Package evaluation to test DiffEqBayes on Julia 1.14.0-DEV.1299 (6d6224db99*) started at 2025-11-28T00:23:29.548 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 6.46s ################################################################################ # 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 v1.19.0 [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 v1.12.2 [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 v1.9.3 [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 v6.192.0 [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 v0.7.12 [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 v0.8.17 [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 v1.3.0 [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 v0.7.13 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 ⌅ [682c06a0] + JSON v0.21.4 [ae98c720] + Jieko v0.2.1 [98e50ef6] + JuliaFormatter v2.2.0 ⌅ [70703baa] + JuliaSyntax v0.4.10 [ccbc3e58] + JumpProcesses v9.19.2 [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 v0.9.10 [87fe0de2] + LineSearch v0.1.4 [d3d80556] + LineSearches v7.5.1 [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 v10.30.0 [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 v2.4.0 [6fe1bfb0] + OffsetArrays v1.17.0 [429524aa] + Optim v1.13.3 [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 v3.1.2 [27ebfcd6] + Primes v0.5.7 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [b3c3ace0] + RangeArrays v0.3.2 [c84ed2f1] + Ratios v0.4.5 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.39.0 [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 v2.127.0 [19f34311] + SciMLJacobianOperators v0.1.11 [a6db7da4] + SciMLLogging v1.5.0 [c0aeaf25] + SciMLOperators v1.13.0 [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 v1.1.3 [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 v0.34.8 [4c63d2b9] + StatsFuns v1.5.2 [7792a7ef] + StrideArraysCore v0.5.8 [5e0ebb24] + Strided v2.3.2 [4db3bf67] + StridedViews v0.4.1 [892a3eda] + StringManipulation v0.4.2 [09ab397b] + StructArrays v0.7.2 [2efcf032] + SymbolicIndexingInterface v0.3.46 ⌃ [19f23fe9] + SymbolicLimits v0.2.3 ⌅ [d1185830] + SymbolicUtils v3.32.0 ⌅ [0c5d862f] + Symbolics v6.57.0 [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 v0.8.18 [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 v1.13.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.17.0+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 v17.7.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 6.46s ################################################################################ # 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/i9lgt/src/julia-1.11/common.jl:75 │ [2] test_dir_has_project_file │ @ ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:52 [inlined] │ [3] maybe_gen_project_override! │ @ ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/common.jl:83 [inlined] │ [4] activate(pkg::String; allow_reresolve::Bool) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/src/julia-1.11/activate_set.jl:12 │ [5] activate(pkg::String) │ @ TestEnv ~/.julia/packages/TestEnv/i9lgt/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... 3199.5 ms ✓ NamedArrays 1509.5 ms ✓ LogDensityProblemsAD → LogDensityProblemsADDifferentiationInterfaceExt 3454.7 ms ✓ RecursiveArrayTools 47211.0 ms ✓ SymbolicUtils 12357.5 ms ✓ DynamicHMC 10607.2 ms ✓ StanBase 7429.5 ms ✓ Latexify → DataFramesExt 4222.2 ms ✓ AbstractMCMC 1914.6 ms ✓ FastPower → FastPowerForwardDiffExt 2788.2 ms ✓ LogDensityProblemsAD → LogDensityProblemsADForwardDiffExt 3643.6 ms ✓ TransformVariables 4659.7 ms ✓ Distributions → DistributionsDensityInterfaceExt 4328.4 ms ✓ Distributions → DistributionsChainRulesCoreExt 6265.1 ms ✓ MCMCDiagnosticTools 7280.6 ms ✓ Optim 2235.2 ms ✓ RecursiveArrayTools → RecursiveArrayToolsSparseArraysExt 1371.0 ms ✓ RecursiveArrayTools → RecursiveArrayToolsTablesExt 2360.1 ms ✓ RecursiveArrayTools → RecursiveArrayToolsFastBroadcastExt 2047.9 ms ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt 3503.4 ms ✓ RecursiveArrayTools → RecursiveArrayToolsStructArraysExt 25426.3 ms ✓ SciMLBase 10153.1 ms ✓ SymbolicLimits ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 12429.5 ms ✓ StanSample 8745.9 ms ✓ AdvancedHMC 5296.6 ms ✓ SSMProblems 5995.8 ms ✓ AdvancedMH 5967.3 ms ✓ EllipticalSliceSampling 4030.2 ms ✓ AbstractPPL 2052.4 ms ✓ TransformVariables → AccessorsExt 2174.8 ms ✓ TransformVariables → ChangesOfVariablesExt 2215.7 ms ✓ TransformVariables → InverseFunctionsExt 2306.6 ms ✓ TransformedLogDensities 4943.0 ms ✓ KernelDensity 4999.4 ms ✓ AdvancedVI 8605.0 ms ✓ Bijectors 9299.0 ms ✓ DistributionsAD 3415.6 ms ✓ LabelledArrays 3201.6 ms ✓ SciMLBase → SciMLBaseChainRulesCoreExt 3815.2 ms ✓ SciMLBase → SciMLBaseForwardDiffExt 3054.5 ms ✓ SciMLBase → SciMLBaseDifferentiationInterfaceExt 5746.8 ms ✓ SciMLBase → SciMLBaseDistributionsExt 4827.4 ms ✓ SciMLBase → SciMLBaseMLStyleExt 3006.0 ms ✓ SCCNonlinearSolve 