Package evaluation of Turing on Julia 1.13.0-DEV.853 (3e868b27cf*) started at 2025-07-17T07:46:36.510


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 8.28s


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

Installing Turing...
   Resolving package versions...
    Updating `~/.julia/environments/v1.13/Project.toml`
  [fce5fe82] + Turing v0.39.5
    Updating `~/.julia/environments/v1.13/Manifest.toml`
  [47edcb42] + ADTypes v1.15.0
  [621f4979] + AbstractFFTs v1.5.0
  [80f14c24] + AbstractMCMC v5.6.3
⌅ [7a57a42e] + AbstractPPL v0.12.0
  [1520ce14] + AbstractTrees v0.4.5
  [7d9f7c33] + Accessors v0.1.42
  [79e6a3ab] + Adapt v4.3.0
  [0bf59076] + AdvancedHMC v0.8.0
  [5b7e9947] + AdvancedMH v0.8.8
⌅ [576499cb] + AdvancedPS v0.6.2
  [b5ca4192] + AdvancedVI v0.4.1
  [66dad0bd] + AliasTables v1.1.3
  [dce04be8] + ArgCheck v2.5.0
  [4fba245c] + ArrayInterface v7.19.0
  [13072b0f] + AxisAlgorithms v1.1.0
  [39de3d68] + AxisArrays v0.4.7
  [198e06fe] + BangBang v0.4.4
  [9718e550] + Baselet v0.1.1
  [76274a88] + Bijectors v0.15.8
  [082447d4] + ChainRules v1.72.5
  [d360d2e6] + ChainRulesCore v1.25.2
  [0ca39b1e] + Chairmarks v1.3.1
  [9e997f8a] + ChangesOfVariables v0.1.10
  [861a8166] + Combinatorics v1.0.3
  [38540f10] + CommonSolve v0.2.4
  [bbf7d656] + CommonSubexpressions v0.3.1
  [34da2185] + Compat v4.17.0
  [a33af91c] + CompositionsBase v0.1.2
  [88cd18e8] + ConsoleProgressMonitor v0.1.2
  [187b0558] + ConstructionBase v1.6.0
  [a8cc5b0e] + Crayons v4.1.1
  [9a962f9c] + DataAPI v1.16.0
  [864edb3b] + DataStructures v0.18.22
  [e2d170a0] + DataValueInterfaces v1.0.0
  [244e2a9f] + DefineSingletons v0.1.2
  [8bb1440f] + DelimitedFiles v1.9.1
  [b429d917] + DensityInterface v0.4.0
  [163ba53b] + DiffResults v1.1.0
  [b552c78f] + DiffRules v1.15.1
  [a0c0ee7d] + DifferentiationInterface v0.7.3
  [31c24e10] + Distributions v0.25.120
  [ced4e74d] + DistributionsAD v0.6.58
  [ffbed154] + DocStringExtensions v0.9.5
  [366bfd00] + DynamicPPL v0.36.15
  [cad2338a] + EllipticalSliceSampling v2.0.0
  [4e289a0a] + EnumX v1.0.5
  [e2ba6199] + ExprTools v0.1.10
  [55351af7] + ExproniconLite v0.10.14
  [7a1cc6ca] + FFTW v1.9.0
  [9aa1b823] + FastClosures v0.3.2
  [1a297f60] + FillArrays v1.13.0
  [6a86dc24] + FiniteDiff v2.27.0
  [f6369f11] + ForwardDiff v1.0.1
  [069b7b12] + FunctionWrappers v1.1.3
  [77dc65aa] + FunctionWrappersWrappers v0.1.3
  [d9f16b24] + Functors v0.5.2
  [46192b85] + GPUArraysCore v0.2.0
  [34004b35] + HypergeometricFunctions v0.3.28
  [22cec73e] + InitialValues v0.3.1
  [a98d9a8b] + Interpolations v0.16.1
  [8197267c] + IntervalSets v0.7.11
  [3587e190] + InverseFunctions v0.1.17
  [41ab1584] + InvertedIndices v1.3.1
  [92d709cd] + IrrationalConstants v0.2.4
  [c8e1da08] + IterTools v1.10.0
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [692b3bcd] + JLLWrappers v1.7.0
  [682c06a0] + JSON v0.21.4
  [ae98c720] + Jieko v0.2.1
  [5ab0869b] + KernelDensity v0.6.10
  [5be7bae1] + LBFGSB v0.4.1
  [8ac3fa9e] + LRUCache v1.6.2
  [b964fa9f] + LaTeXStrings v1.4.0
  [1d6d02ad] + LeftChildRightSiblingTrees v0.2.0
⌅ [6f1fad26] + Libtask v0.8.8
  [d3d80556] + LineSearches v7.4.0
  [6fdf6af0] + LogDensityProblems v2.1.2
  [996a588d] + LogDensityProblemsAD v1.13.1
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [e6f89c97] + LoggingExtras v1.1.0
  [c7f686f2] + MCMCChains v7.1.0
  [be115224] + MCMCDiagnosticTools v0.3.14
  [e80e1ace] + MLJModelInterface v1.11.1
  [1914dd2f] + MacroTools v0.5.16
  [dbb5928d] + MappedArrays v0.4.2
  [128add7d] + MicroCollections v0.2.0
  [e1d29d7a] + Missings v1.2.0
  [2e0e35c7] + Moshi v0.3.7
