Package evaluation to test DiffEqBayes on Julia 1.14.0-DEV.24 (d5fb6bbb43*) started at 2025-11-03T03:16:15.948 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.41s ################################################################################ # Installation # Installing DiffEqBayes... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [ebbdde9d] + DiffEqBayes v3.9.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.18.0 [621f4979] + AbstractFFTs v1.5.0 [80f14c24] + AbstractMCMC v5.9.0 ⌅ [7a57a42e] + AbstractPPL v0.12.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.4.0 [0bf59076] + AdvancedHMC v0.8.3 [5b7e9947] + AdvancedMH v0.8.8 [576499cb] + AdvancedPS v0.7.0 ⌅ [b5ca4192] + AdvancedVI v0.4.1 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [ec485272] + ArnoldiMethod v0.4.0 [4fba245c] + ArrayInterface v7.22.0 [4c555306] + ArrayLayouts v1.12.0 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.8 [198e06fe] + BangBang v0.4.6 [9718e550] + Baselet v0.1.1 [e2ed5e7c] + Bijections v0.2.2 [76274a88] + Bijectors v0.15.12 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] + BlockArrays v1.9.1 [70df07ce] + BracketingNonlinearSolve v1.5.0 [2a0fbf3d] + CPUSummary v0.2.7 [336ed68f] + CSV v0.10.15 [082447d4] + ChainRules v1.72.6 [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 v0.9.1 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [5224ae11] + CompatHelperLocal v0.1.27 [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 v0.19.1 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [b429d917] + DensityInterface v0.4.0 [2b5f629d] + DiffEqBase v6.190.2 [ebbdde9d] + DiffEqBayes v3.9.0 [459566f4] + DiffEqCallbacks v4.10.1 [77a26b50] + DiffEqNoiseProcess v5.24.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.10 [8d63f2c5] + DispatchDoctor v0.4.26 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.122 [ced4e74d] + DistributionsAD v0.6.58 [ffbed154] + DocStringExtensions v0.9.5 [5b8099bc] + DomainSets v0.7.16 [bbc10e6e] + DynamicHMC v3.5.1 ⌅ [366bfd00] + DynamicPPL v0.36.15 [7c1d4256] + DynamicPolynomials v0.6.4 [06fc5a27] + DynamicQuantities v1.10.0 [cad2338a] + EllipticalSliceSampling v2.0.0 [4e289a0a] + EnumX v1.0.5 [f151be2c] + EnzymeCore v0.8.15 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [7a1cc6ca] + FFTW v1.10.0 [7034ab61] + FastBroadcast v0.3.5 [9aa1b823] + FastClosures v0.3.2 [a4df4552] + FastPower v1.2.0 [48062228] + FilePathsBase v0.9.24 [1a297f60] + FillArrays v1.14.0 [64ca27bc] + FindFirstFunctions v1.4.2 [6a86dc24] + FiniteDiff v2.29.0 [1fa38f19] + Format v1.3.7 [f6369f11] + ForwardDiff v1.2.2 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [d9f16b24] + Functors v0.5.2 [46192b85] + GPUArraysCore v0.2.0 [c27321d9] + Glob v1.3.1 [86223c79] + Graphs v1.13.1 [34004b35] + HypergeometricFunctions v0.3.28 [615f187c] + IfElse v0.1.1 [3263718b] + ImplicitDiscreteSolve v1.2.0 [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 v0.7.11 [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 v2.1.6 ⌅ [70703baa] + JuliaSyntax v0.4.10 [ccbc3e58] + JumpProcesses v9.19.1 [5ab0869b] + KernelDensity v0.6.10 [5be7bae1] + LBFGSB v0.4.1 [b964fa9f] + LaTeXStrings v1.4.0 [2ee39098] + LabelledArrays v1.16.1 [23fbe1c1] + Latexify v0.16.10 [10f19ff3] + LayoutPointers v0.1.17 [1fad7336] + LazyStack v0.1.3 [1d6d02ad] + LeftChildRightSiblingTrees v0.2.1 [6f1fad26] + Libtask v0.9.6 [87fe0de2] + LineSearch v0.1.4 [d3d80556] + LineSearches v7.4.0 [6fdf6af0] + LogDensityProblems v2.2.0 [996a588d] + LogDensityProblemsAD v1.13.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [c7f686f2] + MCMCChains v7.6.0 [be115224] + MCMCDiagnosticTools v0.3.15 [e80e1ace] + MLJModelInterface v1.12.0 [d8e11817] + MLStyle v0.4.17 [1914dd2f] + MacroTools v0.5.16 [d125e4d3] + ManualMemory v0.1.8 [dbb5928d] + MappedArrays v0.4.2 [bb5d69b7] + MaybeInplace v0.1.4 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [dbe65cb8] + MistyClosures v2.1.0 [961ee093] + ModelingToolkit v10.26.1 [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 v2.0.0 [6fe1bfb0] + OffsetArrays v1.17.0 [429524aa] + Optim v1.13.2 [3bd65402] + Optimisers v0.4.6 ⌅ [7f7a1694] + Optimization v4.8.0 ⌅ [bca83a33] + OptimizationBase v2.14.0 ⌃ [36348300] + OptimizationOptimJL v0.4.5 [bac558e1] + OrderedCollections v1.8.1 [bbf590c4] + OrdinaryDiffEqCore v1.36.0 [90014a1f] + PDMats v0.11.36 [65ce6f38] + PackageExtensionCompat v1.0.2 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.3 [e409e4f3] + PoissonRandom v0.4.7 [f517fe37] + Polyester v0.7.18 [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 v1.5.0 [08abe8d2] + PrettyTables v3.1.0 [27ebfcd6] + Primes v0.5.7 [33c8b6b6] + ProgressLogging v0.1.5 [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 v3.39.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [ae5879a3] + ResettableStacks v1.1.1 [79098fc4] + Rmath v0.9.0 [f2b01f46] + Roots v2.2.10 [7e49a35a] + RuntimeGeneratedFunctions v0.5.16 [9dfe8606] + SCCNonlinearSolve v1.6.0 [94e857df] + SIMDTypes v0.1.0 ⌅ [26aad666] + SSMProblems v0.5.2 [0bca4576] + SciMLBase v2.124.0 [19f34311] + SciMLJacobianOperators v0.1.11 [a6db7da4] + SciMLLogging v1.3.1 [c0aeaf25] + SciMLOperators v1.9.0 [431bcebd] + SciMLPublic v1.0.0 [53ae85a6] + SciMLStructures v1.7.0 [30f210dd] + ScientificTypesBase v3.0.0 [91c51154] + SentinelArrays v1.4.8 [efcf1570] + Setfield v1.1.2 [727e6d20] + SimpleNonlinearSolve v2.9.0 [699a6c99] + SimpleTraits v0.9.5 [ce78b400] + SimpleUnPack v1.1.0 [a2af1166] + SortingAlgorithms v1.2.2 [9f842d2f] + SparseConnectivityTracer v1.1.2 [dc90abb0] + SparseInverseSubset v0.1.2 [0a514795] + SparseMatrixColorings v0.4.23 [276daf66] + SpecialFunctions v2.6.1 [171d559e] + SplittablesBase v0.1.15 [d0ee94f6] + StanBase v4.12.2 ⌃ [c1514b29] + StanSample v7.1.1 [aedffcd0] + Static v1.3.1 [0d7ed370] + StaticArrayInterface v1.8.0 [90137ffa] + StaticArrays v1.9.15 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.7 [4c63d2b9] + StatsFuns v1.5.2 [7792a7ef] + StrideArraysCore v0.5.8 [5e0ebb24] + Strided v2.3.2 [4db3bf67] + StridedViews v0.4.1 [892a3eda] + StringManipulation v0.4.1 [09ab397b] + StructArrays v0.7.2 [2efcf032] + SymbolicIndexingInterface v0.3.46 ⌃ [19f23fe9] + SymbolicLimits v0.2.3 ⌅ [d1185830] + SymbolicUtils v3.32.0 [0c5d862f] + Symbolics v6.57.0 [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 v0.8.17 [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 v0.39.10 [5c2747f8] + URIs v1.6.1 [3a884ed6] + UnPack v1.0.2 [1986cc42] + Unitful v1.25.1 [a7c27f48] + Unityper v0.1.6 [ea10d353] + WeakRefStrings v1.4.2 [efce3f68] + WoodburyMatrices v1.0.0 [76eceee3] + WorkerUtilities v1.6.1 [700de1a5] + ZygoteRules v0.2.7 [f5851436] + FFTW_jll v3.3.11+0 [61579ee1] + Ghostscript_jll v9.55.1+0 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0 [aacddb02] + JpegTurbo_jll v3.1.3+0 [81d17ec3] + L_BFGS_B_jll v3.0.1+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 v1.12.0 [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 v1.13.0 [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 v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.16.