Package evaluation to test DiffEqBayes on Julia 1.14.0-DEV.1741 (f7ebeb5678*) started at 2026-02-20T03:17:35.628 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 12.6s ################################################################################ # Installation # Installing DiffEqBayes... Resolving package versions... Installed Glob ───────────────────────────── v1.4.0 Installed CommonWorldInvalidations ───────── v1.0.0 Installed InlineStrings ──────────────────── v1.4.5 Installed MKL_jll ────────────────────────── v2025.2.0+0 Installed DefineSingletons ───────────────── v0.1.2 Installed FastPower ──────────────────────── v1.3.1 Installed DistributionsAD ────────────────── v0.6.58 Installed SIMDTypes ──────────────────────── v0.1.0 Installed OrderedCollections ─────────────── v1.8.1 Installed Functors ───────────────────────── v0.5.2 Installed PreallocationTools ─────────────── v0.4.34 Installed TensorCast ─────────────────────── v0.4.9 Installed SymbolicUtils ──────────────────── v3.32.0 Installed ChainRules ─────────────────────── v1.73.0 Installed Optim ──────────────────────────── v1.13.3 Installed InitialValues ──────────────────── v0.3.1 Installed EnzymeCore ─────────────────────── v0.8.18 Installed TransmuteDims ──────────────────── v0.1.17 Installed ArgCheck ───────────────────────── v2.5.0 Installed CpuId ──────────────────────────── v0.3.1 Installed SentinelArrays ─────────────────── v1.4.9 Installed AbstractPPL ────────────────────── v0.13.6 Installed DispatchDoctor ─────────────────── v0.4.28 Installed Distances ──────────────────────── v0.10.12 Installed NaNMath ────────────────────────── v1.1.3 Installed QuadGK ─────────────────────────── v2.11.2 Installed StaticArrayInterface ───────────── v1.9.0 Installed Chairmarks ─────────────────────── v1.3.1 Installed DynamicQuantities ──────────────── v1.11.0 Installed DiffEqCallbacks ────────────────── v4.12.0 Installed Turing ─────────────────────────── v0.42.8 Installed OpenSpecFun_jll ────────────────── v0.5.6+0 Installed FastBroadcast ──────────────────── v0.3.5 Installed NonlinearSolveBase ─────────────── v2.11.2 Installed TransformVariables ─────────────── v0.8.19 Installed PackageExtensionCompat ─────────── v1.0.2 Installed LinearSolve ────────────────────── v3.58.0 Installed SCCNonlinearSolve ──────────────── v1.11.0 Installed WoodburyMatrices ───────────────── v1.1.0 Installed Tables ─────────────────────────── v1.12.1 Installed EnumX ──────────────────────────── v1.0.6 Installed NLSolversBase ──────────────────── v7.10.0 Installed JumpProcesses ──────────────────── v9.22.0 Installed JuliaFormatter ─────────────────── v2.3.0 Installed InverseFunctions ───────────────── v0.1.17 Installed Reexport ───────────────────────── v1.2.2 Installed Jieko ──────────────────────────── v0.2.1 Installed Missings ───────────────────────── v1.2.0 Installed Static ─────────────────────────── v1.3.1 Installed BracketingNonlinearSolve ───────── v1.8.0 Installed Preferences ────────────────────── v1.5.1 Installed DiffEqBase ─────────────────────── v6.205.1 Installed MaybeInplace ───────────────────── v0.1.4 Installed TableTraits ────────────────────── v1.0.1 Installed MCMCChains ─────────────────────── v7.7.0 Installed LaTeXStrings ───────────────────── v1.4.0 Installed MappedArrays ───────────────────── v0.4.3 Installed Crayons ────────────────────────── v4.1.1 Installed RecursiveArrayTools ────────────── v3.48.0 Installed SortingAlgorithms ──────────────── v1.2.2 Installed RangeArrays ────────────────────── v0.3.2 Installed NaturalSort ────────────────────── v1.0.0 Installed UnPack ─────────────────────────── v1.0.2 Installed DensityInterface ───────────────── v0.4.0 Installed Format ─────────────────────────── v1.3.7 Installed Inflate ────────────────────────── v0.1.5 Installed ADTypes ────────────────────────── v1.21.0 Installed MLStyle ────────────────────────── v0.4.17 Installed MacroTools ─────────────────────── v0.5.16 Installed StridedViews ───────────────────── v0.4.3 Installed TermInterface ──────────────────── v2.0.0 Installed DiffResults ────────────────────── v1.1.0 Installed URIs ───────────────────────────── v1.6.1 Installed ManualMemory ───────────────────── v0.1.8 Installed DataStructures ─────────────────── v0.19.3 Installed FillArrays ─────────────────────── v1.16.0 Installed oneTBB_jll ─────────────────────── v2022.0.0+1 Installed Tricks ─────────────────────────── v0.1.13 Installed DelimitedFiles ─────────────────── v1.9.1 Installed AbstractTrees ──────────────────── v0.4.5 Installed ArnoldiMethod ──────────────────── v0.4.0 Installed DynamicHMC ─────────────────────── v3.6.0 Installed SparseMatrixColorings ──────────── v0.4.23 Installed StatsBase ──────────────────────── v0.34.10 Installed SciMLJacobianOperators ─────────── v0.1.12 Installed ConsoleProgressMonitor ─────────── v0.1.2 Installed CodecZlib ──────────────────────── v0.7.8 Installed Optimisers ─────────────────────── v0.4.7 Installed ExprTools ──────────────────────── v0.1.10 Installed ArrayInterface ─────────────────── v7.22.0 Installed IntelOpenMP_jll ────────────────── v2025.2.0+0 Installed RandomNumbers ──────────────────── v1.6.0 Installed DataValueInterfaces ────────────── v1.0.0 Installed CommonSubexpressions ───────────── v0.3.1 Installed MCMCDiagnosticTools ────────────── v0.3.16 Installed LoggingExtras ──────────────────── v1.2.0 Installed LayoutPointers ─────────────────── v0.1.17 Installed ConcreteStructs ────────────────── v0.2.3 Installed RealDot ────────────────────────── v0.1.0 Installed SparseConnectivityTracer ───────── v1.2.1 Installed DynamicPPL ─────────────────────── v0.39.13 Installed TruncatedStacktraces ───────────── v1.4.0 Installed GPUArraysCore ──────────────────── v0.2.0 Installed IrrationalConstants ────────────── v0.2.6 Installed TerminalLoggers ────────────────── v0.1.7 Installed AdvancedMH ─────────────────────── v0.8.10 Installed IntegerMathUtils ───────────────── v0.1.3 Installed ArrayLayouts ───────────────────── v1.12.2 Installed SimpleTraits ───────────────────── v0.9.5 Installed CompatHelperLocal ──────────────── v0.1.29 Installed LeftChildRightSiblingTrees ─────── v0.2.1 Installed SplittablesBase ────────────────── v0.1.15 Installed BlockArrays ────────────────────── v1.9.3 Installed Transducers ────────────────────── v0.4.85 Installed Setfield ───────────────────────── v1.1.2 Installed Baselet ────────────────────────── v0.1.1 Installed Roots ──────────────────────────── v2.2.10 Installed CompositeTypes ─────────────────── v0.1.4 Installed Interpolations ─────────────────── v0.16.2 Installed PooledArrays ───────────────────── v1.4.3 Installed OptimizationBase ───────────────── v4.2.0 Installed PDMats ─────────────────────────── v0.11.37 Installed NamedArrays ────────────────────── v0.10.5 Installed WorkerUtilities ────────────────── v1.6.1 Installed AxisArrays ─────────────────────── v0.4.8 Installed DocStringExtensions ────────────── v0.9.5 Installed Moshi ──────────────────────────── v0.3.7 Installed TableOperations ────────────────── v1.2.0 Installed ResettableStacks ───────────────── v1.2.0 Installed CompositionsBase ───────────────── v0.1.2 Installed CommonSolve ────────────────────── v0.2.6 Installed FindFirstFunctions ─────────────── v1.8.0 Installed ForwardDiff ────────────────────── v1.3.2 Installed AdvancedVI ─────────────────────── v0.6.2 Installed DifferentiationInterface ───────── v0.7.16 Installed Rmath_jll ──────────────────────── v0.5.1+0 Installed Bijections ─────────────────────── v0.2.2 Installed AdvancedPS ─────────────────────── v0.7.2 Installed KernelDensity ──────────────────── v0.6.11 Installed Unityper ───────────────────────── v0.1.6 Installed LabelledArrays ─────────────────── v1.18.0 Installed Ghostscript_jll ────────────────── v9.55.1+0 Installed AliasTables ────────────────────── v1.1.3 Installed TransformedLogDensities ────────── v1.1.1 Installed BitTwiddlingConvenienceFunctions ─ v0.1.6 Installed LineSearch ─────────────────────── v0.1.6 Installed DynamicPolynomials ─────────────── v0.6.4 Installed SparseInverseSubset ────────────── v0.1.2 Installed IteratorInterfaceExtensions ────── v1.0.0 Installed Combinatorics ──────────────────── v1.0.2 Installed Krylov ─────────────────────────── v0.10.5 Installed CSV ────────────────────────────── v0.10.16 Installed StanSample ─────────────────────── v7.1.1 Installed MistyClosures ──────────────────── v2.1.0 Installed RecipesBase ────────────────────── v1.3.4 Installed FunctionWrappersWrappers ───────── v0.1.3 Installed InvertedIndices ────────────────── v1.3.1 Installed DataAPI ────────────────────────── v1.16.0 Installed SciMLOperators ─────────────────── v1.15.1 Installed SciMLStructures ────────────────── v1.10.0 Installed DomainSets ─────────────────────── v0.7.16 Installed TaskLocalValues ────────────────── v0.1.3 Installed StaticArraysCore ───────────────── v1.4.4 Installed AbstractFFTs ───────────────────── v1.5.0 Installed BangBang ───────────────────────── v0.4.8 Installed MultivariatePolynomials ────────── v0.5.13 Installed Latexify ───────────────────────── v0.16.10 Installed StaticArrays ───────────────────── v1.9.16 Installed AxisAlgorithms ─────────────────── v1.1.0 Installed Symbolics ──────────────────────── v6.58.0 Installed SciMLPublic ────────────────────── v1.0.1 Installed StringManipulation ─────────────── v0.4.2 Installed Requires ───────────────────────── v1.3.1 Installed LogDensityProblemsAD ───────────── v1.13.1 Installed LogExpFunctions ────────────────── v0.3.29 Installed JuliaSyntax ────────────────────── v0.4.10 Installed FunctionWrappers ───────────────── v1.1.3 Installed DiffRules ──────────────────────── v1.15.1 Installed JSON ───────────────────────────── v0.21.4 Installed OrdinaryDiffEqCore ─────────────── v3.5.2 Installed SciMLBase ──────────────────────── v2.139.0 Installed Distributions ──────────────────── v0.25.123 Installed Parsers ────────────────────────── v2.8.3 Installed NonlinearSolveFirstOrder ───────── v1.11.1 Installed PrettyTables ───────────────────── v3.2.3 Installed Rmath ──────────────────────────── v0.9.0 Installed FiniteDiff ─────────────────────── v2.29.0 Installed FastClosures ───────────────────── v0.3.2 Installed AdvancedHMC ────────────────────── v0.8.3 Installed OptimizationOptimJL ────────────── v0.4.8 Installed CloseOpenIntervals ─────────────── v0.1.13 Installed StatsFuns ──────────────────────── v1.5.2 Installed Polyester ──────────────────────── v0.7.19 Installed Libtask ────────────────────────── v0.9.10 Installed WeakRefStrings ─────────────────── v1.4.2 Installed Unitful ────────────────────────── v1.28.0 Installed TestItems ──────────────────────── v1.0.0 Installed MutableArithmetics ─────────────── v1.6.7 Installed ZygoteRules ────────────────────── v0.2.7 Installed JLLWrappers ────────────────────── v1.7.1 Installed SymbolicLimits ─────────────────── v0.2.3 Installed Primes ─────────────────────────── v0.5.7 Installed IterTools ──────────────────────── v1.10.0 Installed Bijectors ──────────────────────── v0.15.16 Installed DataFrames ─────────────────────── v1.8.1 Installed ThreadingUtilities ─────────────── v0.5.5 Installed StatisticalTraits ──────────────── v3.5.0 Installed Accessors ──────────────────────── v0.1.43 Installed MicroCollections ───────────────── v0.2.0 Installed FilePathsBase ──────────────────── v0.9.24 Installed JpegTurbo_jll ──────────────────── v3.1.4+0 Installed FFTA ───────────────────────────── v0.3.1 Installed Adapt ──────────────────────────── v4.4.0 Installed ConstructionBase ───────────────── v1.6.0 Installed RuntimeGeneratedFunctions ──────── v0.5.17 Installed HypergeometricFunctions ────────── v0.3.28 Installed Graphs ─────────────────────────── v1.13.4 Installed ImplicitDiscreteSolve ──────────── v1.7.0 Installed PoissonRandom ──────────────────── v0.4.7 Installed Random123 ──────────────────────── v1.7.1 Installed SymbolicIndexingInterface ──────── v0.3.46 Installed Compat ─────────────────────────── v4.18.1 