Package evaluation of Turing on Julia 1.10.9 (96dc2d8c45*) started at 2025-06-06T23:32:17.755


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

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 5.13s


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

Installing Turing...
   Resolving package versions...
    Updating `~/.julia/environments/v1.10/Project.toml`
  [fce5fe82] + Turing v0.39.0
    Updating `~/.julia/environments/v1.10/Manifest.toml`
  [47edcb42] + ADTypes v1.14.0
  [621f4979] + AbstractFFTs v1.5.0
  [80f14c24] + AbstractMCMC v5.6.2
  [7a57a42e] + AbstractPPL v0.11.0
  [1520ce14] + AbstractTrees v0.4.5
  [7d9f7c33] + Accessors v0.1.42
  [79e6a3ab] + Adapt v4.3.0
  [0bf59076] + AdvancedHMC v0.8.0
  [5b7e9947] + AdvancedMH v0.8.7
  [576499cb] + AdvancedPS v0.6.2
  [b5ca4192] + AdvancedVI v0.4.0
  [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 v0.15.7
  [082447d4] + ChainRules v1.72.4
  [d360d2e6] + ChainRulesCore v1.25.1
  [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 v4.16.0
  [a33af91c] + CompositionsBase v0.1.2
  [88cd18e8] + ConsoleProgressMonitor v0.1.2
  [187b0558] + ConstructionBase v1.5.8
  [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 v0.6.54
  [31c24e10] + Distributions v0.25.120
  [ced4e74d] + DistributionsAD v0.6.58
  [ffbed154] + DocStringExtensions v0.9.4
  [366bfd00] + DynamicPPL v0.36.10
  [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 v0.10.38
  [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 v0.15.1
  [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 v0.6.9
  [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 v7.3.0
  [6fdf6af0] + LogDensityProblems v2.1.2
  [996a588d] + LogDensityProblemsAD v1.13.0
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [e6f89c97] + LoggingExtras v1.1.0
⌃ [c7f686f2] + MCMCChains v6.0.7
  [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 v0.3.5
  [d41bc354] + NLSolversBase v7.9.1
  [77ba4419] + NaNMath v1.1.3
  [86f7a689] + NamedArrays v0.10.4
  [c020b1a1] + NaturalSort v1.0.0
  [6fe1bfb0] + OffsetArrays v1.17.0
  [429524aa] + Optim v1.12.0
  [3bd65402] + Optimisers v0.4.6
  [7f7a1694] + Optimization v4.3.0
⌃ [bca83a33] + OptimizationBase v2.7.0
  [36348300] + OptimizationOptimJL v0.4.3
  [bac558e1] + OrderedCollections v1.8.1
  [90014a1f] + PDMats v0.11.35
  [d96e819e] + Parameters v0.12.3
  [69de0a69] + Parsers v2.8.3
  [85a6dd25] + PositiveFactorizations v0.2.4
⌅ [aea7be01] + PrecompileTools v1.2.1
  [21216c6a] + Preferences v1.4.3
  [08abe8d2] + PrettyTables v2.4.0
  [33c8b6b6] + ProgressLogging v0.1.4
  [92933f4c] + ProgressMeter v1.10.4
  [43287f4e] + PtrArrays v1.3.0
  [1fd47b50] + QuadGK v2.11.2
  [74087812] + Random123 v1.7.1
  [e6cf234a] + RandomNumbers v1.6.0
  [b3c3ace0] + RangeArrays v0.3.2
  [c84ed2f1] + Ratios v0.4.5
  [c1ae055f] + RealDot v0.1.0
  [3cdcf5f2] + RecipesBase v1.3.4
  [731186ca] + RecursiveArrayTools v3.33.0
  [189a3867] + Reexport v1.2.2
  [ae029012] + Requires v1.3.1
  [79098fc4] + Rmath v0.8.0
  [f2b01f46] + Roots v2.2.7
  [7e49a35a] + RuntimeGeneratedFunctions v0.5.15
  [26aad666] + SSMProblems v0.5.0
  [0bca4576] + SciMLBase v2.97.0
  [c0aeaf25] + SciMLOperators v1.3.1
  [53ae85a6] + SciMLStructures v1.7.0
  [30f210dd] + ScientificTypesBase v3.0.0
  [efcf1570] + Setfield v1.1.2
  [a2af1166] + SortingAlgorithms v1.2.1
  [9f842d2f] + SparseConnectivityTracer v0.6.19
  [dc90abb0] + SparseInverseSubset v0.1.2
  [0a514795] + SparseMatrixColorings v0.4.20
  [276daf66] + SpecialFunctions v2.5.1
  [171d559e] + SplittablesBase v0.1.15
  [90137ffa] + StaticArrays v1.9.13
  [1e83bf80] + StaticArraysCore v1.4.3
  [64bff920] + StatisticalTraits v3.4.0
  [82ae8749] + StatsAPI v1.7.1
  [2913bbd2] + StatsBase v0.34.5
  [4c63d2b9] + StatsFuns v1.5.0
  [892a3eda] + StringManipulation v0.4.1
  [09ab397b] + StructArrays v0.7.1
  [2efcf032] + SymbolicIndexingInterface v0.3.40
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.12.1
  [5d786b92] + TerminalLoggers v0.1.7
  [28d57a85] + Transducers v0.4.84
  [fce5fe82] + Turing v0.39.0
  [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 v1.1.1
  [56f22d72] + Artifacts
  [2a0f44e3] + Base64
  [ade2ca70] + Dates
  [8ba89e20] + Distributed
  [f43a241f] + Downloads v1.6.0
  [7b1f6079] + FileWatching
  [9fa8497b] + Future
  [b77e0a4c] + InteractiveUtils
  [4af54fe1] + LazyArtifacts
  [b27032c2] + LibCURL v0.6.4
  [76f85450] + LibGit2
  [8f399da3] + Libdl
  [37e2e46d] + LinearAlgebra
  [56ddb016] + Logging
  [d6f4376e] + Markdown
  [a63ad114] + Mmap
  [ca575930] + NetworkOptions v1.2.0
  [44cfe95a] + Pkg v1.10.0
  [de0858da] + Printf
  [3fa0cd96] + REPL
  [9a3f8284] + Random
  [ea8e919c] + SHA v0.7.0
  [9e88b42a] + Serialization
  [1a1011a3] + SharedArrays
  [6462fe0b] + Sockets
  [2f01184e] + SparseArrays v1.10.0
  [10745b16] + Statistics v1.10.0
  [4607b0f0] + SuiteSparse
  [fa267f1f] + TOML v1.0.3
  [a4e569a6] + Tar v1.10.0
  [8dfed614] + Test
  [cf7118a7] + UUIDs
  [4ec0a83e] + Unicode
  [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0
  [deac9b47] + LibCURL_jll v8.4.0+0
  [e37daf67] + LibGit2_jll v1.6.4+0
  [29816b5a] + LibSSH2_jll v1.11.0+1
  [c8ffd9c3] + MbedTLS_jll v2.28.2+1
  [14a3606d] + MozillaCACerts_jll v2023.1.10
  [4536629a] + OpenBLAS_jll v0.3.23+4
  [05823500] + OpenLibm_jll v0.8.5+0
  [bea87d4a] + SuiteSparse_jll v7.2.1+1
  [83775a58] + Zlib_jll v1.2.13+1
  [8e850b90] + libblastrampoline_jll v5.11.0+0
  [8e850ede] + nghttp2_jll v1.52.0+1
  [3f19e933] + p7zip_jll v17.4.0+2
        Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`