  [d41bc354] + NLSolversBase v7.10.0
  [77ba4419] + NaNMath v1.1.3
  [86f7a689] + NamedArrays v0.10.4
  [c020b1a1] + NaturalSort v1.0.0
  [6fe1bfb0] + OffsetArrays v1.17.0
  [429524aa] + Optim v1.13.2
  [3bd65402] + Optimisers v0.4.6
  [7f7a1694] + Optimization v4.4.0
  [bca83a33] + OptimizationBase v2.9.0
  [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 v1.3.2
  [21216c6a] + Preferences v1.4.3
  [08abe8d2] + PrettyTables v2.4.0
  [33c8b6b6] + ProgressLogging v0.1.5
  [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 v3.34.1
  [189a3867] + Reexport v1.2.2
  [ae029012] + Requires v1.3.1
  [79098fc4] + Rmath v0.8.0
  [f2b01f46] + Roots v2.2.8
  [7e49a35a] + RuntimeGeneratedFunctions v0.5.15
  [26aad666] + SSMProblems v0.5.0
  [0bca4576] + SciMLBase v2.103.1
  [c0aeaf25] + SciMLOperators v1.3.1
  [53ae85a6] + SciMLStructures v1.7.0
  [30f210dd] + ScientificTypesBase v3.0.0
  [efcf1570] + Setfield v1.1.2
  [a2af1166] + SortingAlgorithms v1.2.1
  [9f842d2f] + SparseConnectivityTracer v1.0.0
  [dc90abb0] + SparseInverseSubset v0.1.2
  [0a514795] + SparseMatrixColorings v0.4.21
  [276daf66] + SpecialFunctions v2.5.1
  [171d559e] + SplittablesBase v0.1.15
  [90137ffa] + StaticArrays v1.9.14
  [1e83bf80] + StaticArraysCore v1.4.3
  [64bff920] + StatisticalTraits v3.5.0
  [10745b16] + Statistics v1.11.1
  [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 v0.3.41
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.12.1
  [5d786b92] + TerminalLoggers v0.1.7
  [28d57a85] + Transducers v0.4.84
  [fce5fe82] + Turing v0.39.5
  [3a884ed6] + UnPack v1.0.2
  [efce3f68] + WoodburyMatrices v1.0.0
  [700de1a5] + ZygoteRules v0.2.7
  [f5851436] + FFTW_jll v3.3.11+0
  [1d5cc7b8] + IntelOpenMP_jll v2025.0.4+0
  [81d17ec3] + L_BFGS_B_jll v3.0.1+0
  [856f044c] + MKL_jll v2025.0.1+1
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
  [f50d1b31] + Rmath_jll v0.5.1+0
  [1317d2d5] + oneTBB_jll v2022.0.0+0
  [0dad84c5] + ArgTools v1.1.2
  [56f22d72] + Artifacts v1.11.0
  [2a0f44e3] + Base64 v1.11.0
  [ade2ca70] + Dates v1.11.0
  [8ba89e20] + Distributed v1.11.0
  [f43a241f] + Downloads v1.7.0
  [7b1f6079] + FileWatching v1.11.0
  [9fa8497b] + Future v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0
  [4af54fe1] + LazyArtifacts v1.11.0
  [b27032c2] + LibCURL v0.6.4
  [76f85450] + LibGit2 v1.11.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.12.0
  [56ddb016] + Logging v1.11.0
  [d6f4376e] + Markdown v1.11.0
  [a63ad114] + Mmap v1.11.0
  [ca575930] + NetworkOptions v1.3.0
  [44cfe95a] + Pkg v1.13.0
  [de0858da] + Printf v1.11.0
  [3fa0cd96] + REPL v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v0.7.0
  [9e88b42a] + Serialization v1.11.0
  [1a1011a3] + SharedArrays v1.11.0
  [6462fe0b] + Sockets v1.11.0
  [2f01184e] + SparseArrays v1.12.0
  [f489334b] + StyledStrings v1.11.0
  [4607b0f0] + SuiteSparse
  [fa267f1f] + TOML v1.0.3
  [a4e569a6] + Tar v1.10.0
  [8dfed614] + Test v1.11.0
  [cf7118a7] + UUIDs v1.11.0
  [4ec0a83e] + Unicode v1.11.0
  [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1
  [deac9b47] + LibCURL_jll v8.14.1+1
  [e37daf67] + LibGit2_jll v1.9.1+0
  [29816b5a] + LibSSH2_jll v1.11.3+1
  [14a3606d] + MozillaCACerts_jll v2025.5.20
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [05823500] + OpenLibm_jll v0.8.5+0
  [458c3c95] + OpenSSL_jll v3.5.1+0
  [efcefdf7] + PCRE2_jll v10.45.0+0
  [bea87d4a] + SuiteSparse_jll v7.10.1+0
  [83775a58] + Zlib_jll v1.3.1+2
  [8e850b90] + libblastrampoline_jll v5.13.1+0
  [8e850ede] + nghttp2_jll v1.65.0+0
  [3f19e933] + p7zip_jll v17.5.0+2
        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 5.77s