Installed TranscodingStreams ─────────────── v0.11.3 Installed ModelingToolkit ────────────────── v10.32.1 Installed ProgressLogging ────────────────── v0.1.6 Installed PositiveFactorizations ─────────── v0.2.4 Installed Statistics ─────────────────────── v1.11.1 Installed DiffEqBayes ────────────────────── v3.11.0 Installed StrideArraysCore ───────────────── v0.5.8 Installed PrecompileTools ────────────────── v1.3.3 Installed StatsAPI ───────────────────────── v1.8.0 Installed Optimization ───────────────────── v5.4.0 Installed ExproniconLite ─────────────────── v0.10.14 Installed ProgressMeter ──────────────────── v1.11.0 Installed StructArrays ───────────────────── v0.7.2 Installed TimerOutputs ───────────────────── v0.5.29 Installed OffsetArrays ───────────────────── v1.17.0 Installed TupleTools ─────────────────────── v1.6.0 Installed LogDensityProblems ─────────────── v2.2.0 Installed Ratios ─────────────────────────── v0.4.5 Installed ChainRulesCore ─────────────────── v1.26.0 Installed IfElse ─────────────────────────── v0.1.1 Installed CPUSummary ─────────────────────── v0.2.7 Installed NamedTupleTools ────────────────── v0.14.3 Installed Parameters ─────────────────────── v0.12.3 Installed MuladdMacro ────────────────────── v0.2.4 Installed StanBase ───────────────────────── v4.12.2 Installed DiffEqNoiseProcess ─────────────── v5.27.0 Installed SciMLLogging ───────────────────── v1.9.0 Installed PtrArrays ──────────────────────── v1.3.0 Installed ScientificTypesBase ────────────── v3.1.0 Installed SimpleNonlinearSolve ───────────── v2.10.0 Installed EllipticalSliceSampling ────────── v2.0.0 Installed IntervalSets ───────────────────── v0.7.13 Installed SpecialFunctions ───────────────── v2.7.1 Installed LazyStack ──────────────────────── v0.1.3 Installed AbstractMCMC ───────────────────── v5.14.0 Installed SSMProblems ────────────────────── v0.6.1 Installed ChangesOfVariables ─────────────── v0.1.10 Installed PolyesterWeave ─────────────────── v0.2.2 Installed MLJModelInterface ──────────────── v1.12.1 Installed Strided ────────────────────────── v2.3.2 Installed LineSearches ───────────────────── v7.5.1 Installed CommonMark ─────────────────────── v0.10.3 Installing 5 artifacts Installed artifact Rmath 121.9 KiB Installed artifact OpenSpecFun 194.9 KiB Installed artifact JpegTurbo 1.4 MiB Installed artifact testfiles 6.2 MiB Installed artifact Ghostscript 31.4 MiB Updating `~/.julia/environments/v1.14/Project.toml` [ebbdde9d] + DiffEqBayes v3.11.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [621f4979] + AbstractFFTs v1.5.0 [80f14c24] + AbstractMCMC v5.14.0 ⌅ [7a57a42e] + AbstractPPL v0.13.6 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.43 [79e6a3ab] + Adapt v4.4.0 [0bf59076] + AdvancedHMC v0.8.3 [5b7e9947] + AdvancedMH v0.8.10 [576499cb] + AdvancedPS v0.7.2 [b5ca4192] + AdvancedVI v0.6.2 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [ec485272] + ArnoldiMethod v0.4.0 [4fba245c] + ArrayInterface v7.22.0 [4c555306] + ArrayLayouts v1.12.2 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.8 [198e06fe] + BangBang v0.4.8 [9718e550] + Baselet v0.1.1 [e2ed5e7c] + Bijections v0.2.2 [76274a88] + Bijectors v0.15.16 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] + BlockArrays v1.9.3 [70df07ce] + BracketingNonlinearSolve v1.8.0 [2a0fbf3d] + CPUSummary v0.2.7 [336ed68f] + CSV v0.10.16 [082447d4] + ChainRules v1.73.0 [d360d2e6] + ChainRulesCore v1.26.0 [0ca39b1e] + Chairmarks v1.3.1 [9e997f8a] + ChangesOfVariables v0.1.10 [fb6a15b2] + CloseOpenIntervals v0.1.13 [944b1d66] + CodecZlib v0.7.8 ⌅ [861a8166] + Combinatorics v1.0.2 ⌅ [a80b9123] + CommonMark v0.10.3 [38540f10] + CommonSolve v0.2.6 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [5224ae11] + CompatHelperLocal v0.1.29 [b152e2b5] + CompositeTypes v0.1.4 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.6.0 [adafc99b] + CpuId v0.3.1 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.8.1 [864edb3b] + DataStructures v0.19.3 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [b429d917] + DensityInterface v0.4.0 [2b5f629d] + DiffEqBase v6.205.1 [ebbdde9d] + DiffEqBayes v3.11.0 [459566f4] + DiffEqCallbacks v4.12.0 [77a26b50] + DiffEqNoiseProcess v5.27.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.16 [8d63f2c5] + DispatchDoctor v0.4.28 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.123 [ced4e74d] + DistributionsAD v0.6.58 [ffbed154] + DocStringExtensions v0.9.5 [5b8099bc] + DomainSets v0.7.16 [bbc10e6e] + DynamicHMC v3.6.0 [366bfd00] + DynamicPPL v0.39.13 [7c1d4256] + DynamicPolynomials v0.6.4 [06fc5a27] + DynamicQuantities v1.11.0 [cad2338a] + EllipticalSliceSampling v2.0.0 [4e289a0a] + EnumX v1.0.6 [f151be2c] + EnzymeCore v0.8.18 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [b86e33f2] + FFTA v0.3.1 [7034ab61] + FastBroadcast v0.3.5 [9aa1b823] + FastClosures v0.3.2 [a4df4552] + FastPower v1.3.1 [48062228] + FilePathsBase v0.9.24 [1a297f60] + FillArrays v1.16.0 [64ca27bc] + FindFirstFunctions v1.8.0 [6a86dc24] + FiniteDiff v2.29.0 [1fa38f19] + Format v1.3.7 [f6369f11] + ForwardDiff v1.3.2 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [d9f16b24] + Functors v0.5.2 [46192b85] + GPUArraysCore v0.2.0 [c27321d9] + Glob v1.4.0 [86223c79] + Graphs v1.13.4 [34004b35] + HypergeometricFunctions v0.3.28 [615f187c] + IfElse v0.1.1 [3263718b] + ImplicitDiscreteSolve v1.7.0 [d25df0c9] + Inflate v0.1.5 [22cec73e] + InitialValues v0.3.1 [842dd82b] + InlineStrings v1.4.5 [18e54dd8] + IntegerMathUtils v0.1.3 [a98d9a8b] + Interpolations v0.16.2 [8197267c] + IntervalSets v0.7.13 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 ⌅ [682c06a0] + JSON v0.21.4 [ae98c720] + Jieko v0.2.1 [98e50ef6] + JuliaFormatter v2.3.0 ⌅ [70703baa] + JuliaSyntax v0.4.10 [ccbc3e58] + JumpProcesses v9.22.0 [5ab0869b] + KernelDensity v0.6.11 [ba0b0d4f] + Krylov v0.10.5 [b964fa9f] + LaTeXStrings v1.4.0 [2ee39098] + LabelledArrays v1.18.0 [23fbe1c1] + Latexify v0.16.10 [10f19ff3] + LayoutPointers v0.1.17 [1fad7336] + LazyStack v0.1.3 [1d6d02ad] + LeftChildRightSiblingTrees v0.2.1 [6f1fad26] + Libtask v0.9.10 [87fe0de2] + LineSearch v0.1.6 ⌃ [d3d80556] + LineSearches v7.5.1 [7ed4a6bd] + LinearSolve v3.58.0 [6fdf6af0] + LogDensityProblems v2.2.0 [996a588d] + LogDensityProblemsAD v1.13.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [c7f686f2] + MCMCChains v7.7.0 [be115224] + MCMCDiagnosticTools v0.3.16 [e80e1ace] + MLJModelInterface v1.12.1 [d8e11817] + MLStyle v0.4.17 [1914dd2f] + MacroTools v0.5.16 [d125e4d3] + ManualMemory v0.1.8 [dbb5928d] + MappedArrays v0.4.3 [bb5d69b7] + MaybeInplace v0.1.4 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [dbe65cb8] + MistyClosures v2.1.0 ⌅ [961ee093] + ModelingToolkit v10.32.1 [2e0e35c7] + Moshi v0.3.7 [46d2c3a1] + MuladdMacro v0.2.4 [102ac46a] + MultivariatePolynomials v0.5.13 [d8a4904e] + MutableArithmetics v1.6.7 ⌅ [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 [86f7a689] + NamedArrays v0.10.5 [d9ec5142] + NamedTupleTools v0.14.3 [c020b1a1] + NaturalSort v1.0.0 ⌃ [be0214bd] + NonlinearSolveBase v2.11.2 ⌅ [5959db7a] + NonlinearSolveFirstOrder v1.11.1 [6fe1bfb0] + OffsetArrays v1.17.0 ⌅ [429524aa] + Optim v1.13.3 [3bd65402] + Optimisers v0.4.7 ⌃ [7f7a1694] + Optimization v5.4.0 ⌅ [bca83a33] + OptimizationBase v4.2.0 ⌃ [36348300] + OptimizationOptimJL v0.4.8 [bac558e1] + OrderedCollections v1.8.1 [bbf590c4] + OrdinaryDiffEqCore v3.5.2 [90014a1f] + PDMats v0.11.37 [65ce6f38] + PackageExtensionCompat v1.0.2 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.3 [e409e4f3] + PoissonRandom v0.4.7 [f517fe37] + Polyester v0.7.19 [1d0040c9] + PolyesterWeave v0.2.2 [2dfb63ee] + PooledArrays v1.4.3 [85a6dd25] + PositiveFactorizations v0.2.4 ⌃ [d236fae5] + PreallocationTools v0.4.34 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [08abe8d2] + PrettyTables v3.2.3 [27ebfcd6] + Primes v0.5.7 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [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 v3.48.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [ae5879a3] + ResettableStacks v1.2.0 [79098fc4] + Rmath v0.9.0 [f2b01f46] + Roots v2.2.10 [7e49a35a] + RuntimeGeneratedFunctions v0.5.17 [9dfe8606] + SCCNonlinearSolve v1.11.0 [94e857df] + SIMDTypes v0.1.0 [26aad666] + SSMProblems v0.6.1 [0bca4576] + SciMLBase v2.139.0 [19f34311] + SciMLJacobianOperators v0.1.12 [a6db7da4] + SciMLLogging v1.9.0 [c0aeaf25] + SciMLOperators v1.15.1 [431bcebd] + SciMLPublic v1.0.1 [53ae85a6] + SciMLStructures v1.10.0 [30f210dd] + ScientificTypesBase v3.1.0 [91c51154] + SentinelArrays v1.4.9 [efcf1570] + Setfield v1.1.2 [727e6d20] + SimpleNonlinearSolve v2.10.0 [699a6c99] + SimpleTraits v0.9.5 [a2af1166] + SortingAlgorithms v1.2.2 [9f842d2f] + SparseConnectivityTracer v1.2.1 [dc90abb0] + SparseInverseSubset v0.1.2 [0a514795] + SparseMatrixColorings v0.4.23 [276daf66] + SpecialFunctions v2.7.1 [171d559e] + SplittablesBase v0.1.15 [d0ee94f6] + StanBase v4.12.2 ⌃ [c1514b29] + StanSample v7.1.1 [aedffcd0] + Static v1.3.1 [0d7ed370] + StaticArrayInterface v1.9.0 [90137ffa] + StaticArrays v1.9.16 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.10 [4c63d2b9] + StatsFuns v1.5.2 [7792a7ef] + StrideArraysCore v0.5.8 [5e0ebb24] + Strided v2.3.2 [4db3bf67] + StridedViews v0.4.3 [892a3eda] + StringManipulation v0.4.2 [09ab397b] + StructArrays v0.7.2 [2efcf032] + SymbolicIndexingInterface v0.3.46 ⌅ [19f23fe9] + SymbolicLimits v0.2.3 ⌅ [d1185830] + SymbolicUtils v3.32.0 ⌅ [0c5d862f] + Symbolics v6.58.0 [ab02a1b2] + TableOperations v1.2.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [ed4db957] + TaskLocalValues v0.1.3 [02d47bb6] + TensorCast v0.4.9 [8ea1fca8] + TermInterface v2.0.0 [5d786b92] + TerminalLoggers v0.1.7 [1c621080] + TestItems v1.0.0 [8290d209] + ThreadingUtilities v0.5.5 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [28d57a85] + Transducers v0.4.85 [84d833dd] + TransformVariables v0.8.19 [f9bc47f6] + TransformedLogDensities v1.1.1 [24ddb15e] + TransmuteDims v0.1.17 [410a4b4d] + Tricks v0.1.13 [781d530d] + TruncatedStacktraces v1.4.0 [9d95972d] + TupleTools v1.6.0 [fce5fe82] + Turing v0.42.8 [5c2747f8] + URIs v1.6.1 [3a884ed6] + UnPack v1.0.2 [1986cc42] + Unitful v1.28.0 [a7c27f48] + Unityper v0.1.6 [ea10d353] + WeakRefStrings v1.4.2 [efce3f68] + WoodburyMatrices v1.1.0 [76eceee3] + WorkerUtilities v1.6.1 [700de1a5] + ZygoteRules v0.2.7 [61579ee1] + Ghostscript_jll v9.55.1+0 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0 [aacddb02] + JpegTurbo_jll v3.1.4+0 [856f044c] + MKL_jll v2025.2.0+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [1317d2d5] + oneTBB_jll v2022.0.0+1 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.18.0+0 [e37daf67] + LibGit2_jll v1.9.2+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.30+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.5+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.68.0+1 [3f19e933] + p7zip_jll v17.7.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 20.9s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 4608.2 ms ✓ TestEnv 1 dependency successfully precompiled in 5 seconds. 27 already precompiled. ┌ Warning: could not download https://pkg.julialang.org/registries │ exception = RequestError: Could not resolve host: pkg.julialang.org while requesting https://pkg.julialang.org/registries └ @ Pkg.Registry /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Registry/Registry.jl:121 ┌ Warning: could not download https://pkg.julialang.org/registries │ exception = RequestError: Could not resolve host: pkg.julialang.org while requesting https://pkg.julialang.org/registries └ @ Pkg.Registry /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Registry/Registry.jl:121 Precompiling package dependencies... Precompiling packages... 