Installation completed after 9.45s


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

Precompiling PkgEval dependencies...

┌ Warning: Could not use exact versions of packages in manifest, re-resolving
└ @ TestEnv ~/.julia/packages/TestEnv/iS95e/src/julia-1.9/activate_set.jl:63
Precompiling package dependencies...

Precompilation completed after 745.44s


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

     Testing Turing
┌ Warning: Could not use exact versions of packages in manifest, re-resolving
└ @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1829
      Status `/tmp/jl_uC49Un/Project.toml`
  [47edcb42] ADTypes v1.14.0
  [80f14c24] AbstractMCMC v5.6.2
  [7a57a42e] AbstractPPL v0.11.0
  [5b7e9947] AdvancedMH v0.8.7
⌅ [576499cb] AdvancedPS v0.6.0
  [b5ca4192] AdvancedVI v0.4.0
  [4c88cf16] Aqua v0.8.13
  [198e06fe] BangBang v0.4.4
  [76274a88] Bijectors v0.15.7
  [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 v0.36.10
  [26cc04aa] FiniteDifferences v0.12.32
⌃ [f6369f11] ForwardDiff v0.10.38
  [09f84164] HypothesisTests v0.11.5
  [6fdf6af0] LogDensityProblems v2.1.2
  [996a588d] LogDensityProblemsAD v1.13.0
⌃ [c7f686f2] MCMCChains v6.0.7
  [86f7a689] NamedArrays v0.10.4
  [429524aa] Optim v1.12.0
  [7f7a1694] Optimization v4.3.0
  [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 v0.39.0
  [37e2e46d] LinearAlgebra
  [44cfe95a] Pkg v1.10.0
  [9a3f8284] Random
  [8dfed614] Test
      Status `/tmp/jl_uC49Un/Manifest.toml`
  [47edcb42] ADTypes v1.14.0
  [621f4979] AbstractFFTs v1.5.0
  [80f14c24] AbstractMCMC v5.6.2
  [7a57a42e] AbstractPPL v0.11.0
  [1520ce14] AbstractTrees v0.4.5
  [7d9f7c33] Accessors v0.1.42
  [79e6a3ab] Adapt v4.3.0
  [0bf59076] AdvancedHMC v0.8.0
  [5b7e9947] AdvancedMH v0.8.7
⌅ [576499cb] AdvancedPS v0.6.0
  [b5ca4192] AdvancedVI v0.4.0
  [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 v0.15.7
  [a134a8b2] BlackBoxOptim v0.6.3
  [fa961155] CEnum v0.5.0
  [a9c8d775] CPUTime v1.0.0
  [082447d4] ChainRules v1.72.4
  [d360d2e6] ChainRulesCore v1.25.1
  [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 v4.16.0
  [a33af91c] CompositionsBase v0.1.2
  [88cd18e8] ConsoleProgressMonitor v0.1.2
  [187b0558] ConstructionBase v1.5.8
  [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 v0.6.54
  [b4f34e82] Distances v0.10.12
  [31c24e10] Distributions v0.25.120
  [ced4e74d] DistributionsAD v0.6.58
  [ffbed154] DocStringExtensions v0.9.4
  [bbc10e6e] DynamicHMC v3.5.1
  [366bfd00] DynamicPPL v0.36.10
  [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 v0.10.38
  [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 v0.15.1
  [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 v0.6.9
  [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 v7.3.0
  [6fdf6af0] LogDensityProblems v2.1.2
  [996a588d] LogDensityProblemsAD v1.13.0
  [2ab3a3ac] LogExpFunctions v0.3.29
  [e6f89c97] LoggingExtras v1.1.0
⌃ [c7f686f2] MCMCChains v6.0.7
  [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 v0.3.5
  [d41bc354] NLSolversBase v7.9.1
  [76087f3c] NLopt v1.1.4
  [77ba4419] NaNMath v1.1.3
  [86f7a689] NamedArrays v0.10.4
  [c020b1a1] NaturalSort v1.0.0
  [b8a86587] NearestNeighbors v0.4.21
  [6fe1bfb0] OffsetArrays v1.17.0
  [429524aa] Optim v1.12.0
  [3bd65402] Optimisers v0.4.6
  [7f7a1694] Optimization v4.3.0
  [3e6eede4] OptimizationBBO v0.4.1
⌃ [bca83a33] OptimizationBase v2.7.0
  [4e6fcdb7] OptimizationNLopt v0.3.2
  [36348300] OptimizationOptimJL v0.4.3
  [bac558e1] OrderedCollections v1.8.1
  [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 v1.2.1
  [21216c6a] Preferences v1.4.3
  [08abe8d2] PrettyTables v2.4.0
  [33c8b6b6] ProgressLogging v0.1.4
  [92933f4c] ProgressMeter v1.10.4
  [43287f4e] PtrArrays v1.3.0
  [1fd47b50] QuadGK v2.11.2
  [74087812] Random123 v1.7.1
  [e6cf234a] RandomNumbers v1.6.0
  [b3c3ace0] RangeArrays v0.3.2
  [c84ed2f1] Ratios v0.4.5
  [c1ae055f] RealDot v0.1.0
  [3cdcf5f2] RecipesBase v1.3.4
  [731186ca] RecursiveArrayTools v3.33.0
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.1
  [37e2e3b7] ReverseDiff v1.16.1
  [708f8203] Richardson v1.4.2
  [79098fc4] Rmath v0.8.0
  [f2b01f46] Roots v2.2.7
  [7e49a35a] RuntimeGeneratedFunctions v0.5.15
⌅ [26aad666] SSMProblems v0.1.1
  [0bca4576] SciMLBase v2.97.0
  [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 v0.6.19
  [dc90abb0] SparseInverseSubset v0.1.2
  [0a514795] SparseMatrixColorings v0.4.20
  [d4ead438] SpatialIndexing v0.1.6
  [276daf66] SpecialFunctions v2.5.1
  [171d559e] SplittablesBase v0.1.15
  [860ef19b] StableRNGs v1.0.3
  [90137ffa] StaticArrays v1.9.13
  [1e83bf80] StaticArraysCore v1.4.3
  [64bff920] StatisticalTraits v3.4.0
  [82ae8749] StatsAPI v1.7.1
  [2913bbd2] StatsBase v0.34.5
  [4c63d2b9] StatsFuns v1.5.0
  [5e0ebb24] Strided v2.3.0
  [4db3bf67] StridedViews v0.4.1
  [892a3eda] StringManipulation v0.4.1
  [09ab397b] StructArrays v0.7.1
  [2efcf032] SymbolicIndexingInterface v0.3.40
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.1
  [02d47bb6] TensorCast v0.4.9
  [5d786b92] TerminalLoggers v0.1.7
  [a759f4b9] TimerOutputs v0.5.29
  [28d57a85] Transducers v0.4.84
  [24ddb15e] TransmuteDims v0.1.17
  [9d95972d] TupleTools v1.6.0
  [fce5fe82] Turing v0.39.0
  [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
  [079eb43e] NLopt_jll v2.10.0+0
  [efe28fd5] OpenSpecFun_jll v0.5.6+0
  [f50d1b31] Rmath_jll v0.5.1+0
  [1317d2d5] oneTBB_jll v2022.0.0+0
  [0dad84c5] ArgTools v1.1.1
  [56f22d72] Artifacts
  [2a0f44e3] Base64
  [ade2ca70] Dates
  [8ba89e20] Distributed
  [f43a241f] Downloads v1.6.0
  [7b1f6079] FileWatching
  [9fa8497b] Future
  [b77e0a4c] InteractiveUtils
  [4af54fe1] LazyArtifacts
  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2
  [8f399da3] Libdl
