Package evaluation to test DiffEqBayes on Julia 1.14.0-DEV.2291 (26145852c4*) started at 2026-06-05T05:15:19.777 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 16.05s ################################################################################ # Installation # Installing DiffEqBayes... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [ebbdde9d] + DiffEqBayes v3.13.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.22.0 [621f4979] + AbstractFFTs v1.5.0 [80f14c24] + AbstractMCMC v5.15.1 ⌅ [7a57a42e] + AbstractPPL v0.13.6 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.44 [79e6a3ab] + Adapt v4.6.0 [0bf59076] + AdvancedHMC v0.8.5 [5b7e9947] + AdvancedMH v0.8.10 [576499cb] + AdvancedPS v0.7.2 [b5ca4192] + AdvancedVI v0.6.2 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [ec485272] + ArnoldiMethod v0.4.0 [4fba245c] + ArrayInterface v7.25.0 [4c555306] + ArrayLayouts v1.12.2 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.8 [198e06fe] + BangBang v0.4.9 [e2ed5e7c] + Bijections v0.2.2 ⌅ [76274a88] + Bijectors v0.15.16 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] + BlockArrays v1.9.3 [70df07ce] + BracketingNonlinearSolve v1.12.1 [2a0fbf3d] + CPUSummary v0.2.7 [336ed68f] + CSV v0.10.16 [082447d4] + ChainRules v1.73.0 [d360d2e6] + ChainRulesCore v1.26.1 [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 v1.0.2 [38540f10] + CommonSolve v0.2.7 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [5224ae11] + CompatHelperLocal v0.1.29 [b152e2b5] + CompositeTypes v0.1.4 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.4 [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 v1.8.2 [864edb3b] + DataStructures v0.19.5 [e2d170a0] + DataValueInterfaces v1.0.0 [8bb1440f] + DelimitedFiles v1.9.1 [b429d917] + DensityInterface v0.4.0 ⌅ [2b5f629d] + DiffEqBase v6.214.1 [ebbdde9d] + DiffEqBayes v3.13.0 [459566f4] + DiffEqCallbacks v4.17.0 [77a26b50] + DiffEqNoiseProcess v5.31.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [a0c0ee7d] + DifferentiationInterface v0.7.18 [8d63f2c5] + DispatchDoctor v0.4.28 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.126 [ced4e74d] + DistributionsAD v0.6.58 [ffbed154] + DocStringExtensions v0.9.5 ⌅ [5b8099bc] + DomainSets v0.7.18 [bbc10e6e] + DynamicHMC v3.6.1 ⌅ [366bfd00] + DynamicPPL v0.39.15 [7c1d4256] + DynamicPolynomials v0.6.6 [06fc5a27] + DynamicQuantities v1.13.0 [cad2338a] + EllipticalSliceSampling v2.0.0 [4e289a0a] + EnumX v1.0.7 [f151be2c] + EnzymeCore v0.8.20 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [b86e33f2] + FFTA v0.3.1 [7034ab61] + FastBroadcast v1.3.2 [9aa1b823] + FastClosures v0.3.2 [a4df4552] + FastPower v1.3.1 [48062228] + FilePathsBase v0.9.24 [1a297f60] + FillArrays v1.16.0 ⌅ [64ca27bc] + FindFirstFunctions v1.8.0 [6a86dc24] + FiniteDiff v2.31.0 [1fa38f19] + Format v1.3.7 [f6369f11] + ForwardDiff v1.3.3 [a85aefff] + FunctionMaps v0.1.2 [069b7b12] + FunctionWrappers v1.1.3 ⌅ [77dc65aa] + FunctionWrappersWrappers v0.1.3 [d9f16b24] + Functors v0.5.2 [46192b85] + GPUArraysCore v0.2.0 [c27321d9] + Glob v1.5.0 [86223c79] + Graphs v1.14.0 [34004b35] + HypergeometricFunctions v0.3.28 [615f187c] + IfElse v0.1.1 ⌅ [3263718b] + ImplicitDiscreteSolve v1.10.0 [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 v0.7.14 [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 v1.8.0 ⌅ [682c06a0] + JSON v0.21.4 [ae98c720] + Jieko v0.2.1 [98e50ef6] + JuliaFormatter v2.5.6 [70703baa] + JuliaSyntax v1.0.2 [ccbc3e58] + JumpProcesses v9.29.0 [5ab0869b] + KernelDensity v0.6.12 [ba0b0d4f] + Krylov v0.10.6 [b964fa9f] + LaTeXStrings v1.4.0 [2ee39098] + LabelledArrays v1.19.0 [23fbe1c1] + Latexify v0.16.10 [10f19ff3] + LayoutPointers v0.1.17 [1fad7336] + LazyStack v0.1.3 ⌅ [1d6d02ad] + LeftChildRightSiblingTrees v0.2.1 [6f1fad26] + Libtask v0.9.17 [87fe0de2] + LineSearch v0.1.9 ⌃ [d3d80556] + LineSearches v7.5.1 [7ed4a6bd] + LinearSolve v3.82.0 [6fdf6af0] + LogDensityProblems v2.2.0 [996a588d] + LogDensityProblemsAD v1.13.1 ⌅ [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [c7f686f2] + MCMCChains v7.7.0 [be115224] + MCMCDiagnosticTools v0.3.17 [e80e1ace] + MLJModelInterface v1.12.1 [d8e11817] + MLStyle v0.4.17 [1914dd2f] + MacroTools v0.5.16 [d125e4d3] + ManualMemory v0.1.8 [dbb5928d] + MappedArrays v0.4.3 [bb5d69b7] + MaybeInplace v0.1.4 [e1d29d7a] + Missings v1.2.0 [dbe65cb8] + MistyClosures v2.1.0 ⌅ [961ee093] + ModelingToolkit v10.32.1 [2e0e35c7] + Moshi v0.3.8 [46d2c3a1] + MuladdMacro v0.2.4 [102ac46a] + MultivariatePolynomials v0.5.19 [d8a4904e] + MutableArithmetics v1.8.0 ⌅ [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 [86f7a689] + NamedArrays v0.10.5 [d9ec5142] + NamedTupleTools v0.14.3 [c020b1a1] + NaturalSort v1.0.0 ⌃ [be0214bd] + NonlinearSolveBase v2.11.2 ⌃ [5959db7a] + NonlinearSolveFirstOrder v2.0.0 [6fe1bfb0] + OffsetArrays v1.17.0 ⌅ [429524aa] + Optim v1.13.3 [3bd65402] + Optimisers v0.4.7 ⌃ [7f7a1694] + Optimization v5.4.0 ⌅ [bca83a33] + OptimizationBase v4.2.0 ⌃ [36348300] + OptimizationOptimJL v0.4.8 ⌅ [bac558e1] + OrderedCollections v1.8.2 ⌅ [bbf590c4] + OrdinaryDiffEqCore v3.28.0 [90014a1f] + PDMats v0.11.37 ⌅ [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.4 [e409e4f3] + PoissonRandom v0.4.9 [f517fe37] + Polyester v0.7.19 [1d0040c9] + PolyesterWeave v0.2.2 [2dfb63ee] + PooledArrays v1.4.3 [85a6dd25] + PositiveFactorizations v0.2.4 ⌃ [d236fae5] + PreallocationTools v0.4.34 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [08abe8d2] + PrettyTables v3.3.2 [27ebfcd6] + Primes v0.5.7 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 [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 v3.54.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [ae5879a3] + ResettableStacks v1.2.0 [79098fc4] + Rmath v0.9.0 ⌅ [f2b01f46] + Roots v2.3.