3760.1 ms ✓ MacroTools 1282.5 ms ✓ InlineStrings 750.2 ms ✓ Reexport 1006.8 ms ✓ MappedArrays 1146.5 ms ✓ ConstructionBase 1971.5 ms ✓ IrrationalConstants 881.3 ms ✓ ChangesOfVariables 843.0 ms ✓ DataValueInterfaces 758.1 ms ✓ MistyClosures 915.8 ms ✓ StatsAPI 2303.8 ms ✓ Format 1158.8 ms ✓ IterTools 1091.5 ms ✓ IntervalSets 2037.8 ms ✓ Combinatorics 23452.5 ms ✓ JuliaSyntax 1014.0 ms ✓ Inflate 889.5 ms ✓ ArgCheck 816.3 ms ✓ TermInterface 749.9 ms ✓ CommonSolve 1292.0 ms ✓ TranscodingStreams 1028.8 ms ✓ TupleTools 835.3 ms ✓ LaTeXStrings 947.9 ms ✓ Glob 2238.5 ms ✓ Baselet 769.2 ms ✓ TestItems 1122.5 ms ✓ Statistics 926.3 ms ✓ Tricks 1001.7 ms ✓ StaticArraysCore 1327.8 ms ✓ EnzymeCore 953.3 ms ✓ CompositeTypes 861.9 ms ✓ IfElse 893.7 ms ✓ PtrArrays 839.8 ms ✓ TaskLocalValues 788.9 ms ✓ NaturalSort 937.4 ms ✓ NamedTupleTools 924.3 ms ✓ ManualMemory 948.9 ms ✓ PositiveFactorizations 861.9 ms ✓ DataAPI 869.5 ms ✓ SciMLPublic 3523.3 ms ✓ ExproniconLite 791.3 ms ✓ RealDot 793.9 ms ✓ CommonWorldInvalidations 1165.4 ms ✓ URIs 1003.4 ms ✓ FastPower 25039.3 ms ✓ MLStyle 1656.3 ms ✓ RandomNumbers 905.3 ms ✓ InvertedIndices 1010.4 ms ✓ InverseFunctions 810.5 ms ✓ SafeTestsets 852.6 ms ✓ CompositionsBase 1206.5 ms ✓ AbstractTrees 1585.0 ms ✓ InitialValues 823.7 ms ✓ MuladdMacro 1076.7 ms ✓ AbstractFFTs 875.6 ms ✓ EnumX 1018.0 ms ✓ WorkerUtilities 994.3 ms ✓ Bijections 2196.3 ms ✓ FillArrays 934.9 ms ✓ ExprTools 850.1 ms ✓ IntegerMathUtils 820.7 ms ✓ UnPack 835.2 ms ✓ ConcreteStructs 875.9 ms ✓ RangeArrays 1264.2 ms ✓ OrderedCollections 1473.2 ms ✓ FunctionWrappers 1456.5 ms ✓ ADTypes 1197.1 ms ✓ DocStringExtensions 1173.6 ms ✓ ProgressLogging 869.3 ms ✓ FastClosures 858.5 ms ✓ DefineSingletons 1661.1 ms ✓ OffsetArrays 774.2 ms ✓ SIMDTypes 773.6 ms ✓ IteratorInterfaceExtensions 798.2 ms ✓ PackageExtensionCompat 1839.2 ms ✓ Crayons 986.7 ms ✓ DelimitedFiles 14761.7 ms ✓ Krylov 2487.9 ms ✓ GenericSchur 3010.6 ms ✓ Chairmarks 1051.8 ms ✓ NaNMath 1224.6 ms ✓ Requires 1805.7 ms ✓ CpuId 1772.8 ms ✓ PDMats 1360.7 ms ✓ SparseInverseSubset 1503.7 ms ✓ WoodburyMatrices 33515.3 ms ✓ Unitful 2097.8 ms ✓ SentinelArrays 1138.1 ms ✓ LoggingExtras 1856.1 ms ✓ ProgressMeter 1412.1 ms ✓ ScientificTypesBase 1301.9 ms ✓ Compat 1180.2 ms ✓ Preferences 12360.9 ms ✓ MutableArithmetics 5518.5 ms ✓ CompatHelperLocal 1725.9 ms ✓ CommonSubexpressions 3425.9 ms ✓ SimpleTraits 829.1 ms ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 4416.5 ms ✓ ChangesOfVariables → ChangesOfVariablesTestExt 2932.2 ms ✓ Libtask 822.1 ms ✓ IntervalSets → IntervalSetsRandomExt 809.1 ms ✓ ConstructionBase → ConstructionBaseIntervalSetsExt 1135.9 ms ✓ CodecZlib 1393.8 ms ✓ Statistics → SparseArraysExt 1562.8 ms ✓ Distances 808.1 ms ✓ IntervalSets → IntervalSetsStatisticsExt 901.0 ms ✓ DiffResults 1009.7 ms ✓ AliasTables 1871.7 ms ✓ ThreadingUtilities 1037.7 ms ✓ Missings 1035.1 ms ✓ PooledArrays 3454.8 ms ✓ Jieko 1976.1 ms ✓ Random123 879.2 ms ✓ InverseFunctions → InverseFunctionsDatesExt 1682.5 ms ✓ InverseFunctions → InverseFunctionsTestExt 879.5 ms ✓ ChangesOfVariables → ChangesOfVariablesInverseFunctionsExt 860.4 ms ✓ CompositionsBase → CompositionsBaseInverseFunctionsExt 876.6 ms ✓ LeftChildRightSiblingTrees 4342.2 ms ✓ AbstractFFTs → AbstractFFTsTestExt 1509.7 ms ✓ FillArrays → FillArraysSparseArraysExt 922.2 ms ✓ FillArrays → FillArraysStatisticsExt 3177.1 ms ✓ TimerOutputs 948.6 ms ✓ RuntimeGeneratedFunctions 1196.8 ms ✓ Primes 946.3 ms ✓ Parameters 3550.1 ms ✓ DataStructures 791.0 ms ✓ FunctionWrappersWrappers 815.6 ms ✓ ADTypes → ADTypesConstructionBaseExt 1957.2 ms ✓ DifferentiationInterface 799.6 ms ✓ ADTypes → ADTypesEnzymeCoreExt 1330.5 ms ✓ LogExpFunctions 1968.9 ms ✓ LogDensityProblems 775.1 ms ✓ TableTraits 1001.2 ms ✓ StridedViews 860.2 ms ✓ Chairmarks → StatisticsChairmarksExt 857.2 ms ✓ Ratios 962.9 ms ✓ Adapt 1473.4 ms ✓ FillArrays → FillArraysPDMatsExt 1370.6 ms ✓ AxisAlgorithms 2117.1 ms ✓ Unitful → ConstructionBaseUnitfulExt 2281.7 ms ✓ Unitful → PrintfExt 1960.5 ms ✓ Unitful → InverseFunctionsUnitfulExt 2031.6 ms ✓ Unitful → NaNMathExt 958.1 ms ✓ ConsoleProgressMonitor 1357.7 ms ✓ StatisticalTraits 924.2 ms ✓ Compat → CompatLinearAlgebraExt 961.2 ms ✓ PrecompileTools 1177.1 ms ✓ JLLWrappers 3983.7 ms ✓ DispatchDoctor 1627.6 ms ✓ TruncatedStacktraces 1443.2 ms ✓ SciMLLogging 1360.2 ms ✓ Unityper 3095.2 ms ✓ Setfield 1521.9 ms ✓ AxisArrays 2167.8 ms ✓ NamedArrays 972.6 ms ✓ Distances → DistancesSparseArraysExt 16672.5 ms ✓ Moshi 1749.4 ms ✓ DensityInterface 5365.9 ms ✓ Accessors 1919.3 ms ✓ TerminalLoggers 8746.9 ms ✓ SparseConnectivityTracer 2350.0 ms ✓ FFTA 1034.3 ms ✓ SortingAlgorithms 2306.7 ms ✓ QuadGK 5185.7 ms ✓ MultivariatePolynomials 1382.8 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 875.1 ms ✓ LogExpFunctions → LogExpFunctionsChangesOfVariablesExt 834.9 ms ✓ LogExpFunctions → LogExpFunctionsInverseFunctionsExt 980.7 ms ✓ PoissonRandom 1272.7 ms ✓ LogDensityProblemsAD 1872.5 ms ✓ Tables 801.0 ms ✓ StridedViews → StridedViewsPtrArraysExt 1218.1 ms ✓ Strided 1195.3 ms ✓ ArrayInterface 1366.3 ms ✓ Adapt → AdaptSparseArraysExt 1277.8 ms ✓ GPUArraysCore 812.9 ms ✓ EnzymeCore → AdaptExt 900.3 ms ✓ OffsetArrays → OffsetArraysAdaptExt 3309.8 ms ✓ MLJModelInterface 2646.0 ms ✓ ChainRulesCore 2089.5 ms ✓ FilePathsBase 1322.6 ms ✓ Functors 3119.5 ms ✓ StringManipulation 13702.0 ms ✓ StaticArrays 16745.8 ms ✓ CommonMark 1728.8 ms ✓ FindFirstFunctions 2827.9 ms ✓ RecipesBase 15649.2 ms ✓ Parsers 6840.0 ms ✓ Static 12059.6 ms ✓ SparseMatrixColorings 1442.3 ms ✓ Rmath_jll 1423.4 ms ✓ OpenSpecFun_jll 5294.1 ms ✓ IntelOpenMP_jll 5327.7 ms ✓ oneTBB_jll 1508.3 ms ✓ JpegTurbo_jll 994.7 ms ✓ DispatchDoctor → DispatchDoctorEnzymeCoreExt 9480.8 ms ✓ DynamicQuantities 3653.9 ms ✓ SplittablesBase 1845.1 ms ✓ Accessors → TestExt 2728.0 ms ✓ Accessors → IntervalSetsExt 2619.4 ms ✓ Accessors → LinearAlgebraExt 2410.0 ms ✓ Accessors → UnitfulExt 3062.8 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerNaNMathExt 2808.2 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerLogExpFunctionsExt 1789.9 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseConnectivityTracerExt 4594.3 ms ✓ StatsBase 4518.0 ms ✓ DynamicPolynomials 1063.0 ms ✓ LogDensityProblemsAD → LogDensityProblemsADADTypesExt 1581.5 ms ✓ StructArrays 1355.4 ms ✓ TableOperations 783.5 ms ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 1946.8 ms ✓ MaybeInplace 1303.5 ms ✓ ArrayInterface → ArrayInterfaceSparseArraysExt 1333.1 ms ✓ SciMLStructures 1677.3 ms ✓ PreallocationTools 904.0 ms ✓ DifferentiationInterface → DifferentiationInterfaceGPUArraysCoreExt 877.1 ms ✓ ArrayInterface → ArrayInterfaceGPUArraysCoreExt 1361.8 ms ✓ ChainRulesCore → ChainRulesCoreSparseArraysExt 1092.0 ms ✓ LazyStack 2413.3 ms ✓ ZygoteRules 1344.4 ms ✓ EnzymeCore → EnzymeCoreChainRulesCoreExt 1035.9 ms ✓ AbstractFFTs → AbstractFFTsChainRulesCoreExt 879.9 ms ✓ ADTypes → ADTypesChainRulesCoreExt 1059.8 ms ✓ Distances → DistancesChainRulesCoreExt 1030.1 ms ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt 3641.4 ms ✓ LogExpFunctions → LogExpFunctionsChainRulesCoreExt 1315.7 ms ✓ TransmuteDims 1476.5 ms ✓ DispatchDoctor → DispatchDoctorChainRulesCoreExt 1742.9 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerChainRulesCoreExt 5287.5 ms ✓ MultivariatePolynomials → MultivariatePolynomialsChainRulesCoreExt 905.0 ms ✓ ArrayInterface → ArrayInterfaceChainRulesCoreExt 2752.2 ms ✓ FilePathsBase → FilePathsBaseTestExt 971.3 ms ✓ FilePathsBase → FilePathsBaseMmapExt 2667.0 ms ✓ Optimisers 39989.5 ms ✓ PrettyTables 3987.2 ms ✓ ArnoldiMethod 1486.5 ms ✓ ResettableStacks 1472.7 ms ✓ StaticArrays → StaticArraysStatisticsExt 1566.6 ms ✓ StaticArrays → StaticArraysChainRulesCoreExt 1484.1 ms ✓ ConstructionBase → ConstructionBaseStaticArraysExt 5161.7 ms ✓ DomainSets 1653.0 ms ✓ FillArrays → FillArraysStaticArraysExt 1491.7 ms ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt 1468.3 ms ✓ Adapt → AdaptStaticArraysExt 1607.7 ms ✓ Accessors → StaticArraysExt 59905.1 ms ✓ JuliaFormatter 1949.0 ms ✓ CommonMark → CommonMarkMarkdownExt 1315.3 ms ✓ IntervalSets → IntervalSetsRecipesBaseExt 3903.7 ms ✓ JSON 966.0 ms ✓ InlineStrings → ParsersExt 978.4 ms ✓ BitTwiddlingConvenienceFunctions 2386.2 ms ✓ CPUSummary 4928.4 ms ✓ StaticArrayInterface 1820.7 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseMatrixColoringsExt 1572.7 ms ✓ Rmath 4555.7 ms ✓ SpecialFunctions  Downloading artifact: IntelOpenMP  Downloading artifact: oneTBB 10050.6 ms ✓ MKL_jll 1612.2 ms ✓ Ghostscript_jll 2006.5 ms ✓ DynamicQuantities → DynamicQuantitiesLinearAlgebraExt 4050.7 ms ✓ DynamicQuantities → DynamicQuantitiesUnitfulExt 1906.5 ms ✓ BangBang 7068.3 ms ✓ Roots 4730.9 ms ✓ SciMLOperators 1617.1 ms ✓ PDMats → StatsBaseExt 1253.3 ms ✓ LogDensityProblemsAD → LogDensityProblemsADDifferentiationInterfaceExt 1569.2 ms ✓ StructArrays → StructArraysSparseArraysExt 946.6 ms ✓ StructArrays → StructArraysLinearAlgebraExt 863.1 ms ✓ StructArrays → StructArraysAdaptExt 1600.6 ms ✓ StructArrays → StructArraysStaticArraysExt 1086.2 ms ✓ Accessors → StructArraysExt 1350.4 ms ✓ FiniteDiff 3714.7 ms ✓ SymbolicIndexingInterface 1378.1 ms ✓ MaybeInplace → MaybeInplaceSparseArraysExt 1930.9 ms ✓ PreallocationTools → PreallocationToolsSparseConnectivityTracerExt 41369.4 ms ✓ ExponentialUtilities 905.4 ms ✓ Optimisers → OptimisersEnzymeCoreExt 1031.7 ms ✓ Optimisers → OptimisersAdaptExt 81862.2 ms ✓ DataFrames 9775.0 ms ✓ Graphs 1585.4 ms ✓ DomainSets → DomainSetsRandomExt 22798.0 ms ✓ ArrayLayouts 4316.7 ms ✓ Interpolations 19642.5 ms ✓ TensorCast 2513.9 ms ✓ WeakRefStrings 1704.4 ms ✓ PolyesterWeave 1083.7 ms ✓ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt 1608.8 ms ✓ StaticArrayInterface → StaticArrayInterfaceStaticArraysExt 1114.9 ms ✓ CloseOpenIntervals 1351.4 ms ✓ LayoutPointers 4469.6 ms ✓ SpecialFunctions → SpecialFunctionsChainRulesCoreExt 5011.3 ms ✓ FastGaussQuadrature 2167.1 ms ✓ HypergeometricFunctions 1342.0 ms ✓ DiffRules 3532.4 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerSpecialFunctionsExt 6171.8 ms ✓ Latexify 1177.4 ms ✓ BangBang → BangBangChainRulesCoreExt 1154.5 ms ✓ BangBang → BangBangTablesExt 1169.4 ms ✓ BangBang → BangBangStructArraysExt 1791.1 ms ✓ BangBang → BangBangStaticArraysExt 2713.9 ms ✓ MicroCollections 1169.3 ms ✓ Roots → RootsChainRulesCoreExt 2381.1 ms ✓ Roots → RootsUnitfulExt 1054.1 ms ✓ SciMLOperators → SciMLOperatorsStaticArraysCoreExt 1556.0 ms ✓ SciMLOperators → SciMLOperatorsSparseArraysExt 12637.7 ms ✓ ChainRules 1504.6 ms ✓ FiniteDiff → FiniteDiffStaticArraysExt 1410.5 ms ✓ FiniteDiff → FiniteDiffSparseArraysExt 1037.3 ms ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt 3617.1 ms ✓ SymbolicIndexingInterface → SymbolicIndexingInterfacePrettyTablesExt 8051.5 ms ✓ RecursiveArrayTools 6338.0 ms ✓ ExponentialUtilities → ExponentialUtilitiesStaticArraysExt 7043.0 ms ✓ BangBang → BangBangDataFramesExt 3318.8 ms ✓ Graphs → GraphsSharedArraysExt 3646.5 ms ✓ ArrayLayouts → ArrayLayoutsSparseArraysExt 4972.6 ms ✓ BlockArrays 3687.0 ms ✓ Interpolations → InterpolationsUnitfulExt 12345.4 ms ✓ DynamicHMC 25682.8 ms ✓ CSV 1964.4 ms ✓ StrideArraysCore 39850.0 ms ✓ SymbolicUtils 2717.3 ms ✓ StatsFuns 6242.2 ms ✓ ForwardDiff 2232.7 ms ✓ Latexify → SparseArraysExt 6539.2 ms ✓ Latexify → DataFramesExt 4186.2 ms ✓ Unitful → LatexifyExt 7419.8 ms ✓ Transducers 1531.4 ms ✓ ArrayInterface → ArrayInterfaceChainRulesExt 1883.9 ms ✓ RecursiveArrayTools → RecursiveArrayToolsSparseArraysExt 1367.3 ms ✓ RecursiveArrayTools → RecursiveArrayToolsTablesExt 1276.5 ms ✓ RecursiveArrayTools → RecursiveArrayToolsStatisticsExt 1439.7 ms ✓ RecursiveArrayTools → RecursiveArrayToolsStructArraysExt 2936.6 ms ✓ BlockArrays → BlockArraysAdaptExt 9505.5 ms ✓ StanBase 1907.8 ms ✓ Polyester 6455.9 ms ✓ SymbolicLimits 3512.9 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 1033.2 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt 8629.3 ms ✓ Distributions 1617.6 ms ✓ ForwardDiff → ForwardDiffStaticArraysExt 1080.2 ms ✓ FastPower → FastPowerForwardDiffExt 2223.0 ms ✓ Unitful → ForwardDiffExt 1353.5 ms ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 1383.7 ms ✓ LogDensityProblemsAD → LogDensityProblemsADForwardDiffExt 