  [37e2e46d] LinearAlgebra
  [56ddb016] Logging
  [d6f4376e] Markdown
  [a63ad114] Mmap
  [ca575930] NetworkOptions v1.2.0
  [44cfe95a] Pkg v1.10.0
  [de0858da] Printf
  [3fa0cd96] REPL
  [9a3f8284] Random
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization
  [1a1011a3] SharedArrays
  [6462fe0b] Sockets
  [2f01184e] SparseArrays v1.10.0
  [10745b16] Statistics v1.10.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test
  [cf7118a7] UUIDs
  [4ec0a83e] Unicode
  [e66e0078] CompilerSupportLibraries_jll v1.1.1+0
  [deac9b47] LibCURL_jll v8.4.0+0
  [e37daf67] LibGit2_jll v1.6.4+0
  [29816b5a] LibSSH2_jll v1.11.0+1
  [c8ffd9c3] MbedTLS_jll v2.28.2+1
  [14a3606d] MozillaCACerts_jll v2023.1.10
  [4536629a] OpenBLAS_jll v0.3.23+4
  [05823500] OpenLibm_jll v0.8.5+0
  [bea87d4a] SuiteSparse_jll v7.2.1+1
  [83775a58] Zlib_jll v1.2.13+1
  [8e850b90] libblastrampoline_jll v5.11.0+0
  [8e850ede] nghttp2_jll v1.52.0+1
  [3f19e933] p7zip_jll v17.4.0+2
        Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading.
     Testing Running tests...
[ Info: [Turing]: progress logging is disabled globally
WARNING: using deprecated binding Distributions.MatrixReshaped in Bijectors.
, use Distributions.ReshapedDistribution{2, S, D} where D<:Distributions.Distribution{Distributions.ArrayLikeVariate{1}, S} where S<:Distributions.ValueSupport instead.
WARNING: using deprecated binding Distributions.MatrixReshaped in Turing.
, use Distributions.ReshapedDistribution{2, S, D} where D<:Distributions.Distribution{Distributions.ArrayLikeVariate{1}, S} where S<:Distributions.ValueSupport instead.
WARNING: Turing.MatrixReshaped is deprecated, use Distributions.ReshapedDistribution{2, S, D} where D<:Distributions.Distribution{Distributions.ArrayLikeVariate{1}, S} where S<:Distributions.ValueSupport instead.
  likely near none:8
WARNING: using deprecated binding Distributions.MatrixReshaped in Bijectors.
, use Distributions.ReshapedDistribution{2, S, D} where D<:Distributions.Distribution{Distributions.ArrayLikeVariate{1}, S} where S<:Distributions.ValueSupport instead.
WARNING: using deprecated binding Distributions.MatrixReshaped in Turing.
, use Distributions.ReshapedDistribution{2, S, D} where D<:Distributions.Distribution{Distributions.ArrayLikeVariate{1}, S} where S<:Distributions.ValueSupport instead.
WARNING: Turing.MatrixReshaped is deprecated, use Distributions.ReshapedDistribution{2, S, D} where D<:Distributions.Distribution{Distributions.ArrayLikeVariate{1}, S} where S<:Distributions.ValueSupport instead.
  likely near /home/pkgeval/.julia/packages/Turing/eKeNL/test/Aqua.jl:9
   Resolving package versions...
    Updating `/tmp/jl_uC49Un/Project.toml`
  [da2b9cff] + Mooncake v0.4.122
    Updating `/tmp/jl_uC49Un/Manifest.toml`
  [ec485272] + ArnoldiMethod v0.4.0
  [86223c79] + Graphs v1.13.0
  [d25df0c9] + Inflate v0.1.5
  [dbe65cb8] + MistyClosures v2.0.0
  [da2b9cff] + Mooncake v0.4.122
  [699a6c99] + SimpleTraits v0.9.4
[ 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 AD for Turing.Inference.HMC{ADTypes.AutoMooncake{Nothing}, AdvancedHMC.UnitEuclideanMetric}(0.1, 10, ADTypes.AutoMooncake{Nothing}(nothing))
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679439, 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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679438, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679438, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679439, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679439, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679438, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing AD for Turing.Inference.HMCDA{ADTypes.AutoMooncake{Nothing}, AdvancedHMC.UnitEuclideanMetric}(-1, 0.8, 0.75, 0.0, ADTypes.AutoMooncake{Nothing}(nothing))
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679439, 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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679438, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679438, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679439, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679439, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679438, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing AD for Turing.Inference.NUTS{ADTypes.AutoMooncake{Nothing}, AdvancedHMC.DiagEuclideanMetric}(1000, 0.8, 10, 1000.0, 0.0, ADTypes.AutoMooncake{Nothing}(nothing))
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679439, 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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679438, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679438, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679439, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679439, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679438, 0.9669977815528044, 0.11182461275017186])
     expected : (-11.05426679892794, [-0.8945357945653385, 0.7158889078679435, 0.9669977815528044, 0.11182461275017186])
[ Info: Testing AD for Turing.Inference.SGHMC{ADTypes.AutoMooncake{Nothing}, Float64}(0.02, 0.5, ADTypes.AutoMooncake{Nothing}(nothing))
[ Info: Running AD on demo_dot_assume_observe with ADTypes.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679439, 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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679438, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679438, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]
       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679439, 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.AutoMooncake{Nothing}(nothing)
       params : [1.9092862731989177, 0.07458329596077654, -2.512781377651256, 0.9397581193848665]

