
  [3a884ed6] UnPack v1.0.2
  [013be700] UnsafeAtomics v0.3.0
  [efce3f68] WoodburyMatrices v1.0.0
⌃ [e88e6eb3] Zygote v0.6.77
  [700de1a5] ZygoteRules v0.2.7
  [f5851436] FFTW_jll v3.3.11+0
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  [dad2f222] LLVMExtra_jll v0.0.36+0
  [81d17ec3] L_BFGS_B_jll v3.0.1+0
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  [1317d2d5] oneTBB_jll v2022.0.0+0
  [0dad84c5] ArgTools v1.1.1
  [56f22d72] Artifacts
  [2a0f44e3] Base64
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  [8ba89e20] Distributed
  [f43a241f] Downloads v1.6.0
  [7b1f6079] FileWatching
  [9fa8497b] Future
  [b77e0a4c] InteractiveUtils
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  [b27032c2] LibCURL v0.6.4
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  [8f399da3] Libdl
  [37e2e46d] LinearAlgebra
  [56ddb016] Logging
  [d6f4376e] Markdown
  [a63ad114] Mmap
  [ca575930] NetworkOptions v1.2.0
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  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization
  [1a1011a3] SharedArrays
  [6462fe0b] Sockets
  [2f01184e] SparseArrays v1.10.0
  [10745b16] Statistics v1.10.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test
  [cf7118a7] UUIDs
  [4ec0a83e] Unicode
  [e66e0078] CompilerSupportLibraries_jll v1.1.1+0
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  [4536629a] OpenBLAS_jll v0.3.23+4
  [05823500] OpenLibm_jll v0.8.5+0
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  [83775a58] Zlib_jll v1.2.13+1
  [8e850b90] libblastrampoline_jll v5.11.0+0
  [8e850ede] nghttp2_jll v1.52.0+1
  [3f19e933] p7zip_jll v17.4.0+2
        Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading.
     Testing Running tests...

TI Sampling:   7%|██▋                                    |  ETA: 0:01:45
TI Sampling:  20%|███████▊                               |  ETA: 0:00:39
TI Sampling:  23%|█████████▏                             |  ETA: 0:00:33
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TI Sampling: 100%|███████████████████████████████████████| Time: 0:00:16
Turing - ThermInt - TISerial: Error During Test at /home/pkgeval/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:27
  Got exception outside of a @test
  MethodError: no method matching DynamicPPL.VarInfo(::DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, ::DynamicPPL.SampleFromPrior, ::Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}})
  
  Closest candidates are:
    DynamicPPL.VarInfo(!Matched::DynamicPPL.Model, ::AbstractMCMC.AbstractSampler, !Matched::AbstractPPL.AbstractContext)
     @ DynamicPPL ~/.julia/packages/DynamicPPL/I9lST/src/varinfo.jl:131
    DynamicPPL.VarInfo(!Matched::DynamicPPL.Model, ::AbstractMCMC.AbstractSampler)
     @ DynamicPPL ~/.julia/packages/DynamicPPL/I9lST/src/varinfo.jl:131
    DynamicPPL.VarInfo(::Any)
     @ DynamicPPL ~/.julia/packages/DynamicPPL/I9lST/src/varinfo.jl:106
    ...
  