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.9.9 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+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 v1.67.1+0 [3f19e933] + p7zip_jll v17.6.0+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 8.2s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Error: Failed to use TestEnv.jl; test dependencies will not be precompiled │ exception = │ UndefVarError: `project_rel_path` not defined in `TestEnv` │ Suggestion: this global was defined as `Pkg.Operations.project_rel_path` but not assigned a value. │ Stacktrace: │ [1] get_test_dir(ctx::Pkg.Types.Context, pkgspec::PackageSpec) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:75 │ [2] test_dir_has_project_file │ @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:52 [inlined] │ [3] maybe_gen_project_override! │ @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:83 [inlined] │ [4] activate(pkg::String; allow_reresolve::Bool) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:12 │ [5] activate(pkg::String) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:9 │ [6] top-level scope │ @ /PkgEval.jl/scripts/precompile.jl:24 │ [7] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [8] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:344 │ [9] _start() │ @ Base ./client.jl:577 └ @ Main /PkgEval.jl/scripts/precompile.jl:26 Precompiling package dependencies... Precompiling packages... 4573.4 ms ✓ NamedArrays 16481.4 ms ✓ TensorCast 3393.8 ms ✓ SparseConnectivityTracer → SparseConnectivityTracerSpecialFunctionsExt 50318.7 ms ✓ SymbolicUtils 21494.2 ms ✓ SciMLBase 10747.5 ms ✓ StanBase 4727.2 ms ✓ Transducers → TransducersBlockArraysExt 4341.9 ms ✓ AbstractMCMC 3699.9 ms ✓ TransformVariables 1759.8 ms ✓ LogDensityProblemsAD → LogDensityProblemsADForwardDiffExt 1388.6 ms ✓ Roots → RootsForwardDiffExt 3557.3 ms ✓ Distributions → DistributionsDensityInterfaceExt 5231.4 ms ✓ MCMCDiagnosticTools 4335.0 ms ✓ AdvancedVI 7622.3 ms ✓ Bijectors 7890.7 ms ✓ DistributionsAD 2960.4 ms ✓ LabelledArrays 4354.1 ms ✓ KernelDensity 11478.9 ms ✓ DynamicHMC 8699.7 ms ✓ SymbolicLimits 3132.8 ms ✓ SciMLBase → SciMLBaseChainRulesCoreExt 3542.2 ms ✓ SciMLBase → SciMLBaseForwardDiffExt 2826.4 ms ✓ SciMLBase → SciMLBaseDifferentiationInterfaceExt 4815.7 ms ✓ SciMLBase → SciMLBaseDistributionsExt 4204.6 ms ✓ SciMLBase → SciMLBaseMLStyleExt 2919.8 ms ✓ SCCNonlinearSolve 5858.8 ms ✓ DiffEqBase 13545.7 ms ✓ StanSample 5975.3 ms ✓ AdvancedHMC 4810.7 ms ✓ SSMProblems 5225.1 ms ✓ AdvancedMH 4917.5 ms ✓ EllipticalSliceSampling 3912.9 ms ✓ AbstractPPL 2063.8 ms ✓ TransformVariables → ChangesOfVariablesExt 2017.9 ms ✓ TransformVariables → InverseFunctionsExt 2113.7 ms ✓ TransformedLogDensities 4540.4 ms ✓ Bijectors → BijectorsEnzymeCoreExt 4057.2 ms ✓ Bijectors → BijectorsForwardDiffExt 3613.2 ms ✓ AdvancedVI → AdvancedVIBijectorsExt 3771.8 ms ✓ DistributionsAD → DistributionsADForwardDiffExt 3592.5 ms ✓ Bijectors → BijectorsDistributionsADExt 6365.9 ms ✓ SymbolicUtils → SymbolicUtilsLabelledArraysExt 9566.9 ms ✓ MCMCChains 5560.4 ms ✓ OptimizationBase 6705.8 ms ✓ SciMLJacobianOperators 54620.2 ms ✓ Symbolics 3626.9 ms ✓ DiffEqBase → DiffEqBaseSparseArraysExt 4517.0 ms ✓ DiffEqBase → DiffEqBaseUnitfulExt 3681.3 ms ✓ DiffEqBase → DiffEqBaseChainRulesCoreExt 3978.3 ms ✓ DiffEqBase → DiffEqBaseForwardDiffExt 9283.6 ms ✓ DiffEqCallbacks 9624.7 ms ✓ OrdinaryDiffEqCore 3741.2 ms ✓ AdvancedHMC → AdvancedHMCADTypesExt 5683.3 ms ✓ AdvancedPS 4499.0 ms ✓ AdvancedMH → AdvancedMHStructArraysExt 4839.2 ms ✓ AdvancedMH → AdvancedMHForwardDiffExt 19146.2 ms ✓ DynamicPPL 8456.7 ms ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt 8414.6 ms ✓ AdvancedMH → AdvancedMHMCMCChainsExt 1398.8 ms ✓ OptimizationBase → OptimizationForwardDiffExt 5695.6 ms ✓ Optimization 10477.4 ms ✓ LineSearch 15872.3 ms ✓ NonlinearSolveBase 13555.1 ms ✓ Symbolics → SymbolicsForwardDiffExt 12721.0 ms ✓ DifferentiationInterface → DifferentiationInterfaceSymbolicsExt 9457.4 ms ✓ DiffEqNoiseProcess 3672.7 ms ✓ DiffEqCallbacks → DiffEqCallbacksFunctorsExt 8176.0 ms ✓ JumpProcesses 3859.8 ms ✓ OrdinaryDiffEqCore → OrdinaryDiffEqCoreEnzymeCoreExt 5368.0 ms ✓ AdvancedPS → AdvancedPSLibtaskExt 6763.7 ms ✓ DynamicPPL → DynamicPPLChainRulesCoreExt 9283.4 ms ✓ DynamicPPL → DynamicPPLMCMCChainsExt 5839.1 ms ✓ DynamicPPL → DynamicPPLForwardDiffExt 5446.3 ms ✓ DynamicPPL → DynamicPPLEnzymeCoreExt 29226.9 ms ✓ OptimizationOptimJL 4097.7 ms ✓ LineSearch → LineSearchLineSearchesExt 3897.6 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseMatrixColoringsExt 3876.5 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseArraysExt 3276.3 ms ✓ NonlinearSolveBase → NonlinearSolveBaseChainRulesCoreExt 3150.5 ms ✓ NonlinearSolveBase → NonlinearSolveBaseLineSearchExt 4143.3 ms ✓ NonlinearSolveBase → NonlinearSolveBaseForwardDiffExt 8300.2 ms ✓ BracketingNonlinearSolve 9520.6 ms ✓ Symbolics → SymbolicsPreallocationToolsExt 15765.4 ms ✓ Turing 3750.6 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveForwardDiffExt 13347.2 ms ✓ Turing → TuringOptimExt 16805.7 ms ✓ Turing → TuringDynamicHMCExt 3598.8 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveChainRulesCoreExt 17599.9 ms ✓ SimpleNonlinearSolve 4665.4 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveChainRulesCoreExt 5609.0 ms ✓ ImplicitDiscreteSolve 318454.4 ms ✓ ModelingToolkit 51625.3 ms ✓ ModelingToolkit → MTKLabelledArraysExt 52148.2 ms ✓ OptimizationBase → OptimizationMTKExt 97002.2 ms ✓ DiffEqBayes 95 dependencies successfully precompiled in 1235 seconds. 380 already precompiled. 2 dependencies had output during precompilation: ┌ StanSample │ ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. │ └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 └ ┌ DiffEqBayes │ ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. │ └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 └ Precompilation completed after 1238.68s ################################################################################ # Testing # Testing DiffEqBayes Status `/tmp/jl_T8QOPz/Project.toml` [2b5f629d] DiffEqBase v6.190.2 [ebbdde9d] DiffEqBayes v3.9.0 [163ba53b] DiffResults v1.1.0 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.122 [ffbed154] DocStringExtensions v0.9.5 [bbc10e6e] DynamicHMC v3.5.1 [f6369f11] ForwardDiff v1.2.2 [2ee39098] LabelledArrays v1.16.1 [996a588d] LogDensityProblemsAD v1.13.1 [1914dd2f] MacroTools v0.5.16 [e1d29d7a] Missings v1.2.0 [961ee093] ModelingToolkit v10.26.1 [429524aa] Optim v1.13.2 [1dea7af3] OrdinaryDiffEq v6.103.0 [90014a1f] PDMats v0.11.36 [65888b18] ParameterizedFunctions v5.19.0 [d96e819e] Parameters v0.12.3 [731186ca] RecursiveArrayTools v3.39.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [1bc83da4] SafeTestsets v0.1.0 [53ae85a6] SciMLStructures v1.7.0 ⌃ [c1514b29] StanSample v7.1.1 [2913bbd2] StatsBase v0.34.7 [9672c7b4] SteadyStateDiffEq v2.7.0 [09ab397b] StructArrays v0.7.2 [84d833dd] TransformVariables v0.8.17 [f9bc47f6] TransformedLogDensities v1.1.1 ⌅ [fce5fe82] Turing v0.39.10 [8ba89e20] Distributed v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_T8QOPz/Manifest.toml` [47edcb42] ADTypes v1.18.0 [621f4979] AbstractFFTs v1.5.0 [80f14c24] AbstractMCMC v5.9.0 ⌅ [7a57a42e] AbstractPPL v0.12.