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

cmd: /opt/julia/bin/julia 462 running 1 of 1

signal (10): User defined signal 1
jl_to_typeof at /source/src/julia.h:766 [inlined]
ijl_types_equal at /source/src/subtype.c:2284
jl_specializations_get_linfo_ at /source/src/gf.c:221
cache_method at /source/src/gf.c:1292
ml_matches at /source/src/gf.c:3925
ml_matches at /source/src/gf.c:3588 [inlined]
ijl_matching_methods at /source/src/gf.c:2284
_methods_by_ftype at ./reflection.jl:1031
_findall at ./compiler/methodtable.jl:105 [inlined]
#findall#283 at ./compiler/methodtable.jl:74 [inlined]
findall at ./compiler/methodtable.jl:73 [inlined]
#findall#285 at ./compiler/methodtable.jl:119
findall at ./compiler/methodtable.jl:110 [inlined]
find_matching_methods at ./compiler/abstractinterpretation.jl:289
abstract_call_gf_by_type at ./compiler/abstractinterpretation.jl:24
abstract_call_known at ./compiler/abstractinterpretation.jl:2101
abstract_call at ./compiler/abstractinterpretation.jl:2184
abstract_call at ./compiler/abstractinterpretation.jl:2177
abstract_call at ./compiler/abstractinterpretation.jl:2369
abstract_eval_call at ./compiler/abstractinterpretation.jl:2385
abstract_eval_statement_expr at ./compiler/abstractinterpretation.jl:2395
abstract_eval_statement at ./compiler/abstractinterpretation.jl:2639
abstract_eval_basic_statement at ./compiler/abstractinterpretation.jl:2928
typeinf_local at ./compiler/abstractinterpretation.jl:3122
typeinf_nocycle at ./compiler/abstractinterpretation.jl:3210
_typeinf at ./compiler/typeinfer.jl:247
typeinf at ./compiler/typeinfer.jl:216
typeinf_edge at ./compiler/typeinfer.jl:930
abstract_call_method at ./compiler/abstractinterpretation.jl:633
abstract_call_gf_by_type at ./compiler/abstractinterpretation.jl:95
abstract_call_known at ./compiler/abstractinterpretation.jl:2101
abstract_call at ./compiler/abstractinterpretation.jl:2184
abstract_call at ./compiler/abstractinterpretation.jl:2177
abstract_call at ./compiler/abstractinterpretation.jl:2369
abstract_eval_call at ./compiler/abstractinterpretation.jl:2385
abstract_eval_statement_expr at ./compiler/abstractinterpretation.jl:2395
abstract_eval_statement at ./compiler/abstractinterpretation.jl:2639
abstract_eval_basic_statement at ./compiler/abstractinterpretation.jl:2904
typeinf_local at ./compiler/abstractinterpretation.jl:3122
typeinf_nocycle at ./compiler/abstractinterpretation.jl:3210
_typeinf at ./compiler/typeinfer.jl:247
typeinf at ./compiler/typeinfer.jl:216
typeinf_edge at ./compiler/typeinfer.jl:930
abstract_call_method at ./compiler/abstractinterpretation.jl:633
abstract_call_gf_by_type at ./compiler/abstractinterpretation.jl:95
abstract_call_known at ./compiler/abstractinterpretation.jl:2101
abstract_call at ./compiler/abstractinterpretation.jl:2184
abstract_call at ./compiler/abstractinterpretation.jl:2177
abstract_call at ./compiler/abstractinterpretation.jl:2369
abstract_eval_call at ./compiler/abstractinterpretation.jl:2385
abstract_eval_statement_expr at ./compiler/abstractinterpretation.jl:2395
abstract_eval_statement at ./compiler/abstractinterpretation.jl:2639
abstract_eval_basic_statement at ./compiler/abstractinterpretation.jl:2928
typeinf_local at ./compiler/abstractinterpretation.jl:3122
typeinf_nocycle at ./compiler/abstractinterpretation.jl:3210
_typeinf at ./compiler/typeinfer.jl:247
typeinf at ./compiler/typeinfer.jl:216
typeinf_edge at ./compiler/typeinfer.jl:930
abstract_call_method at ./compiler/abstractinterpretation.jl:633
abstract_call_gf_by_type at ./compiler/abstractinterpretation.jl:95
abstract_call_known at ./compiler/abstractinterpretation.jl:2101
abstract_call at ./compiler/abstractinterpretation.jl:2184
abstract_call at ./compiler/abstractinterpretation.jl:2177
abstract_call at ./compiler/abstractinterpretation.jl:2369
abstract_eval_call at ./compiler/abstractinterpretation.jl:2385
abstract_eval_statement_expr at ./compiler/abstractinterpretation.jl:2395
abstract_eval_statement at ./compiler/abstractinterpretation.jl:2639
abstract_eval_basic_statement at ./compiler/abstractinterpretation.jl:2928
typeinf_local at ./compiler/abstractinterpretation.jl:3122
typeinf_nocycle at ./compiler/abstractinterpretation.jl:3210
_typeinf at ./compiler/typeinfer.jl:247
typeinf at ./compiler/typeinfer.jl:216
typeinf_edge at ./compiler/typeinfer.jl:930
abstract_call_method at ./compiler/abstractinterpretation.jl:633
abstract_call_gf_by_type at ./compiler/abstractinterpretation.jl:95
abstract_call_known at ./compiler/abstractinterpretation.jl:2101
