Package evaluation to test DiffEqBayes on Julia 1.14.0-DEV.1284 (37b9484954*) started at 2025-11-24T02:09:44.209 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.74s ################################################################################ # 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 v1.12.1 [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 v9.19.1 [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 v0.9.10 [87fe0de2] + LineSearch v0.1.4 [d3d80556] + LineSearches v7.4.1 [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 v10.29.0 [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 v1.13.2 [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 v3.1.2 [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 v0.8.17 [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 v8.17.0+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 8.55s ################################################################################ # 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... 9807.3 ms ✓ BangBang → BangBangDataFramesExt 11819.4 ms ✓ DynamicHMC 11171.9 ms ✓ StanBase 8081.5 ms ✓ Transducers → TransducersDataFramesExt 4643.6 ms ✓ Transducers → TransducersBlockArraysExt 4395.9 ms ✓ AbstractMCMC 6053.8 ms ✓ OptimizationBase 3646.8 ms ✓ TransformVariables 4499.3 ms ✓ NonlinearSolveBase → NonlinearSolveBaseForwardDiffExt 4634.7 ms ✓ AdvancedVI 8314.0 ms ✓ Bijectors 8325.6 ms ✓ DistributionsAD 3162.1 ms ✓ LabelledArrays 3584.7 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveForwardDiffExt 58178.5 ms ✓ Symbolics ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 13411.7 ms ✓ StanSample 10314.1 ms ✓ MCMCChains 5741.9 ms ✓ AdvancedHMC 4512.2 ms ✓ SSMProblems 4934.1 ms ✓ AdvancedMH 4392.7 ms ✓ EllipticalSliceSampling 3811.8 ms ✓ AbstractPPL 5688.6 ms ✓ Optimization 2358.9 ms ✓ TransformVariables → ChangesOfVariablesExt 2133.8 ms ✓ TransformVariables → InverseFunctionsExt 2348.1 ms ✓ TransformedLogDensities 4863.8 ms ✓ Bijectors → BijectorsEnzymeCoreExt 4016.3 ms ✓ Bijectors → BijectorsForwardDiffExt 3804.2 ms ✓ AdvancedVI → AdvancedVIBijectorsExt 4091.7 ms ✓ DistributionsAD → DistributionsADForwardDiffExt 3412.3 ms ✓ Bijectors → BijectorsDistributionsADExt 6487.4 ms ✓ SymbolicUtils → SymbolicUtilsLabelledArraysExt 4216.1 ms ✓ BracketingNonlinearSolve → BracketingNonlinearSolveChainRulesCoreExt 18257.1 ms ✓ SimpleNonlinearSolve 13026.1 ms ✓ Symbolics → SymbolicsForwardDiffExt 11695.0 ms ✓ DifferentiationInterface → DifferentiationInterfaceSymbolicsExt 3698.7 ms ✓ AdvancedHMC → AdvancedHMCADTypesExt 7962.6 ms ✓ AdvancedHMC → AdvancedHMCMCMCChainsExt 5153.5 ms ✓ AdvancedPS 7481.1 ms ✓ AdvancedMH → AdvancedMHMCMCChainsExt 4154.3 ms ✓ AdvancedMH → AdvancedMHStructArraysExt 4789.8 ms ✓ AdvancedMH → AdvancedMHForwardDiffExt 18331.2 ms ✓ DynamicPPL 29352.6 ms ✓ OptimizationOptimJL 4452.6 ms ✓ SimpleNonlinearSolve → SimpleNonlinearSolveChainRulesCoreExt 6425.9 ms ✓ ImplicitDiscreteSolve 12754.0 ms ✓ Symbolics → SymbolicsPreallocationToolsExt 4624.4 ms ✓ AdvancedPS → AdvancedPSLibtaskExt 5606.5 ms ✓ DynamicPPL → DynamicPPLChainRulesCoreExt 9287.0 ms ✓ DynamicPPL → DynamicPPLMCMCChainsExt 5702.0 ms ✓ DynamicPPL → DynamicPPLForwardDiffExt 5138.6 ms ✓ DynamicPPL → DynamicPPLEnzymeCoreExt 333245.7 ms ✓ ModelingToolkit 17283.2 ms ✓ Turing 48529.7 ms ✓ ModelingToolkit → MTKLabelledArraysExt 51803.9 ms ✓ OptimizationBase → OptimizationMTKExt 14398.3 ms ✓ Turing → TuringOptimExt 15176.0 ms ✓ Turing → TuringDynamicHMCExt ERROR: LoadError: Precompiled image Base.PkgId(Base.UUID("fce5fe82-541a-59a6-adf8-730c64b5f9a0"), "Turing") not available with flags CacheFlags(; use_pkgimages=false, debug_level=1, check_bounds=1, inline=true, opt_level=0) Stacktrace:  [1] error(s::String)  @ Base ./error.jl:44  [2] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2726  [3] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2585  [4] macro expansion  @ ./loading.jl:2513 [inlined]  [5] macro expansion  @ ./lock.jl:376 [inlined]  [6] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2477  [7] require  @ ./loading.jl:2453 [inlined]  [8] eval_import_path  @ ./module.jl:36 [inlined]  [9] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [10] _eval_using  @ ./module.jl:137 [inlined]  [11] _eval_using(to::Module, path::Expr)  @ Base ./module.jl:137  [12] top-level scope  @ ~/.julia/packages/DiffEqBayes/CpDUh/src/DiffEqBayes.jl:6  [13] include(mod::Module, _path::String)  @ Base ./Base.jl:309  [14] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3157  [15] top-level scope  @ stdin:5  [16] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [17] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3003  [18] include_string  @ ./loading.jl:3013 [inlined]  [19] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:342  [20] _start()  @ Base ./client.jl:577 in expression starting at /home/pkgeval/.julia/packages/DiffEqBayes/CpDUh/src/DiffEqBayes.jl:1 in expression starting at stdin:5 1 dependency 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 └ Precompilation completed after 921.54s ################################################################################ # Testing # Testing DiffEqBayes Status `/tmp/jl_y1N77X/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 v10.29.0 [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 v0.34.8 [9672c7b4] SteadyStateDiffEq v2.8.0 [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_y1N77X/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 v1.12.1 [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 [d4d017d3] ExponentialUtilities v1.28.0 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [7a1cc6ca] FFTW v1.10.0 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [442a2c76] FastGaussQuadrature v1.1.0 [a4df4552] FastPower v1.2.0 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.15.0 [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 [c145ed77] GenericSchur v0.5.6 [c27321d9] Glob v1.3.1 [86223c79] Graphs v1.13.1 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [3263718b] ImplicitDiscreteSolve v1.2.0 [d25df0c9] Inflate v0.1.5 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.5 [18e54dd8] IntegerMathUtils v0.1.3 [a98d9a8b] Interpolations v0.16.2 [8197267c] IntervalSets v0.7.13 [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 v9.19.1 [5ab0869b] KernelDensity v0.6.10 [ba0b0d4f] Krylov v0.10.2 [5be7bae1] LBFGSB v0.4.1 [b964fa9f] LaTeXStrings v1.4.0 [2ee39098] LabelledArrays v1.16.1 [23fbe1c1] Latexify v0.16.10 [10f19ff3] LayoutPointers v0.1.17 [5078a376] LazyArrays v2.9.1 [1fad7336] LazyStack v0.1.3 [1d6d02ad] LeftChildRightSiblingTrees v0.2.1 [6f1fad26] Libtask v0.9.10 [87fe0de2] LineSearch v0.1.4 [d3d80556] LineSearches v7.4.1 [7ed4a6bd] LinearSolve v3.47.0 [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 v10.29.0 [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 [8913a72c] NonlinearSolve v4.12.0 [be0214bd] NonlinearSolveBase v2.4.0 [5959db7a] NonlinearSolveFirstOrder v1.10.0 [9a2c21bd] NonlinearSolveQuasiNewton v1.11.0 [26075421] NonlinearSolveSpectralMethods v1.6.0 [6fe1bfb0] OffsetArrays v1.17.0 [429524aa] Optim v1.13.2 [3bd65402] Optimisers v0.4.6 ⌅ [7f7a1694] Optimization v4.8.0 ⌅ [bca83a33] OptimizationBase v2.14.0 ⌃ [36348300] OptimizationOptimJL v0.4.5 [bac558e1] OrderedCollections v1.8.1 [1dea7af3] OrdinaryDiffEq v6.103.0 [89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.5.0 [6ad6398a] OrdinaryDiffEqBDF v1.10.1 [bbf590c4] OrdinaryDiffEqCore v1.36.0 [50262376] OrdinaryDiffEqDefault v1.8.0 [4302a76b] OrdinaryDiffEqDifferentiation v1.16.1 [9286f039] OrdinaryDiffEqExplicitRK v1.4.0 [e0540318] OrdinaryDiffEqExponentialRK v1.8.0 [becaefa8] OrdinaryDiffEqExtrapolation v1.9.0 [5960d6e9] OrdinaryDiffEqFIRK v1.16.0 [101fe9f7] OrdinaryDiffEqFeagin v1.4.0 [d3585ca7] OrdinaryDiffEqFunctionMap v1.5.0 [d28bc4f8] OrdinaryDiffEqHighOrderRK v1.5.0 [9f002381] OrdinaryDiffEqIMEXMultistep v1.7.0 [521117fe] OrdinaryDiffEqLinear v1.6.0 [1344f307] OrdinaryDiffEqLowOrderRK v1.6.0 [b0944070] OrdinaryDiffEqLowStorageRK v1.7.0 [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.15.0 [c9986a66] OrdinaryDiffEqNordsieck v1.4.0 [5dd0a6cf] OrdinaryDiffEqPDIRK v1.6.0 [5b33eab2] OrdinaryDiffEqPRK v1.4.0 [04162be5] OrdinaryDiffEqQPRK v1.4.0 [af6ede74] OrdinaryDiffEqRKN v1.5.0 [43230ef6] OrdinaryDiffEqRosenbrock v1.18.1 [2d112036] OrdinaryDiffEqSDIRK v1.7.0 [669c94d9] OrdinaryDiffEqSSPRK v1.7.0 [e3e12d00] OrdinaryDiffEqStabilizedIRK v1.6.0 [358294b1] OrdinaryDiffEqStabilizedRK v1.4.0 [fa646aed] OrdinaryDiffEqSymplecticRK v1.7.0 [b1df2697] OrdinaryDiffEqTsit5 v1.5.0 [79d7bb75] OrdinaryDiffEqVerner v1.6.0 [90014a1f] PDMats v0.11.36 [65ce6f38] PackageExtensionCompat v1.0.2 [65888b18] ParameterizedFunctions v5.19.0 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [e409e4f3] PoissonRandom v0.4.7 [f517fe37] Polyester v0.7.18 [1d0040c9] PolyesterWeave v0.2.2 [2dfb63ee] PooledArrays v1.4.3 [85a6dd25] PositiveFactorizations v0.2.4 [d236fae5] PreallocationTools v0.4.34 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.0 [08abe8d2] PrettyTables v3.1.2 [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 [1bc83da4] SafeTestsets v0.1.0 [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 [9672c7b4] SteadyStateDiffEq v2.8.0 [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 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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 v17.7.0+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 1 dependency had output during precompilation: ┌ DiffEqBayes │ [Output was shown above] └ ┌ 