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

Precompiling PkgEval dependencies...

┌ Warning: Could not use exact versions of packages in manifest, re-resolving
└ @ TestEnv ~/.julia/packages/TestEnv/iS95e/src/julia-1.11/activate_set.jl:75
Precompiling package dependencies...

Precompilation completed after 1133.3s


################################################################################
# Testing
#

     Testing Turing
        Test Could not use exact versions of packages in manifest. Re-resolving dependencies
    Updating `/tmp/jl_L4dmxn/Project.toml`
⌅ [576499cb] ↓ AdvancedPS v0.6.2 ⇒ v0.6.0
  [4c88cf16] + Aqua v0.8.13
  [aaaa29a8] + Clustering v0.15.8
  [bbc10e6e] + DynamicHMC v3.5.1
  [26cc04aa] + FiniteDifferences v0.12.32
  [09f84164] + HypothesisTests v0.11.5
  [3e6eede4] + OptimizationBBO v0.4.1
  [4e6fcdb7] + OptimizationNLopt v0.3.2
  [37e2e3b7] + ReverseDiff v1.16.1
  [860ef19b] + StableRNGs v1.0.3
  [a759f4b9] + TimerOutputs v0.5.29
  [fce5fe82] + Turing v0.39.5
    Updating `/tmp/jl_L4dmxn/Manifest.toml`
  [0bf59076] + AdvancedHMC v0.8.0
⌅ [576499cb] ↓ AdvancedPS v0.6.2 ⇒ v0.6.0
  [4c88cf16] + Aqua v0.8.13
  [a134a8b2] + BlackBoxOptim v0.6.3
  [fa961155] + CEnum v0.5.0
  [a9c8d775] + CPUTime v1.0.0
  [aaaa29a8] + Clustering v0.15.8
  [b4f34e82] + Distances v0.10.12
  [bbc10e6e] + DynamicHMC v3.5.1
  [cad2338a] + EllipticalSliceSampling v2.0.0
  [26cc04aa] + FiniteDifferences v0.12.32
  [09f84164] + HypothesisTests v0.11.5
  [8ac3fa9e] + LRUCache v1.6.2
  [1fad7336] + LazyStack v0.1.3
⌅ [6f1fad26] + Libtask v0.8.8
  [76087f3c] + NLopt v1.2.0
  [b8a86587] + NearestNeighbors v0.4.22
  [3e6eede4] + OptimizationBBO v0.4.1
  [4e6fcdb7] + OptimizationNLopt v0.3.2
  [65ce6f38] + PackageExtensionCompat v1.0.2
  [37e2e3b7] + ReverseDiff v1.16.1
  [708f8203] + Richardson v1.4.2
⌅ [26aad666] ↓ SSMProblems v0.5.0 ⇒ v0.1.1
  [d4ead438] + SpatialIndexing v0.1.6
  [860ef19b] + StableRNGs v1.0.3
  [5e0ebb24] + Strided v2.3.2
  [4db3bf67] + StridedViews v0.4.1
  [02d47bb6] + TensorCast v0.4.9
  [a759f4b9] + TimerOutputs v0.5.29
  [24ddb15e] + TransmuteDims v0.1.17
  [9d95972d] + TupleTools v1.6.0
  [fce5fe82] + Turing v0.39.5
  [079eb43e] + NLopt_jll v2.10.0+0
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`
        Test Successfully re-resolved
      Status `/tmp/jl_L4dmxn/Project.toml`
  [47edcb42] ADTypes v1.15.0
  [80f14c24] AbstractMCMC v5.6.3
⌅ [7a57a42e] AbstractPPL v0.12.0
  [5b7e9947] AdvancedMH v0.8.8
⌅ [576499cb] AdvancedPS v0.6.0
  [b5ca4192] AdvancedVI v0.4.1
  [4c88cf16] Aqua v0.8.13
  [198e06fe] BangBang v0.4.4
  [76274a88] Bijectors v0.15.8
  [aaaa29a8] Clustering v0.15.8
  [861a8166] Combinatorics v1.0.3
  [31c24e10] Distributions v0.25.120
  [ced4e74d] DistributionsAD v0.6.58
  [bbc10e6e] DynamicHMC v3.5.1
  [366bfd00] DynamicPPL v0.36.15
  [26cc04aa] FiniteDifferences v0.12.32
  [f6369f11] ForwardDiff v1.0.1
  [09f84164] HypothesisTests v0.11.5
  [6fdf6af0] LogDensityProblems v2.1.2
  [996a588d] LogDensityProblemsAD v1.13.1
  [c7f686f2] MCMCChains v7.1.0
  [86f7a689] NamedArrays v0.10.4
  [429524aa] Optim v1.13.2
  [7f7a1694] Optimization v4.4.0
  [3e6eede4] OptimizationBBO v0.4.1
  [4e6fcdb7] OptimizationNLopt v0.3.2
  [36348300] OptimizationOptimJL v0.4.3
  [90014a1f] PDMats v0.11.35
  [37e2e3b7] ReverseDiff v1.16.1
  [276daf66] SpecialFunctions v2.5.1
  [860ef19b] StableRNGs v1.0.3
  [2913bbd2] StatsBase v0.34.5
  [4c63d2b9] StatsFuns v1.5.0
  [a759f4b9] TimerOutputs v0.5.29
  [fce5fe82] Turing v0.39.5
  [37e2e46d] LinearAlgebra v1.12.0
  [44cfe95a] Pkg v1.13.0
  [9a3f8284] Random v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_L4dmxn/Manifest.toml`
  [47edcb42] ADTypes v1.15.0
  [621f4979] AbstractFFTs v1.5.0
  [80f14c24] AbstractMCMC v5.6.3
⌅ [7a57a42e] AbstractPPL v0.12.0
  [1520ce14] AbstractTrees v0.4.5
  [7d9f7c33] Accessors v0.1.42
  [79e6a3ab] Adapt v4.3.0
  [0bf59076] AdvancedHMC v0.8.0
  [5b7e9947] AdvancedMH v0.8.8
⌅ [576499cb] AdvancedPS v0.6.0
  [b5ca4192] AdvancedVI v0.4.1
  [66dad0bd] AliasTables v1.1.3
  [4c88cf16] Aqua v0.8.13
  [dce04be8] ArgCheck v2.5.0
  [4fba245c] ArrayInterface v7.19.0
  [13072b0f] AxisAlgorithms v1.1.0
  [39de3d68] AxisArrays v0.4.7
  [198e06fe] BangBang v0.4.4
  [9718e550] Baselet v0.1.1
  [76274a88] Bijectors v0.15.8
  [a134a8b2] BlackBoxOptim v0.6.3
  [fa961155] CEnum v0.5.0
  [a9c8d775] CPUTime v1.0.0
  [082447d4] ChainRules v1.72.5
  [d360d2e6] ChainRulesCore v1.25.2
  [0ca39b1e] Chairmarks v1.3.1
  [9e997f8a] ChangesOfVariables v0.1.10
  [aaaa29a8] Clustering v0.15.8
  [861a8166] Combinatorics v1.0.3
  [38540f10] CommonSolve v0.2.4
  [bbf7d656] CommonSubexpressions v0.3.1
  [34da2185] Compat v4.17.0
  [a33af91c] CompositionsBase v0.1.2
  [88cd18e8] ConsoleProgressMonitor v0.1.2
  [187b0558] ConstructionBase v1.6.0
  [a8cc5b0e] Crayons v4.1.1
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.18.22