abstract_call at ./compiler/abstractinterpretation.jl:2184
abstract_call at ./compiler/abstractinterpretation.jl:2177
abstract_call at ./compiler/abstractinterpretation.jl:2369
abstract_eval_call at ./compiler/abstractinterpretation.jl:2385
abstract_eval_statement_expr at ./compiler/abstractinterpretation.jl:2395
abstract_eval_statement at ./compiler/abstractinterpretation.jl:2639
abstract_eval_basic_statement at ./compiler/abstractinterpretation.jl:2904
typeinf_local at ./compiler/abstractinterpretation.jl:3122
typeinf_nocycle at ./compiler/abstractinterpretation.jl:3210
_typeinf at ./compiler/typeinfer.jl:247
typeinf at ./compiler/typeinfer.jl:216
typeinf_edge at ./compiler/typeinfer.jl:930
abstract_call_method at ./compiler/abstractinterpretation.jl:633
abstract_call_gf_by_type at ./compiler/abstractinterpretation.jl:95
abstract_call_unknown at ./compiler/abstractinterpretation.jl:2171
abstract_call at ./compiler/abstractinterpretation.jl:2181
abstract_apply at ./compiler/abstractinterpretation.jl:1626
abstract_call_known at ./compiler/abstractinterpretation.jl:2018
abstract_call at ./compiler/abstractinterpretation.jl:2184
abstract_call at ./compiler/abstractinterpretation.jl:2177
abstract_call at ./compiler/abstractinterpretation.jl:2369
abstract_eval_call at ./compiler/abstractinterpretation.jl:2385
abstract_eval_statement_expr at ./compiler/abstractinterpretation.jl:2395
abstract_eval_statement at ./compiler/abstractinterpretation.jl:2639
abstract_eval_basic_statement at ./compiler/abstractinterpretation.jl:2928
typeinf_local at ./compiler/abstractinterpretation.jl:3122
typeinf_nocycle at ./compiler/abstractinterpretation.jl:3210
_typeinf at ./compiler/typeinfer.jl:247
typeinf at ./compiler/typeinfer.jl:216
typeinf at ./compiler/typeinfer.jl:12 [inlined]
typeinf_type at ./compiler/typeinfer.jl:1071
return_type at ./compiler/typeinfer.jl:1132
jfptr_return_type_27924.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
jl_apply at /source/src/julia.h:1982 [inlined]
ijl_call_in_typeinf_world at /source/src/gf.c:434
return_type at ./compiler/typeinfer.jl:1118
unknown function (ip: 0x7fe2ad5fd47c)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
return_type at ./compiler/typeinfer.jl:1113
unknown function (ip: 0x7fe2ad5fcd45)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
pullback_type at /home/pkgeval/.julia/packages/Mooncake/wrkPL/src/interpreter/s2s_reverse_mode_ad.jl:882
unknown function (ip: 0x7fe2ad60fef9)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
make_ad_stmts! at /home/pkgeval/.julia/packages/Mooncake/wrkPL/src/interpreter/s2s_reverse_mode_ad.jl:681
unknown function (ip: 0x7fe2ad5fc253)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
_broadcast_getindex_evalf at ./broadcast.jl:709 [inlined]
_broadcast_getindex at ./broadcast.jl:682 [inlined]
getindex at ./broadcast.jl:636 [inlined]
macro expansion at ./broadcast.jl:1004 [inlined]
macro expansion at ./simdloop.jl:77 [inlined]
copyto! at ./broadcast.jl:1003 [inlined]
copyto! at ./broadcast.jl:956 [inlined]
copy at ./broadcast.jl:928 [inlined]
materialize at ./broadcast.jl:903
unknown function (ip: 0x7fe2ad5f7a35)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
#208 at /home/pkgeval/.julia/packages/Mooncake/wrkPL/src/interpreter/s2s_reverse_mode_ad.jl:1175
iterate at ./generator.jl:47 [inlined]
collect_to! at ./array.jl:892
collect_to_with_first! at ./array.jl:870
unknown function (ip: 0x7fe2ad615d08)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
_collect at ./array.jl:864
collect_similar at ./array.jl:763 [inlined]
map at ./abstractarray.jl:3286 [inlined]
#generate_ir#207 at /home/pkgeval/.julia/packages/Mooncake/wrkPL/src/interpreter/s2s_reverse_mode_ad.jl:1172
generate_ir at /home/pkgeval/.julia/packages/Mooncake/wrkPL/src/interpreter/s2s_reverse_mode_ad.jl:1149 [inlined]
#build_rrule#206 at /home/pkgeval/.julia/packages/Mooncake/wrkPL/src/interpreter/s2s_reverse_mode_ad.jl:1114
build_rrule at /home/pkgeval/.julia/packages/Mooncake/wrkPL/src/interpreter/s2s_reverse_mode_ad.jl:1077 [inlined]
_build_rule! at /home/pkgeval/.julia/packages/Mooncake/wrkPL/src/interpreter/s2s_reverse_mode_ad.jl:1826
LazyDerivedRule at /home/pkgeval/.julia/packages/Mooncake/wrkPL/src/interpreter/s2s_reverse_mode_ad.jl:1822 [inlined]
logdensity_at at /home/pkgeval/.julia/packages/DynamicPPL/I9lST/src/logdensityfunction.jl:182 [inlined]
opaque closure at ./<missing>:0
DerivedRule at /home/pkgeval/.julia/packages/Mooncake/wrkPL/src/interpreter/s2s_reverse_mode_ad.jl:966
unknown function (ip: 0x7fe2ab1fcd6a)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
