Package evaluation to test DiffEqBayes on Julia 1.14.0-DEV.36 (e2f3178d9b*) started at 2025-11-07T04:08:29.131 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 10.15s ################################################################################ # 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 v5.10.0 ⌅ [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 v0.8.9 [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 v1.6.0 [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 v0.19.3 [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 v1.15.0 [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 v2.2.0 ⌅ [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 v0.9.9 [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 v2.2.0 [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 v1.4.0 [c0aeaf25] + SciMLOperators v1.10.0 [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 v2025.11.4 [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 v1.68.0+1 [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 8.65s ################################################################################ # 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... 5266.8 ms ✓ NamedArrays 14513.5 ms ✓ BangBang → BangBangDataFramesExt 1181.7 ms ✓ BangBang → BangBangStructArraysExt 61543.5 ms ✓ SymbolicUtils 13657.8 ms ✓ DynamicHMC 12936.8 ms ✓ StanBase 9517.9 ms ✓ Latexify → DataFramesExt 9284.7 ms ✓ Transducers → TransducersDataFramesExt 5395.5 ms ✓ Transducers → TransducersBlockArraysExt 4815.5 ms ✓ AbstractMCMC 4113.6 ms ✓ SciMLBase → SciMLBaseForwardDiffExt 6419.5 ms ✓ OptimizationBase 1526.8 ms ✓ FastPower → FastPowerForwardDiffExt 3984.4 ms ✓ TransformVariables 2006.9 ms ✓ LogDensityProblemsAD → LogDensityProblemsADForwardDiffExt 2942.0 ms ✓ Unitful → ForwardDiffExt 1583.9 ms ✓ Roots → RootsForwardDiffExt 1884.0 ms ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt 4082.1 ms ✓ Distributions → DistributionsDensityInterfaceExt 6017.1 ms ✓ MCMCDiagnosticTools 5125.6 ms ✓ AdvancedVI 8989.2 ms ✓ Bijectors 9314.6 ms ✓ DistributionsAD 4933.0 ms ✓ KernelDensity 7387.0 ms ✓ Optim 6445.3 ms ✓ DiffEqBase 9769.9 ms ✓ SymbolicLimits 14172.6 ms ✓ StanSample 6865.6 ms ✓ AdvancedHMC 5113.0 ms ✓ SSMProblems 5859.5 ms ✓ AdvancedMH 5532.8 ms ✓ EllipticalSliceSampling 4528.7 ms ✓ AbstractPPL 1535.8 ms ✓ OptimizationBase → OptimizationForwardDiffExt 4697.4 ms ✓ Optimization 2044.7 ms ✓ TransformVariables → ChangesOfVariablesExt 2255.9 ms ✓ TransformVariables → InverseFunctionsExt 2358.0 ms ✓ TransformedLogDensities 3433.0 ms ✓ LabelledArrays 19533.6 ms ✓ SimpleNonlinearSolve 5080.2 ms ✓ Bijectors → BijectorsEnzymeCoreExt 3877.9 ms ✓ Bijectors → BijectorsForwardDiffExt 4040.0 ms ✓ AdvancedVI → AdvancedVIBijectorsExt 4190.4 ms ✓ DistributionsAD → DistributionsADForwardDiffExt 4234.7 ms ✓ Bijectors → BijectorsDistributionsADExt 11096.0 ms ✓ MCMCChains 4299.8 ms ✓ DiffEqBase → DiffEqBaseSparseArraysExt 5331.2 ms ✓ DiffEqBase → DiffEqBaseUnitfulExt 4068.5 ms ✓ DiffEqBase → DiffEqBaseChainRulesCoreExt 4440.4 ms ✓ DiffEqBase → DiffEqBaseForwardDiffExt 10543.1 ms ✓ DiffEqCallbacks 10190.3 ms ✓ OrdinaryDiffEqCore 64848.0 ms ✓ Symbolics 3846.5 ms ✓ AdvancedHMC → AdvancedHMCADTypesExt 6259.2 ms ✓ AdvancedPS 5287.1 ms ✓ AdvancedMH → AdvancedMHStructArraysExt 5220.7 ms ✓ AdvancedMH → AdvancedMHForwardDiffExt 20611.3 ms ✓ DynamicPPL 30275.9 ms ✓ OptimizationOptimJL 7583.8 ms ✓ SymbolicUtils → SymbolicUtilsLabelledArraysExt 4775.2 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveChainRulesCoreExt 8811.4 ms ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt 8151.5 ms ✓ AdvancedMH → AdvancedMHMCMCChainsExt 9264.3 ms ✓ DiffEqNoiseProcess 4517.4 ms ✓ DiffEqCallbacks → DiffEqCallbacksFunctorsExt 8304.4 ms ✓ JumpProcesses 4134.8 ms ✓ OrdinaryDiffEqCore → OrdinaryDiffEqCoreEnzymeCoreExt 14161.3 ms ✓ Symbolics → SymbolicsForwardDiffExt 13030.6 ms ✓ DifferentiationInterface → DifferentiationInterfaceSymbolicsExt 5456.5 ms ✓ AdvancedPS → AdvancedPSLibtaskExt 6267.1 ms ✓ DynamicPPL → DynamicPPLChainRulesCoreExt 9639.1 ms ✓ DynamicPPL → DynamicPPLMCMCChainsExt 5833.7 ms ✓ DynamicPPL → DynamicPPLForwardDiffExt 5560.6 ms ✓ DynamicPPL → DynamicPPLEnzymeCoreExt 6135.7 ms ✓ ImplicitDiscreteSolve 13186.8 ms ✓ Symbolics → SymbolicsPreallocationToolsExt 18658.6 ms ✓ Turing 320492.3 ms ✓ ModelingToolkit 14586.3 ms ✓ Turing → TuringOptimExt 15684.6 ms ✓ Turing → TuringDynamicHMCExt 47755.5 ms ✓ ModelingToolkit → MTKLabelledArraysExt 45157.9 ms ✓ OptimizationBase → OptimizationMTKExt 92071.6 ms ✓ DiffEqBayes 83 dependencies successfully precompiled in 1205 seconds. 