  [e2d170a0] DataValueInterfaces v1.0.0
  [244e2a9f] DefineSingletons v0.1.2
  [8bb1440f] DelimitedFiles v1.9.1
  [b429d917] DensityInterface v0.4.0
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [a0c0ee7d] DifferentiationInterface v0.7.3
  [b4f34e82] Distances v0.10.12
  [31c24e10] Distributions v0.25.120
  [ced4e74d] DistributionsAD v0.6.58
  [ffbed154] DocStringExtensions v0.9.5
  [bbc10e6e] DynamicHMC v3.5.1
  [366bfd00] DynamicPPL v0.36.15
  [cad2338a] EllipticalSliceSampling v2.0.0
  [4e289a0a] EnumX v1.0.5
  [e2ba6199] ExprTools v0.1.10
  [55351af7] ExproniconLite v0.10.14
  [7a1cc6ca] FFTW v1.9.0
  [9aa1b823] FastClosures v0.3.2
  [1a297f60] FillArrays v1.13.0
  [6a86dc24] FiniteDiff v2.27.0
  [26cc04aa] FiniteDifferences v0.12.32
  [f6369f11] ForwardDiff v1.0.1
  [069b7b12] FunctionWrappers v1.1.3
  [77dc65aa] FunctionWrappersWrappers v0.1.3
  [d9f16b24] Functors v0.5.2
  [46192b85] GPUArraysCore v0.2.0
  [34004b35] HypergeometricFunctions v0.3.28
  [09f84164] HypothesisTests v0.11.5
  [22cec73e] InitialValues v0.3.1
  [a98d9a8b] Interpolations v0.16.1
  [8197267c] IntervalSets v0.7.11
  [3587e190] InverseFunctions v0.1.17
  [41ab1584] InvertedIndices v1.3.1
  [92d709cd] IrrationalConstants v0.2.4
  [c8e1da08] IterTools v1.10.0
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.7.0
  [682c06a0] JSON v0.21.4
  [ae98c720] Jieko v0.2.1
  [5ab0869b] KernelDensity v0.6.10
  [5be7bae1] LBFGSB v0.4.1
  [8ac3fa9e] LRUCache v1.6.2
  [b964fa9f] LaTeXStrings v1.4.0
  [1fad7336] LazyStack v0.1.3
  [1d6d02ad] LeftChildRightSiblingTrees v0.2.0
⌅ [6f1fad26] Libtask v0.8.8
  [d3d80556] LineSearches v7.4.0
  [6fdf6af0] LogDensityProblems v2.1.2
  [996a588d] LogDensityProblemsAD v1.13.1
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.1.0
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  [d41bc354] NLSolversBase v7.10.0
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  [86f7a689] NamedArrays v0.10.4
  [c020b1a1] NaturalSort v1.0.0
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  [429524aa] Optim v1.13.2
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  [7f7a1694] Optimization v4.4.0
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  [90014a1f] PDMats v0.11.35
  [65ce6f38] PackageExtensionCompat v1.0.2
  [d96e819e] Parameters v0.12.3
  [69de0a69] Parsers v2.8.3
  [85a6dd25] PositiveFactorizations v0.2.4
  [aea7be01] PrecompileTools v1.3.2
  [21216c6a] Preferences v1.4.3
  [08abe8d2] PrettyTables v2.4.0
  [33c8b6b6] ProgressLogging v0.1.5
  [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
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  [c84ed2f1] Ratios v0.4.5
  [c1ae055f] RealDot v0.1.0
  [3cdcf5f2] RecipesBase v1.3.4
  [731186ca] RecursiveArrayTools v3.34.1
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.1
  [37e2e3b7] ReverseDiff v1.16.1
  [708f8203] Richardson v1.4.2
  [79098fc4] Rmath v0.8.0
  [f2b01f46] Roots v2.2.8
  [7e49a35a] RuntimeGeneratedFunctions v0.5.15
⌅ [26aad666] SSMProblems v0.1.1
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  [c0aeaf25] SciMLOperators v1.3.1
  [53ae85a6] SciMLStructures v1.7.0
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  [90137ffa] StaticArrays v1.9.14
  [1e83bf80] StaticArraysCore v1.4.3
  [64bff920] StatisticalTraits v3.5.0
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.1
  [2913bbd2] StatsBase v0.34.5
  [4c63d2b9] StatsFuns v1.5.0
  [5e0ebb24] Strided v2.3.2
  [4db3bf67] StridedViews v0.4.1
  [892a3eda] StringManipulation v0.4.1
  [09ab397b] StructArrays v0.7.1
  [2efcf032] SymbolicIndexingInterface v0.3.41
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.1
  [02d47bb6] TensorCast v0.4.9
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  [9d95972d] TupleTools v1.6.0
  [fce5fe82] Turing v0.39.5
  [3a884ed6] UnPack v1.0.2
  [efce3f68] WoodburyMatrices v1.0.0
  [700de1a5] ZygoteRules v0.2.7
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  [81d17ec3] L_BFGS_B_jll v3.0.1+0
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  [9fa8497b] Future v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
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  [a63ad114] Mmap v1.11.0
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  [4607b0f0] SuiteSparse
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  [e66e0078] CompilerSupportLibraries_jll v1.3.0+1
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  [3f19e933] p7zip_jll v17.5.0+2
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading.
     Testing Running tests...
Precompiling packages...
  22609.0 ms  ✓ Turing → TuringOptimExt
  1 dependency successfully precompiled in 26 seconds. 297 already precompiled.
Precompiling packages...
   6748.2 ms  ✓ HypothesisTests
  1 dependency successfully precompiled in 8 seconds. 61 already precompiled.
[ Info: [Turing]: progress logging is disabled globally