jl_apply at /source/src/julia.h:1982 [inlined]
do_apply at /source/src/builtins.c:768
#prepare_gradient_cache#669 at /home/pkgeval/.julia/packages/Mooncake/wrkPL/src/interface.jl:485
prepare_gradient_cache at /home/pkgeval/.julia/packages/Mooncake/wrkPL/src/interface.jl:482 [inlined]
prepare_gradient_nokwarg at /home/pkgeval/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceMooncakeExt/onearg.jl:113
#prepare_gradient#47 at /home/pkgeval/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/gradient.jl:11 [inlined]
prepare_gradient at /home/pkgeval/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/gradient.jl:8 [inlined]
_#221 at /home/pkgeval/.julia/packages/DynamicPPL/I9lST/src/logdensityfunction.jl:130 [inlined]
LogDensityFunction at /home/pkgeval/.julia/packages/DynamicPPL/I9lST/src/logdensityfunction.jl:111 [inlined]
#run_ad#1 at /home/pkgeval/.julia/packages/DynamicPPL/I9lST/src/test_utils/ad.jl:210
unknown function (ip: 0x7fe2ab1f81fd)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
run_ad at /home/pkgeval/.julia/packages/DynamicPPL/I9lST/src/test_utils/ad.jl:189
unknown function (ip: 0x7fe2ab1f3f49)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
macro expansion at /source/usr/share/julia/stdlib/v1.10/Test/src/Test.jl:669 [inlined]
macro expansion at /home/pkgeval/.julia/packages/Turing/eKeNL/test/ad.jl:260 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.10/Test/src/Test.jl:1669 [inlined]
macro expansion at /home/pkgeval/.julia/packages/Turing/eKeNL/test/ad.jl:257 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.10/Test/src/Test.jl:1669 [inlined]
macro expansion at /home/pkgeval/.julia/packages/Turing/eKeNL/test/ad.jl:248 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.10/Test/src/Test.jl:1669 [inlined]
macro expansion at /home/pkgeval/.julia/packages/Turing/eKeNL/test/ad.jl:247 [inlined]
macro expansion at /source/usr/share/julia/stdlib/v1.10/Test/src/Test.jl:1577 [inlined]
top-level scope at /home/pkgeval/.julia/packages/Turing/eKeNL/test/ad.jl:247
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_invoke at /source/src/gf.c:2902
jl_toplevel_eval_flex at /source/src/toplevel.c:925
jl_eval_module_expr at /source/src/toplevel.c:215 [inlined]
jl_toplevel_eval_flex at /source/src/toplevel.c:736
jl_toplevel_eval_flex at /source/src/toplevel.c:877
ijl_toplevel_eval_in at /source/src/toplevel.c:985
eval at ./boot.jl:385 [inlined]
include_string at ./loading.jl:2146
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
_include at ./loading.jl:2206
include at ./client.jl:494
unknown function (ip: 0x7fe2ce489b35)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
jl_apply at /source/src/julia.h:1982 [inlined]
do_call at /source/src/interpreter.c:126
eval_value at /source/src/interpreter.c:223
eval_stmt_value at /source/src/interpreter.c:174 [inlined]
eval_body at /source/src/interpreter.c:635
eval_body at /source/src/interpreter.c:544
eval_body at /source/src/interpreter.c:544
eval_body at /source/src/interpreter.c:544
eval_body at /source/src/interpreter.c:544
eval_body at /source/src/interpreter.c:544
jl_interpret_toplevel_thunk at /source/src/interpreter.c:775
jl_toplevel_eval_flex at /source/src/toplevel.c:934
jl_toplevel_eval_flex at /source/src/toplevel.c:877
ijl_toplevel_eval_in at /source/src/toplevel.c:985
eval at ./boot.jl:385 [inlined]
include_string at ./loading.jl:2146
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
_include at ./loading.jl:2206
include at ./client.jl:494
unknown function (ip: 0x7fe2ce47f125)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
jl_apply at /source/src/julia.h:1982 [inlined]
do_call at /source/src/interpreter.c:126
eval_value at /source/src/interpreter.c:223
eval_stmt_value at /source/src/interpreter.c:174 [inlined]
eval_body at /source/src/interpreter.c:635
jl_interpret_toplevel_thunk at /source/src/interpreter.c:775
jl_toplevel_eval_flex at /source/src/toplevel.c:934
jl_toplevel_eval_flex at /source/src/toplevel.c:877
ijl_toplevel_eval_in at /source/src/toplevel.c:985
eval at ./boot.jl:385 [inlined]
exec_options at ./client.jl:296
_start at ./client.jl:557
jfptr__start_83099.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
jl_apply at /source/src/julia.h:1982 [inlined]
true_main at /source/src/jlapi.c:582
jl_repl_entrypoint at /source/src/jlapi.c:731
main at /source/cli/loader_exe.c:58
unknown function (ip: 0x7fe2cf2c4249)
__libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
unknown function (ip: 0x4010b8)
unknown function (ip: (nil))