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/KTR1R/src/utils.jl:121 ┌ Info: found initial stepsize └ ϵ = 0.2 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 9.5e-5 │ estimated_seconds_left = 0.0071 └ 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 = 6.0e-5 │ estimated_seconds_left = 0.0015 └ ϵ = 0.000478 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.000249019419885261, 0.05203566777391046, 0.0735358643337508] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.016 │ estimated_seconds_left = 0.8 └ ϵ = 0.000183 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00022187047724138502, 0.22430012191813964, 0.21078418512361918] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00012 │ estimated_seconds_left = 0.012 └ ϵ = 0.709 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00018238179535436385, 0.23803602184079087, 0.23221494461304232] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00012 │ estimated_seconds_left = 0.024 └ ϵ = 0.84 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00018 │ estimated_seconds_left = 0.018 └ ϵ = 0.358 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0001774817958925421, 0.2341896706984174, 0.28104621751667586] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 2.4e-5 │ estimated_seconds_left = 0.0097 └ ϵ = 0.855 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00019 │ estimated_seconds_left = 0.056 └ ϵ = 0.54 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00015 │ estimated_seconds_left = 0.03 └ ϵ = 1.2 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00014 │ estimated_seconds_left = 0.014 └ ϵ = 0.727 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00018439385487134495, 0.25282617386639966, 0.27168984186141676] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 5.6e-5 │ estimated_seconds_left = 0.0028 └ ϵ = 0.857 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 9.4e-5 └ estimated_seconds_left = 0.094 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00048 └ estimated_seconds_left = 0.43 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00015 └ estimated_seconds_left = 0.12 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00014 └ estimated_seconds_left = 0.099 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00038 └ estimated_seconds_left = 0.23 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00014 └ estimated_seconds_left = 0.072 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00013 └ estimated_seconds_left = 0.054 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00016 └ estimated_seconds_left = 0.047 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00014 └ estimated_seconds_left = 0.028 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00014 └ estimated_seconds_left = 0.014 ┌ 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 = 8.4e-5 │ estimated_seconds_left = 0.0062 └ ϵ = 0.0125 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00014 │ estimated_seconds_left = 0.0033 └ ϵ = 0.000493 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0012941193438248911, 0.004465154517073589, 0.0005504550535956248, 0.07218859189914487, 0.08093038714952419] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.019 │ estimated_seconds_left = 0.93 └ ϵ = 0.000204 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0016671763222620274, 0.0037037491766926532, 0.0006687486357222148, 0.1868646983226206, 0.22788892835960525] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00029 │ estimated_seconds_left = 0.029 └ ϵ = 0.239 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0018628911807278116, 0.004330178511525581, 0.0006626347253973852, 0.2529218255568015, 0.2767960361543059] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00015 │ estimated_seconds_left = 0.03 └ ϵ = 0.246 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00077 │ estimated_seconds_left = 0.076 └ ϵ = 0.194 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0016932254696045707, 0.0037682489104260844, 0.00056246545314633, 0.2548456413586993, 0.27524724899272907] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00029 │ estimated_seconds_left = 0.11 └ ϵ = 0.236 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00062 │ estimated_seconds_left = 0.19 └ ϵ = 0.299 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00057 │ estimated_seconds_left = 0.11 └ ϵ = 0.133 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00067 │ estimated_seconds_left = 0.066 └ ϵ = 0.488 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0017683447884813378, 0.0038128363814359276, 0.0005986090287367821, 0.2619574079703408, 0.2802976129599995] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 6.9e-5 │ estimated_seconds_left = 0.0034 └ ϵ = 0.277 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00029 └ estimated_seconds_left = 0.29 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00069 └ estimated_seconds_left = 0.62 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00085 └ estimated_seconds_left = 0.68 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00067 └ estimated_seconds_left = 0.47 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00069 └ estimated_seconds_left = 0.41 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00082 └ estimated_seconds_left = 0.41 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00067 └ estimated_seconds_left = 0.27 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00072 └ estimated_seconds_left = 0.22 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00085 └ estimated_seconds_left = 0.17 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00068 └ estimated_seconds_left = 0.067 ┌ Info: found initial stepsize └ ϵ = 0.2 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 5.1e-5 │ estimated_seconds_left = 0.0037 └ 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 = 0.00027 │ estimated_seconds_left = 0.0064 └ ϵ = 0.023 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.02030863082241215, 0.17413434509765333] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0045 │ estimated_seconds_left = 0.22 └ ϵ = 0.0101 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.002418759352523743, 1.0422239228234609] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0003 │ estimated_seconds_left = 0.03 └ ϵ = 0.0185 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00023204221279069426, 0.24676460968360664] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0005 │ estimated_seconds_left = 0.1 └ ϵ = 0.088 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00018 │ estimated_seconds_left = 0.018 └ ϵ = 0.704 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00022676419411284606, 0.24695964850724683] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 5.9e-5 │ estimated_seconds_left = 0.023 └ ϵ = 0.901 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00015 │ estimated_seconds_left = 0.046 └ ϵ = 0.962 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00013 │ estimated_seconds_left = 0.026 └ ϵ = 0.837 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00011 │ estimated_seconds_left = 0.011 └ ϵ = 1.27 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00023714549453824954, 0.25638254733520005] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 6.0e-5 │ estimated_seconds_left = 0.0029 └ ϵ = 0.891 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 6.0e-5 └ estimated_seconds_left = 0.06 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00015 └ estimated_seconds_left = 0.13 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00015 └ estimated_seconds_left = 0.12 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00013 └ estimated_seconds_left = 0.094 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00016 └ estimated_seconds_left = 0.094 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00016 └ estimated_seconds_left = 0.079 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00015 └ estimated_seconds_left = 0.059 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00015 └ estimated_seconds_left = 0.044 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00015 └ estimated_seconds_left = 0.029 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00015 └ estimated_seconds_left = 0.015 ┌ 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=2.553311683078405e-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 = 2.8e-5 │ estimated_seconds_left = 0.002 └ ϵ = 0.00156 ┌ 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 = 0.0031 └ ϵ = 0.000548 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.001161092241150266, 0.00040550228104751666, 0.1493710495305473] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.018 │ estimated_seconds_left = 0.87 └ ϵ = 0.000439 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0010048065136656348, 0.0004002847707417133, 0.25685490594764476] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00013 │ estimated_seconds_left = 0.013 └ ϵ = 0.381 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0009076237737115111, 0.00036706190078274593, 0.2739366932679161] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 6.8e-5 │ estimated_seconds_left = 0.013 └ ϵ = 0.388 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00034 │ estimated_seconds_left = 0.034 └ ϵ = 0.437 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008927820387154063, 0.0003673045772645498, 0.27292438530857394] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00013 │ estimated_seconds_left = 0.051 └ ϵ = 0.477 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00029 │ estimated_seconds_left = 0.088 └ ϵ = 0.966 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00026 │ estimated_seconds_left = 0.051 └ ϵ = 0.23 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00022 │ estimated_seconds_left = 0.022 └ ϵ = 1.01 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0007818358410437133, 0.00028937668997599744, 0.2485927504294309] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00013 │ estimated_seconds_left = 0.0061 └ ϵ = 0.501 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00012 └ estimated_seconds_left = 0.12 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00025 └ estimated_seconds_left = 0.23 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00022 └ estimated_seconds_left = 0.17 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00025 └ estimated_seconds_left = 0.18 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00025 └ estimated_seconds_left = 0.15 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00024 └ estimated_seconds_left = 0.12 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00023 └ estimated_seconds_left = 0.091 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00025 └ estimated_seconds_left = 0.074 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00029 └ estimated_seconds_left = 0.058 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.0016 └ estimated_seconds_left = 0.16 ┌ 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/KTR1R/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 = 0.013 │ estimated_seconds_left = 0.98 └ 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 = 0.029 │ estimated_seconds_left = 0.7 └ ϵ = 0.000371 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.001687779650794157, 0.003026231278460523, 0.002189505812378958, 0.002850628112943049, 0.04306199030454203, 0.0681211457132601] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.033 │ estimated_seconds_left = 1.6 └ ϵ = 0.000109 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0007581670960551365, 0.0016316324699371405, 0.0011645060868497085, 0.0011695251264612655, 0.3311018440655101, 0.3147183366661195] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0063 │ estimated_seconds_left = 0.63 └ ϵ = 0.0211 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0013289038825372447, 0.0020206743183250617, 0.001972483961635943, 0.0020866543428219916, 0.3009038893441556, 0.324351014942983] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00078 │ estimated_seconds_left = 0.16 └ ϵ = 0.133 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0028 │ estimated_seconds_left = 0.28 └ ϵ = 0.114 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0012612322331702823, 0.0018593480158792086, 0.0018306976046791033, 0.0020420042982814304, 0.26918233225995597, 0.27825621356911745] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0015 │ estimated_seconds_left = 0.61 └ ϵ = 0.0923 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0024 │ estimated_seconds_left = 0.73 └ ϵ = 0.0372 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0021 │ estimated_seconds_left = 0.41 └ ϵ = 0.155 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0018 │ estimated_seconds_left = 0.18 └ ϵ = 0.119 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.001145294034652998, 0.0018336474608855726, 0.001663390897924808, 0.001870516875471529, 0.32837007423848613, 0.27888965062841586] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0004 │ estimated_seconds_left = 0.02 └ ϵ = 0.103 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0016 └ estimated_seconds_left = 1.6 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0022 └ estimated_seconds_left = 2.0 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0021 └ estimated_seconds_left = 1.7 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0022 └ estimated_seconds_left = 1.6 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0018 └ estimated_seconds_left = 1.1 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0026 └ estimated_seconds_left = 1.3 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.0022 └ estimated_seconds_left = 0.87 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0021 └ estimated_seconds_left = 0.63 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.0021 └ estimated_seconds_left = 0.42 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.002 └ estimated_seconds_left = 0.2 Test Summary: | Pass Broken Total Time DynamicHMC | 8 2 10 26m36.7s 1597.645563 seconds (249.75 M allocations: 15.817 GiB, 0.47% gc time, 8.56% compilation time: 14% of which was recompilation) One parameter case ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/KTR1R/src/utils.jl:121 ┌ Info: Found initial step size └ ϵ = 0.00625 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 = 0.00625 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 = 0.0125 