Persistent tasks: Test Failed at /home/pkgeval/.julia/packages/Aqua/1UuaV/src/persistent_tasks.jl:38
  Expression: !(has_persistent_tasks(package; kwargs...))
   Evaluated: !(has_persistent_tasks(Base.PkgId(Base.UUID("fce5fe82-541a-59a6-adf8-730c64b5f9a0"), "Turing")))
  Stacktrace:
   [1] macro expansion
     @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:741 [inlined]
   [2] test_persistent_tasks(package::Base.PkgId; broken::Bool, kwargs::@Kwargs{})
     @ Aqua ~/.julia/packages/Aqua/1UuaV/src/persistent_tasks.jl:38
   [3] test_persistent_tasks
     @ ~/.julia/packages/Aqua/1UuaV/src/persistent_tasks.jl:34 [inlined]
   [4] #test_persistent_tasks#57
     @ ~/.julia/packages/Aqua/1UuaV/src/persistent_tasks.jl:43 [inlined]
   [5] test_persistent_tasks
     @ ~/.julia/packages/Aqua/1UuaV/src/persistent_tasks.jl:42 [inlined]
   [6] macro expansion
     @ ~/.julia/packages/Aqua/1UuaV/src/Aqua.jl:109 [inlined]
   [7] macro expansion
     @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1855 [inlined]
   [8] test_all(testtarget::Module; ambiguities::Bool, unbound_args::Bool, undefined_exports::Bool, project_extras::Bool, stale_deps::Bool, deps_compat::Bool, piracies::Bool, persistent_tasks::Bool, undocumented_names::Bool)
     @ Aqua ~/.julia/packages/Aqua/1UuaV/src/Aqua.jl:109
Precompiling packages...
  57545.7 ms  ✓ ReverseDiff
  1 dependency successfully precompiled in 58 seconds. 32 already precompiled.
Precompiling packages...
  23122.1 ms  ✓ DistributionsAD → DistributionsADReverseDiffExt
  1 dependency successfully precompiled in 25 seconds. 91 already precompiled.
Precompiling packages...
  22020.3 ms  ✓ Bijectors → BijectorsReverseDiffExt
  1 dependency successfully precompiled in 24 seconds. 91 already precompiled.
Precompiling packages...
  15139.4 ms  ✓ LogDensityProblemsAD → LogDensityProblemsADReverseDiffExt
  1 dependency successfully precompiled in 16 seconds. 37 already precompiled.
Precompiling packages...
  13505.3 ms  ✓ ArrayInterface → ArrayInterfaceReverseDiffExt
  1 dependency successfully precompiled in 14 seconds. 39 already precompiled.
Precompiling packages...
  13232.4 ms  ✓ DifferentiationInterface → DifferentiationInterfaceReverseDiffExt
  13580.6 ms  ✓ OptimizationBase → OptimizationReverseDiffExt
  2 dependencies successfully precompiled in 28 seconds. 121 already precompiled.
Precompiling packages...
  21724.8 ms  ✓ Bijectors → BijectorsReverseDiffChainRulesExt
  1 dependency successfully precompiled in 25 seconds. 111 already precompiled.
[ Info: Testing AD for Turing.Inference.HMC{ADTypes.AutoForwardDiff{nothing, Nothing}, AdvancedHMC.UnitEuclideanMetric}(0.1, 10, ADTypes.AutoForwardDiff())
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_index_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_multivariate_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_multivariate_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_submodel_observe_index_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_dot_assume_observe_submodel with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_matrix_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_matrix_observe_matrix_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing AD for Turing.Inference.HMCDA{ADTypes.AutoForwardDiff{nothing, Nothing}, AdvancedHMC.UnitEuclideanMetric}(-1, 0.8, 0.75, 0.0, ADTypes.AutoForwardDiff())
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_index_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_multivariate_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_multivariate_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_submodel_observe_index_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_dot_assume_observe_submodel with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_matrix_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_matrix_observe_matrix_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing AD for Turing.Inference.NUTS{ADTypes.AutoForwardDiff{nothing, Nothing}, AdvancedHMC.DiagEuclideanMetric}(1000, 0.8, 10, 1000.0, 0.0, ADTypes.AutoForwardDiff())
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_index_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_multivariate_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_multivariate_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_submodel_observe_index_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_dot_assume_observe_submodel with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_matrix_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_matrix_observe_matrix_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing AD for Turing.Inference.SGHMC{ADTypes.AutoForwardDiff{nothing, Nothing}, Float64}(0.02, 0.5, ADTypes.AutoForwardDiff())
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_index_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_multivariate_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_multivariate_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_submodel_observe_index_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_dot_assume_observe_submodel with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_matrix_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_matrix_observe_matrix_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing AD for Turing.Inference.SGLD{ADTypes.AutoForwardDiff{nothing, Nothing}, Turing.Inference.PolynomialStepsize{Float64}}(Turing.Inference.PolynomialStepsize{Float64}(0.25, 0.0, 0.55), ADTypes.AutoForwardDiff())
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_index_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_multivariate_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_multivariate_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_submodel_observe_index_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_dot_assume_observe_submodel with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_matrix_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_matrix_observe_matrix_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing AD for Turing.Inference.HMC{ADTypes.AutoReverseDiff{false}, AdvancedHMC.UnitEuclideanMetric}(0.1, 10, ADTypes.AutoReverseDiff())
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_index_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_multivariate_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_multivariate_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_submodel_observe_index_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_dot_assume_observe_submodel with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_matrix_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_matrix_observe_matrix_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing AD for Turing.Inference.HMCDA{ADTypes.AutoReverseDiff{false}, AdvancedHMC.UnitEuclideanMetric}(-1, 0.8, 0.75, 0.0, ADTypes.AutoReverseDiff())
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_index_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_multivariate_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_multivariate_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_submodel_observe_index_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_dot_assume_observe_submodel with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_matrix_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_matrix_observe_matrix_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing AD for Turing.Inference.NUTS{ADTypes.AutoReverseDiff{false}, AdvancedHMC.DiagEuclideanMetric}(1000, 0.8, 10, 1000.0, 0.0, ADTypes.AutoReverseDiff())
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_index_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_multivariate_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_multivariate_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_submodel_observe_index_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_dot_assume_observe_submodel with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_matrix_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_matrix_observe_matrix_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing AD for Turing.Inference.SGHMC{ADTypes.AutoReverseDiff{false}, Float64}(0.02, 0.5, ADTypes.AutoReverseDiff())
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_index_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_multivariate_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_multivariate_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_submodel_observe_index_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_dot_assume_observe_submodel with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_matrix_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_matrix_observe_matrix_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing AD for Turing.Inference.SGLD{ADTypes.AutoReverseDiff{false}, Turing.Inference.PolynomialStepsize{Float64}}(Turing.Inference.PolynomialStepsize{Float64}(0.25, 0.0, 0.55), ADTypes.AutoReverseDiff())