  Stacktrace:
    [1] (::ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior})(z::Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}})
      @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:76
    [2] logdensity(::ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, θ::Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}})
      @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/thermint.jl:144
    [3] (::Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}})(y::Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}})
      @ Base ./operators.jl:1118
    [4] vector_mode_dual_eval!(f::Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}}}, x::Vector{Float64})
      @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/apiutils.jl:24
    [5] vector_mode_gradient!(result::DiffResults.MutableDiffResult{1, Float64, Tuple{Vector{Float64}}}, f::Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, x::Vector{Float64}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}}})
      @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/gradient.jl:98
    [6] gradient!(result::DiffResults.MutableDiffResult{1, Float64, Tuple{Vector{Float64}}}, f::Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, x::Vector{Float64}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}}}, ::Val{true})
      @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/gradient.jl:39
    [7] gradient!(result::DiffResults.MutableDiffResult{1, Float64, Tuple{Vector{Float64}}}, f::Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, x::Vector{Float64}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}}})
      @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/gradient.jl:36
    [8] logdensity_and_gradient(fℓ::LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}, x::Vector{Float64})
      @ LogDensityProblemsADForwardDiffExt ~/.julia/packages/LogDensityProblemsAD/9uEsH/ext/LogDensityProblemsADForwardDiffExt.jl:116
    [9] (::Base.Fix1{typeof(LogDensityProblems.logdensity_and_gradient), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}})(y::Vector{Float64})
      @ Base ./operators.jl:1118
   [10] ∂H∂θ(h::AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}, Base.Fix1{typeof(LogDensityProblems.logdensity_and_gradient), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}}, θ::Vector{Float64})
      @ AdvancedHMC ~/.julia/packages/AdvancedHMC/9NhHg/src/hamiltonian.jl:38
   [11] phasepoint(h::AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}, Base.Fix1{typeof(LogDensityProblems.logdensity_and_gradient), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}}, θ::Vector{Float64}, r::Vector{Float64})
      @ AdvancedHMC ~/.julia/packages/AdvancedHMC/9NhHg/src/hamiltonian.jl:80
   [12] find_good_stepsize(rng::Random._GLOBAL_RNG, h::AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}, Base.Fix1{typeof(LogDensityProblems.logdensity_and_gradient), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}}, θ::Vector{Float64}; max_n_iters::Int64)
      @ AdvancedHMC ~/.julia/packages/AdvancedHMC/9NhHg/src/trajectory.jl:777
   [13] find_good_stepsize(h::AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}, Base.Fix1{typeof(LogDensityProblems.logdensity_and_gradient), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}}, θ::Vector{Float64}; max_n_iters::Int64)
      @ AdvancedHMC ~/.julia/packages/AdvancedHMC/9NhHg/src/trajectory.jl:837
   [14] find_good_stepsize(h::AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}, Base.Fix1{typeof(LogDensityProblems.logdensity_and_gradient), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}}, θ::Vector{Float64})
      @ AdvancedHMC ~/.julia/packages/AdvancedHMC/9NhHg/src/trajectory.jl:832
   [15] sample_powerlogπ(pj::ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, alg::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}, x_init::Vector{Float64})
      @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/thermint.jl:163
   [16] evaluate_loglikelihood(model::DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, alg::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}, β::Float64)
      @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:53
   [17] #37
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:11 [inlined]
   [18] (::ThermodynamicIntegration.var"#37#38"{ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}, DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, ProgressMeter.Progress})(β::Float64)
      @ ThermodynamicIntegration ./none:0
   [19] iterate
      @ ./generator.jl:47 [inlined]
   [20] collect
      @ ./array.jl:834 [inlined]
   [21] (::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}})(model::DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, ::TISerial; progress::Bool, kwargs::@Kwargs{})
      @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:8
   [22] (::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}})(model::DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, ::TISerial)
      @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:3
   [23] macro expansion
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:35 [inlined]
   [24] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1577 [inlined]
   [25] test_basic_turing(alg::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}, method::TISerial; D::Int64, atol::Float64)
      @ Main ~/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:28
   [26] test_basic_turing(alg::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}, method::TISerial)
      @ Main ~/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:24
   [27] macro expansion
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:46 [inlined]
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1577 [inlined]
   [29] top-level scope
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:43
   [30] include(fname::String)
      @ Base.MainInclude ./client.jl:494
   [31] macro expansion
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/test/runtests.jl:4 [inlined]
   [32] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1577 [inlined]
   [33] top-level scope
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/test/runtests.jl:4
   [34] include(fname::String)
      @ Base.MainInclude ./client.jl:494
   [35] top-level scope
      @ none:6
   [36] eval
      @ ./boot.jl:385 [inlined]
   [37] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [38] _start()
      @ Base ./client.jl:557
┌ Warning: Only one thread available, parallelization will not happen. Start Julia with `julia --threads n`
└ @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/thermint.jl:66