5794.0 ms ✓ DiffEqBase 3411.4 ms ✓ AdvancedHMC → AdvancedHMCADTypesExt 4217.9 ms ✓ AdvancedPS 4125.3 ms ✓ AdvancedMH → AdvancedMHStructArraysExt 5334.2 ms ✓ AdvancedMH → AdvancedMHForwardDiffExt 10768.1 ms ✓ MCMCChains 4940.9 ms ✓ Bijectors → BijectorsEnzymeCoreExt 4144.6 ms ✓ Bijectors → BijectorsForwardDiffExt 18781.4 ms ✓ DynamicPPL 3864.6 ms ✓ AdvancedVI → AdvancedVIBijectorsExt 3877.4 ms ✓ DistributionsAD → DistributionsADForwardDiffExt 4528.0 ms ✓ Bijectors → BijectorsDistributionsADExt 7089.3 ms ✓ SymbolicUtils → SymbolicUtilsLabelledArraysExt 6839.8 ms ✓ OptimizationBase 8579.8 ms ✓ SciMLJacobianOperators 63327.5 ms ✓ Symbolics 6394.7 ms ✓ DiffEqBase → DiffEqBaseSparseArraysExt 5374.7 ms ✓ DiffEqBase → DiffEqBaseUnitfulExt 4128.3 ms ✓ DiffEqBase → DiffEqBaseChainRulesCoreExt 4086.9 ms ✓ DiffEqBase → DiffEqBaseForwardDiffExt 9596.8 ms ✓ DiffEqCallbacks 9716.1 ms ✓ OrdinaryDiffEqCore 5207.1 ms ✓ AdvancedPS → AdvancedPSLibtaskExt 11377.4 ms ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt 8087.1 ms ✓ AdvancedMH → AdvancedMHMCMCChainsExt 6191.4 ms ✓ DynamicPPL → DynamicPPLChainRulesCoreExt 9483.2 ms ✓ DynamicPPL → DynamicPPLMCMCChainsExt 6034.0 ms ✓ DynamicPPL → DynamicPPLForwardDiffExt 5671.1 ms ✓ DynamicPPL → DynamicPPLEnzymeCoreExt 5713.6 ms ✓ Optimization 10377.9 ms ✓ LineSearch 17076.0 ms ✓ NonlinearSolveBase 13233.7 ms ✓ Symbolics → SymbolicsForwardDiffExt 13230.9 ms ✓ DifferentiationInterface → DifferentiationInterfaceSymbolicsExt 9340.3 ms ✓ DiffEqNoiseProcess 3598.1 ms ✓ DiffEqCallbacks → DiffEqCallbacksFunctorsExt 7940.1 ms ✓ JumpProcesses 3902.0 ms ✓ OrdinaryDiffEqCore → OrdinaryDiffEqCoreEnzymeCoreExt 30242.8 ms ✓ OptimizationOptimJL 3942.5 ms ✓ LineSearch → LineSearchLineSearchesExt 3945.0 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseMatrixColoringsExt 3714.1 ms ✓ NonlinearSolveBase → NonlinearSolveBaseSparseArraysExt 3357.9 ms ✓ NonlinearSolveBase → NonlinearSolveBaseChainRulesCoreExt 3123.7 ms ✓ NonlinearSolveBase → NonlinearSolveBaseLineSearchExt 4211.7 ms ✓ NonlinearSolveBase → NonlinearSolveBaseForwardDiffExt 7931.6 ms ✓ BracketingNonlinearSolve 11724.8 ms ✓ Symbolics → SymbolicsPreallocationToolsExt 16869.1 ms ✓ Turing 3752.4 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveForwardDiffExt 15659.6 ms ✓ Turing → TuringOptimExt 18668.5 ms ✓ Turing → TuringDynamicHMCExt 3697.4 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveChainRulesCoreExt 17816.4 ms ✓ SimpleNonlinearSolve 4165.7 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveChainRulesCoreExt 5487.5 ms ✓ ImplicitDiscreteSolve 319022.8 ms ✓ ModelingToolkit 44475.9 ms ✓ ModelingToolkit → MTKLabelledArraysExt 49481.7 ms ✓ OptimizationBase → OptimizationMTKExt ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 97350.7 ms ✓ DiffEqBayes 102 dependencies successfully precompiled in 1286 seconds. 374 already precompiled. 2 dependencies had output during precompilation: ┌ DiffEqBayes │ ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. │ └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 └ ┌ StanSample │ ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. │ └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 └ Precompilation completed after 1255.79s ################################################################################ # Testing # Testing DiffEqBayes Status `/tmp/jl_bzNN7R/Project.toml` [2b5f629d] DiffEqBase v6.192.0 [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 v1.3.0 [2ee39098] LabelledArrays v1.16.1 [996a588d] LogDensityProblemsAD v1.13.1 [1914dd2f] MacroTools v0.5.16 [e1d29d7a] Missings v1.2.0 [961ee093] ModelingToolkit v10.30.0 [429524aa] Optim v1.13.3 [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 v0.34.8 [9672c7b4] SteadyStateDiffEq v2.8.0 [09ab397b] StructArrays v0.7.2 [84d833dd] TransformVariables v0.8.18 [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_bzNN7R/Manifest.toml` [47edcb42] ADTypes v1.19.0 [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 v1.12.2 [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 v1.9.3 [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] 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[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 v1.13.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.17.0+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 v17.7.