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.4.0 [0bf59076] AdvancedHMC v0.8.3 [5b7e9947] AdvancedMH v0.8.8 [576499cb] AdvancedPS v0.7.0 ⌅ [b5ca4192] AdvancedVI v0.4.1 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.22.0 [4c555306] ArrayLayouts v1.12.0 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.8 [198e06fe] BangBang v0.4.6 [9718e550] Baselet v0.1.1 [e2ed5e7c] Bijections v0.2.2 [76274a88] Bijectors v0.15.12 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] BlockArrays v1.9.1 [70df07ce] BracketingNonlinearSolve v1.5.0 [2a0fbf3d] CPUSummary v0.2.7 [336ed68f] CSV v0.10.15 [082447d4] ChainRules v1.72.6 [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 v0.9.1 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [5224ae11] CompatHelperLocal v0.1.27 [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 v0.19.1 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [b429d917] DensityInterface v0.4.0 [2b5f629d] DiffEqBase v6.190.2 [ebbdde9d] DiffEqBayes v3.9.0 [459566f4] DiffEqCallbacks v4.10.1 [77a26b50] DiffEqNoiseProcess v5.24.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.10 [8d63f2c5] DispatchDoctor v0.4.26 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.122 [ced4e74d] DistributionsAD v0.6.58 [ffbed154] DocStringExtensions v0.9.5 [5b8099bc] DomainSets v0.7.16 [bbc10e6e] DynamicHMC v3.5.1 ⌅ [366bfd00] DynamicPPL v0.36.15 [7c1d4256] DynamicPolynomials v0.6.4 [06fc5a27] DynamicQuantities v1.10.0 [cad2338a] EllipticalSliceSampling v2.0.0 [4e289a0a] EnumX v1.0.5 [f151be2c] EnzymeCore v0.8.15 [d4d017d3] ExponentialUtilities v1.27.0 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [7a1cc6ca] FFTW v1.10.0 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [442a2c76] FastGaussQuadrature v1.1.0 [a4df4552] FastPower v1.2.0 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.14.0 [64ca27bc] FindFirstFunctions v1.4.2 [6a86dc24] FiniteDiff v2.29.0 [1fa38f19] Format v1.3.7 [f6369f11] ForwardDiff v1.2.2 [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 v1.3.1 [86223c79] Graphs v1.13.1 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [3263718b] ImplicitDiscreteSolve v1.2.0 [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 v0.7.11 [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 v2.1.6 ⌅ [70703baa] JuliaSyntax v0.4.10 [ccbc3e58] JumpProcesses v9.19.1 [5ab0869b] KernelDensity v0.6.10 [ba0b0d4f] Krylov v0.10.2 [5be7bae1] LBFGSB v0.4.1 [b964fa9f] LaTeXStrings v1.4.0 [2ee39098] LabelledArrays v1.16.1 [23fbe1c1] Latexify v0.16.10 [10f19ff3] LayoutPointers v0.1.17 [5078a376] LazyArrays v2.8.0 [1fad7336] LazyStack v0.1.3 [1d6d02ad] LeftChildRightSiblingTrees v0.2.1 [6f1fad26] Libtask v0.9.6 [87fe0de2] LineSearch v0.1.4 [d3d80556] LineSearches v7.4.0 [7ed4a6bd] LinearSolve v3.46.1 [6fdf6af0] LogDensityProblems v2.2.0 [996a588d] LogDensityProblemsAD v1.13.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 [c7f686f2] MCMCChains v7.6.0 [be115224] MCMCDiagnosticTools v0.3.15 [e80e1ace] MLJModelInterface v1.12.0 [d8e11817] MLStyle v0.4.17 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [dbb5928d] MappedArrays v0.4.2 [bb5d69b7] MaybeInplace v0.1.4 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [dbe65cb8] MistyClosures v2.1.0 [961ee093] ModelingToolkit v10.26.1 [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 v4.12.0 [be0214bd] NonlinearSolveBase v2.0.0 [5959db7a] NonlinearSolveFirstOrder v1.9.0 [9a2c21bd] NonlinearSolveQuasiNewton v1.10.0 [26075421] NonlinearSolveSpectralMethods v1.5.0 [6fe1bfb0] OffsetArrays v1.17.0 [429524aa] Optim v1.13.2 [3bd65402] Optimisers v0.4.6 ⌅ [7f7a1694] Optimization v4.8.0 ⌅ [bca83a33] OptimizationBase v2.14.0 ⌃ [36348300] OptimizationOptimJL v0.4.5 [bac558e1] OrderedCollections v1.8.1 [1dea7af3] OrdinaryDiffEq v6.103.0 [89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.5.0 [6ad6398a] OrdinaryDiffEqBDF v1.10.1 [bbf590c4] OrdinaryDiffEqCore v1.36.0 [50262376] OrdinaryDiffEqDefault v1.8.0 [4302a76b] OrdinaryDiffEqDifferentiation v1.16.1 [9286f039] OrdinaryDiffEqExplicitRK v1.4.0 [e0540318] OrdinaryDiffEqExponentialRK v1.8.0 [becaefa8] OrdinaryDiffEqExtrapolation v1.9.0 [5960d6e9] OrdinaryDiffEqFIRK v1.16.0 [101fe9f7] OrdinaryDiffEqFeagin v1.4.0 [d3585ca7] OrdinaryDiffEqFunctionMap v1.5.0 [d28bc4f8] OrdinaryDiffEqHighOrderRK v1.5.0 [9f002381] OrdinaryDiffEqIMEXMultistep v1.7.0 [521117fe] OrdinaryDiffEqLinear v1.6.0 [1344f307] OrdinaryDiffEqLowOrderRK v1.6.0 [b0944070] OrdinaryDiffEqLowStorageRK v1.7.0 [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.15.0 [c9986a66] OrdinaryDiffEqNordsieck v1.4.0 [5dd0a6cf] OrdinaryDiffEqPDIRK v1.6.0 [5b33eab2] OrdinaryDiffEqPRK v1.4.0 [04162be5] OrdinaryDiffEqQPRK v1.4.0 [af6ede74] OrdinaryDiffEqRKN v1.5.0 [43230ef6] OrdinaryDiffEqRosenbrock v1.18.1 [2d112036] OrdinaryDiffEqSDIRK v1.7.0 [669c94d9] OrdinaryDiffEqSSPRK v1.7.0 [e3e12d00] OrdinaryDiffEqStabilizedIRK v1.6.0 [358294b1] OrdinaryDiffEqStabilizedRK v1.4.0 [fa646aed] OrdinaryDiffEqSymplecticRK v1.7.0 [b1df2697] OrdinaryDiffEqTsit5 v1.5.0 [79d7bb75] OrdinaryDiffEqVerner v1.6.0 [90014a1f] PDMats v0.11.36 [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 v0.7.18 [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 v1.5.0 [08abe8d2] PrettyTables v3.1.0 [27ebfcd6] Primes v0.5.7 [33c8b6b6] ProgressLogging v0.1.5 [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 v3.39.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [ae5879a3] ResettableStacks v1.1.1 [79098fc4] Rmath v0.9.0 [f2b01f46] Roots v2.2.10 [7e49a35a] RuntimeGeneratedFunctions v0.5.16 [9dfe8606] SCCNonlinearSolve v1.6.0 [94e857df] SIMDTypes v0.1.0 ⌅ [26aad666] SSMProblems v0.5.2 [1bc83da4] SafeTestsets v0.1.0 [0bca4576] SciMLBase v2.124.0 [19f34311] SciMLJacobianOperators v0.1.11 [a6db7da4] SciMLLogging v1.3.1 [c0aeaf25] SciMLOperators v1.9.0 [431bcebd] SciMLPublic v1.0.0 [53ae85a6] SciMLStructures v1.7.0 [30f210dd] ScientificTypesBase v3.0.0 [91c51154] SentinelArrays v1.4.8 [efcf1570] Setfield v1.1.2 [727e6d20] SimpleNonlinearSolve v2.9.0 [699a6c99] SimpleTraits v0.9.5 [ce78b400] SimpleUnPack v1.1.0 [a2af1166] SortingAlgorithms v1.2.2 [9f842d2f] SparseConnectivityTracer v1.1.2 [dc90abb0] SparseInverseSubset v0.1.2 [0a514795] SparseMatrixColorings v0.4.23 [276daf66] SpecialFunctions v2.6.1 [171d559e] SplittablesBase v0.1.15 [d0ee94f6] StanBase v4.12.2 ⌃ [c1514b29] StanSample v7.1.1 [aedffcd0] Static v1.3.1 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.15 [1e83bf80] StaticArraysCore v1.4.4 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.7 [4c63d2b9] StatsFuns v1.5.2 [9672c7b4] SteadyStateDiffEq v2.7.0 [7792a7ef] StrideArraysCore v0.5.8 [5e0ebb24] Strided v2.3.2 [4db3bf67] StridedViews v0.4.1 [892a3eda] StringManipulation v0.4.1 [09ab397b] StructArrays v0.7.2 [2efcf032] SymbolicIndexingInterface v0.3.46 ⌃ [19f23fe9] SymbolicLimits v0.2.3 ⌅ [d1185830] SymbolicUtils v3.32.0 [0c5d862f] Symbolics v6.57.0 [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 v0.8.17 [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 v0.39.10 [5c2747f8] URIs v1.6.1 [3a884ed6] UnPack v1.0.2 [1986cc42] Unitful v1.25.1 [a7c27f48] Unityper v0.1.6 [ea10d353] WeakRefStrings v1.4.2 [efce3f68] WoodburyMatrices v1.0.0 [76eceee3] WorkerUtilities v1.6.1 [700de1a5] ZygoteRules v0.2.7 [f5851436] FFTW_jll v3.3.11+0 [61579ee1] Ghostscript_jll v9.55.1+0 [1d5cc7b8] IntelOpenMP_jll v2025.2.0+0 [aacddb02] JpegTurbo_jll v3.1.3+0 [81d17ec3] L_BFGS_B_jll v3.0.1+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 v1.12.0 [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 v1.13.0 [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 v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.16.0+0 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.9.9 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+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 v1.67.1+0 [3f19e933] p7zip_jll v17.6.0+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/b28X4/src/utils.jl:121 ┌ Info: found initial stepsize └ ϵ = 0.2 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00013 │ estimated_seconds_left = 0.0093 └ ϵ = 0.2 ┌ Warning: 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/RPW6n/src/integrator_interface.jl:626 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0001 │ estimated_seconds_left = 0.0025 └ ϵ = 0.0012 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00016517666004289646, 0.20334349485587785, 0.11653383367205328] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.02 │ estimated_seconds_left = 0.99 └ ϵ = 0.000161 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00019177718298360818, 0.2282984369601291, 0.2600839480706959] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 9.7e-5 │ estimated_seconds_left = 0.0096 └ ϵ = 0.657 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00015935622462164844, 0.25084015117496805, 0.2755994389285644] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0001 │ estimated_seconds_left = 0.02 └ ϵ = 0.775 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00027 │ estimated_seconds_left = 0.027 └ ϵ = 0.4 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0001920585727664664, 0.25082339445512325, 0.24808264081354292] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 9.0e-5 │ estimated_seconds_left = 0.036 └ ϵ = 0.861 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00022 │ estimated_seconds_left = 0.064 └ ϵ = 1.06 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00045 │ estimated_seconds_left = 0.09 └ ϵ = 0.824 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00022 │ estimated_seconds_left = 0.022 └ ϵ = 0.778 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0001992644005854395, 0.2714553174194271, 0.24625025538289497] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00021 │ estimated_seconds_left = 0.011 └ ϵ = 0.878 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00022 └ estimated_seconds_left = 0.22 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00045 └ estimated_seconds_left = 0.4 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00022 └ estimated_seconds_left = 0.17 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00019 └ estimated_seconds_left = 0.13 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00019 └ estimated_seconds_left = 0.12 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00018 └ estimated_seconds_left = 0.09 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00023 └ estimated_seconds_left = 0.093 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00018 └ estimated_seconds_left = 0.055 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00018 └ estimated_seconds_left = 0.037 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.0002 └ estimated_seconds_left = 0.02 ┌ Warning: 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/RPW6n/src/integrator_interface.jl:626 ┌ Warning: 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/RPW6n/src/integrator_interface.jl:626 ┌ Info: found initial stepsize └ ϵ = 0.0125 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00014 │ estimated_seconds_left = 0.01 └ ϵ = 0.0125 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.034 │ estimated_seconds_left = 0.81 └ ϵ = 0.000309 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0018320034139995198, 0.005890138705282755, 0.0006320448212953227, 0.07310321078999571, 0.08557297225263182] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.032 │ estimated_seconds_left = 1.6 └ ϵ = 0.000124 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0017510147576369015, 0.0038163545993140555, 0.0004949547165822947, 0.22966173265775683, 0.2995048639337986] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.001 │ estimated_seconds_left = 0.1 └ ϵ = 0.155 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0014747499921589243, 0.003588979260030954, 0.0005307877274663181, 0.2515523188113669, 0.2720873169102311] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00047 │ estimated_seconds_left = 0.093 └ ϵ = 0.229 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0013 │ estimated_seconds_left = 0.13 └ ϵ = 0.241 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00149247442702068, 0.003157756327857996, 0.00047881957383819106, 0.2654216260931787, 0.25155247485057114] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00049 │ estimated_seconds_left = 0.2 └ ϵ = 0.242 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0012 │ estimated_seconds_left = 0.36 └ ϵ = 0.12 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.001 │ estimated_seconds_left = 0.21 └ ϵ = 0.317 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0011 │ estimated_seconds_left = 0.11 └ ϵ = 0.184 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0015526595169228794, 0.0037121109186208966, 0.0005623347008333676, 0.25240281288968747, 0.28536739459362787] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00053 │ estimated_seconds_left = 0.026 └ ϵ = 0.264 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.001 └ estimated_seconds_left = 1.0 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0013 └ estimated_seconds_left = 1.2 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00079 └ estimated_seconds_left = 0.63 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0011 └ estimated_seconds_left = 0.76 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0016 └ estimated_seconds_left = 0.93 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0014 └ estimated_seconds_left = 0.71 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.0016 └ estimated_seconds_left = 0.65 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0014 └ estimated_seconds_left = 0.42 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.0012 └ estimated_seconds_left = 0.24 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.0015 └ estimated_seconds_left = 0.15 ┌ Info: found initial stepsize └ ϵ = 0.2 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 8.9e-5 │ estimated_seconds_left = 0.0066 └ ϵ = 0.2 ┌ Warning: 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/RPW6n/src/integrator_interface.jl:626 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00012 │ estimated_seconds_left = 