392 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 1212.82s ################################################################################ # Testing # Testing DiffEqBayes Status `/tmp/jl_8JYoAc/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_8JYoAc/Manifest.toml` [47edcb42] ADTypes v1.18.0 [621f4979] AbstractFFTs v1.5.0 [80f14c24] AbstractMCMC v5.10.0 ⌅ [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 v0.8.9 [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 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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 v1.68.0+1 [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 = 0.025 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00014 │ estimated_seconds_left = 0.01 └ ϵ = 0.025 ┌ 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 = 0.000513 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0001298555659208412, 0.08732778668537595, 0.14791488417884519] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.027 │ estimated_seconds_left = 1.3 └ ϵ = 0.000206 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00017174378588353213, 0.2547722240815341, 0.26302679235820065] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 9.6e-5 │ estimated_seconds_left = 0.0095 └ ϵ = 1.03 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00017531109786130623, 0.2936889135309441, 0.27804311887403604] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 9.0e-5 │ estimated_seconds_left = 0.018 └ ϵ = 0.693 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00033 │ estimated_seconds_left = 0.033 └ ϵ = 0.561 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00016536844892049872, 0.26713816171010396, 0.22592761002822948] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 8.9e-5 │ estimated_seconds_left = 0.035 └ ϵ = 0.746 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0003 │ estimated_seconds_left = 0.09 └ ϵ = 1.44 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00023 │ estimated_seconds_left = 0.046 └ ϵ = 1.23 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00024 │ estimated_seconds_left = 0.024 └ ϵ = 0.948 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00016509424021590767, 0.25829063537401303, 0.2295457710303215] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0002 │ estimated_seconds_left = 0.0097 └ ϵ = 0.819 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00025 └ estimated_seconds_left = 0.25 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00046 └ estimated_seconds_left = 0.42 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00029 └ estimated_seconds_left = 0.23 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00057 └ estimated_seconds_left = 0.4 ┌ 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 = 0.0003 └ estimated_seconds_left = 0.12 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00028 └ estimated_seconds_left = 0.084 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00028 └ estimated_seconds_left = 0.055 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00026 └ estimated_seconds_left = 0.026 ┌ 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 = 6.0e-5 │ estimated_seconds_left = 0.0044 └ ϵ = 0.0125 ┌ 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 = 0.038 │ estimated_seconds_left = 0.92 └ ϵ = 0.000255 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0013978651663206878, 0.0030460680416817395, 0.0005854309669038505, 0.10013476014817785, 0.12940220348682335] ┌ 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 = 0.00013 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0015739718914012544, 0.003174043159329044, 0.0006088771381641945, 0.23578086922676827, 0.1703045601076113] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00049 │ estimated_seconds_left = 0.048 └ ϵ = 0.184 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0015387107662384724, 0.00413607103292106, 0.0004884746896707237, 0.34081929475403844, 0.3048520576987367] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00049 │ estimated_seconds_left = 0.098 └ ϵ = 0.226 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0012 │ estimated_seconds_left = 0.12 └ ϵ = 0.348 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0011413867026696376, 0.0033971989654470233, 0.0004374625588794061, 0.2865640407888963, 0.27263685954181544] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00057 │ estimated_seconds_left = 0.23 └ ϵ = 0.227 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0012 │ estimated_seconds_left = 0.36 └ ϵ = 0.231 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00084 │ estimated_seconds_left = 0.17 └ ϵ = 0.502 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00079 │ estimated_seconds_left = 0.078 └ ϵ = 0.343 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0014919342784542194, 0.0037048955211152123, 0.0005230158994758595, 0.26534998777505664, 0.3023569295000921] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00024 │ estimated_seconds_left = 0.012 └ ϵ = 0.309 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00048 └ estimated_seconds_left = 0.48 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0012 └ estimated_seconds_left = 1.0 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0013 └ estimated_seconds_left = 1.0 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0014 └ estimated_seconds_left = 0.95 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0013 └ estimated_seconds_left = 0.8 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0014 └ estimated_seconds_left = 0.71 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.0012 └ estimated_seconds_left = 0.48 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0011 └ estimated_seconds_left = 0.34 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.0013 └ estimated_seconds_left = 0.26 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.0012 └ estimated_seconds_left = 0.12 ┌ Info: found initial stepsize └ ϵ = 0.2 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00016 │ estimated_seconds_left = 0.012 └ 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 = 0.00147 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00021372445653911466, 0.4002179364902699] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.063 │ estimated_seconds_left = 3.1 └ ϵ = 0.000198 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0001600857389370171, 0.22506706347767128] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00022 │ estimated_seconds_left = 0.022 └ ϵ = 0.473 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0001627401602836996, 0.22589036891887554] ┌ 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 = 0.996 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00024 │ estimated_seconds_left = 0.024 └ ϵ = 0.836 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00017014935763034477, 0.29134133392176553] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00022 │ estimated_seconds_left = 0.088 └ ϵ = 0.902 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00027 │ estimated_seconds_left = 0.081 └ ϵ = 1.06 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0002 │ estimated_seconds_left = 0.04 └ ϵ = 0.981 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00021 │ estimated_seconds_left = 0.02 └ ϵ = 0.576 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00015855897389092862, 0.2506633201855301] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00021 │ estimated_seconds_left = 0.01 └ ϵ = 0.77 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00011 └ estimated_seconds_left = 0.11 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00022 └ estimated_seconds_left = 0.19 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0002 └ estimated_seconds_left = 0.16 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00022 └ estimated_seconds_left = 0.15 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00023 └ estimated_seconds_left = 0.14 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0002 └ estimated_seconds_left = 0.1 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00024 └ estimated_seconds_left = 0.097 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0002 └ estimated_seconds_left = 0.06 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00024 └ estimated_seconds_left = 0.048 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00023 └ estimated_seconds_left = 0.022 ┌ 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=2.576275935077268e-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 = 4.8e-5 │ estimated_seconds_left = 0.0036 └ ϵ = 0.00156 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.013 │ estimated_seconds_left = 0.32 └ ϵ = 0.000418 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0009465340942038318, 0.0004023237935477391, 0.10228172186079763] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.03 │ estimated_seconds_left = 1.5 └ ϵ = 0.000248 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008248000287651633, 0.00027223181081559614, 0.26473588677307686] ┌ 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 = 0.026 └ ϵ = 