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/YHUaX/src/utils.jl:121 ┌ Info: found initial stepsize └ ϵ = 0.2 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ 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/TZ9Rx/src/integrator_interface.jl:626 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.34 │ estimated_seconds_left = 25.0 └ 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/TZ9Rx/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 = 0.035 │ estimated_seconds_left = 0.84 └ ϵ = 0.000335 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00023145794374257147, 0.1117333104029195, 0.2620360502771513] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.028 │ estimated_seconds_left = 1.4 └ ϵ = 0.000193 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00032536497017554767, 0.3094539441136078, 0.3068847977280999] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0001 │ estimated_seconds_left = 0.01 └ ϵ = 0.792 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00020987384836435515, 0.24693509806046138, 0.21464705664475536] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 9.3e-5 │ estimated_seconds_left = 0.019 └ ϵ = 0.532 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00032 │ estimated_seconds_left = 0.031 └ ϵ = 0.646 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.000239548998134406, 0.26250240686385296, 0.21732388439594946] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 8.3e-5 │ estimated_seconds_left = 0.033 └ ϵ = 0.787 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00033 │ estimated_seconds_left = 0.099 └ ϵ = 0.488 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00026 │ estimated_seconds_left = 0.052 └ ϵ = 1.02 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00025 │ estimated_seconds_left = 0.025 └ ϵ = 1.25 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00021037510736482892, 0.2689458830814071, 0.25375825108563427] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00022 │ estimated_seconds_left = 0.011 └ ϵ = 0.817 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00023 └ estimated_seconds_left = 0.23 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00089 └ estimated_seconds_left = 0.8 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0003 └ estimated_seconds_left = 0.24 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00032 └ estimated_seconds_left = 0.23 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00029 └ estimated_seconds_left = 0.17 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00032 └ estimated_seconds_left = 0.16 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00065 └ estimated_seconds_left = 0.26 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00034 └ estimated_seconds_left = 0.1 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00034 └ estimated_seconds_left = 0.068 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00031 └ estimated_seconds_left = 0.031 ┌ 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/TZ9Rx/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/TZ9Rx/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 = 9.7e-5 │ estimated_seconds_left = 0.0072 └ ϵ = 0.0125 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.01 │ estimated_seconds_left = 0.24 └ ϵ = 0.000348 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0019487581489526313, 0.004963702380330445, 0.0006673992939845022, 0.07246683890769881, 0.1293746644053327] ┌ 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 = 0.000228 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.002387271832151819, 0.0047965010827092855, 0.0008104854063644533, 0.24467336553012586, 0.2918901578795647] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00099 │ estimated_seconds_left = 0.098 └ ϵ = 0.166 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.001887791985851973, 0.004001016310458189, 0.0006111487968542527, 0.26668893292522505, 0.26478609555829935] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00044 │ estimated_seconds_left = 0.088 └ ϵ = 0.181 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0013 │ estimated_seconds_left = 0.13 └ ϵ = 0.406 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.001881656097780044, 0.004297943621251776, 0.0006973547816841035, 0.26176045005671245, 0.20998429653364128] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00047 │ estimated_seconds_left = 0.19 └ ϵ = 0.257 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0012 │ estimated_seconds_left = 0.37 └ ϵ = 0.224 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00095 │ estimated_seconds_left = 0.19 └ ϵ = 0.194 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0011 │ estimated_seconds_left = 0.11 └ ϵ = 0.179 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0019647654171270636, 0.0039999020391005636, 0.000662506099679141, 0.23553278640300743, 0.24275281290982673] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00057 │ estimated_seconds_left = 0.028 └ ϵ = 0.258 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00046 └ estimated_seconds_left = 0.46 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0011 └ estimated_seconds_left = 0.96 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0011 └ estimated_seconds_left = 0.9 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.001 └ estimated_seconds_left = 0.73 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0011 └ estimated_seconds_left = 0.67 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0012 └ estimated_seconds_left = 0.59 