0.0028 └ ϵ = 0.00789 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.005597318876832623, 0.06016273437120208] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.032 │ estimated_seconds_left = 1.6 └ ϵ = 0.00387 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0012034236930276406, 0.7403946414279345] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00026 │ estimated_seconds_left = 0.025 └ ϵ = 0.0966 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00016509017901083424, 0.34060250753367904] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00024 │ estimated_seconds_left = 0.047 └ ϵ = 0.138 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00034 │ estimated_seconds_left = 0.034 └ ϵ = 0.594 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00016257760450171167, 0.24522570821610043] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 5.6e-5 │ estimated_seconds_left = 0.022 └ ϵ = 0.691 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00039 │ estimated_seconds_left = 0.12 └ ϵ = 1.47 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00044 │ estimated_seconds_left = 0.087 └ ϵ = 0.902 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00026 │ estimated_seconds_left = 0.025 └ ϵ = 0.648 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00014597485129584834, 0.2914092760517142] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00013 │ estimated_seconds_left = 0.0064 └ ϵ = 0.831 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 5.6e-5 └ estimated_seconds_left = 0.056 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00031 └ estimated_seconds_left = 0.28 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0003 └ estimated_seconds_left = 0.24 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00036 └ estimated_seconds_left = 0.25 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00035 └ estimated_seconds_left = 0.21 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00038 └ estimated_seconds_left = 0.19 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00033 └ estimated_seconds_left = 0.13 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0018 └ estimated_seconds_left = 0.53 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00029 └ estimated_seconds_left = 0.057 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00029 └ estimated_seconds_left = 0.028 ┌ Warning: First function call produced NaNs. Exiting. Double check that none of the initial conditions, parameters, or timespan values are NaN. └ @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/GMkz9/src/initdt.jl:132 ┌ Warning: At t=0.0, dt was forced below floating point epsilon 5.0e-324, and step error estimate = NaN. Aborting. There is either an error in your model specification or the true solution is unstable (or the true solution can not be represented in the precision of ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), TransformedLogDensities.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{parameters::TransformVariables.ArrayTransformation{TransformVariables.TVExp, 1}, σ::TransformVariables.ArrayTransformation{TransformVariables.TVExp, 1}}}, DiffEqBayes.DynamicHMCPosterior{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, Main.var"##DynamicHMC#141".LotkaVolterraTest1{Main.var"##DynamicHMC#141".var"###ParameterizedDiffEqFunction#144", Main.var"##DynamicHMC#141".var"###ParameterizedTGradFunction#145", Main.var"##DynamicHMC#141".var"###ParameterizedJacobianFunction#146", Nothing, Nothing, ModelingToolkit.System}, Base.Pairs{Symbol, Union{}, Nothing, @NamedTuple{}}, SciMLBase.StandardODEProblem}, Matrix{Float64}, Vector{Float64}, Vector{Distributions.Normal{Float64}}, Vector{Distributions.Normal{Float64}}, Tuple{}, Vector{Int64}, typeof(identity)}}}, Float64}, Float64, 3}). └ @ SciMLBase ~/.julia/packages/SciMLBase/RPW6n/src/integrator_interface.jl:673 ┌ Warning: At t=2.640281229539282e-270, dt was forced below floating point epsilon 4.2030456845295373e-286, and step error estimate = NaN. Aborting. There is either an error in your model specification or the true solution is unstable (or the true solution can not be represented in the precision of ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), TransformedLogDensities.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{parameters::TransformVariables.ArrayTransformation{TransformVariables.TVExp, 1}, σ::TransformVariables.ArrayTransformation{TransformVariables.TVExp, 1}}}, DiffEqBayes.DynamicHMCPosterior{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, Main.var"##DynamicHMC#141".LotkaVolterraTest1{Main.var"##DynamicHMC#141".var"###ParameterizedDiffEqFunction#144", Main.var"##DynamicHMC#141".var"###ParameterizedTGradFunction#145", Main.var"##DynamicHMC#141".var"###ParameterizedJacobianFunction#146", Nothing, Nothing, ModelingToolkit.System}, Base.Pairs{Symbol, Union{}, Nothing, @NamedTuple{}}, SciMLBase.StandardODEProblem}, Matrix{Float64}, Vector{Float64}, Vector{Distributions.Normal{Float64}}, Vector{Distributions.Normal{Float64}}, Tuple{}, Vector{Int64}, typeof(identity)}}}, Float64}, Float64, 3}). └ @ SciMLBase ~/.julia/packages/SciMLBase/RPW6n/src/integrator_interface.jl:673 ┌ Warning: 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/RPW6n/src/integrator_interface.jl:626 ┌ Warning: 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/RPW6n/src/integrator_interface.jl:626 ┌ Warning: 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/RPW6n/src/integrator_interface.jl:626 ┌ Info: found initial stepsize └ ϵ = 0.00156 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 4.3e-5 │ estimated_seconds_left = 0.0032 └ ϵ = 0.00156 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0042 │ estimated_seconds_left = 0.1 └ ϵ = 0.000658 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00093831654517217, 0.0005847272767971801, 0.4822922891334771] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.034 │ estimated_seconds_left = 1.7 └ ϵ = 0.000552 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0006325565890321499, 0.00030793095784079863, 0.4209422706673149] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.001 │ estimated_seconds_left = 0.1 └ ϵ = 0.174 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008978250581291456, 0.0002998610627368902, 0.2146007512681898] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0005 │ estimated_seconds_left = 0.099 └ ϵ = 0.337 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.001 │ estimated_seconds_left = 0.099 └ ϵ = 0.51 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0007418773201299463, 0.0002516036246449107, 0.26931618319201045] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00049 │ estimated_seconds_left = 0.19 └ ϵ = 0.417 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00062 │ estimated_seconds_left = 0.19 └ ϵ = 0.361 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00049 │ estimated_seconds_left = 0.097 └ ϵ = 0.299 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00068 │ estimated_seconds_left = 0.067 └ ϵ = 0.424 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.000773095472064964, 0.0002772427752599822, 