TI Multithreaded Sampling:   7%|█▋                       |  ETA: 0:00:11
TI Multithreaded Sampling:  10%|██▌                      |  ETA: 0:00:09
TI Multithreaded Sampling:  13%|███▍                     |  ETA: 0:00:09
TI Multithreaded Sampling:  17%|████▏                    |  ETA: 0:00:08
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TI Multithreaded Sampling:  23%|█████▉                   |  ETA: 0:00:07
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TI Multithreaded Sampling:  57%|██████████████▏          |  ETA: 0:00:04
TI Multithreaded Sampling:  60%|███████████████          |  ETA: 0:00:04
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TI Multithreaded Sampling:  70%|█████████████████▌       |  ETA: 0:00:03
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TI Multithreaded Sampling:  77%|███████████████████▏     |  ETA: 0:00:02
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TI Multithreaded Sampling:  87%|█████████████████████▋   |  ETA: 0:00:01
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TI Multithreaded Sampling: 100%|█████████████████████████| Time: 0:00:09
┌ Warning: Only one thread available, parallelization will not happen. Start Julia with `julia --threads n`
└ @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/thermint.jl:66
Turing - ThermInt - TIThreads: Error During Test at /home/pkgeval/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:27
  Got exception outside of a @test
  TaskFailedException
  
      nested task error: MethodError: no method matching DynamicPPL.VarInfo(::DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, ::DynamicPPL.SampleFromPrior, ::Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}})
      
      Closest candidates are:
        DynamicPPL.VarInfo(!Matched::DynamicPPL.Model, ::AbstractMCMC.AbstractSampler, !Matched::AbstractPPL.AbstractContext)
         @ DynamicPPL ~/.julia/packages/DynamicPPL/I9lST/src/varinfo.jl:131
        DynamicPPL.VarInfo(!Matched::DynamicPPL.Model, ::AbstractMCMC.AbstractSampler)
         @ DynamicPPL ~/.julia/packages/DynamicPPL/I9lST/src/varinfo.jl:131
        DynamicPPL.VarInfo(::Any)
         @ DynamicPPL ~/.julia/packages/DynamicPPL/I9lST/src/varinfo.jl:106
        ...
      