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.001 └ estimated_seconds_left = 0.4 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00095 └ estimated_seconds_left = 0.28 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.0012 └ estimated_seconds_left = 0.23 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00098 └ estimated_seconds_left = 0.097 ┌ Info: found initial stepsize └ ϵ = 0.2 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00026 │ estimated_seconds_left = 0.019 └ 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/TZ9Rx/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 = 0.0024 └ ϵ = 0.011 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.006723481737897181, 0.5864350420105396] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.014 │ estimated_seconds_left = 0.69 └ ϵ = 0.00202 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0005560503445806474, 0.6728868651157123] ┌ 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 = 0.0202 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00015852992848646634, 0.27252270143265883] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00042 │ estimated_seconds_left = 0.083 └ ϵ = 0.224 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00024 │ estimated_seconds_left = 0.023 └ ϵ = 0.348 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00015204318562199443, 0.24554861752122198] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 9.4e-5 │ estimated_seconds_left = 0.037 └ ϵ = 0.838 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00027 │ estimated_seconds_left = 0.081 └ ϵ = 0.56 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00023 │ estimated_seconds_left = 0.045 └ ϵ = 1.06 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00022 │ estimated_seconds_left = 0.022 └ ϵ = 1.32 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00017213756040001428, 0.2456839631129831] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00022 │ estimated_seconds_left = 0.011 └ ϵ = 0.888 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00018 └ estimated_seconds_left = 0.18 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00031 └ estimated_seconds_left = 0.28 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00028 └ estimated_seconds_left = 0.22 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0003 └ estimated_seconds_left = 0.21 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0003 └ estimated_seconds_left = 0.18 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00031 └ estimated_seconds_left = 0.15 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00028 └ estimated_seconds_left = 0.11 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00032 └ estimated_seconds_left = 0.095 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.0011 └ estimated_seconds_left = 0.23 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00025 └ estimated_seconds_left = 0.025 ┌ 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/TZ9Rx/src/integrator_interface.jl:671 ┌ Warning: At t=2.411437163895671e-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/TZ9Rx/src/integrator_interface.jl:671 ┌ 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/TZ9Rx/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/TZ9Rx/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/TZ9Rx/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 = 4.4e-5 │ estimated_seconds_left = 0.0033 └ ϵ = 0.00156 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0061 │ estimated_seconds_left = 0.15 └ ϵ = 0.00067 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008477092697345469, 0.0004816475024913622, 0.43613752177026094] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.028 │ estimated_seconds_left = 1.4 └ ϵ = 0.000353 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0007707253995642936, 0.00027602941768590264, 0.28752981630287716] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00048 │ estimated_seconds_left = 0.047 └ ϵ = 0.253 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0009337982030495527, 0.0002850607467076588, 0.33402852705297714] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00045 │ estimated_seconds_left = 0.09 └ ϵ = 0.457 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00055 │ estimated_seconds_left = 0.055 └ ϵ = 0.412 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008332002779564743, 0.0003129930474258586, 0.3208618841116717] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00024 │ estimated_seconds_left = 0.097 └ ϵ = 0.389 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00096 │ estimated_seconds_left = 0.29 └ ϵ = 0.308 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00046 │ estimated_seconds_left = 0.092 └ ϵ = 0.513 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00039 │ estimated_seconds_left = 0.038 └ ϵ = 0.702 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0007914209266700164, 0.0002752789775559238, 