0.2741017301798166] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0003 │ estimated_seconds_left = 0.015 └ ϵ = 0.458 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00054 └ estimated_seconds_left = 0.54 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00065 └ estimated_seconds_left = 0.59 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0012 └ estimated_seconds_left = 0.95 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00063 └ estimated_seconds_left = 0.44 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00056 └ estimated_seconds_left = 0.34 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00067 └ estimated_seconds_left = 0.33 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00062 └ estimated_seconds_left = 0.25 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0006 └ estimated_seconds_left = 0.18 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00059 └ estimated_seconds_left = 0.12 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00061 └ estimated_seconds_left = 0.06 ┌ 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/CpDUh/test/dynamicHMC.jl:69 ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/b28X4/src/utils.jl:121 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Warning: First function call produced NaNs. Exiting. Double check that none of the initial conditions, parameters, or timespan values are NaN. └ @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/GMkz9/src/initdt.jl:132 ┌ Warning: At t=0.0, dt was forced below floating point epsilon 5.0e-324, and step error estimate = NaN. Aborting. There is either an error in your model specification or the true solution is unstable (or the true solution can not be represented in the precision of ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), TransformedLogDensities.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{parameters::TransformVariables.ArrayTransformation{TransformVariables.TVExp, 1}, σ::TransformVariables.ArrayTransformation{TransformVariables.TVExp, 1}}}, DiffEqBayes.DynamicHMCPosterior{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, Main.var"##DynamicHMC#141".LotkaVolterraTest4{Main.var"##DynamicHMC#141".var"###ParameterizedDiffEqFunction#151", Main.var"##DynamicHMC#141".var"###ParameterizedTGradFunction#152", Main.var"##DynamicHMC#141".var"###ParameterizedJacobianFunction#153", Nothing, Nothing, ModelingToolkit.System}, Base.Pairs{Symbol, Union{}, Nothing, @NamedTuple{}}, SciMLBase.StandardODEProblem}, Matrix{Float64}, Vector{Float64}, @NamedTuple{a::Distributions.Truncated{Distributions.Normal{Float64}, Distributions.Continuous, Float64, Float64, Float64}, b::Distributions.Truncated{Distributions.Normal{Float64}, Distributions.Continuous, Float64, Float64, Float64}, c::Distributions.Truncated{Distributions.Normal{Float64}, Distributions.Continuous, Float64, Float64, Float64}, d::Distributions.Truncated{Distributions.Normal{Float64}, Distributions.Continuous, Float64, Float64, Float64}}, Vector{Distributions.Normal{Float64}}, Tuple{}, Nothing, typeof(identity)}}}, Float64}, Float64, 6}). └ @ SciMLBase ~/.julia/packages/SciMLBase/RPW6n/src/integrator_interface.jl:673 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.026 │ estimated_seconds_left = 1.9 └ ϵ = 1.0 ┌ Warning: First function call produced NaNs. Exiting. Double check that none of the initial conditions, parameters, or timespan values are NaN. └ @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/GMkz9/src/initdt.jl:132 ┌ Warning: At t=0.0, dt was forced below floating point epsilon 5.0e-324, and step error estimate = NaN. Aborting. There is either an error in your model specification or the true solution is unstable (or the true solution can not be represented in the precision of ForwardDiff.Dual{ForwardDiff.Tag{Base.Fix1{typeof(LogDensityProblems.logdensity), TransformedLogDensities.TransformedLogDensity{TransformVariables.TransformTuple{@NamedTuple{parameters::TransformVariables.ArrayTransformation{TransformVariables.TVExp, 1}, σ::TransformVariables.ArrayTransformation{TransformVariables.TVExp, 1}}}, DiffEqBayes.DynamicHMCPosterior{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, Main.var"##DynamicHMC#141".LotkaVolterraTest4{Main.var"##DynamicHMC#141".var"###ParameterizedDiffEqFunction#151", Main.var"##DynamicHMC#141".var"###ParameterizedTGradFunction#152", Main.var"##DynamicHMC#141".var"###ParameterizedJacobianFunction#153", Nothing, Nothing, ModelingToolkit.System}, Base.Pairs{Symbol, Union{}, Nothing, @NamedTuple{}}, SciMLBase.StandardODEProblem}, Matrix{Float64}, Vector{Float64}, @NamedTuple{a::Distributions.Truncated{Distributions.Normal{Float64}, Distributions.Continuous, Float64, Float64, Float64}, b::Distributions.Truncated{Distributions.Normal{Float64}, Distributions.Continuous, Float64, Float64, Float64}, c::Distributions.Truncated{Distributions.Normal{Float64}, Distributions.Continuous, Float64, Float64, Float64}, d::Distributions.Truncated{Distributions.Normal{Float64}, Distributions.Continuous, Float64, Float64, Float64}}, Vector{Distributions.Normal{Float64}}, Tuple{}, Nothing, typeof(identity)}}}, Float64}, Float64, 6}). └ @ SciMLBase ~/.julia/packages/SciMLBase/RPW6n/src/integrator_interface.jl:673 ┌ Warning: 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/RPW6n/src/integrator_interface.jl:626 ┌ 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 = 0.000619 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0014859942178774858, 0.0020866257956445103, 0.002468642012435465, 0.002231607447130641, 0.37783497970840535, 0.4735255056298028] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.041 │ estimated_seconds_left = 2.0 └ ϵ = 0.000127 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0011037605265854314, 0.001920240232794009, 0.0016214239293290689, 0.001661170372996206, 0.4602588807539977, 0.3095367221651613] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0043 │ estimated_seconds_left = 0.43 └ ϵ = 0.0199 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0006543216450875121, 0.0011165448808862118, 0.000998708781707809, 0.0009672853045746552, 0.34420486096414865, 0.26639115922145745] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0038 │ estimated_seconds_left = 0.75 └ ϵ = 0.0296 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0044 │ estimated_seconds_left = 0.43 └ ϵ = 0.0479 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008946766082151093, 0.0014394558583029056, 0.0012608842219214882, 0.0013753827882594537, 0.32141927002591797, 0.328054951917641] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0006 │ estimated_seconds_left = 0.24 └ ϵ = 0.0895 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.011 │ estimated_seconds_left = 3.4 └ ϵ = 0.00171 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0055 │ estimated_seconds_left = 1.1 └ ϵ = 0.0607 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0039 │ estimated_seconds_left = 0.39 └ ϵ = 0.114 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0006750601789239455, 0.001216552753473414, 0.0009746529413460076, 0.0010356747393399771, 0.2705314446200857, 