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

       actual : (-11.05426679892794, [-0.8945357945653389, 0.7158889078679439, 0.9669977815528044, 0.11182461275017186])

======================================================================================
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_wait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
uv__io_poll at /workspace/srcdir/libuv/src/unix/epoll.c:236
uv_run at /workspace/srcdir/libuv/src/unix/core.c:400
ijl_task_get_next at /source/src/partr.c:478
poptask at ./task.jl:999
wait at ./task.jl:1008
#wait#647 at ./condition.jl:130
wait at ./condition.jl:125 [inlined]
wait at ./process.jl:661
jfptr_wait_74802.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
subprocess_handler at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:2048
#130 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1992
withenv at ./env.jl:257
#117 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1840
with_temp_env at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1721
#115 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1810
#mktempdir#24 at ./file.jl:766
unknown function (ip: 0x7cee90adb400)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
mktempdir at ./file.jl:762
mktempdir at ./file.jl:762 [inlined]
#sandbox#114 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1768
sandbox at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1759
unknown function (ip: 0x7cee90ad3d9d)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
#test#127 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1971
test at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1915 [inlined]
#test#146 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:444
test at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:423
unknown function (ip: 0x7cee90ad3890)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
#test#77 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:159
unknown function (ip: 0x7cee90ad3150)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
test at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:148
#test#75 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:147 [inlined]
test at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:147 [inlined]
#test#74 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:146 [inlined]
test at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:146
unknown function (ip: 0x7cee90acf849)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
jl_apply at /source/src/julia.h:1982 [inlined]
do_call at /source/src/interpreter.c:126
eval_value at /source/src/interpreter.c:223
eval_stmt_value at /source/src/interpreter.c:174 [inlined]
eval_body at /source/src/interpreter.c:635
eval_body at /source/src/interpreter.c:544
eval_body at /source/src/interpreter.c:544
jl_interpret_toplevel_thunk at /source/src/interpreter.c:775
jl_toplevel_eval_flex at /source/src/toplevel.c:934
jl_toplevel_eval_flex at /source/src/toplevel.c:877
ijl_toplevel_eval_in at /source/src/toplevel.c:985
eval at ./boot.jl:385 [inlined]
include_string at ./loading.jl:2146
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
_include at ./loading.jl:2206
include at ./Base.jl:495
jfptr_include_46645.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
exec_options at ./client.jl:323
_start at ./client.jl:557
jfptr__start_83099.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:2876 [inlined]
ijl_apply_generic at /source/src/gf.c:3077
jl_apply at /source/src/julia.h:1982 [inlined]
true_main at /source/src/jlapi.c:582
jl_repl_entrypoint at /source/src/jlapi.c:731
main at /source/cli/loader_exe.c:58
unknown function (ip: 0x7cee918e5249)
__libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
unknown function (ip: 0x4010b8)
unknown function (ip: (nil))