0.2704513787410975] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00031 │ estimated_seconds_left = 0.015 └ ϵ = 0.416 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00041 └ estimated_seconds_left = 0.41 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00039 └ estimated_seconds_left = 0.35 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00037 └ estimated_seconds_left = 0.3 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00038 └ estimated_seconds_left = 0.27 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00034 └ estimated_seconds_left = 0.2 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00037 └ estimated_seconds_left = 0.18 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00033 └ estimated_seconds_left = 0.13 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00031 └ estimated_seconds_left = 0.094 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00026 └ estimated_seconds_left = 0.052 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00027 └ estimated_seconds_left = 0.026 ┌ 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/YHUaX/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/TZ9Rx/src/integrator_interface.jl:671 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.017 │ estimated_seconds_left = 1.3 └ 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/TZ9Rx/src/integrator_interface.jl:671 ┌ 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/TZ9Rx/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 = 0.00013 │ estimated_seconds_left = 0.0032 └ ϵ = 0.000527 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0011298710039652812, 0.0030645227892252716, 0.0020560840454412663, 0.001835607855721714, 0.09185608619641054, 0.2201494759949006] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.031 │ estimated_seconds_left = 1.5 └ ϵ = 0.000171 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0014564037095377105, 0.0021572396087147947, 0.0019060764792995018, 0.002535684886641131, 0.2726621033440069, 0.22394118587033168] ┌ 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 = 0.057 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.001157941307707583, 0.001628636466374464, 0.0017516911744836388, 0.0019917909082728725, 0.29855080272641277, 0.2663279677246879] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00051 │ estimated_seconds_left = 0.1 └ ϵ = 0.115 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0036 │ estimated_seconds_left = 0.35 └ ϵ = 0.224 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0014001006877064537, 0.002160671202488829, 0.0019849439677524536, 0.0024293188219321016, 0.28301726284221396, 0.30498210963478617] ┌ 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 = 0.145 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.009 │ estimated_seconds_left = 2.7 └ ϵ = 0.14 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0018 │ estimated_seconds_left = 0.36 └ ϵ = 0.164 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0016 │ estimated_seconds_left = 0.15 └ ϵ = 0.144 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0014654776095357582, 0.0019262604383107835, 0.0019352354872354044, 0.0025820296173299294, 0.2805357409500916, 0.2888248416672933] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00078 │ estimated_seconds_left = 0.038 └ ϵ = 0.137 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00046 └ estimated_seconds_left = 0.46 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0024 └ estimated_seconds_left = 2.2 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0021 └ estimated_seconds_left = 1.7 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0023 └ estimated_seconds_left = 1.6 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0023 └ estimated_seconds_left = 1.4 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0023 └ estimated_seconds_left = 1.1 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.0021 └ estimated_seconds_left = 0.85 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0025 └ estimated_seconds_left = 0.74 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.0023 └ estimated_seconds_left = 0.46 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.0023 └ estimated_seconds_left = 0.23 Test Summary: | Pass Broken Total Time DynamicHMC | 8 2 10 20m07.3s 1208.516801 seconds (246.38 M allocations: 15.180 GiB, 0.71% gc time, 18.03% 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/YHUaX/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 ┌ Info: Found initial step size └ ϵ = 0.0125 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 = 0.003125 ┌ Info: Found initial step size └ ϵ = 0.00625 ====================================================================================== 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 421 running 1 of 1 signal (10): User defined signal 1 jl_egal_ at /source/src/julia.h:1793 [inlined] literal_val_id at /source/src/ircode.c:144 [inlined] jl_encode_as_indexed_root at /source/src/ircode.c:176 jl_encode_value_ at /source/src/ircode.c:546 jl_encode_value_ at /source/src/ircode.c:324 [inlined] jl_encode_value_ at /source/src/ircode.c:471 jl_encode_value_ at /source/src/ircode.c:1067 [inlined] ijl_compress_ir at /source/src/ircode.c:1069 maybe_compress_codeinfo at ./../usr/share/julia/Compiler/src/typeinfer.jl:507 [inlined] finish! at ./../usr/share/julia/Compiler/src/typeinfer.jl:165 finish_nocycle at ./../usr/share/julia/Compiler/src/typeinfer.jl:285 jfptr_finish_nocycle_86957.1 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:4508 typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1527 typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1704 [inlined] typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1713 jfptr_typeinf_ext_toplevel_87872.1 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 jl_apply at /source/src/julia.h:2284 [inlined] jl_f__apply_iterate at /source/src/builtins.c:876 chainsstack at /home/pkgeval/.julia/packages/MCMCChains/KEEKP/src/chains.jl:752 unknown function (ip: 0x7b96090e4272) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #mcmcsample#33 at /home/pkgeval/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:597 mcmcsample at /home/pkgeval/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:412 unknown function (ip: 0x7b9608f65287) 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: 0x7b9608f6039c) 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: 0x7b9608f5fbb9) 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:3003 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3063 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 unknown function (ip: 0x7b964ed288a2) 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_8349.1 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:730 [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:3003 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3063 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_54631.1 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_65414.1 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: 0x7b96506d5249) 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) #= 533.6 ms =# precompile(Tuple{typeof(AbstractMCMC.chainscat), MCMCChains.Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, Base.StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Array{Symbol, 1}}, AxisArrays.Axis{:chain, Base.UnitRange{Int64}}}}, Base.Missing, NamedTuple{(:parameters, :internals), Tuple{Array{Symbol, 1}, Array{Symbol, 1}}}, NamedTuple{(:varname_to_symbol, :start_time, :stop_time), Tuple{OrderedCollections.OrderedDict{AbstractPPL.VarName{sym, T} where T<:Union{typeof(Base.identity), Accessors.IndexLens{I} where I<:Tuple, Accessors.PropertyLens{fieldname} where fieldname, Base.ComposedFunction{O, I} where I where O} where sym, Symbol}, Float64, Float64}}}, MCMCChains.Chains{Float64, AxisArrays.AxisArray{Float64, 3, Array{Float64, 3}, Tuple{AxisArrays.Axis{:iter, Base.StepRange{Int64, Int64}}, AxisArrays.Axis{:var, Array{Symbol, 1}}, AxisArrays.Axis{:chain, Base.UnitRange{Int64}}}}, Base.Missing, NamedTuple{(:parameters, :internals), Tuple{Array{Symbol, 1}, Array{Symbol, 1}}}, NamedTuple{(:varname_to_symbol, :start_time, :stop_time), Tuple{OrderedCollections.OrderedDict{AbstractPPL.VarName{sym, T} where T<:Union{typeof(Base.identity), Accessors.IndexLens{I} where I<:Tuple, Accessors.PropertyLens{fieldname} where fieldname, Base.ComposedFunction{O, I} where I where O} where sym, Symbol}, Float64, Float64}}}}) #= 30.7 ms =# precompile(Tuple{typeof(Base.cat_size_shape), Tuple{Bool, Bool, Bool}, Array{Float64, 3}, Array{Float64, 3}}) #= 41.4 ms =# precompile(Tuple{typeof(Base.cat_similar), Array{Float64, 3}, Type{Float64}, Tuple{Int64, Int64, Int64}}) #= 44.2 ms =# precompile(Tuple{typeof(Base.__cat), Array{Float64, 3}, Tuple{Int64, Int64, Int64}, Tuple{Bool, Bool, Bool}, Array{Float64, 3}, Vararg{Array{Float64, 3}}}) ============================================================== 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_38735.1 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:1272 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x00007c44b04f12d0 Total snapshots: 595. Utilization: 0% ╎595 @Base/task.jl:1168 wait_forever() 594╎ 595 @Base/task.jl:1246 wait() [421] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/DiffEqBayes/CpDUh/test/turing.jl:44 _ZN12_GLOBAL__N_18DSEState15getDomMemoryDefEPN4llvm9MemoryDefEPNS1_12MemoryAccessERKNS1_14MemoryLocationEPKNS1_5ValueERjSC_bSC_b at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN12_GLOBAL__N_1L19eliminateDeadStoresERN4llvm8FunctionERNS0_9AAResultsERNS0_9MemorySSAERNS0_13DominatorTreeERNS0_17PostDominatorTreeERKNS0_17TargetLibraryInfoERKNS0_8LoopInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm7DSEPass3runERNS_8FunctionERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) PkgEval terminated after 2728.48s: test duration exceeded the time limit