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_index_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_multivariate_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_multivariate_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_index_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_assume_dot_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Running AD on demo_assume_submodel_observe_index_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Running AD on demo_dot_assume_observe_submodel with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_dot_assume_observe_matrix_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Running AD on demo_assume_matrix_observe_matrix_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe, varnames=[s]
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe, varnames=[m]
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_assume_index_observe, varnames=[s]
[ Info: Running AD on demo_assume_index_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_assume_index_observe, varnames=[m]
[ Info: Running AD on demo_assume_index_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_assume_multivariate_observe, varnames=[s]
[ Info: Running AD on demo_assume_multivariate_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_assume_multivariate_observe, varnames=[m]
[ Info: Running AD on demo_assume_multivariate_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_index, varnames=[s]
[ Info: Running AD on demo_dot_assume_observe_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_index, varnames=[m]
[ Info: Running AD on demo_dot_assume_observe_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Testing Gibbs AD with model=demo_assume_dot_observe, varnames=[s]
[ Info: Running AD on demo_assume_dot_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Testing Gibbs AD with model=demo_assume_dot_observe, varnames=[m]
[ Info: Running AD on demo_assume_dot_observe with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Testing Gibbs AD with model=demo_assume_multivariate_observe_literal, varnames=[s]
[ Info: Running AD on demo_assume_multivariate_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_assume_multivariate_observe_literal, varnames=[m]
[ Info: Running AD on demo_assume_multivariate_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_index_literal, varnames=[s]
[ Info: Running AD on demo_dot_assume_observe_index_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_index_literal, varnames=[m]
[ Info: Running AD on demo_dot_assume_observe_index_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Testing Gibbs AD with model=demo_assume_dot_observe_literal, varnames=[s]
[ Info: Running AD on demo_assume_dot_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Testing Gibbs AD with model=demo_assume_dot_observe_literal, varnames=[m]
[ Info: Running AD on demo_assume_dot_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Testing Gibbs AD with model=demo_assume_observe_literal, varnames=[s]
[ Info: Running AD on demo_assume_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Testing Gibbs AD with model=demo_assume_observe_literal, varnames=[m]
[ Info: Running AD on demo_assume_observe_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Testing Gibbs AD with model=demo_assume_submodel_observe_index_literal, varnames=[s]
[ Info: Running AD on demo_assume_submodel_observe_index_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Testing Gibbs AD with model=demo_assume_submodel_observe_index_literal, varnames=[m]
[ Info: Running AD on demo_assume_submodel_observe_index_literal with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_submodel, varnames=[s]
[ Info: Running AD on demo_dot_assume_observe_submodel with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_submodel, varnames=[m]
[ Info: Running AD on demo_dot_assume_observe_submodel with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_matrix_index, varnames=[s]
[ Info: Running AD on demo_dot_assume_observe_matrix_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_matrix_index, varnames=[m]
[ Info: Running AD on demo_dot_assume_observe_matrix_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_assume_matrix_observe_matrix_index, varnames=[s]
[ Info: Running AD on demo_assume_matrix_observe_matrix_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_assume_matrix_observe_matrix_index, varnames=[m]
[ Info: Running AD on demo_assume_matrix_observe_matrix_index with ADTypes.AutoForwardDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe, varnames=[s]
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe, varnames=[m]
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_assume_index_observe, varnames=[s]
[ Info: Running AD on demo_assume_index_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_assume_index_observe, varnames=[m]
[ Info: Running AD on demo_assume_index_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_assume_multivariate_observe, varnames=[s]
[ Info: Running AD on demo_assume_multivariate_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_assume_multivariate_observe, varnames=[m]
[ Info: Running AD on demo_assume_multivariate_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_index, varnames=[s]
[ Info: Running AD on demo_dot_assume_observe_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_index, varnames=[m]
[ Info: Running AD on demo_dot_assume_observe_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Testing Gibbs AD with model=demo_assume_dot_observe, varnames=[s]
[ Info: Running AD on demo_assume_dot_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Testing Gibbs AD with model=demo_assume_dot_observe, varnames=[m]
[ Info: Running AD on demo_assume_dot_observe with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Testing Gibbs AD with model=demo_assume_multivariate_observe_literal, varnames=[s]
[ Info: Running AD on demo_assume_multivariate_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_assume_multivariate_observe_literal, varnames=[m]
[ Info: Running AD on demo_assume_multivariate_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_index_literal, varnames=[s]
[ Info: Running AD on demo_dot_assume_observe_index_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_index_literal, varnames=[m]
[ Info: Running AD on demo_dot_assume_observe_index_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Testing Gibbs AD with model=demo_assume_dot_observe_literal, varnames=[s]
[ Info: Running AD on demo_assume_dot_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Testing Gibbs AD with model=demo_assume_dot_observe_literal, varnames=[m]
[ Info: Running AD on demo_assume_dot_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Testing Gibbs AD with model=demo_assume_observe_literal, varnames=[s]
[ Info: Running AD on demo_assume_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Testing Gibbs AD with model=demo_assume_observe_literal, varnames=[m]
[ Info: Running AD on demo_assume_observe_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 1.8770958195241771]
       actual : (-7.9593727010446225, [-2.782720277429388, -0.31582720472901354])
     expected : (-7.9593727010446225, [-2.7827202774293887, -0.31582720472901354])
[ Info: Testing Gibbs AD with model=demo_assume_submodel_observe_index_literal, varnames=[s]
[ Info: Running AD on demo_assume_submodel_observe_index_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Testing Gibbs AD with model=demo_assume_submodel_observe_index_literal, varnames=[m]
[ Info: Running AD on demo_assume_submodel_observe_index_literal with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679436, 0.9669977815528041, 0.11182461275017175])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_submodel, varnames=[s]
[ Info: Running AD on demo_dot_assume_observe_submodel with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_submodel, varnames=[m]
[ Info: Running AD on demo_dot_assume_observe_submodel with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_matrix_index, varnames=[s]
[ Info: Running AD on demo_dot_assume_observe_matrix_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_dot_assume_observe_matrix_index, varnames=[m]
[ Info: Running AD on demo_dot_assume_observe_matrix_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_assume_matrix_observe_matrix_index, varnames=[s]
[ Info: Running AD on demo_assume_matrix_observe_matrix_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing Gibbs AD with model=demo_assume_matrix_observe_matrix_index, varnames=[m]
[ Info: Running AD on demo_assume_matrix_observe_matrix_index with ADTypes.AutoReverseDiff()
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679439, 0.9669977815528041, 0.11182461275017175])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])