1129.5 ms ✓ PreallocationTools → PreallocationToolsForwardDiffExt 1271.6 ms ✓ Roots → RootsForwardDiffExt 2534.2 ms ✓ Interpolations → InterpolationsForwardDiffExt 1386.6 ms ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt 7482.9 ms ✓ Transducers → TransducersDataFramesExt 1767.1 ms ✓ Transducers → TransducersAdaptExt 5398.8 ms ✓ Transducers → TransducersBlockArraysExt 3985.5 ms ✓ AbstractMCMC 29068.4 ms ✓ SciMLBase ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 10694.5 ms ✓ StanSample 1865.9 ms ✓ FastBroadcast 3374.0 ms ✓ Distributions → DistributionsTestExt 2951.2 ms ✓ Distributions → DistributionsDensityInterfaceExt 2888.5 ms ✓ Distributions → DistributionsChainRulesCoreExt 4641.2 ms ✓ MCMCDiagnosticTools 3744.5 ms ✓ TransformVariables 1824.9 ms ✓ NLSolversBase 5535.9 ms ✓ LabelledArrays 6119.8 ms ✓ AdvancedHMC 3581.2 ms ✓ AbstractPPL 3276.7 ms ✓ SciMLBase → SciMLBaseChainRulesCoreExt 3933.4 ms ✓ SciMLBase → SciMLBaseForwardDiffExt 3189.2 ms ✓ SciMLBase → SciMLBaseDifferentiationInterfaceExt 4409.1 ms ✓ SciMLBase → SciMLBaseDistributionsExt 4258.0 ms ✓ SciMLBase → SciMLBaseMLStyleExt 3254.2 ms ✓ SCCNonlinearSolve 2241.1 ms ✓ RecursiveArrayTools → RecursiveArrayToolsFastBroadcastExt 3876.3 ms ✓ SSMProblems 4393.2 ms ✓ AdvancedMH 3604.9 ms ✓ EllipticalSliceSampling 3650.8 ms ✓ KernelDensity 7686.8 ms ✓ Bijectors 5654.3 ms ✓ AdvancedVI 8315.4 ms ✓ DistributionsAD 1958.0 ms ✓ TransformVariables → AccessorsExt 1592.9 ms ✓ TransformVariables → ChangesOfVariablesExt 1607.1 ms ✓ TransformVariables → InverseFunctionsExt 1894.4 ms ✓ TransformedLogDensities 2271.4 ms ✓ LineSearches 6373.0 ms ✓ SymbolicUtils → SymbolicUtilsLabelledArraysExt 3328.1 ms ✓ AdvancedHMC → AdvancedHMCADTypesExt 5071.5 ms ✓ AbstractPPL → AbstractPPLDistributionsExt 17314.1 ms ✓ LinearSolve 6712.2 ms ✓ OptimizationBase 7515.1 ms ✓ SciMLJacobianOperators 50003.4 ms ✓ Symbolics 2917.8 ms ✓ SCCNonlinearSolve → SCCNonlinearSolveChainRulesCoreExt 4048.4 ms ✓ AdvancedPS 3242.9 ms ✓ AdvancedMH → AdvancedMHStructArraysExt 3370.3 ms ✓ AdvancedMH → AdvancedMHForwardDiffExt 8236.6 ms ✓ MCMCChains 3554.3 ms ✓ Bijectors → BijectorsEnzymeCoreExt 2560.8 ms ✓ Bijectors → BijectorsForwardDiffExt 2708.8 ms ✓ AdvancedVI → AdvancedVIBijectorsExt 2669.7 ms ✓ DistributionsAD → DistributionsADForwardDiffExt 2675.2 ms ✓ Bijectors → BijectorsDistributionsADExt 5574.2 ms ✓ Optim 16824.0 ms ✓ DynamicPPL 6791.4 ms ✓ LinearSolve → LinearSolveSparseArraysExt 5972.2 ms ✓ LinearSolve → LinearSolveForwardDiffExt 688.4 ms ✓ OptimizationBase → OptimizationFiniteDiffExt 944.1 ms ✓ OptimizationBase → OptimizationForwardDiffExt 3844.7 ms ✓ Optimization 9807.7 ms ✓ LineSearch 16047.1 ms ✓ NonlinearSolveBase 10385.3 ms ✓ Symbolics → SymbolicsForwardDiffExt 9257.8 ms ✓ DifferentiationInterface → DifferentiationInterfaceSymbolicsExt 3719.8 ms ✓ AdvancedPS → AdvancedPSLibtaskExt 5533.2 ms ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt 5345.2 ms ✓ AdvancedMH → AdvancedMHMCMCChainsExt 4220.5 ms ✓ DynamicPPL → DynamicPPLChainRulesCoreExt 6490.7 ms ✓ DynamicPPL → DynamicPPLMCMCChainsExt 3423.8 ms ✓ DynamicPPL → DynamicPPLForwardDiffExt 2597.6 ms ✓ DynamicPPL → DynamicPPLEnzymeCoreExt 2755.5 ms ✓ LinearSolve → LinearSolveEnzymeExt 22500.0 ms ✓ OptimizationOptimJL 2179.8 ms ✓ LineSearch → LineSearchLineSearchesExt 2280.1 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseMatrixColoringsExt 2501.4 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseArraysExt 1859.3 ms ✓ NonlinearSolveBase → NonlinearSolveBaseChainRulesCoreExt 2504.4 ms ✓ NonlinearSolveBase → NonlinearSolveBaseLinearSolveExt 1807.8 ms ✓ NonlinearSolveBase → NonlinearSolveBaseLineSearchExt 2484.9 ms ✓ NonlinearSolveBase → NonlinearSolveBaseForwardDiffExt 5250.9 ms ✓ BracketingNonlinearSolve 5602.2 ms ✓ Symbolics → SymbolicsPreallocationToolsExt 8503.6 ms ✓ Turing 16285.3 ms ✓ NonlinearSolveQuasiNewton 10185.9 ms ✓ NonlinearSolveSpectralMethods 26826.1 ms ✓ NonlinearSolveFirstOrder 2137.5 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveForwardDiffExt 4586.8 ms ✓ DiffEqBase 7221.8 ms ✓ Turing → TuringDynamicHMCExt 3141.0 ms ✓ NonlinearSolveQuasiNewton → NonlinearSolveQuasiNewtonForwardDiffExt 2605.5 ms ✓ NonlinearSolveSpectralMethods → NonlinearSolveSpectralMethodsForwardDiffExt 1894.4 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveChainRulesCoreExt 10753.1 ms ✓ SimpleNonlinearSolve 2549.4 ms ✓ DiffEqBase → DiffEqBaseSparseArraysExt 2818.9 ms ✓ DiffEqBase → DiffEqBaseUnitfulExt 2509.1 ms ✓ DiffEqBase → DiffEqBaseChainRulesCoreExt 2419.0 ms ✓ DiffEqBase → DiffEqBaseForwardDiffExt 6930.3 ms ✓ DiffEqCallbacks 7102.2 ms ✓ OrdinaryDiffEqCore 2293.8 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveChainRulesCoreExt 4415.4 ms ✓ DiffEqNoiseProcess 2115.5 ms ✓ DiffEqCallbacks → DiffEqCallbacksFunctorsExt 4269.4 ms ✓ SteadyStateDiffEq 4546.3 ms ✓ JumpProcesses 2853.9 ms ✓ OrdinaryDiffEqCore → OrdinaryDiffEqCoreSparseArraysExt 4445.5 ms ✓ OrdinaryDiffEqStabilizedRK 3232.1 ms ✓ OrdinaryDiffEqFunctionMap 33446.0 ms ✓ OrdinaryDiffEqVerner 3549.9 ms ✓ OrdinaryDiffEqQPRK 3797.1 ms ✓ OrdinaryDiffEqSymplecticRK 5344.9 ms ✓ OrdinaryDiffEqLowOrderRK 3802.7 ms ✓ OrdinaryDiffEqFeagin 4569.9 ms ✓ OrdinaryDiffEqSSPRK 3965.6 ms ✓ OrdinaryDiffEqRKN 3931.5 ms ✓ OrdinaryDiffEqHighOrderRK 3451.9 ms ✓ OrdinaryDiffEqExplicitRK 7544.7 ms ✓ OrdinaryDiffEqTsit5 3585.4 ms ✓ OrdinaryDiffEqPRK 5039.2 ms ✓ OrdinaryDiffEqLowStorageRK 19209.2 ms ✓ NonlinearSolve 3285.7 ms ✓ DiffEqNoiseProcess → DiffEqNoiseProcessOptimExt 5616.0 ms ✓ OrdinaryDiffEqLinear 4182.6 ms ✓ ImplicitDiscreteSolve 6451.7 ms ✓ OrdinaryDiffEqDifferentiation 3762.5 ms ✓ OrdinaryDiffEqAdamsBashforthMoulton 3119.9 ms ✓ OrdinaryDiffEqNordsieck 154138.9 ms ✓ ModelingToolkit 3441.0 ms ✓ OrdinaryDiffEqDifferentiation → OrdinaryDiffEqDifferentiationSparseArraysExt 22065.4 ms ✓ ModelingToolkit → MTKLabelledArraysExt 22924.5 ms ✓ ParameterizedFunctions 6704.8 ms ✓ OrdinaryDiffEqExtrapolation 22525.8 ms ✓ OrdinaryDiffEqRosenbrock 7359.4 ms ✓ OrdinaryDiffEqExponentialRK 6606.4 ms ✓ OrdinaryDiffEqNonlinearSolve ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 40098.7 ms ✓ DiffEqBayes 5861.2 ms ✓ OrdinaryDiffEqIMEXMultistep 5880.3 ms ✓ OrdinaryDiffEqStabilizedIRK 6580.5 ms ✓ OrdinaryDiffEqPDIRK 7482.2 ms ✓ OrdinaryDiffEqSDIRK 26960.9 ms ✓ OrdinaryDiffEqFIRK 15353.8 ms ✓ OrdinaryDiffEqBDF 32269.2 ms ✓ OrdinaryDiffEqDefault 9980.9 ms ✓ OrdinaryDiffEq 10252.2 ms ✓ AdvancedHMC → AdvancedHMCOrdinaryDiffEqExt 489 dependencies successfully precompiled in 2358 seconds. 41 already precompiled. 3 dependencies had output during precompilation: ┌ DiffEqBayes │ ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. │ └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 └ ┌ MKL_jll │ Downloading artifact: IntelOpenMP │ Downloading artifact: oneTBB └ ┌ StanSample │ ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. │ └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 └ Precompilation completed after 2377.51s ################################################################################ # Testing # Testing DiffEqBayes Status `/tmp/jl_o5WraR/Project.toml` [47edcb42] ADTypes v1.21.0 [2b5f629d] DiffEqBase v6.205.1 [ebbdde9d] DiffEqBayes v3.11.0 [163ba53b] DiffResults v1.1.0 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.123 [ffbed154] DocStringExtensions v0.9.5 [bbc10e6e] DynamicHMC v3.6.0 [f6369f11] ForwardDiff v1.3.2 [2ee39098] LabelledArrays v1.18.0 [996a588d] LogDensityProblemsAD v1.13.1 [1914dd2f] MacroTools v0.5.16 [e1d29d7a] Missings v1.2.0 ⌅ [961ee093] ModelingToolkit v10.32.1 ⌅ [429524aa] Optim v1.13.3 [1dea7af3] OrdinaryDiffEq v6.108.0 [90014a1f] PDMats v0.11.37 ⌃ [65888b18] ParameterizedFunctions v5.19.0 [d96e819e] Parameters v0.12.3 [731186ca] RecursiveArrayTools v3.48.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [1bc83da4] SafeTestsets v0.1.0 [53ae85a6] SciMLStructures v1.10.0 ⌃ [c1514b29] StanSample v7.1.1 [2913bbd2] StatsBase v0.34.10 [9672c7b4] SteadyStateDiffEq v2.9.0 [09ab397b] StructArrays v0.7.2 [84d833dd] TransformVariables v0.8.19 [f9bc47f6] TransformedLogDensities v1.1.1 [fce5fe82] Turing v0.42.8 [8ba89e20] Distributed v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [44cfe95a] Pkg v1.14.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_o5WraR/Manifest.toml` [47edcb42] ADTypes v1.21.0 [621f4979] AbstractFFTs v1.5.0 [80f14c24] AbstractMCMC v5.14.0 ⌅ [7a57a42e] AbstractPPL v0.13.6 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.4.0 [0bf59076] AdvancedHMC v0.8.3 [5b7e9947] AdvancedMH v0.8.10 [576499cb] AdvancedPS v0.7.2 [b5ca4192] AdvancedVI v0.6.2 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.22.0 [4c555306] ArrayLayouts v1.12.2 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.8 [198e06fe] BangBang v0.4.8 [9718e550] Baselet v0.1.1 [e2ed5e7c] Bijections v0.2.2 [76274a88] Bijectors v0.15.16 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] BlockArrays v1.9.3 [70df07ce] BracketingNonlinearSolve v1.8.0 [2a0fbf3d] CPUSummary v0.2.7 [336ed68f] CSV v0.10.16 [082447d4] ChainRules v1.73.0 [d360d2e6] ChainRulesCore v1.26.0 [0ca39b1e] Chairmarks v1.3.1 [9e997f8a] ChangesOfVariables v0.1.10 [fb6a15b2] CloseOpenIntervals v0.1.13 [944b1d66] CodecZlib v0.7.8 ⌅ [861a8166] Combinatorics v1.0.2 ⌅ [a80b9123] CommonMark v0.10.3 [38540f10] CommonSolve v0.2.6 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [5224ae11] CompatHelperLocal v0.1.29 [b152e2b5] CompositeTypes v0.1.4 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [88cd18e8] ConsoleProgressMonitor v0.1.2 [187b0558] ConstructionBase v1.6.0 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.1 [864edb3b] DataStructures v0.19.3 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [b429d917] DensityInterface v0.4.0 [2b5f629d] DiffEqBase v6.205.1 [ebbdde9d] DiffEqBayes v3.11.0 [459566f4] DiffEqCallbacks v4.12.0 [77a26b50] DiffEqNoiseProcess v5.27.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.16 [8d63f2c5] DispatchDoctor v0.4.28 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.123 [ced4e74d] DistributionsAD v0.6.58 [ffbed154] DocStringExtensions v0.9.5 [5b8099bc] DomainSets v0.7.16 [bbc10e6e] DynamicHMC v3.6.0 [366bfd00] DynamicPPL v0.39.13 [7c1d4256] DynamicPolynomials v0.6.4 [06fc5a27] DynamicQuantities v1.11.0 [cad2338a] EllipticalSliceSampling v2.0.0 [4e289a0a] EnumX v1.0.6 [f151be2c] EnzymeCore v0.8.18 [d4d017d3] ExponentialUtilities v1.30.0 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [b86e33f2] FFTA v0.3.1 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [442a2c76] FastGaussQuadrature v1.1.0 [a4df4552] FastPower v1.3.1 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.16.0 [64ca27bc] FindFirstFunctions v1.8.0 [6a86dc24] FiniteDiff v2.29.0 [1fa38f19] Format v1.3.7 [f6369f11] ForwardDiff v1.3.2 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [d9f16b24] Functors v0.5.2 [46192b85] GPUArraysCore v0.2.0 [c145ed77] GenericSchur v0.5.6 [c27321d9] Glob v1.4.0 [86223c79] Graphs v1.13.4 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [3263718b] ImplicitDiscreteSolve v1.7.0 [d25df0c9] Inflate v0.1.5 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.5 [18e54dd8] IntegerMathUtils v0.1.3 [a98d9a8b] Interpolations v0.16.2 [8197267c] IntervalSets v0.7.13 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 ⌅ [682c06a0] JSON v0.21.4 [ae98c720] Jieko v0.2.1 [98e50ef6] JuliaFormatter v2.3.0 ⌅ [70703baa] JuliaSyntax v0.4.10 [ccbc3e58] JumpProcesses v9.22.0 [5ab0869b] KernelDensity v0.6.11 [ba0b0d4f] Krylov v0.10.5 [b964fa9f] LaTeXStrings v1.4.0 [2ee39098] LabelledArrays v1.18.0 [23fbe1c1] Latexify v0.16.10 [10f19ff3] LayoutPointers v0.1.17 [1fad7336] LazyStack v0.1.3 [1d6d02ad] LeftChildRightSiblingTrees v0.2.1 [6f1fad26] Libtask v0.9.10 [87fe0de2] LineSearch v0.1.6 ⌃ [d3d80556] LineSearches v7.5.1 [7ed4a6bd] LinearSolve v3.58.0 [6fdf6af0] LogDensityProblems v2.2.0 [996a588d] LogDensityProblemsAD v1.13.