==============================================================
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/v1.10/Profile/src/Profile.jl:1225
Overhead ╎ [+additional indent] Count File:Line; Function
=========================================================
Thread 1 Task 0x00007cee84200010 Total snapshots: 1. Utilization: 0%
 ╎1 @Base/client.jl:557; _start()
 ╎ 1 @Base/client.jl:323; exec_options(opts::Base.JLOptions)
 ╎  1 @Base/Base.jl:495; include(mod::Module, _path::String)
 ╎   1 @Base/loading.jl:2206; _include(mapexpr::Function, mod::Module, _path::S…
 ╎    1 @Base/loading.jl:2146; include_string(mapexpr::typeof(identity), mod::M…
 ╎     1 @Base/boot.jl:385; eval
 ╎    ╎ 1 @Pkg/src/API.jl:146; kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(…
 ╎    ╎  1 @Pkg/src/API.jl:146; #test#74
 ╎    ╎   1 @Pkg/src/API.jl:147; test
 ╎    ╎    1 @Pkg/src/API.jl:147; #test#75
 ╎    ╎     1 @Pkg/src/API.jl:148; kwcall(::@NamedTuple{julia_args::Cmd}, ::typ…
 ╎    ╎    ╎ 1 @Pkg/src/API.jl:159; test(pkgs::Vector{Pkg.Types.PackageSpec}; i…
 ╎    ╎    ╎  1 @Pkg/src/API.jl:423; kwcall(::@NamedTuple{julia_args::Cmd, io::…
 ╎    ╎    ╎   1 @Pkg/src/API.jl:444; test(ctx::Pkg.Types.Context, pkgs::Vector…
 ╎    ╎    ╎    1 …/src/Operations.jl:1915; test
 ╎    ╎    ╎     1 …src/Operations.jl:1971; test(ctx::Pkg.Types.Context, pkgs::…
 ╎    ╎    ╎    ╎ 1 …src/Operations.jl:1759; kwcall(::@NamedTuple{preferences::…
 ╎    ╎    ╎    ╎  1 …src/Operations.jl:1768; sandbox(fn::Function, ctx::Pkg.Ty…
 ╎    ╎    ╎    ╎   1 @Base/file.jl:762; mktempdir
 ╎    ╎    ╎    ╎    1 @Base/file.jl:762; mktempdir(fn::Function, parent::Strin…
 ╎    ╎    ╎    ╎     1 @Base/file.jl:766; mktempdir(fn::Pkg.Operations.var"#11…
 ╎    ╎    ╎    ╎    ╎ 1 …c/Operations.jl:1810; (::Pkg.Operations.var"#115#120"…
 ╎    ╎    ╎    ╎    ╎  1 …c/Operations.jl:1721; with_temp_env(fn::Pkg.Operatio…
 ╎    ╎    ╎    ╎    ╎   1 …/Operations.jl:1840; (::Pkg.Operations.var"#117#122…
 ╎    ╎    ╎    ╎    ╎    1 @Base/env.jl:257; withenv(::Pkg.Operations.var"#130…
 ╎    ╎    ╎    ╎    ╎     1 …Operations.jl:1992; (::Pkg.Operations.var"#130#13…
 ╎    ╎    ╎    ╎    ╎    ╎ 1 …Operations.jl:2048; subprocess_handler(cmd::Cmd,…
 ╎    ╎    ╎    ╎    ╎    ╎  1 …se/process.jl:661; wait(x::Base.Process)
 ╎    ╎    ╎    ╎    ╎    ╎   1 …/condition.jl:125; wait
 ╎    ╎    ╎    ╎    ╎    ╎    1 …condition.jl:130; wait(c::Base.GenericConditi…
 ╎    ╎    ╎    ╎    ╎    ╎     1 …ase/task.jl:1008; wait()
 ╎    ╎    ╎    ╎    ╎    ╎    ╎ 1 …ase/task.jl:999; poptask(W::Base.IntrusiveL…


[462] signal (15): Terminated
in expression starting at /home/pkgeval/.julia/packages/Turing/eKeNL/test/ad.jl:242

PkgEval terminated after 2728.24s: test duration exceeded the time limit