0.233 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0007562292714775856, 0.00027829261561780605, 0.2815457439029634] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00018 │ estimated_seconds_left = 0.036 └ ϵ = 0.38 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00063 │ estimated_seconds_left = 0.062 └ ϵ = 0.604 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008494898398834125, 0.0002803121092417828, 0.26530165816237217] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 4.7e-5 │ estimated_seconds_left = 0.019 └ ϵ = 0.435 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00067 │ estimated_seconds_left = 0.2 └ ϵ = 0.794 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00048 │ estimated_seconds_left = 0.096 └ ϵ = 0.488 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00055 │ estimated_seconds_left = 0.054 └ ϵ = 0.247 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0007515022842791196, 0.00027542182964698764, 0.29132615950551405] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0005 │ estimated_seconds_left = 0.024 └ ϵ = 0.428 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00027 └ estimated_seconds_left = 0.27 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00058 └ estimated_seconds_left = 0.52 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00062 └ estimated_seconds_left = 0.49 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00081 └ estimated_seconds_left = 0.57 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00056 └ estimated_seconds_left = 0.34 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00056 └ estimated_seconds_left = 0.28 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00057 └ estimated_seconds_left = 0.23 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00056 └ estimated_seconds_left = 0.17 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00054 └ estimated_seconds_left = 0.11 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00051 └ estimated_seconds_left = 0.051 ┌ 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 = 0.023 │ estimated_seconds_left = 1.7 └ 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 = 0.0012 │ estimated_seconds_left = 0.029 └ ϵ = 0.00101 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0019539895420418903, 0.0038578952886328738, 0.0033173151896394837, 0.003642689305873063, 0.14311184336419736, 0.0731275775488371] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.04 │ estimated_seconds_left = 2.0 └ ϵ = 0.000436 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0011692854126041153, 0.0026280941586076627, 0.0017810208489186382, 0.0017692666417991507, 0.2901344988407527, 0.25850403848095255] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0013 │ estimated_seconds_left = 0.13 └ ϵ = 0.0514 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0012751107495187972, 0.00209028908276489, 0.0019037733533378268, 0.002083100692589116, 0.26129788065705284, 0.2515771623380902] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0012 │ estimated_seconds_left = 0.24 └ ϵ = 0.115 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0037 │ estimated_seconds_left = 0.36 └ ϵ = 0.0615 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0010513093130703765, 0.002272055990769028, 0.001594353909615463, 0.001711548505921412, 0.27843852649985507, 0.3162699365499341] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00061 │ estimated_seconds_left = 0.25 └ ϵ = 0.118 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0071 │ estimated_seconds_left = 2.1 └ ϵ = 0.159 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0026 │ estimated_seconds_left = 0.52 └ ϵ = 0.0929 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0019 │ estimated_seconds_left = 0.19 └ ϵ = 0.191 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0012888716973214534, 0.0024709819936905254, 0.0018918901376266109, 0.0020614963843381276, 0.31322976266573216, 0.2690158072739624] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0012 │ estimated_seconds_left = 0.059 └ ϵ = 0.147 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0013 └ estimated_seconds_left = 1.3 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0029 └ estimated_seconds_left = 2.6 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0031 └ estimated_seconds_left = 2.5 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0028 └ estimated_seconds_left = 2.0 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0032 └ estimated_seconds_left = 1.9 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0031 └ estimated_seconds_left = 