======================================================================================
Information request received. A stacktrace will print followed by a 1.0 second profile
======================================================================================

cmd: /opt/julia/bin/julia 475 running 1 of 1

signal (10): User defined signal 1
obvious_subtype at /source/src/subtype.c:1961
obvious_subtype at /source/src/subtype.c:1938 [inlined]
obvious_subtype at /source/src/subtype.c:2134
obvious_subtype at /source/src/subtype.c:1938 [inlined]
obvious_subtype at /source/src/subtype.c:1944
obvious_subtype at /source/src/subtype.c:2078
obvious_subtype at /source/src/subtype.c:1938 [inlined]
obvious_subtype at /source/src/subtype.c:2134
obvious_subtype at /source/src/subtype.c:1938 [inlined]
obvious_subtype at /source/src/subtype.c:1971
obvious_subtype at /source/src/subtype.c:1938 [inlined]
obvious_subtype at /source/src/subtype.c:2134
obvious_subtype at /source/src/subtype.c:1938 [inlined]
obvious_subtype at /source/src/subtype.c:2134
ijl_types_equal at /source/src/subtype.c:2344 [inlined]
ijl_types_equal at /source/src/subtype.c:2321
jl_specializations_get_linfo_ at /source/src/gf.c:237
#specialize_method#9 at ./runtime_internals.jl:1749 [inlined]
specialize_method at ./runtime_internals.jl:1736 [inlined]
typeinf_edge at ./../usr/share/julia/Compiler/src/typeinfer.jl:1029
abstract_call_method at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:735
infercalls at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:167
abstract_call_gf_by_type at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:338
abstract_call_known at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2796
abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2903
abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2896 [inlined]
abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3056
abstract_eval_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3074 [inlined]
abstract_eval_statement_expr at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3430
abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3855 [inlined]
abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3812 [inlined]
typeinf_local at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4361
jfptr_typeinf_local_85037.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4519
typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1378
typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1561 [inlined]
typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1570
jfptr_typeinf_ext_toplevel_83975.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
jl_apply at /source/src/julia.h:2345 [inlined]
jl_type_infer at /source/src/gf.c:462
jl_compile_method_internal at /source/src/gf.c:3292
_jl_invoke at /source/src/gf.c:3785 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
#initialstep#30 at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/hmc.jl:210
initialstep at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/hmc.jl:175
unknown function (ip: 0x79eaae10a7ae) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
#step#59 at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:125
step at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:108
unknown function (ip: 0x79eab23fb427) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
#gibbs_initialstep_recursive#73 at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/gibbs.jl:443
unknown function (ip: 0x79eab23f5493) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
gibbs_initialstep_recursive at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/gibbs.jl:413
gibbs_initialstep_recursive at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/gibbs.jl:413
unknown function (ip: 0x79eab23ef9b7) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
#step#71 at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/gibbs.jl:367
step at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/gibbs.jl:355 [inlined]
macro expansion at /home/pkgeval/.julia/packages/AbstractMCMC/F50rb/src/sample.jl:161 [inlined]
macro expansion at /home/pkgeval/.julia/packages/AbstractMCMC/F50rb/src/logging.jl:16 [inlined]
#mcmcsample#23 at /home/pkgeval/.julia/packages/AbstractMCMC/F50rb/src/sample.jl:144
mcmcsample at /home/pkgeval/.julia/packages/AbstractMCMC/F50rb/src/sample.jl:109
unknown function (ip: 0x79eab23e0c03) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
#sample#58 at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:102
sample at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:92 [inlined]
#sample#106 at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/abstractmcmc.jl:29 [inlined]
sample at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/abstractmcmc.jl:20 [inlined]
#sample#105 at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/abstractmcmc.jl:17 [inlined]
sample at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/abstractmcmc.jl:14
unknown function (ip: 0x79eab23dc95b) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:738 [inlined]
macro expansion at /home/pkgeval/.julia/packages/Turing/ay4xM/test/ad.jl:301 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1944 [inlined]
macro expansion at /home/pkgeval/.julia/packages/Turing/ay4xM/test/ad.jl:300 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1944 [inlined]
macro expansion at /home/pkgeval/.julia/packages/Turing/ay4xM/test/ad.jl:295 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1855 [inlined]
top-level scope at /home/pkgeval/.julia/packages/Turing/ay4xM/test/ad.jl:295
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_invoke at /source/src/gf.c:3800
jl_toplevel_eval_flex at /source/src/toplevel.c:762
jl_eval_module_expr at /source/src/toplevel.c:196 [inlined]
jl_toplevel_eval_flex at /source/src/toplevel.c:658
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
include_string at ./loading.jl:2848
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
_include at ./loading.jl:2908
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
unknown function (ip: 0x79eaeca6b342) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
jl_apply at /source/src/julia.h:2345 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:708
eval_body at /source/src/interpreter.c:558
eval_body at /source/src/interpreter.c:558
eval_body at /source/src/interpreter.c:558
eval_body at /source/src/interpreter.c:558
eval_body at /source/src/interpreter.c:558
jl_interpret_toplevel_thunk at /source/src/interpreter.c:899
jl_toplevel_eval_flex at /source/src/toplevel.c:773
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
include_string at ./loading.jl:2848
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
_include at ./loading.jl:2908
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
jfptr_IncludeInto_44279.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
jl_apply at /source/src/julia.h:2345 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:708
jl_interpret_toplevel_thunk at /source/src/interpreter.c:899
jl_toplevel_eval_flex at /source/src/toplevel.c:773
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
exec_options at ./client.jl:286
_start at ./client.jl:553
jfptr__start_68801.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
jl_apply at /source/src/julia.h:2345 [inlined]
true_main at /source/src/jlapi.c:971
jl_repl_entrypoint at /source/src/jlapi.c:1138
main at /source/cli/loader_exe.c:58
unknown function (ip: 0x79eaeddea249) at /lib/x86_64-linux-gnu/libc.so.6
__libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S
unknown function (ip: (nil)) at (unknown file)

==============================================================
Profile collected. A report will print at the next yield point
==============================================================


======================================================================================
Information request received. A stacktrace will print followed by a 1.0 second profile
======================================================================================

cmd: /opt/julia/bin/julia 1 running 0 of 1

signal (10): User defined signal 1
epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404
uv_run at /workspace/srcdir/libuv/src/unix/core.c:430
ijl_task_get_next at /source/src/scheduler.c:457
wait at ./task.jl:1192
wait_forever at ./task.jl:1129
jfptr_wait_forever_36162.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
jl_apply at /source/src/julia.h:2345 [inlined]
start_task at /source/src/task.c:1249
unknown function (ip: (nil)) at (unknown file)

==============================================================
Profile collected. A report will print at the next yield point
==============================================================

┌ Warning: There were no samples collected in one or more groups.
│ This may be due to idle threads, or you may need to run your
│ program longer (perhaps by running it multiple times),
│ or adjust the delay between samples with `Profile.init()`.
└ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362
Overhead ╎ [+additional indent] Count File:Line  Function
=========================================================
Thread 1 (default) Task 0x000078535894cb50 Total snapshots: 440. Utilization: 0%
   ╎440 @Base/task.jl:1129  wait_forever()
439╎ 440 @Base/task.jl:1192  wait()


[1] signal 15: Terminated
in expression starting at /PkgEval.jl/scripts/evaluate.jl:210
epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404
uv_run at /workspace/srcdir/libuv/src/unix/core.c:430
ijl_task_get_next at /source/src/scheduler.c:457
wait at ./task.jl:1192
wait_forever at ./task.jl:1129
jfptr_wait_forever_36162.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
jl_apply at /source/src/julia.h:2345 [inlined]
start_task at /source/src/task.c:1249
unknown function (ip: (nil)) at (unknown file)
Allocations: 27049307 (Pool: 27048677; Big: 630); GC: 27