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 249 running 1 of 1 signal (10): User defined signal 1 unknown function (ip: 0x7b8e2c581a4d) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 infer at /home/pkgeval/.julia/packages/DiffEqBayes/CpDUh/src/turing_inference.jl:66 _evaluate!! at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/model.jl:913 [inlined] evaluate_threadunsafe!! at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/model.jl:886 [inlined] evaluate!! at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/model.jl:834 [inlined] logdensity_at at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/logdensityfunction.jl:183 FixTail at /home/pkgeval/.julia/packages/DifferentiationInterface/4n6vR/src/utils/context.jl:172 [inlined] vector_mode_dual_eval! at /home/pkgeval/.julia/packages/ForwardDiff/kQBw9/src/apiutils.jl:24 [inlined] vector_mode_gradient! at /home/pkgeval/.julia/packages/ForwardDiff/kQBw9/src/gradient.jl:105 gradient! at /home/pkgeval/.julia/packages/ForwardDiff/kQBw9/src/gradient.jl:39 [inlined] value_and_gradient at /home/pkgeval/.julia/packages/DifferentiationInterface/4n6vR/ext/DifferentiationInterfaceForwardDiffExt/onearg.jl:419 unknown function (ip: 0x7b8e142016b7) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 logdensity_and_gradient at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/logdensityfunction.jl:234 #_#58 at ./operators.jl:1202 [inlined] Fix at ./operators.jl:1202 [inlined] ∂H∂θ at /home/pkgeval/.julia/packages/AdvancedHMC/kEVkt/src/hamiltonian.jl:46 unknown function (ip: 0x7b8e141fe61b) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #step#10 at /home/pkgeval/.julia/packages/AdvancedHMC/kEVkt/src/integrator.jl:244 step at /home/pkgeval/.julia/packages/AdvancedHMC/kEVkt/src/integrator.jl:216 [inlined] build_tree at /home/pkgeval/.julia/packages/AdvancedHMC/kEVkt/src/trajectory.jl:640 unknown function (ip: 0x7b8e14220855) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 build_tree at /home/pkgeval/.julia/packages/AdvancedHMC/kEVkt/src/trajectory.jl:655 unknown function (ip: 0x7b8e14220855) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 build_tree at /home/pkgeval/.julia/packages/AdvancedHMC/kEVkt/src/trajectory.jl:655 unknown function (ip: 0x7b8e14220855) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 build_tree at /home/pkgeval/.julia/packages/AdvancedHMC/kEVkt/src/trajectory.jl:655 build_tree at /home/pkgeval/.julia/packages/AdvancedHMC/kEVkt/src/trajectory.jl:650 build_tree at /home/pkgeval/.julia/packages/AdvancedHMC/kEVkt/src/trajectory.jl:650 unknown function (ip: 0x7b8e14220855) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 transition at /home/pkgeval/.julia/packages/AdvancedHMC/kEVkt/src/trajectory.jl:696 transition at /home/pkgeval/.julia/packages/AdvancedHMC/kEVkt/src/sampler.jl:57 [inlined] #step#31 at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:271 step at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:257 unknown function (ip: 0x7b8e142276f2) 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/sample.jl:0 [inlined] macro expansion at /home/pkgeval/.julia/packages/AbstractMCMC/mcqES/src/logging.jl:137 [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: 0x7b8e141de4d6) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #60 at /home/pkgeval/.julia/packages/AbstractMCMC/mcqES/src/sample.jl:572 unknown function (ip: 0x7b8e141ddebc) 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] 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 ============================================================== ┌ Info: Found initial step size └ ϵ = 0.018750000000000003 ====================================================================================== 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_33345.1 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 0x00007a0633048790 Total snapshots: 631. Utilization: 0% ╎631 @Base/task.jl:1168 wait_forever() 630╎ 631 @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_33345.1 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) Allocations: 26188689 (Pool: 26187944; Big: 745); GC: 23 [249] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/DiffEqBayes/CpDUh/test/turing.jl:44 egal_types at /source/src/builtins.c:182 ijl_types_equal at /source/src/subtype.c:2326 jl_specializations_get_linfo_ at /source/src/gf.c:236 #specialize_method#8 at ./runtime_internals.jl:1790 [inlined] specialize_method at ./runtime_internals.jl:1777 [inlined] typeinf_edge at ./../usr/share/julia/Compiler/src/typeinfer.jl:1109 abstract_call_method at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:725 infercalls at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:166 abstract_call_gf_by_type at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:328 abstract_call_known