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 [c7f686f2] MCMCChains v7.7.0 [be115224] MCMCDiagnosticTools v0.3.16 [e80e1ace] MLJModelInterface v1.12.1 [d8e11817] MLStyle v0.4.17 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [dbb5928d] MappedArrays v0.4.3 [bb5d69b7] MaybeInplace v0.1.4 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [dbe65cb8] MistyClosures v2.1.0 ⌅ [961ee093] ModelingToolkit v10.32.1 [2e0e35c7] Moshi v0.3.7 [46d2c3a1] MuladdMacro v0.2.4 [102ac46a] MultivariatePolynomials v0.5.13 [d8a4904e] MutableArithmetics v1.6.7 ⌅ [d41bc354] NLSolversBase v7.10.0 [77ba4419] NaNMath v1.1.3 [86f7a689] NamedArrays v0.10.5 [d9ec5142] NamedTupleTools v0.14.3 [c020b1a1] NaturalSort v1.0.0 ⌃ [8913a72c] NonlinearSolve v4.15.0 ⌃ [be0214bd] NonlinearSolveBase v2.11.2 ⌅ [5959db7a] NonlinearSolveFirstOrder v1.11.1 [9a2c21bd] NonlinearSolveQuasiNewton v1.12.0 [26075421] NonlinearSolveSpectralMethods v1.6.0 [6fe1bfb0] OffsetArrays v1.17.0 ⌅ [429524aa] Optim v1.13.3 [3bd65402] Optimisers v0.4.7 ⌃ [7f7a1694] Optimization v5.4.0 ⌅ [bca83a33] OptimizationBase v4.2.0 ⌃ [36348300] OptimizationOptimJL v0.4.8 [bac558e1] OrderedCollections v1.8.1 [1dea7af3] OrdinaryDiffEq v6.108.0 [89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.9.0 [6ad6398a] OrdinaryDiffEqBDF v1.16.0 [bbf590c4] OrdinaryDiffEqCore v3.5.2 [50262376] OrdinaryDiffEqDefault v1.12.0 [4302a76b] OrdinaryDiffEqDifferentiation v2.0.0 [9286f039] OrdinaryDiffEqExplicitRK v1.9.0 [e0540318] OrdinaryDiffEqExponentialRK v1.13.0 [becaefa8] OrdinaryDiffEqExtrapolation v1.15.0 [5960d6e9] OrdinaryDiffEqFIRK v1.22.0 [101fe9f7] OrdinaryDiffEqFeagin v1.8.0 [d3585ca7] OrdinaryDiffEqFunctionMap v1.9.0 [d28bc4f8] OrdinaryDiffEqHighOrderRK v1.9.0 [9f002381] OrdinaryDiffEqIMEXMultistep v1.12.0 [521117fe] OrdinaryDiffEqLinear v1.10.0 [1344f307] OrdinaryDiffEqLowOrderRK v1.10.0 [b0944070] OrdinaryDiffEqLowStorageRK v1.12.0 [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.20.0 [c9986a66] OrdinaryDiffEqNordsieck v1.9.0 [5dd0a6cf] OrdinaryDiffEqPDIRK v1.11.0 [5b33eab2] OrdinaryDiffEqPRK v1.8.0 [04162be5] OrdinaryDiffEqQPRK v1.8.0 [af6ede74] OrdinaryDiffEqRKN v1.9.0 [43230ef6] OrdinaryDiffEqRosenbrock v1.23.0 [2d112036] OrdinaryDiffEqSDIRK v1.12.0 [669c94d9] OrdinaryDiffEqSSPRK v1.11.0 [e3e12d00] OrdinaryDiffEqStabilizedIRK v1.11.0 [358294b1] OrdinaryDiffEqStabilizedRK v1.8.0 [fa646aed] OrdinaryDiffEqSymplecticRK v1.11.0 [b1df2697] OrdinaryDiffEqTsit5 v1.9.0 [79d7bb75] OrdinaryDiffEqVerner v1.11.0 [90014a1f] PDMats v0.11.37 [65ce6f38] PackageExtensionCompat v1.0.2 ⌃ [65888b18] ParameterizedFunctions v5.19.0 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [e409e4f3] PoissonRandom v0.4.7 [f517fe37] Polyester v0.7.19 [1d0040c9] PolyesterWeave v0.2.2 [2dfb63ee] PooledArrays v1.4.3 [85a6dd25] PositiveFactorizations v0.2.4 ⌃ [d236fae5] PreallocationTools v0.4.34 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.1 [08abe8d2] PrettyTables v3.2.3 [27ebfcd6] Primes v0.5.7 [33c8b6b6] ProgressLogging v0.1.6 [92933f4c] ProgressMeter v1.11.0 [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 v3.48.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [ae5879a3] ResettableStacks v1.2.0 [79098fc4] Rmath v0.9.0 [f2b01f46] Roots v2.2.10 [7e49a35a] RuntimeGeneratedFunctions v0.5.17 [9dfe8606] SCCNonlinearSolve v1.11.0 [94e857df] SIMDTypes v0.1.0 [26aad666] SSMProblems v0.6.1 [1bc83da4] SafeTestsets v0.1.0 [0bca4576] SciMLBase v2.139.0 [19f34311] SciMLJacobianOperators v0.1.12 [a6db7da4] SciMLLogging v1.9.0 [c0aeaf25] SciMLOperators v1.15.1 [431bcebd] SciMLPublic v1.0.1 [53ae85a6] SciMLStructures v1.10.0 [30f210dd] ScientificTypesBase v3.1.0 [91c51154] SentinelArrays v1.4.9 [efcf1570] Setfield v1.1.2 [727e6d20] SimpleNonlinearSolve v2.10.0 [699a6c99] SimpleTraits v0.9.5 [a2af1166] SortingAlgorithms v1.2.2 [9f842d2f] SparseConnectivityTracer v1.2.1 [dc90abb0] SparseInverseSubset v0.1.2 [0a514795] SparseMatrixColorings v0.4.23 [276daf66] SpecialFunctions v2.7.1 [171d559e] SplittablesBase v0.1.15 [d0ee94f6] StanBase v4.12.2 ⌃ [c1514b29] StanSample v7.1.1 [aedffcd0] Static v1.3.1 [0d7ed370] StaticArrayInterface v1.9.0 [90137ffa] StaticArrays v1.9.16 [1e83bf80] StaticArraysCore v1.4.4 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.10 [4c63d2b9] StatsFuns v1.5.2 [9672c7b4] SteadyStateDiffEq v2.9.0 [7792a7ef] StrideArraysCore v0.5.8 [5e0ebb24] Strided v2.3.2 [4db3bf67] StridedViews v0.4.3 [892a3eda] StringManipulation v0.4.2 [09ab397b] StructArrays v0.7.2 [2efcf032] SymbolicIndexingInterface v0.3.46 ⌅ [19f23fe9] SymbolicLimits v0.2.3 ⌅ [d1185830] SymbolicUtils v3.32.0 ⌅ [0c5d862f] Symbolics v6.58.0 [ab02a1b2] TableOperations v1.2.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [ed4db957] TaskLocalValues v0.1.3 [02d47bb6] TensorCast v0.4.9 [8ea1fca8] TermInterface v2.0.0 [5d786b92] TerminalLoggers v0.1.7 [1c621080] TestItems v1.0.0 [8290d209] ThreadingUtilities v0.5.5 [a759f4b9] TimerOutputs v0.5.29 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.85 [84d833dd] 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[bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 [3f19e933] p7zip_jll v17.7.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/JvjlW/src/utils.jl:121 ┌ Info: found initial stepsize └ ϵ = 0.05 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0001 │ estimated_seconds_left = 0.0075 └ ϵ = 0.05 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 2.1e-5 │ estimated_seconds_left = 0.00051 └ ϵ = 0.00153 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0001971120534815673, 0.5481535039403397, 0.2608497517002592] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.015 │ estimated_seconds_left = 0.75 └ ϵ = 0.000368 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00020471107518968488, 0.2280317530107092, 0.24005488119929336] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00011 │ estimated_seconds_left = 0.011 └ ϵ = 0.432 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00014007148038913005, 0.2306120044809409, 0.2120415222895588] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00012 │ estimated_seconds_left = 0.023 └ ϵ = 0.637 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00015 │ estimated_seconds_left = 0.015 └ ϵ = 0.977 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00013939615154264827, 0.2525224457843436, 0.23417821325927737] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 5.1e-5 │ estimated_seconds_left = 0.02 └ ϵ = 0.934 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00017 │ estimated_seconds_left = 0.052 └ ϵ = 0.668 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00013 │ estimated_seconds_left = 0.026 └ ϵ = 0.784 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00012 │ estimated_seconds_left = 0.012 └ ϵ = 0.544 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00014567644934586156, 0.21988579290968568, 0.2528894005961617] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 4.9e-5 │ estimated_seconds_left = 0.0024 └ ϵ = 0.894 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00016 └ estimated_seconds_left = 0.16 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00045 └ estimated_seconds_left = 0.4 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00019 └ estimated_seconds_left = 0.15 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00018 └ estimated_seconds_left = 0.12 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00016 └ estimated_seconds_left = 0.096 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00017 └ estimated_seconds_left = 0.085 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00017 └ estimated_seconds_left = 0.067 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00017 └ estimated_seconds_left = 0.052 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00019 └ estimated_seconds_left = 0.037 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00017 └ estimated_seconds_left = 0.017 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/G4Ay1/src/integrator_interface.jl:635 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/G4Ay1/src/integrator_interface.jl:635 ┌ Info: found initial stepsize └ ϵ = 0.0125 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 4.8e-5 │ estimated_seconds_left = 0.0035 └ ϵ = 0.0125 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0063 │ estimated_seconds_left = 0.15 └ ϵ = 0.000472 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0013194606533655972, 0.002063727411708617, 0.0004365383402919586, 0.1768448385541768, 0.2751736482407344] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.017 │ estimated_seconds_left = 0.83 └ ϵ = 0.000208 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0017427987173269253, 0.003472499006969109, 0.0005773593390838662, 0.32213950025458243, 0.24383356547078036] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00053 │ estimated_seconds_left = 0.052 └ ϵ = 0.15 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0016141930408838576, 0.0030965064654587915, 0.0005711540247228485, 0.2926740382958309, 0.23071053158702365] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00053 │ estimated_seconds_left = 0.1 └ ϵ = 0.189 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00091 │ estimated_seconds_left = 0.09 └ ϵ = 0.253 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0013516400333558531, 0.0032868149476514945, 0.00047889653695472957, 0.27296677990902096, 0.24384802460313532] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00026 │ estimated_seconds_left = 0.11 └ ϵ = 0.204 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00061 │ estimated_seconds_left = 0.18 └ ϵ = 0.244 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00064 │ estimated_seconds_left = 0.13 └ ϵ = 0.183 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0005 │ estimated_seconds_left = 0.05 └ ϵ = 0.198 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0013120299601964212, 0.0029765514723775954, 0.00044892244552584374, 0.24833771932289844, 0.2653583571315145] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00026 │ estimated_seconds_left = 0.013 └ ϵ = 0.241 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00026 └ estimated_seconds_left = 0.26 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00065 └ estimated_seconds_left = 0.59 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00058 └ estimated_seconds_left = 0.47 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00063 └ estimated_seconds_left = 0.44 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0007 └ estimated_seconds_left = 0.42 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00059 └ estimated_seconds_left = 0.3 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00063 └ estimated_seconds_left = 0.25 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00067 └ estimated_seconds_left = 0.2 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.0006 └ estimated_seconds_left = 0.12 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00057 └ estimated_seconds_left = 0.057 ┌ Info: found initial stepsize └ ϵ = 0.2 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 4.8e-5 │ estimated_seconds_left = 0.0036 └ ϵ = 0.2 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/G4Ay1/src/integrator_interface.jl:635 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 2.3e-5 │ estimated_seconds_left = 0.00054 └ ϵ = 0.00822 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0015655326654735336, 0.05569709352365834] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.046 │ estimated_seconds_left = 2.3 └ ϵ = 0.00152 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.000396779938568225, 0.5647517856229052] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00024 │ estimated_seconds_left = 0.024 └ ϵ = 0.0999 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0001730977752999662, 0.2285165699428117] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 5.3e-5 │ estimated_seconds_left = 0.011 └ ϵ = 0.411 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00016 │ estimated_seconds_left = 0.016 └ ϵ = 0.796 