      Stacktrace:
        [1] (::ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior})(z::Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}})
          @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:76
        [2] logdensity(::ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, θ::Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}})
          @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/thermint.jl:144
        [3] (::Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}})(y::Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}})
          @ Base ./operators.jl:1118
        [4] vector_mode_dual_eval!(f::Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}}}, x::Vector{Float64})
          @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/apiutils.jl:24
        [5] vector_mode_gradient!(result::DiffResults.MutableDiffResult{1, Float64, Tuple{Vector{Float64}}}, f::Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, x::Vector{Float64}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}}})
          @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/gradient.jl:98
        [6] gradient!(result::DiffResults.MutableDiffResult{1, Float64, Tuple{Vector{Float64}}}, f::Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, x::Vector{Float64}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}}}, ::Val{true})
          @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/gradient.jl:39
        [7] gradient!(result::DiffResults.MutableDiffResult{1, Float64, Tuple{Vector{Float64}}}, f::Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, x::Vector{Float64}, cfg::ForwardDiff.GradientConfig{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5, Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}}})
          @ ForwardDiff ~/.julia/packages/ForwardDiff/UBbGT/src/gradient.jl:36
        [8] logdensity_and_gradient(fℓ::LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}, x::Vector{Float64})
          @ LogDensityProblemsADForwardDiffExt ~/.julia/packages/LogDensityProblemsAD/9uEsH/ext/LogDensityProblemsADForwardDiffExt.jl:116
        [9] (::Base.Fix1{typeof(LogDensityProblems.logdensity_and_gradient), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}})(y::Vector{Float64})
          @ Base ./operators.jl:1118
       [10] ∂H∂θ(h::AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}, Base.Fix1{typeof(LogDensityProblems.logdensity_and_gradient), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}}, θ::Vector{Float64})
          @ AdvancedHMC ~/.julia/packages/AdvancedHMC/9NhHg/src/hamiltonian.jl:38
       [11] phasepoint(h::AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}, Base.Fix1{typeof(LogDensityProblems.logdensity_and_gradient), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}}, θ::Vector{Float64}, r::Vector{Float64})
          @ AdvancedHMC ~/.julia/packages/AdvancedHMC/9NhHg/src/hamiltonian.jl:80
       [12] find_good_stepsize(rng::Random._GLOBAL_RNG, h::AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}, Base.Fix1{typeof(LogDensityProblems.logdensity_and_gradient), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}}, θ::Vector{Float64}; max_n_iters::Int64)
          @ AdvancedHMC ~/.julia/packages/AdvancedHMC/9NhHg/src/trajectory.jl:777
       [13] find_good_stepsize(h::AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}, Base.Fix1{typeof(LogDensityProblems.logdensity_and_gradient), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}}, θ::Vector{Float64}; max_n_iters::Int64)
          @ AdvancedHMC ~/.julia/packages/AdvancedHMC/9NhHg/src/trajectory.jl:837
       [14] find_good_stepsize(h::AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Vector{Float64}}, AdvancedHMC.GaussianKinetic, Base.Fix1{typeof(LogDensityProblems.logdensity), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}, Base.Fix1{typeof(LogDensityProblems.logdensity_and_gradient), LogDensityProblemsADForwardDiffExt.ForwardDiffLogDensity{ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, ForwardDiff.Chunk{5}, Nothing, Nothing}}}, θ::Vector{Float64})
          @ AdvancedHMC ~/.julia/packages/AdvancedHMC/9NhHg/src/trajectory.jl:832
       [15] sample_powerlogπ(pj::ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}, alg::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}, x_init::Vector{Float64})
          @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/thermint.jl:163
       [16] evaluate_loglikelihood(model::DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, alg::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}, β::Float64)
          @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:53
       [17] macro expansion
          @ ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:28 [inlined]
       [18] (::ThermodynamicIntegration.var"#16#threadsfor_fun#43"{ThermodynamicIntegration.var"#16#threadsfor_fun#41#44"{@Kwargs{}, ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}, DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, ProgressMeter.Progress, Vector{ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}}, Vector{Float64}, UnitRange{Int64}}})(tid::Int64; onethread::Bool)
          @ ThermodynamicIntegration ./threadingconstructs.jl:215
       [19] #16#threadsfor_fun
          @ ./threadingconstructs.jl:182 [inlined]
       [20] (::Base.Threads.var"#1#2"{ThermodynamicIntegration.var"#16#threadsfor_fun#43"{ThermodynamicIntegration.var"#16#threadsfor_fun#41#44"{@Kwargs{}, ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}, DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, ProgressMeter.Progress, Vector{ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}}, Vector{Float64}, UnitRange{Int64}}}, Int64})()
          @ Base.Threads ./threadingconstructs.jl:154
  Stacktrace:
    [1] threading_run(fun::ThermodynamicIntegration.var"#16#threadsfor_fun#43"{ThermodynamicIntegration.var"#16#threadsfor_fun#41#44"{@Kwargs{}, ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}, DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, ProgressMeter.Progress, Vector{ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}}, Vector{Float64}, UnitRange{Int64}}}, static::Bool)
      @ Base.Threads ./threadingconstructs.jl:172
    [2] macro expansion
      @ ./threadingconstructs.jl:220 [inlined]
    [3] (::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}})(model::DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, ::TIThreads; progress::Bool, kwargs::@Kwargs{})
      @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:26
    [4] (::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}})(model::DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, ::TIThreads)
      @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:17
    [5] macro expansion
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:35 [inlined]
    [6] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1577 [inlined]
    [7] test_basic_turing(alg::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}, method::TIThreads; D::Int64, atol::Float64)
      @ Main ~/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:28
    [8] test_basic_turing(alg::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}, method::TIThreads)
      @ Main ~/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:24
    [9] macro expansion
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:50 [inlined]
   [10] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1577 [inlined]
   [11] top-level scope
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:43
   [12] include(fname::String)
      @ Base.MainInclude ./client.jl:494
   [13] macro expansion
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/test/runtests.jl:4 [inlined]
   [14] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1577 [inlined]
   [15] top-level scope
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/test/runtests.jl:4
   [16] include(fname::String)
      @ Base.MainInclude ./client.jl:494
   [17] top-level scope
      @ none:6
   [18] eval
      @ ./boot.jl:385 [inlined]
   [19] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [20] _start()
      @ Base ./client.jl:557
┌ Warning: Only one process available, parallelization will not happen. Start Julia with `julia -p n`
└ @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/thermint.jl:97
┌ Warning: progress is not possible with distributed computing for now.
└ @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/thermint.jl:109
┌ Warning: Only one process available, parallelization will not happen. Start Julia with `julia -p n`
└ @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/thermint.jl:97
┌ Warning: progress is not possible with distributed computing for now.
└ @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:38
Turing - ThermInt - TIDistributed: Error During Test at /home/pkgeval/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:27
  Got exception outside of a @test
  On worker 2:
  MethodError: no method matching DynamicPPL.VarInfo(::DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, ::DynamicPPL.SampleFromPrior, ::Vector{ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), ThermodynamicIntegration.PowerJoint{Float64, ThermodynamicIntegration.var"#f#48"{DynamicPPL.Model{Serialization.__deserialized_types__.var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}, ThermodynamicIntegration.var"#f#47"{DynamicPPL.Model{Serialization.__deserialized_types__.var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, DynamicPPL.VarInfo{@NamedTuple{x::DynamicPPL.Metadata{Dict{AbstractPPL.VarName{:x, typeof(identity)}, Int64}, Vector{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, Vector{AbstractPPL.VarName{:x, typeof(identity)}}, Vector{Float64}}}, Float64}, DynamicPPL.SampleFromPrior}}}, Float64}, Float64, 5}})
  