at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2796 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2904 infercalls at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:1845 abstract_apply at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:1865 abstract_call_known at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2648 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2904 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2897 [inlined] abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3057 abstract_eval_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3075 [inlined] abstract_eval_statement_expr at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3433 abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3832 [inlined] abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3789 [inlined] typeinf_local at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4338 jfptr_typeinf_local_88074.1 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:4495 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_88882.1 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 #solve_up#31 at /home/pkgeval/.julia/packages/DiffEqBase/6sydR/src/solve.jl:578 solve_up at /home/pkgeval/.julia/packages/DiffEqBase/6sydR/src/solve.jl:555 [inlined] #solve#30 at /home/pkgeval/.julia/packages/DiffEqBase/6sydR/src/solve.jl:545 solve at /home/pkgeval/.julia/packages/DiffEqBase/6sydR/src/solve.jl:535 unknown function (ip: 0x7b8df8d68d27) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 infer at /home/pkgeval/.julia/packages/DiffEqBayes/CpDUh/src/turing_inference.jl:55 _evaluate!! at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/model.jl:913 [inlined] evaluate_threadunsafe!! at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/model.jl:886 [inlined] evaluate!! at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/model.jl:834 [inlined] logdensity_at at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/logdensityfunction.jl:183 FixTail at /home/pkgeval/.julia/packages/DifferentiationInterface/4n6vR/src/utils/context.jl:172 [inlined] vector_mode_dual_eval! at /home/pkgeval/.julia/packages/ForwardDiff/kQBw9/src/apiutils.jl:24 [inlined] vector_mode_gradient! at /home/pkgeval/.julia/packages/ForwardDiff/kQBw9/src/gradient.jl:105 gradient! at /home/pkgeval/.julia/packages/ForwardDiff/kQBw9/src/gradient.jl:39 [inlined] value_and_gradient at /home/pkgeval/.julia/packages/DifferentiationInterface/4n6vR/ext/DifferentiationInterfaceForwardDiffExt/onearg.jl:419 unknown function (ip: 0x7b8df8d5aefe) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 logdensity_and_gradient at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/logdensityfunction.jl:234 #_#58 at ./operators.jl:1202 [inlined] Fix at ./operators.jl:1202 [inlined] ∂H∂θ at /home/pkgeval/.julia/packages/AdvancedHMC/kEVkt/src/hamiltonian.jl:46 phasepoint at /home/pkgeval/.julia/packages/AdvancedHMC/kEVkt/src/hamiltonian.jl:103 [inlined] phasepoint at /home/pkgeval/.julia/packages/AdvancedHMC/kEVkt/src/hamiltonian.jl:185 unknown function (ip: 0x7b8df8d47c79) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #find_initial_params#29 at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:156 find_initial_params at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:145 unknown function (ip: 0x7b8df8d45617) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #initialstep#30 at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:210 initialstep at /home/pkgeval/.julia/packages/Turing/EEhvQ/src/mcmc/hmc.jl:175 unknown function (ip: 0x7b8df8d30d92) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 #step#59 at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:125 step at /home/pkgeval/.julia/packages/DynamicPPL/nxcz4/src/sampler.jl:108 [inlined] macro expansion at /home/pkgeval/.julia/packages/AbstractMCMC/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: 0x7b8e2c512871) 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: 0x7b8e2c5101ee) 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: 0x7b8e2c508863) 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: 0x7b8e1444f577) 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: 0x7b8e14417cec) 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: 0x7b8df8d11739) 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: 0x7b8e40acaaf2) 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_15833.1 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_42396.1 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_73133.1 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: 0x7b8e42155249) 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: 412761785 (Pool: 412758056; Big: 3729); GC: 212 PkgEval terminated after 2722.81s: test duration exceeded the time limit