0.29718587569670724] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0038 │ estimated_seconds_left = 0.19 └ ϵ = 0.0626 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0024 └ estimated_seconds_left = 2.4 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0042 └ estimated_seconds_left = 3.8 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0046 └ estimated_seconds_left = 3.7 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0044 └ estimated_seconds_left = 3.1 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0046 └ estimated_seconds_left = 2.7 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0042 └ estimated_seconds_left = 2.1 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.0044 └ estimated_seconds_left = 1.8 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0045 └ estimated_seconds_left = 1.3 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.005 └ estimated_seconds_left = 0.99 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.0047 └ estimated_seconds_left = 0.46 Test Summary: | Pass Broken Total Time DynamicHMC | 8 2 10 20m07.5s 1208.863717 seconds (239.06 M allocations: 14.858 GiB, 0.71% gc time, 17.39% compilation time: 6% of which was recompilation) One parameter case ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/b28X4/src/utils.jl:121 ┌ Info: Found initial step size └ ϵ = 0.0125 bayesian_result = MCMC chain (500×14×1 Array{Float64, 3}) ┌ Warning: Using a `Bool` for keyword argument `autodiff` is deprecated. Please use an `ADType` specifier. │ caller = _process_AD_choice(ad_alg::Bool, ::Val{0}, ::Val{:forward}) at misc_utils.jl:158 └ @ Core ~/.julia/packages/OrdinaryDiffEqCore/GMkz9/src/misc_utils.jl:158 ┌ Info: Found initial step size └ ϵ = 0.0125 ====================================================================================== 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 393 running 1 of 1 signal (10): User defined signal 1 _ZN12_GLOBAL__N_18Verifier6verifyERKN4llvm8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm14verifyFunctionERKNS_8FunctionEPNS_11raw_ostreamE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) verifyLLVMIR at /source/src/pipeline.cpp:898 runOnLoop at /source/src/llvm-julia-licm.cpp:356 run at /source/src/llvm-julia-licm.cpp:381 run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE13runSinglePassIS1_St10unique_ptrINS_6detail11PassConceptIS1_S5_JS4_S7_EEESt14default_deleteISD_EEEESt8optionalINS_17PreservedAnalysesEERT_RT0_RS5_S4_S7_RNS_19PassInstrumentationE.isra.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE24runWithoutLoopNestPassesERS1_RS5_S4_S7_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE3runERS1_RS5_S4_S7_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm25FunctionToLoopPassAdaptor3runERNS_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:791 operator() at /source/src/jitlayers.cpp:1513 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:1474 [inlined] operator() at /source/src/jitlayers.cpp:1649 [inlined] addModule at /source/src/jitlayers.cpp:2106 jl_compile_codeinst_now at /source/src/jitlayers.cpp:682 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:876 jl_compile_method_internal at /source/src/gf.c:3648 _jl_invoke at /source/src/gf.c:4108 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #find_initial_params#29 at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:156 find_initial_params at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:145 unknown function (ip: 0x7983e40d2d8c) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #initialstep#30 at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:210 initialstep at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:175 unknown function (ip: 0x7983e40ce5e2) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #step#59 at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:125 step at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:108 [inlined] macro expansion at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/sample.jl:188 [inlined] #27 at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/logging.jl:134 with_logstate at ./logging/logging.jl:540 unknown function (ip: 0x7983e40cd451) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 with_logger at ./logging/logging.jl:651 with_progresslogger at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/logging.jl:157 unknown function (ip: 0x7983ee592ede) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 macro expansion at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/logging.jl:133 [inlined] #mcmcsample#25 at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/sample.jl:168 mcmcsample at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/sample.jl:123 #sample#28 at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:117 [inlined] sample at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:86 unknown function (ip: 0x7983e40c7693) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 sample_chain at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/sample.jl:785 #Generator##0 at ./generator.jl:37 [inlined] iterate at ./generator.jl:48 [inlined] collect at ./array.jl:828 map at ./abstractarray.jl:3544 [inlined] #mcmcsample#106 at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/sample.jl:798 mcmcsample at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/sample.jl:745 unknown function (ip: 0x7983e40bf517) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #sample#109 at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:70 sample at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:59 [inlined] #sample#108 at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:56 [inlined] sample at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:45 [inlined] #sample#107 at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:40 [inlined] sample at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:32 unknown function (ip: 0x7983e409a5ec) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #turing_inference#1 at /home/pkgeval/.julia/packages/DiffEqBayes/CpDUh/src/turing_inference.jl:75 turing_inference at /home/pkgeval/.julia/packages/DiffEqBayes/CpDUh/src/turing_inference.jl:1 unknown function (ip: 0x7983e4099ac1) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [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 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 include_string at ./loading.jl:2994 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3054 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 unknown function (ip: 0x79842a329372) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [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 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_eval_module_expr at /source/src/toplevel.c:248 [inlined] jl_toplevel_eval_flex at /source/src/toplevel.c:650 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 jfptr_eval_7899.