  Closest candidates are:
    DynamicPPL.VarInfo(!Matched::DynamicPPL.Model, ::AbstractMCMC.AbstractSampler, !Matched::AbstractPPL.AbstractContext)
     @ DynamicPPL ~/.julia/packages/DynamicPPL/I9lST/src/varinfo.jl:131
    DynamicPPL.VarInfo(!Matched::DynamicPPL.Model, ::AbstractMCMC.AbstractSampler)
     @ DynamicPPL ~/.julia/packages/DynamicPPL/I9lST/src/varinfo.jl:131
    DynamicPPL.VarInfo(::Any)
     @ DynamicPPL ~/.julia/packages/DynamicPPL/I9lST/src/varinfo.jl:106
    ...
  
  Stacktrace:
    [1] f
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:76
    [2] logdensity
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/src/thermint.jl:144
    [3] Fix1
      @ ./operators.jl:1118
    [4] vector_mode_dual_eval!
      @ ~/.julia/packages/ForwardDiff/UBbGT/src/apiutils.jl:24
    [5] vector_mode_gradient!
      @ ~/.julia/packages/ForwardDiff/UBbGT/src/gradient.jl:98
    [6] gradient!
      @ ~/.julia/packages/ForwardDiff/UBbGT/src/gradient.jl:39
    [7] gradient!
      @ ~/.julia/packages/ForwardDiff/UBbGT/src/gradient.jl:36
    [8] logdensity_and_gradient
      @ ~/.julia/packages/LogDensityProblemsAD/9uEsH/ext/LogDensityProblemsADForwardDiffExt.jl:116
    [9] Fix1
      @ ./operators.jl:1118
   [10] ∂H∂θ
      @ ~/.julia/packages/AdvancedHMC/9NhHg/src/hamiltonian.jl:38
   [11] phasepoint
      @ ~/.julia/packages/AdvancedHMC/9NhHg/src/hamiltonian.jl:80
   [12] #find_good_stepsize#20
      @ ~/.julia/packages/AdvancedHMC/9NhHg/src/trajectory.jl:777
   [13] #find_good_stepsize#21
      @ ~/.julia/packages/AdvancedHMC/9NhHg/src/trajectory.jl:837
   [14] find_good_stepsize
      @ ~/.julia/packages/AdvancedHMC/9NhHg/src/trajectory.jl:832
   [15] sample_powerlogπ
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/src/thermint.jl:163
   [16] evaluate_loglikelihood
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:53
   [17] local_eval
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:42
   [18] #exec_from_cache#213
      @ /opt/julia/share/julia/stdlib/v1.10/Distributed/src/workerpool.jl:357
   [19] exec_from_cache
      @ /opt/julia/share/julia/stdlib/v1.10/Distributed/src/workerpool.jl:355
   [20] #invokelatest#2
      @ ./essentials.jl:892
   [21] invokelatest
      @ ./essentials.jl:889
   [22] #110
      @ /opt/julia/share/julia/stdlib/v1.10/Distributed/src/process_messages.jl:287
   [23] run_work_thunk
      @ /opt/julia/share/julia/stdlib/v1.10/Distributed/src/process_messages.jl:70
   [24] #109
      @ /opt/julia/share/julia/stdlib/v1.10/Distributed/src/process_messages.jl:287
  Stacktrace:
    [1] (::Base.var"#1036#1038")(x::Task)
      @ Base ./asyncmap.jl:171
    [2] foreach(f::Base.var"#1036#1038", itr::Vector{Any})
      @ Base ./abstractarray.jl:3098
    [3] maptwice(wrapped_f::Function, chnl::Channel{Any}, worker_tasks::Vector{Any}, c::Vector{Float64})
      @ Base ./asyncmap.jl:171
    [4] wrap_n_exec_twice
      @ ./asyncmap.jl:147 [inlined]
    [5] #async_usemap#1021
      @ ./asyncmap.jl:97 [inlined]
    [6] async_usemap
      @ ./asyncmap.jl:78 [inlined]
    [7] #asyncmap#1020
      @ ./asyncmap.jl:75 [inlined]
    [8] asyncmap
      @ ./asyncmap.jl:74 [inlined]
    [9] pmap(f::Function, p::CachingPool, c::Vector{Float64}; distributed::Bool, batch_size::Int64, on_error::Nothing, retry_delays::Vector{Any}, retry_check::Nothing)
      @ Distributed /opt/julia/share/julia/stdlib/v1.10/Distributed/src/pmap.jl:126
   [10] pmap
      @ /opt/julia/share/julia/stdlib/v1.10/Distributed/src/pmap.jl:99 [inlined]
   [11] (::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}})(model::DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, ::TIDistributed; progress::Bool, kwargs::@Kwargs{})
      @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:44