[475] signal 15: Terminated
in expression starting at /home/pkgeval/.julia/packages/Turing/ay4xM/test/ad.jl:293
_ZN4llvm19SmallPtrSetImplBase14insert_imp_bigEPKv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm15SmallPtrSetImplIPNS_11InstructionEE6insertES2_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN12_GLOBAL__N_18Verifier16visitInstructionERN4llvm11InstructionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN12_GLOBAL__N_18Verifier6verifyERKN4llvm8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm12verifyModuleERKNS_6ModuleEPNS_11raw_ostreamEPb at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm16VerifierAnalysis3runERNS_6ModuleERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm6detail17AnalysisPassModelINS_6ModuleENS_16VerifierAnalysisENS_15AnalysisManagerIS2_JEE11InvalidatorEJEE3runERS2_RS5_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm15AnalysisManagerINS_6ModuleEJEE13getResultImplEPNS_11AnalysisKeyERS1_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm12VerifierPass3runERNS_6ModuleERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
run at /source/usr/include/llvm/IR/PassManagerInternal.h:91
_ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
run at /source/src/pipeline.cpp:791
operator() at /source/src/jitlayers.cpp:1518
withModuleDo<(anonymous namespace)::sizedOptimizerT<N>::operator()(llvm::orc::ThreadSafeModule) [with long unsigned int N = 4]::<lambda(llvm::Module&)> > at /source/usr/include/llvm/ExecutionEngine/Orc/ThreadSafeModule.h:136 [inlined]
operator() at /source/src/jitlayers.cpp:1479 [inlined]
operator() at /source/src/jitlayers.cpp:1631 [inlined]
addModule at /source/src/jitlayers.cpp:2088
jl_compile_codeinst_now at /source/src/jitlayers.cpp:683
jl_compile_codeinst_impl at /source/src/jitlayers.cpp:883
jl_compile_method_internal at /source/src/gf.c:3305
_jl_invoke at /source/src/gf.c:3785 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
logdensity_and_gradient at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/logdensityfunction.jl:234
#_#58 at ./operators.jl:1194 [inlined]
Fix at ./operators.jl:1194 [inlined]
∂H∂θ at /home/pkgeval/.julia/packages/AdvancedHMC/PZso2/src/hamiltonian.jl:46
phasepoint at /home/pkgeval/.julia/packages/AdvancedHMC/PZso2/src/hamiltonian.jl:103
phasepoint at /home/pkgeval/.julia/packages/AdvancedHMC/PZso2/src/hamiltonian.jl:185 [inlined]
#find_initial_params#29 at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/hmc.jl:156
find_initial_params at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/hmc.jl:145
unknown function (ip: 0x79eaae15088c) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
#initialstep#30 at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/hmc.jl:210
initialstep at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/hmc.jl:175
unknown function (ip: 0x79eaae14bdee) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
#step#59 at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:125
step at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:108
unknown function (ip: 0x79eaae145097) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
#gibbs_initialstep_recursive#73 at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/gibbs.jl:443
unknown function (ip: 0x79eaae13a628) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
gibbs_initialstep_recursive at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/gibbs.jl:413
unknown function (ip: 0x79eaae1368fe) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
#gibbs_initialstep_recursive#73 at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/gibbs.jl:460
unknown function (ip: 0x79eab23f5493) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
gibbs_initialstep_recursive at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/gibbs.jl:413
gibbs_initialstep_recursive at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/gibbs.jl:413
unknown function (ip: 0x79eab23ef9b7) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
#step#71 at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/gibbs.jl:367
step at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/gibbs.jl:355 [inlined]
macro expansion at /home/pkgeval/.julia/packages/AbstractMCMC/F50rb/src/sample.jl:161 [inlined]
macro expansion at /home/pkgeval/.julia/packages/AbstractMCMC/F50rb/src/logging.jl:16 [inlined]
#mcmcsample#23 at /home/pkgeval/.julia/packages/AbstractMCMC/F50rb/src/sample.jl:144
mcmcsample at /home/pkgeval/.julia/packages/AbstractMCMC/F50rb/src/sample.jl:109
unknown function (ip: 0x79eab23e0c03) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
#sample#58 at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:102
sample at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:92 [inlined]
#sample#106 at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/abstractmcmc.jl:29 [inlined]
sample at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/abstractmcmc.jl:20 [inlined]
#sample#105 at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/abstractmcmc.jl:17 [inlined]
sample at /home/pkgeval/.julia/packages/Turing/ay4xM/src/mcmc/abstractmcmc.jl:14
unknown function (ip: 0x79eab23dc95b) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:738 [inlined]
macro expansion at /home/pkgeval/.julia/packages/Turing/ay4xM/test/ad.jl:301 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1944 [inlined]
macro expansion at /home/pkgeval/.julia/packages/Turing/ay4xM/test/ad.jl:300 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1944 [inlined]
macro expansion at /home/pkgeval/.julia/packages/Turing/ay4xM/test/ad.jl:295 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1855 [inlined]
top-level scope at /home/pkgeval/.julia/packages/Turing/ay4xM/test/ad.jl:295
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_invoke at /source/src/gf.c:3800
jl_toplevel_eval_flex at /source/src/toplevel.c:762
jl_eval_module_expr at /source/src/toplevel.c:196 [inlined]
jl_toplevel_eval_flex at /source/src/toplevel.c:658
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
include_string at ./loading.jl:2848
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
_include at ./loading.jl:2908
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
unknown function (ip: 0x79eaeca6b342) at (unknown file)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
jl_apply at /source/src/julia.h:2345 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:708
eval_body at /source/src/interpreter.c:558
eval_body at /source/src/interpreter.c:558
eval_body at /source/src/interpreter.c:558
eval_body at /source/src/interpreter.c:558
eval_body at /source/src/interpreter.c:558
jl_interpret_toplevel_thunk at /source/src/interpreter.c:899
jl_toplevel_eval_flex at /source/src/toplevel.c:773
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
include_string at ./loading.jl:2848
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
_include at ./loading.jl:2908
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
jfptr_IncludeInto_44279.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
jl_apply at /source/src/julia.h:2345 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:708
jl_interpret_toplevel_thunk at /source/src/interpreter.c:899
jl_toplevel_eval_flex at /source/src/toplevel.c:773
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
exec_options at ./client.jl:286
_start at ./client.jl:553
jfptr__start_68801.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3793 [inlined]
ijl_apply_generic at /source/src/gf.c:3993
jl_apply at /source/src/julia.h:2345 [inlined]
true_main at /source/src/jlapi.c:971
jl_repl_entrypoint at /source/src/jlapi.c:1138
main at /source/cli/loader_exe.c:58
unknown function (ip: 0x79eaeddea249) at /lib/x86_64-linux-gnu/libc.so.6
__libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S
unknown function (ip: (nil)) at (unknown file)
Allocations: 685187728 (Pool: 685183418; Big: 4310); GC: 147

PkgEval terminated after 2734.61s: test duration exceeded the time limit