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 macro expansion at /home/pkgeval/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [inlined] macro expansion at ./timing.jl:689 [inlined] top-level scope at /home/pkgeval/.julia/packages/DiffEqBayes/CpDUh/test/runtests.jl:10 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_invoke at /source/src/gf.c:4123 jl_toplevel_eval_flex at /source/src/toplevel.c:731 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 include_string at ./loading.jl:2994 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3054 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_77374.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [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 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 exec_options at ./client.jl:310 _start at ./client.jl:577 jfptr__start_48666.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [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: 0x79842bcfc249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. 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:1223 wait_forever at ./task.jl:1145 jfptr_wait_forever_69311.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [inlined] start_task at /source/src/task.c:1281 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:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x0000707c905951e0 Total snapshots: 448. Utilization: 0% ╎448 @Base/task.jl:1145 wait_forever() 447╎ 448 @Base/task.jl:1223 wait() ┌ Info: Found initial step size └ ϵ = 0.00625 [393] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/DiffEqBayes/CpDUh/test/turing.jl:30 LookupBucketFor > > > at /source/usr/include/llvm/ADT/DenseMap.h:670 [inlined] operator[] at /source/usr/include/llvm/ADT/DenseMap.h:350 [inlined] operator[] at /source/usr/include/llvm/IR/ValueMap.h:207 [inlined] removeAddrspaces at /source/src/llvm-remove-addrspaces.cpp:353 run at /source/src/llvm-remove-addrspaces.cpp:430 run at /source/src/llvm-remove-addrspaces.cpp:456 run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/src/pipeline.cpp:791 operator() at /source/src/jitlayers.cpp:1513 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:1474 [inlined] operator() at /source/src/jitlayers.cpp:1649 [inlined] addModule at /source/src/jitlayers.cpp:2106 jl_compile_codeinst_now at /source/src/jitlayers.cpp:682 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:876 jl_compile_method_internal at /source/src/gf.c:3648 _jl_invoke at /source/src/gf.c:4108 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #initialstep#30 at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:251 initialstep at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:175 unknown function (ip: 0x7983e40ce5e2) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #step#59 at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:125 step at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:108 [inlined] macro expansion at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/sample.jl:188 [inlined] #27 at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/logging.jl:134 with_logstate at ./logging/logging.jl:540 unknown function (ip: 0x7983e40cd451) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 with_logger at ./logging/logging.jl:651 with_progresslogger at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/logging.jl:157 unknown function (ip: 0x7983ee592ede) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 macro expansion at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/logging.jl:133 [inlined] #mcmcsample#25 at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/sample.jl:168 mcmcsample at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/sample.jl:123 #sample#28 at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:117 [inlined] sample at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:86 unknown function (ip: 0x7983e40c7693) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 sample_chain at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/sample.jl:785 #Generator##0 at ./generator.jl:37 [inlined] iterate at ./generator.jl:48 [inlined] collect at ./array.jl:828 map at ./abstractarray.jl:3544 [inlined] #mcmcsample#106 at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/sample.jl:798 mcmcsample at /home/pkgeval/.julia/packages/AbstractMCMC/Y1auA/src/sample.jl:745 unknown function (ip: 0x7983e40bf517) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #sample#109 at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:70 sample at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:59 [inlined] #sample#108 at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:56 [inlined] sample at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:45 [inlined] #sample#107 at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:40 [inlined] sample at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/abstractmcmc.jl:32 unknown function (ip: 0x7983e409a5ec) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #turing_inference#1 at /home/pkgeval/.julia/packages/DiffEqBayes/CpDUh/src/turing_inference.jl:75 turing_inference at /home/pkgeval/.julia/packages/DiffEqBayes/CpDUh/src/turing_inference.jl:1 unknown function (ip: 0x7983e4099ac1) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [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 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 include_string at ./loading.jl:2994 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3054 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 unknown function (ip: 0x79842a329372) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [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 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_eval_module_expr at /source/src/toplevel.c:248 [inlined] jl_toplevel_eval_flex at /source/src/toplevel.c:650 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 jfptr_eval_7899.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 macro expansion at /home/pkgeval/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [inlined] macro expansion at ./timing.jl:689 [inlined] top-level scope at /home/pkgeval/.julia/packages/DiffEqBayes/CpDUh/test/runtests.jl:10 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_invoke at /source/src/gf.c:4123 jl_toplevel_eval_flex at /source/src/toplevel.c:731 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 include_string at ./loading.jl:2994 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3054 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_77374.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [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 jl_toplevel_eval_flex at /source/src/toplevel.c:742 jl_eval_toplevel_stmts at /source/src/toplevel.c:585 jl_toplevel_eval_flex at /source/src/toplevel.c:683 ijl_toplevel_eval at /source/src/toplevel.c:754 ijl_toplevel_eval_in at /source/src/toplevel.c:799 eval at ./boot.jl:489 exec_options at ./client.jl:310 _start at ./client.jl:577 jfptr__start_48666.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2284 [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: 0x79842bcfc249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) Allocations: 364019365 (Pool: 364015401; Big: 3964); GC: 150 PkgEval terminated after 2721.95s: test duration exceeded the time limit