   [12] (::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}})(model::DynamicPPL.Model{var"#gauss#5"{ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}, ZeroMeanDiagNormal{Tuple{Base.OneTo{Int64}}}}, (:y,), (), (), Tuple{Vector{Float64}}, Tuple{}, DynamicPPL.DefaultContext}, ::TIDistributed)
      @ ThermodynamicIntegration ~/.julia/packages/ThermodynamicIntegration/e82iS/src/turing.jl:34
   [13] macro expansion
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:35 [inlined]
   [14] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1577 [inlined]
   [15] test_basic_turing(alg::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}, method::TIDistributed; D::Int64, atol::Float64)
      @ Main ~/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:28
   [16] test_basic_turing(alg::ThermInt{:ForwardDiff, Random.TaskLocalRNG, Vector{Float64}}, method::TIDistributed)
      @ Main ~/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:24
   [17] macro expansion
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:63 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1577 [inlined]
   [19] top-level scope
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/test/thermint.jl:43
   [20] include(fname::String)
      @ Base.MainInclude ./client.jl:494
   [21] macro expansion
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/test/runtests.jl:4 [inlined]
   [22] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.10/Test/src/Test.jl:1577 [inlined]
   [23] top-level scope
      @ ~/.julia/packages/ThermodynamicIntegration/e82iS/test/runtests.jl:4
   [24] include(fname::String)
      @ Base.MainInclude ./client.jl:494
   [25] top-level scope
      @ none:6
   [26] eval
      @ ./boot.jl:385 [inlined]
   [27] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [28] _start()
      @ Base ./client.jl:557
Test Summary:                             | Pass  Error  Total     Time
ThermodynamicIntegration.jl               |    6      3      9  5m12.4s
  Test basic model with different options |    6      3      9  2m43.0s
    ThermInt - TISerial                   |    2             2    17.1s
    Turing - ThermInt - TISerial          |           1      1    28.0s
    ThermInt - TIThreads                  |    2             2    10.5s
    Turing - ThermInt - TIThreads         |           1      1     1.7s
    ThermInt - TIDistributed              |    2             2    28.3s
    Turing - ThermInt - TIDistributed     |           1      1    26.6s
ERROR: LoadError: Some tests did not pass: 6 passed, 0 failed, 3 errored, 0 broken.
in expression starting at /home/pkgeval/.julia/packages/ThermodynamicIntegration/e82iS/test/runtests.jl:3

Testing failed after 250.92s

ERROR: LoadError: Package ThermodynamicIntegration errored during testing
Stacktrace:
 [1] pkgerror(msg::String)
   @ Pkg.Types /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Types.jl:70
 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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/v1.10/Pkg/src/Operations.jl:2034
 [3] test
   @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1915 [inlined]
 [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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::Base.PipeEndpoint})
   @ Pkg.API /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:444
 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::Base.PipeEndpoint, kwargs::@Kwargs{julia_args::Cmd})
   @ Pkg.API /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:159
 [6] test
   @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:147 [inlined]
 [7] #test#74
   @ /opt/julia/share/julia/stdlib/v1.10/Pkg/src/API.jl:146 [inlined]
 [8] top-level scope
   @ /PkgEval.jl/scripts/evaluate.jl:219
in expression starting at /PkgEval.jl/scripts/evaluate.jl:210

PkgEval failed after 854.11s: package tests unexpectedly errored