1.6 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.0029 └ estimated_seconds_left = 1.2 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0027 └ estimated_seconds_left = 0.82 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.003 └ estimated_seconds_left = 0.59 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.0027 └ estimated_seconds_left = 0.27 Test Summary: | Pass Broken Total Time DynamicHMC | 8 2 10 18m13.0s 1094.306941 seconds (235.44 M allocations: 14.406 GiB, 0.76% gc time, 18.94% compilation time: 5% 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 = 0.025 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 = 0.00625 ┌ Info: Found initial step size └ ϵ = 0.005859375 Multithreaded case ┌ Warning: Only a single thread available: MCMC chains are not sampled in parallel └ @ AbstractMCMC ~/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:432 ┌ Info: Found initial step size └ ϵ = 0.00625 ┌ Info: Found initial step size └ ϵ = 0.0125 ┌ Info: Found initial step size └ ϵ = 0.00625 ┌ Info: Found initial step size └ ϵ = 0.0125 ┌ Info: Found initial step size └ ϵ = 0.0125 Four parameter case ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/b28X4/src/utils.jl:121 ====================================================================================== 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 345 running 1 of 1 signal (10): User defined signal 1 jl_to_typeof at /source/src/julia.h:1023 [inlined] verify_type at /source/src/gf.c:4091 [inlined] _jl_invoke at /source/src/gf.c:4117 [inlined] ijl_apply_generic at /source/src/gf.c:4313 statement_cost at ./../usr/share/julia/Compiler/src/optimize.jl:1397 statement_or_branch_cost at ./../usr/share/julia/Compiler/src/optimize.jl:1473 [inlined] inline_cost_model at ./../usr/share/julia/Compiler/src/optimize.jl:1495 inline_cost_model at ./../usr/share/julia/Compiler/src/typeinfer.jl:398 compute_inlining_cost at ./../usr/share/julia/Compiler/src/typeinfer.jl:349 [inlined] transform_result_for_cache at ./../usr/share/julia/Compiler/src/typeinfer.jl:420 finish! at ./../usr/share/julia/Compiler/src/typeinfer.jl:127 jfptr_finishNOT._88551.1 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 finish_nocycle at ./../usr/share/julia/Compiler/src/typeinfer.jl:235 jfptr_finish_nocycle_88232.1 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 typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4493 typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1379 typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1562 [inlined] typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1571 jfptr_typeinf_ext_toplevel_85045.1 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] jl_type_infer at /source/src/gf.c:463 jl_compile_method_internal at /source/src/gf.c:3636 _jl_invoke at /source/src/gf.c:4108 [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: 0x7b8d04480f61) 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: 0x7b8d4ff289b2) 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_17214.1 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_57780.1 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_68679.1 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: 0x7b8d51915249) 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:1246 wait_forever at ./task.jl:1168 jfptr_wait_forever_76916.1 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 0x000079b3346c6e00 Total snapshots: 374. Utilization: 0% ╎374 @Base/task.jl:1168 wait_forever() 373╎ 374 @Base/task.jl:1246 wait() [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1246 wait_forever at ./task.jl:1168 jfptr_wait_forever_76916.1 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) Allocations: 26687157 (Pool: 26686411; Big: 746); GC: 24 [345] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/DiffEqBayes/CpDUh/test/turing.jl:84 type_object_id_ at /source/src/builtins.c:366 type_object_id_ at /source/src/builtins.c:401 type_object_id_ at /source/src/builtins.c:392 type_object_id_ at /source/src/builtins.c:401 type_object_id_ at /source/src/builtins.c:390 type_object_id_ at /source/src/builtins.c:390 type_object_id_ at /source/src/builtins.c:390 type_object_id_ at /source/src/builtins.c:392 jl_idset_peek_bp at /source/src/idset.c:34 jl_idset_get at /source/src/idset.c:40 jl_as_global_root at /source/src/staticdata.c:2868 [inlined] jl_as_global_root at /source/src/staticdata.c:2848 inst_datatype_inner at /source/src/jltypes.c:2282 jl_apply_tuple_type_v_ at /source/src/jltypes.c:2466 [inlined] ijl_apply_tuple_type_v at /source/src/jltypes.c:2476 intersect_tuple at /source/src/subtype.c:3763 intersect at /source/src/subtype.c:4216 intersect_unionall_ at /source/src/subtype.c:3383 intersect_unionall at /source/src/subtype.c:3474 intersect at /source/src/subtype.c:4202 intersect_all at /source/src/subtype.c:4358 jl_type_intersection_env_s at /source/src/subtype.c:4606 jl_typemap_intersection_node_visitor at /source/src/typemap.c:543 jl_typemap_intersection_visitor at /source/src/typemap.c:810 jl_typemap_intersection_visitor at /source/src/typemap.c:726 ml_matches at /source/src/gf.c:4966 ml_matches at /source/src/gf.c:4847 [inlined] ijl_matching_methods at /source/src/gf.c:3234 [inlined] ijl_matching_methods at /source/src/gf.c:3221 _methods_by_ftype at ./runtime_internals.jl:1603 [inlined] _findall at ./../usr/share/julia/Compiler/src/methodtable.jl:97 [inlined] #findall#5 at ./../usr/share/julia/Compiler/src/methodtable.jl:70 [inlined] findall at ./../usr/share/julia/Compiler/src/methodtable.jl:70 [inlined] #findall#7 at ./../usr/share/julia/Compiler/src/methodtable.jl:111 findall at ./../usr/share/julia/Compiler/src/methodtable.jl:102 [inlined] find_union_split_method_matches at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:366 jfptr_find_union_split_method_matches_81358.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_invoke at /source/src/gf.c:4123 tojlinvoke88888.1 at /opt/julia/lib/julia/sys.so (unknown line) j_find_union_split_method_matches_82129.1 at /opt/julia/lib/julia/sys.so (unknown line) #find_method_matches#131 at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:346 [inlined] find_method_matches at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:342 [inlined] abstract_call_gf_by_type at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:120 abstract_call_known at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2796 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2902 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2895 [inlined] abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3055 abstract_eval_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3073 [inlined] abstract_eval_statement_expr at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3429 abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3823 [inlined] abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3780 [inlined] typeinf_local at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4329 jfptr_typeinf_local_88094.1 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 typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4486 typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1379 typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1562 [inlined] typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1571 jfptr_typeinf_ext_toplevel_85045.1 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] jl_type_infer at /source/src/gf.c:463 jl_compile_method_internal at /source/src/gf.c:3636 _jl_invoke at /source/src/gf.c:4108 [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/mcqES/src/sample.jl:188 [inlined] #27 at /home/pkgeval/.julia/packages/AbstractMCMC/mcqES/src/logging.jl:134 with_logstate at ./logging/logging.jl:540 unknown function (ip: 0x7b8d044cf4a1) 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/mcqES/src/logging.jl:157 unknown function (ip: 0x7b8d071f2ade) 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/mcqES/src/logging.jl:133 [inlined] #mcmcsample#25 at /home/pkgeval/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:168 mcmcsample at /home/pkgeval/.julia/packages/AbstractMCMC/mcqES/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: 0x7b8d044c8d23) 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/mcqES/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/mcqES/src/sample.jl:798 mcmcsample at /home/pkgeval/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:745 unknown function (ip: 0x7b8d044c2817) 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: 0x7b8d0448170c) 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: 0x7b8d04480f61) 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: 0x7b8d4ff289b2) 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_17214.1 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_57780.1 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_68679.1 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: 0x7b8d51915249) 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: 474858486 (Pool: 474853946; Big: 4540); GC: 160 PkgEval terminated after 2724.74s: test duration exceeded the time limit