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00018775757155423676, 0.23250809934257652] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00011 │ estimated_seconds_left = 0.043 └ ϵ = 0.877 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00014 │ estimated_seconds_left = 0.043 └ ϵ = 1.01 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00013 │ estimated_seconds_left = 0.026 └ ϵ = 1.0 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00011 │ estimated_seconds_left = 0.011 └ ϵ = 1.51 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00019169521369715242, 0.26650433185412553] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 5.1e-5 │ estimated_seconds_left = 0.0025 └ ϵ = 0.799 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 2.3e-5 └ estimated_seconds_left = 0.023 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00014 └ estimated_seconds_left = 0.12 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00015 └ estimated_seconds_left = 0.12 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00014 └ estimated_seconds_left = 0.097 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00013 └ estimated_seconds_left = 0.081 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00014 └ estimated_seconds_left = 0.068 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00014 └ estimated_seconds_left = 0.057 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00014 └ estimated_seconds_left = 0.041 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00014 └ estimated_seconds_left = 0.029 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00014 └ estimated_seconds_left = 0.014 ┌ Warning: Verbosity toggle: init_NaN │ First function call produced NaNs. Exiting. Double check that none of the initial conditions, parameters, or timespan values are NaN. └ @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/Y0mZB/src/initdt.jl:147 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/G4Ay1/src/integrator_interface.jl:635 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/G4Ay1/src/integrator_interface.jl:635 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/G4Ay1/src/integrator_interface.jl:635 ┌ Info: found initial stepsize └ ϵ = 0.00156 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 7.1e-5 │ estimated_seconds_left = 0.0052 └ ϵ = 0.00156 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0049 │ estimated_seconds_left = 0.12 └ ϵ = 0.000662 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0006256304493248295, 0.00047481530319719176, 0.10129165751165019] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.017 │ estimated_seconds_left = 0.83 └ ϵ = 0.000481 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008821649983805868, 0.00023213447241495776, 0.41391014217995675] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00013 │ estimated_seconds_left = 0.012 └ ϵ = 0.262 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0007347761291176285, 0.00024271487574546255, 0.26087434013194105] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00025 │ estimated_seconds_left = 0.05 └ ϵ = 0.355 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00033 │ estimated_seconds_left = 0.032 └ ϵ = 0.233 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0007971861457586919, 0.0002773549771279112, 0.2691349175405646] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00016 │ estimated_seconds_left = 0.062 └ ϵ = 0.459 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00038 │ estimated_seconds_left = 0.11 └ ϵ = 0.618 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00025 │ estimated_seconds_left = 0.049 └ ϵ = 0.391 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00026 │ estimated_seconds_left = 0.026 └ ϵ = 0.708 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0007942126775570789, 0.0002678044265249333, 0.24726076502618058] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00014 │ estimated_seconds_left = 0.0069 └ ϵ = 0.472 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00028 └ estimated_seconds_left = 0.28 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0012 └ estimated_seconds_left = 1.1 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00033 └ estimated_seconds_left = 0.26 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00028 └ estimated_seconds_left = 0.19 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00029 └ estimated_seconds_left = 0.17 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00028 └ estimated_seconds_left = 0.14 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00033 └ estimated_seconds_left = 0.13 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00028 └ estimated_seconds_left = 0.085 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00031 └ estimated_seconds_left = 0.061 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00029 └ estimated_seconds_left = 0.029 ┌ Warning: Assignment to `bayesian_result` in soft scope is ambiguous because a global variable by the same name exists: `bayesian_result` will be treated as a new local. Disambiguate by using `local bayesian_result` to suppress this warning or `global bayesian_result` to assign to the existing global variable. └ @ ~/.julia/packages/DiffEqBayes/gFKkQ/test/dynamicHMC.jl:77 ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/JvjlW/src/utils.jl:121 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Warning: Verbosity toggle: init_NaN │ First function call produced NaNs. Exiting. Double check that none of the initial conditions, parameters, or timespan values are NaN. └ @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/Y0mZB/src/initdt.jl:147 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 7.3e-5 │ estimated_seconds_left = 0.0054 └ ϵ = 1.0 ┌ Warning: Verbosity toggle: init_NaN │ First function call produced NaNs. Exiting. Double check that none of the initial conditions, parameters, or timespan values are NaN. └ @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/Y0mZB/src/initdt.jl:147 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/G4Ay1/src/integrator_interface.jl:635 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.024 │ estimated_seconds_left = 0.58 └ ϵ = 0.000317 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0017805500762734805, 0.003545781347874571, 0.0023779413189882782, 0.002828513022519512, 0.035611693896992244, 0.04738723933762639] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.025 │ estimated_seconds_left = 1.2 └ ϵ = 7.11e-5 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0013940246817277517, 0.0027339057148437727, 0.0019422896955367665, 0.0020743759332156222, 0.3690043259998973, 0.376776369791276] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.011 │ estimated_seconds_left = 1.0 └ ϵ = 0.0066 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0010479397206803525, 0.0020235034539123156, 0.0015101673537047575, 0.0015651566571920586, 0.28147274561998, 0.21863617926793208] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00043 │ estimated_seconds_left = 0.086 └ ϵ = 0.0515 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0029 │ estimated_seconds_left = 0.29 └ ϵ = 0.0419 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0012209622489223677, 0.0019107379005481962, 0.0017477204904848792, 0.0018112505996079151, 0.2976680141247256, 0.23799247816312855] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00077 │ estimated_seconds_left = 0.31 └ ϵ = 0.0855 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0051 │ estimated_seconds_left = 1.5 └ ϵ = 0.0528 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0037 │ estimated_seconds_left = 0.74 └ ϵ = 0.0399 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0028 │ estimated_seconds_left = 0.27 └ ϵ = 0.0775 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0011242472124821943, 0.0019840999996029395, 0.0016232577746136336, 0.0016976484394455214, 0.2965704223877053, 0.2747642213523237] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0015 │ estimated_seconds_left = 0.074 └ ϵ = 0.0733 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00076 └ estimated_seconds_left = 0.76 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.003 └ estimated_seconds_left = 2.7 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.003 └ estimated_seconds_left = 2.4 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.003 └ estimated_seconds_left = 2.1 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0033 └ estimated_seconds_left = 2.0 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0032 └ estimated_seconds_left = 1.6 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.0033 └ estimated_seconds_left = 1.3 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0033 └ estimated_seconds_left = 0.99 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.0032 └ estimated_seconds_left = 0.65 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.0031 └ estimated_seconds_left = 0.31 Test Summary: | Pass Broken Total Time DynamicHMC | 8 2 10 2m49.3s 169.848316 seconds (182.70 M allocations: 11.848 GiB, 3.21% gc time, 62.61% compilation time: 2% of which was recompilation) One parameter case ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/JvjlW/src/utils.jl:121 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/G4Ay1/src/integrator_interface.jl:635 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/G4Ay1/src/integrator_interface.jl:635 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/G4Ay1/src/integrator_interface.jl:635 ┌ Info: Found initial step size └ ϵ = 0.0125 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/G4Ay1/src/integrator_interface.jl:635 bayesian_result = MCMC chain (500×16×1 Array{Float64, 3}) ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1813 running 1 of 1 signal (10): User defined signal 1 _ZN4llvm16InstCombinerImpl13foldICmpBinOpERNS_8ICmpInstERKNS_13SimplifyQueryE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm16InstCombinerImpl13visitICmpInstERNS_8ICmpInstE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm16InstCombinerImpl3runEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZL31combineInstructionsOverFunctionRN4llvm8FunctionERNS_19InstructionWorklistEPNS_9AAResultsERNS_15AssumptionCacheERNS_17TargetLibraryInfoERNS_19TargetTransformInfoERNS_13DominatorTreeERNS_25OptimizationRemarkEmitterEPNS_18BlockFrequencyInfoEPNS_21BranchProbabilityInfoEPNS_18ProfileSummaryInfoERKNS_18InstCombineOptionsE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm15InstCombinePass3runERNS_8FunctionERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_8FunctionENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm27ModuleToFunctionPassAdaptor3runERNS_6ModuleERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/src/pipeline.cpp:787 operator() at /source/src/jitlayers.cpp:1520 withModuleDo<(anonymous namespace)::sizedOptimizerT::operator()(llvm::orc::ThreadSafeModule) [with long unsigned int N = 4]:: > at /source/usr/include/llvm/ExecutionEngine/Orc/ThreadSafeModule.h:136 [inlined] operator() at /source/src/jitlayers.cpp:1480 [inlined] operator() at /source/src/jitlayers.cpp:1656 [inlined] addModule at /source/src/jitlayers.cpp:2129 jl_compile_codeinst_now at /source/src/jitlayers.cpp:688 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:882 jl_compile_method_internal at /source/src/gf.c:3652 _jl_invoke at /source/src/gf.c:4112 [inlined] ijl_apply_generic at /source/src/gf.c:4317 #initialstep#30 at /home/pkgeval/.julia/packages/Turing/EdqqP/src/mcmc/hmc.jl:222 initialstep at /home/pkgeval/.julia/packages/Turing/EdqqP/src/mcmc/hmc.jl:180 unknown function (ip: 0x708e2d741455) at (unknown file) _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 #step#5 at /home/pkgeval/.julia/packages/Turing/EdqqP/src/mcmc/abstractmcmc.jl:182 step at /home/pkgeval/.julia/packages/Turing/EdqqP/src/mcmc/abstractmcmc.jl:164 [inlined] #step_warmup#9 at /home/pkgeval/.julia/packages/AbstractMCMC/oqm6Y/src/interface.jl:118 [inlined] step_warmup at /home/pkgeval/.julia/packages/AbstractMCMC/oqm6Y/src/interface.jl:118 [inlined] #_step_or_step_warmup#25 at /home/pkgeval/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:126 [inlined] _step_or_step_warmup at /home/pkgeval/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:124 [inlined] macro expansion at /home/pkgeval/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:223 [inlined] #29 at /home/pkgeval/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:134 with_logstate at ./logging/logging.jl:542 unknown function (ip: 0x708e2d73924b) at (unknown file) _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 with_logger at ./logging/logging.jl:653 with_progresslogger at /home/pkgeval/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:157 unknown function (ip: 0x708e757ae788) at (unknown file) _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 macro expansion at /home/pkgeval/.julia/packages/AbstractMCMC/oqm6Y/src/logging.jl:133 [inlined] #mcmcsample#27 at /home/pkgeval/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:204 mcmcsample at /home/pkgeval/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:164 #sample#28 at /home/pkgeval/.julia/packages/Turing/EdqqP/src/mcmc/hmc.jl:121 [inlined] sample at /home/pkgeval/.julia/packages/Turing/EdqqP/src/mcmc/hmc.jl:88 unknown function (ip: 0x708e2d7323af) at (unknown file) _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 sample_chain at /home/pkgeval/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:897 #Generator##0 at ./generator.jl:37 [inlined] iterate at ./generator.jl:48 [inlined] collect at ./array.jl:828 map at ./abstractarray.jl:3540 [inlined] #mcmcsample#108 at /home/pkgeval/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:910 mcmcsample at /home/pkgeval/.julia/packages/AbstractMCMC/oqm6Y/src/sample.jl:857 unknown function (ip: 0x708e2d731256) at (unknown file) _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 #sample#4 at /home/pkgeval/.julia/packages/Turing/EdqqP/src/mcmc/abstractmcmc.jl:128 sample at /home/pkgeval/.julia/packages/Turing/EdqqP/src/mcmc/abstractmcmc.jl:111 [inlined] #sample#3 at /home/pkgeval/.julia/packages/Turing/EdqqP/src/mcmc/abstractmcmc.jl:106 [inlined] sample at /home/pkgeval/.julia/packages/Turing/EdqqP/src/mcmc/abstractmcmc.jl:98 unknown function (ip: 0x708e2d6da0fc) at (unknown file) _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 #turing_inference#1 at /home/pkgeval/.julia/packages/DiffEqBayes/gFKkQ/src/turing_inference.jl:78 turing_inference at /home/pkgeval/.julia/packages/DiffEqBayes/gFKkQ/src/turing_inference.jl:1 unknown function (ip: 0x708e2d6d9315) at (unknown file) _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 jl_apply at /source/src/julia.h:2285 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 ijl_eval_thunk at /source/src/toplevel.c:765 jl_toplevel_eval_flex at /source/src/toplevel.c:712 jl_eval_toplevel_stmts at /source/src/toplevel.c:602 jl_toplevel_eval_flex at /source/src/toplevel.c:684 ijl_toplevel_eval at /source/src/toplevel.c:779 ijl_toplevel_eval_in at /source/src/toplevel.c:824 eval at ./boot.jl:489 include_string at ./loading.jl:3130 _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 _include at ./loading.jl:3190 include at ./Base.jl:324 IncludeInto at ./Base.jl:325 unknown function (ip: 0x708e9e926712) at (unknown file) _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 jl_apply at /source/src/julia.h:2285 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 ijl_eval_thunk at /source/src/toplevel.c:765 jl_toplevel_eval_flex at /source/src/toplevel.c:712 jl_eval_toplevel_stmts at /source/src/toplevel.c:602 jl_eval_module_expr at /source/src/toplevel.c:263 [inlined] jl_toplevel_eval_flex at /source/src/toplevel.c:665 ijl_toplevel_eval at /source/src/toplevel.c:779 ijl_toplevel_eval_in at /source/src/toplevel.c:824 eval at ./boot.jl:489 jfptr_eval_17705.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 macro expansion at /home/pkgeval/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [inlined] macro expansion at ./timing.jl:739 [inlined] top-level scope at /home/pkgeval/.julia/packages/DiffEqBayes/gFKkQ/test/runtests.jl:10 _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_invoke at /source/src/gf.c:4127 ijl_eval_thunk at /source/src/toplevel.c:757 jl_toplevel_eval_flex at /source/src/toplevel.c:712 jl_eval_toplevel_stmts at /source/src/toplevel.c:602 jl_toplevel_eval_flex at /source/src/toplevel.c:684 ijl_toplevel_eval at /source/src/toplevel.c:779 ijl_toplevel_eval_in at /source/src/toplevel.c:824 eval at ./boot.jl:489 include_string at ./loading.jl:3130 _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 _include at ./loading.jl:3190 include at ./Base.jl:324 IncludeInto at ./Base.jl:325 jfptr_IncludeInto_61113.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 jl_apply at /source/src/julia.h:2285 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 ijl_eval_thunk at /source/src/toplevel.c:765 jl_toplevel_eval_flex at /source/src/toplevel.c:712 jl_eval_toplevel_stmts at /source/src/toplevel.c:602 jl_toplevel_eval_flex at /source/src/toplevel.c:684 ijl_toplevel_eval at /source/src/toplevel.c:779 ijl_toplevel_eval_in at /source/src/toplevel.c:824 eval at ./boot.jl:489 exec_options at ./client.jl:310 _start at ./client.jl:585 jfptr__start_32581.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 jl_apply at /source/src/julia.h:2285 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x708ea7cd7249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ┌ Info: Found initial step size └ ϵ = 0.0125 #= 44.4 ms =# precompile(Tuple{Type{Turing.Inference.HMCState{TV, TKernel, THam, PhType, TAdapt, L} where L<:(DynamicPPL.LogDensityFunction{Tlink, M, AD, F, N, ADP, X, AC} where AC<:(DynamicPPL.AccumulatorTuple{N, T} where T<:(NamedTuple{names, T} where T<:Tuple where names) where N) where X<:(AbstractArray{T, 1} where T) where ADP<:Union{Nothing, DifferentiationInterface.GradientPrep{SIG} where SIG} where N<:(NamedTuple{names, T} where T<:Tuple where names) where F where AD<:Union{Nothing, ADTypes.AbstractADType} where M<:(DynamicPPL.Model{F, argnames, defaultnames, missings, Targs, Tdefaults, Ctx, Threaded} where Threaded where Ctx<:AbstractPPL.AbstractContext where Tdefaults where Targs where missings where defaultnames where argnames where F) where Tlink) where TAdapt<:AdvancedHMC.Adaptation.AbstractAdaptor where PhType<:(AdvancedHMC.PhasePoint{T, V} where V<:(AdvancedHMC.DualValue{V, G} where G<:(Union{AbstractArray{var"#s5", 1}, AbstractArray{var"#s5", 2}} where var"#s5"<:AbstractFloat) where V<:(Union{AbstractArray{var"#s14", 1}, var"#s14"} where var"#s14"<:AbstractFloat)) where T<:(Union{AbstractArray{var"#s15", 1}, AbstractArray{var"#s15", 2}} where var"#s15"<:AbstractFloat)) where THam<:(AdvancedHMC.Hamiltonian{M, K, Tlogπ, T∂logπ∂θ} where T∂logπ∂θ where Tlogπ where K<:AdvancedHMC.AbstractKinetic where M<:AdvancedHMC.AbstractMetric) where TKernel<:(AdvancedHMC.HMCKernel{R, T} where T<:(AdvancedHMC.Trajectory{TS, I, TC} where TC<:AdvancedHMC.AbstractTerminationCriterion where I<:AdvancedHMC.AbstractIntegrator where TS<:AdvancedHMC.AbstractTrajectorySampler) where R) where TV<:DynamicPPL.AbstractVarInfo}, DynamicPPL.VarInfo{NamedTuple{(:a, :σ), Tuple{DynamicPPL.Metadata{Base.Dict{AbstractPPL.VarName{:a, typeof(Base.identity)}, Int64}, Array{Distributions.Normal{Float64}, 1}, Array{AbstractPPL.VarName{:a, typeof(Base.identity)}, 1}, Array{Float64, 1}}, DynamicPPL.Metadata{Base.Dict{AbstractPPL.VarName{:σ, Accessors.IndexLens{Tuple{Int64}}}, Int64}, Array{Distributions.InverseGamma{Float64}, 1}, Array{AbstractPPL.VarName{:σ, Accessors.IndexLens{Tuple{Int64}}}, 1}, Array{Float64, 1}}}}, DynamicPPL.AccumulatorTuple{3, NamedTuple{(:LogPrior, :LogJacobian, :LogLikelihood), Tuple{DynamicPPL.LogPriorAccumulator{Float64}, DynamicPPL.LogJacobianAccumulator{Float64}, DynamicPPL.LogLikelihoodAccumulator{Float64}}}}}, Int64, AdvancedHMC.HMCKernel{AdvancedHMC.FullMomentumRefreshment, AdvancedHMC.Trajectory{AdvancedHMC.MultinomialTS{F, P} where P<:(AdvancedHMC.PhasePoint{T, V} where V<:(AdvancedHMC.DualValue{V, G} where G<:(Union{AbstractArray{var"#s5", 1}, AbstractArray{var"#s5", 2}} where var"#s5"<:AbstractFloat) where V<:(Union{AbstractArray{var"#s14", 1}, var"#s14"} where var"#s14"<:AbstractFloat)) where T<:(Union{AbstractArray{var"#s15", 1}, AbstractArray{var"#s15", 2}} where var"#s15"<:AbstractFloat)) where F<:AbstractFloat, AdvancedHMC.Leapfrog{Float64}, AdvancedHMC.GeneralisedNoUTurn{Float64}}}, AdvancedHMC.Hamiltonian{AdvancedHMC.DiagEuclideanMetric{Float64, Array{Float64, 1}}, AdvancedHMC.GaussianKinetic, Base.Fix{1, typeof(LogDensityProblems.logdensity), DynamicPPL.LogDensityFunction{true, DynamicPPL.Model{DiffEqBayes.var"#infer#6"{Array{Distributions.InverseGamma{Float64}, 1}, DiffEqBayes.var"#turing_inference##4#turing_inference##5", Array{Symbol, 1}, Bool, Bool, Base.Dict{Any, Any}, SciMLBase.ODEProblem{Array{Float64, 1}, Tuple{Float64, Float64}, true, Array{Float64, 1}, var"##Turing#148".var"##163"{var"##Turing#148".var"###ParameterizedDiffEqFunction#165", var"##Turing#148".var"###ParameterizedTGradFunction#166", var"##Turing#148".var"###ParameterizedJacobianFunction#167", Nothing, Nothing, ModelingToolkit.System}, Base.Pairs{Symbol, Union{}, Nothing, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqRosenbrock.Rosenbrock23{0, ADTypes.AutoFiniteDiff{Base.Val{:forward}, Base.Val{:forward}, Base.Val{:hcentral}, Nothing, Nothing, Int64}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Base.Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, Array{Float64, 1}, Array{Distributions.Normal{Float64}, 1}, SciMLStructures.ArrayRepack{Array{Float64, 1}}}, (:x, :var"##arg#147"), (), (), Tuple{Array{Float64, 2}, DynamicPPL.TypeWrap{Float64}}, Tuple{}, DynamicPPL.DefaultContext, false}, ADTypes.AutoForwardDiff{2, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}}, typeof(DynamicPPL.getlogjoint_internal), NamedTuple{(:a,), Tuple{DynamicPPL.RangeAndLinked}}, DifferentiationInterfaceForwardDiffExt.ForwardDiffGradientPrep{Tuple{typeof(DynamicPPL.logdensity_at), ADTypes.AutoForwardDiff{2, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}}, Array{Float64, 1}, Tuple{DifferentiationInterface.Constant{Base.Val{true}}, DifferentiationInterface.Constant{DynamicPPL.Model{DiffEqBayes.var"#infer#6"{Array{Distributions.InverseGamma{Float64}, 1}, DiffEqBayes.var"#turing_inference##4#turing_inference##5", Array{Symbol, 1}, Bool, Bool, Base.Dict{Any, Any}, SciMLBase.ODEProblem{Array{Float64, 1}, Tuple{Float64, Float64}, true, Array{Float64, 1}, var"##Turing#148".var"##163"{var"##Turing#148".var"###ParameterizedDiffEqFunction#165", var"##Turing#148".var"###ParameterizedTGradFunction#166", var"##Turing#148".var"###ParameterizedJacobianFunction#167", Nothing, Nothing, ModelingToolkit.System}, Base.Pairs{Symbol, Union{}, Nothing, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqRosenbrock.Rosenbrock23{0, ADTypes.AutoFiniteDiff{Base.Val{:forward}, Base.Val{:forward}, Base.Val{:hcentral}, Nothing, Nothing, Int64}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Base.Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, Array{Float64, 1}, Array{Distributions.Normal{Float64}, 1}, SciMLStructures.ArrayRepack{Array{Float64, 1}}}, (:x, :var"##arg#147"), (), (), Tuple{Array{Float64, 2}, DynamicPPL.TypeWrap{Float64}}, Tuple{}, DynamicPPL.DefaultContext, false}}, DifferentiationInterface.Constant{typeof(DynamicPPL.getlogjoint_internal)}, DifferentiationInterface.Constant{NamedTuple{(:a,), Tuple{DynamicPPL.RangeAndLinked}}}, DifferentiationInterface.Constant{Base.Dict{AbstractPPL.VarName{sym, T} where T<:Union{typeof(Base.identity), Accessors.IndexLens{I} where I<:Tuple, Accessors.PropertyLens{fieldname} where fieldname, Base.ComposedFunction{O, I} where I where O} where sym, DynamicPPL.RangeAndLinked}}, DifferentiationInterface.Constant{DynamicPPL.AccumulatorTuple{3, NamedTuple{(:LogPrior, :LogJacobian, :LogLikelihood), Tuple{DynamicPPL.LogPriorAccumulator{Float64}, DynamicPPL.LogJacobianAccumulator{Float64}, DynamicPPL.LogLikelihoodAccumulator{Float64}}}}}}}, ForwardDiff.GradientConfig{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 2, Array{ForwardDiff.Dual{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 2}, 1}}, NTuple{6, Nothing}}, Array{Float64, 1}, DynamicPPL.AccumulatorTuple{3, NamedTuple{(:LogPrior, :LogJacobian, :LogLikelihood), Tuple{DynamicPPL.LogPriorAccumulator{Float64}, DynamicPPL.LogJacobianAccumulator{Float64}, DynamicPPL.LogLikelihoodAccumulator{Float64}}}}}}, Base.Fix{1, typeof(LogDensityProblems.logdensity_and_gradient), DynamicPPL.LogDensityFunction{true, DynamicPPL.Model{DiffEqBayes.var"#infer#6"{Array{Distributions.InverseGamma{Float64}, 1}, DiffEqBayes.var"#turing_inference##4#turing_inference##5", Array{Symbol, 1}, Bool, Bool, Base.Dict{Any, Any}, SciMLBase.ODEProblem{Array{Float64, 1}, Tuple{Float64, Float64}, true, Array{Float64, 1}, var"##Turing#148".var"##163"{var"##Turing#148".var"###ParameterizedDiffEqFunction#165", var"##Turing#148".var"###ParameterizedTGradFunction#166", var"##Turing#148".var"###ParameterizedJacobianFunction#167", Nothing, Nothing, ModelingToolkit.System}, Base.Pairs{Symbol, Union{}, Nothing, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqRosenbrock.Rosenbrock23{0, ADTypes.AutoFiniteDiff{Base.Val{:forward}, Base.Val{:forward}, Base.Val{:hcentral}, Nothing, Nothing, Int64}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Base.Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, Array{Float64, 1}, Array{Distributions.Normal{Float64}, 1}, SciMLStructures.ArrayRepack{Array{Float64, 1}}}, (:x, :var"##arg#147"), (), (), Tuple{Array{Float64, 2}, DynamicPPL.TypeWrap{Float64}}, Tuple{}, DynamicPPL.DefaultContext, false}, ADTypes.AutoForwardDiff{2, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}}, typeof(DynamicPPL.getlogjoint_internal), NamedTuple{(:a,), Tuple{DynamicPPL.RangeAndLinked}}, DifferentiationInterfaceForwardDiffExt.ForwardDiffGradientPrep{Tuple{typeof(DynamicPPL.logdensity_at), ADTypes.AutoForwardDiff{2, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}}, Array{Float64, 1}, Tuple{DifferentiationInterface.Constant{Base.Val{true}}, DifferentiationInterface.Constant{DynamicPPL.Model{DiffEqBayes.var"#infer#6"{Array{Distributions.InverseGamma{Float64}, 1}, DiffEqBayes.var"#turing_inference##4#turing_inference##5", Array{Symbol, 1}, Bool, Bool, Base.Dict{Any, Any}, SciMLBase.ODEProblem{Array{Float64, 1}, Tuple{Float64, Float64}, true, Array{Float64, 1}, var"##Turing#148".var"##163"{var"##Turing#148".var"###ParameterizedDiffEqFunction#165", var"##Turing#148".var"###ParameterizedTGradFunction#166", var"##Turing#148".var"###ParameterizedJacobianFunction#167", Nothing, Nothing, ModelingToolkit.System}, Base.Pairs{Symbol, Union{}, Nothing, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqRosenbrock.Rosenbrock23{0, ADTypes.AutoFiniteDiff{Base.Val{:forward}, Base.Val{:forward}, Base.Val{:hcentral}, Nothing, Nothing, Int64}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Base.Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, Array{Float64, 1}, Array{Distributions.Normal{Float64}, 1}, SciMLStructures.ArrayRepack{Array{Float64, 1}}}, (:x, :var"##arg#147"), (), (), Tuple{Array{Float64, 2}, DynamicPPL.TypeWrap{Float64}}, Tuple{}, DynamicPPL.DefaultContext, false}}, DifferentiationInterface.Constant{typeof(DynamicPPL.getlogjoint_internal)}, DifferentiationInterface.Constant{NamedTuple{(:a,), Tuple{DynamicPPL.RangeAndLinked}}}, DifferentiationInterface.Constant{Base.Dict{AbstractPPL.VarName{sym, T} where T<:Union{typeof(Base.identity), Accessors.IndexLens{I} where I<:Tuple, Accessors.PropertyLens{fieldname} where fieldname, Base.ComposedFunction{O, I} where I where O} where sym, DynamicPPL.RangeAndLinked}}, DifferentiationInterface.Constant{DynamicPPL.AccumulatorTuple{3, NamedTuple{(:LogPrior, :LogJacobian, :LogLikelihood), Tuple{DynamicPPL.LogPriorAccumulator{Float64}, DynamicPPL.LogJacobianAccumulator{Float64}, DynamicPPL.LogLikelihoodAccumulator{Float64}}}}}}}, ForwardDiff.GradientConfig{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 2, Array{ForwardDiff.Dual{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 2}, 1}}, NTuple{6, Nothing}}, Array{Float64, 1}, DynamicPPL.AccumulatorTuple{3, NamedTuple{(:LogPrior, :LogJacobian, :LogLikelihood), Tuple{DynamicPPL.LogPriorAccumulator{Float64}, DynamicPPL.LogJacobianAccumulator{Float64}, DynamicPPL.LogLikelihoodAccumulator{Float64}}}}}}}, AdvancedHMC.PhasePoint{Array{Float64, 1}, AdvancedHMC.DualValue{Float64, Array{Float64, 1}}}, AdvancedHMC.Adaptation.StanHMCAdaptor{AdvancedHMC.Adaptation.WelfordVar{Float64, Array{Float64, 1}, Array{Float64, 1}}, AdvancedHMC.Adaptation.NesterovDualAveraging{Float64, Float64}}, DynamicPPL.LogDensityFunction{true, DynamicPPL.Model{DiffEqBayes.var"#infer#6"{Array{Distributions.InverseGamma{Float64}, 1}, DiffEqBayes.var"#turing_inference##4#turing_inference##5", Array{Symbol, 1}, Bool, Bool, Base.Dict{Any, Any}, SciMLBase.ODEProblem{Array{Float64, 1}, Tuple{Float64, Float64}, true, Array{Float64, 1}, var"##Turing#148".var"##163"{var"##Turing#148".var"###ParameterizedDiffEqFunction#165", var"##Turing#148".var"###ParameterizedTGradFunction#166", var"##Turing#148".var"###ParameterizedJacobianFunction#167", Nothing, Nothing, ModelingToolkit.System}, Base.Pairs{Symbol, Union{}, Nothing, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqRosenbrock.Rosenbrock23{0, ADTypes.AutoFiniteDiff{Base.Val{:forward}, Base.Val{:forward}, Base.Val{:hcentral}, Nothing, Nothing, Int64}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Base.Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, Array{Float64, 1}, Array{Distributions.Normal{Float64}, 1}, SciMLStructures.ArrayRepack{Array{Float64, 1}}}, (:x, :var"##arg#147"), (), (), Tuple{Array{Float64, 2}, DynamicPPL.TypeWrap{Float64}}, Tuple{}, DynamicPPL.DefaultContext, false}, ADTypes.AutoForwardDiff{2, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}}, typeof(DynamicPPL.getlogjoint_internal), NamedTuple{(:a,), Tuple{DynamicPPL.RangeAndLinked}}, DifferentiationInterfaceForwardDiffExt.ForwardDiffGradientPrep{Tuple{typeof(DynamicPPL.logdensity_at), ADTypes.AutoForwardDiff{2, ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}}, Array{Float64, 1}, Tuple{DifferentiationInterface.Constant{Base.Val{true}}, DifferentiationInterface.Constant{DynamicPPL.Model{DiffEqBayes.var"#infer#6"{Array{Distributions.InverseGamma{Float64}, 1}, DiffEqBayes.var"#turing_inference##4#turing_inference##5", Array{Symbol, 1}, Bool, Bool, Base.Dict{Any, Any}, SciMLBase.ODEProblem{Array{Float64, 1}, Tuple{Float64, Float64}, true, Array{Float64, 1}, var"##Turing#148".var"##163"{var"##Turing#148".var"###ParameterizedDiffEqFunction#165", var"##Turing#148".var"###ParameterizedTGradFunction#166", var"##Turing#148".var"###ParameterizedJacobianFunction#167", Nothing, Nothing, ModelingToolkit.System}, Base.Pairs{Symbol, Union{}, Nothing, NamedTuple{(), Tuple{}}}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqRosenbrock.Rosenbrock23{0, ADTypes.AutoFiniteDiff{Base.Val{:forward}, Base.Val{:forward}, Base.Val{:hcentral}, Nothing, Nothing, Int64}, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Base.Val{:forward}(), true, nothing, typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!)}, Array{Float64, 1}, Array{Distributions.Normal{Float64}, 1}, SciMLStructures.ArrayRepack{Array{Float64, 1}}}, (:x, :var"##arg#147"), (), (), Tuple{Array{Float64, 2}, DynamicPPL.TypeWrap{Float64}}, Tuple{}, DynamicPPL.DefaultContext, false}}, DifferentiationInterface.Constant{typeof(DynamicPPL.getlogjoint_internal)}, DifferentiationInterface.Constant{NamedTuple{(:a,), Tuple{DynamicPPL.RangeAndLinked}}}, DifferentiationInterface.Constant{Base.Dict{AbstractPPL.VarName{sym, T} where T<:Union{typeof(Base.identity), Accessors.IndexLens{I} where I<:Tuple, Accessors.PropertyLens{fieldname} where fieldname, Base.ComposedFunction{O, I} where I where O} where sym, DynamicPPL.RangeAndLinked}}, DifferentiationInterface.Constant{DynamicPPL.AccumulatorTuple{3, NamedTuple{(:LogPrior, :LogJacobian, :LogLikelihood), Tuple{DynamicPPL.LogPriorAccumulator{Float64}, DynamicPPL.LogJacobianAccumulator{Float64}, DynamicPPL.LogLikelihoodAccumulator{Float64}}}}}}}, ForwardDiff.GradientConfig{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 2, Array{ForwardDiff.Dual{ForwardDiff.Tag{DynamicPPL.DynamicPPLTag, Float64}, Float64, 2}, 1}}, NTuple{6, Nothing}}, Array{Float64, 1}, DynamicPPL.AccumulatorTuple{3, NamedTuple{(:LogPrior, :LogJacobian, :LogLikelihood), Tuple{DynamicPPL.LogPriorAccumulator{Float64}, DynamicPPL.LogJacobianAccumulator{Float64}, DynamicPPL.LogLikelihoodAccumulator{Float64}}}}}}) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1246 wait_forever at ./task.jl:1168 jfptr_wait_forever_70078.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 jl_apply at /source/src/julia.h:2285 [inlined] start_task at /source/src/task.c:1275 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ┌ 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/v1.14/Profile/src/Profile.jl:1361 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007a41ce8ca3b0 Total snapshots: 650. Utilization: 0% ╎650 @Base/task.jl:1168 wait_forever() 649╎ 650 @Base/task.jl:1246 wait() ┌ Info: Found initial step size └ ϵ = 0.0125 Multithreaded case [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1246 wait_forever at ./task.jl:1168 jfptr_wait_forever_70078.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 jl_apply at /source/src/julia.h:2285 [inlined] start_task at /source/src/task.c:1275 unknown function (ip: (nil)) at (unknown file) Allocations: 26218901 (Pool: 26217633; Big: 1268); GC: 36 [1813] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/DiffEqBayes/gFKkQ/test/turing.jl:38 _ZN4llvm13MDAttachments5eraseEj at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm5Value11setMetadataEjPNS_6MDNodeE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) decorateInst at /source/src/codegen.cpp:1697 literal_pointer_val at /source/src/cgutils.cpp:748 emit_tagfrom at /source/src/cgutils.cpp:1448 emit_tagfrom at /source/src/cgutils.cpp:1446 [inlined] emit_allocobj at /source/src/cgutils.cpp:4320 boxed at /source/src/cgutils.cpp:4145 emit_jlcall at /source/src/codegen.cpp:5300 emit_call_specfun_boxed at /source/src/codegen.cpp:5539 [inlined] emit_invoke at /source/src/codegen.cpp:5669 emit_invoke at /source/src/codegen.cpp:5557 [inlined] emit_expr at /source/src/codegen.cpp:6724 emit_ssaval_assign at /source/src/codegen.cpp:6229 emit_stmtpos at /source/src/codegen.cpp:6532 [inlined] emit_function at /source/src/codegen.cpp:9813 jl_emit_code at /source/src/codegen.cpp:10182 jl_emit_codeinst at /source/src/codegen.cpp:10253 jl_emit_codeinst_to_jit_impl at /source/src/jitlayers.cpp:826 add_codeinsts_to_jit! at ./../usr/share/julia/Compiler/src/typeinfer.jl:1709 typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1716 [inlined] typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1724 jfptr_typeinf_ext_toplevel_89828.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 jl_apply at /source/src/julia.h:2285 [inlined] jl_type_infer at /source/src/gf.c:467 jl_compile_method_internal at /source/src/gf.c:3640 _jl_invoke at /source/src/gf.c:4112 [inlined] ijl_apply_generic at /source/src/gf.c:4317 jl_apply at /source/src/julia.h:2285 [inlined] jl_f_invokelatest at /source/src/builtins.c:889 profile_printing_listener at ./Base.jl:354 #start_profile_listener##0 at ./Base.jl:372 jfptr_YY.start_profile_listenerYY.YY.0_17413.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4120 [inlined] ijl_apply_generic at /source/src/gf.c:4317 jl_apply at /source/src/julia.h:2285 [inlined] start_task at /source/src/task.c:1275 unknown function (ip: (nil)) at (unknown file) Allocations: 454492318 (Pool: 454488242; Big: 4076); GC: 145 PkgEval terminated after 2723.48s: test duration exceeded the time limit