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.19 [9dfe8606] + SCCNonlinearSolve v1.13.0 [94e857df] + SIMDTypes v0.1.0 [26aad666] + SSMProblems v0.6.1 ⌅ [0bca4576] + SciMLBase v2.153.1 [19f34311] + SciMLJacobianOperators v0.1.13 ⌅ [a6db7da4] + SciMLLogging v1.10.1 [c0aeaf25] + SciMLOperators v1.22.0 [431bcebd] + SciMLPublic v1.0.1 [53ae85a6] + SciMLStructures v1.10.0 [30f210dd] + ScientificTypesBase v3.1.0 [91c51154] + SentinelArrays v1.4.10 [efcf1570] + Setfield v1.1.2 ⌃ [727e6d20] + SimpleNonlinearSolve v2.11.0 [699a6c99] + SimpleTraits v0.9.6 [a2af1166] + SortingAlgorithms v1.2.2 [9f842d2f] + SparseConnectivityTracer v1.2.1 [dc90abb0] + SparseInverseSubset v0.1.2 [0a514795] + SparseMatrixColorings v0.4.27 [276daf66] + SpecialFunctions v2.8.0 [d0ee94f6] + StanBase v4.12.4 ⌃ [c1514b29] + StanSample v7.1.1 [0c0c59c1] + StarAlgebras v0.3.0 [aedffcd0] + Static v1.4.0 [0d7ed370] + StaticArrayInterface v1.10.0 [90137ffa] + StaticArrays v1.9.18 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.11 ⌅ [4c63d2b9] + StatsFuns v1.5.2 [7792a7ef] + StrideArraysCore v0.5.9 [5e0ebb24] + Strided v2.5.0 [4db3bf67] + StridedViews v0.5.1 [892a3eda] + StringManipulation v0.4.4 [09ab397b] + StructArrays v0.7.3 [2efcf032] + SymbolicIndexingInterface v0.3.48 ⌅ [19f23fe9] + SymbolicLimits v0.2.3 ⌅ [d1185830] + SymbolicUtils v3.32.0 ⌅ [0c5d862f] + Symbolics v6.58.0 [ab02a1b2] + TableOperations v1.2.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [ed4db957] + TaskLocalValues v0.1.3 [02d47bb6] + TensorCast v0.4.9 [8ea1fca8] + TermInterface v2.0.0 [5d786b92] + TerminalLoggers v0.1.7 [1c621080] + TestItems v1.0.0 [8290d209] + ThreadingUtilities v0.5.6 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [84d833dd] + TransformVariables v0.8.25 [f9bc47f6] + TransformedLogDensities v1.1.1 [24ddb15e] + TransmuteDims v0.1.17 [410a4b4d] + Tricks v0.1.13 [781d530d] + TruncatedStacktraces v1.4.0 [9d95972d] + TupleTools v1.6.0 ⌅ [fce5fe82] + Turing v0.42.9 [5c2747f8] + URIs v1.6.1 [3a884ed6] + UnPack v1.0.2 [1986cc42] + Unitful v1.28.0 [a7c27f48] + Unityper v0.1.6 [ea10d353] + WeakRefStrings v1.4.3 [efce3f68] + WoodburyMatrices v1.1.0 [76eceee3] + WorkerUtilities v1.6.1 [700de1a5] + ZygoteRules v0.2.7 [61579ee1] + Ghostscript_jll v9.55.1+0 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0 [aacddb02] + JpegTurbo_jll v3.1.5+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 v2022.3.0+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [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 v1.5.2+0 [deac9b47] + LibCURL_jll v8.20.0+1 [e37daf67] + LibGit2_jll v1.9.4+0 [29816b5a] + LibSSH2_jll v1.11.101+0 [14a3606d] + MozillaCACerts_jll v2026.5.14 [4536629a] + OpenBLAS_jll v0.3.33+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.6+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.69.0+0 [3f19e933] + p7zip_jll v17.8.0+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 9.53s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 8.9 s ✓ AbstractPPL 9.3 s ✓ SciMLBase → SciMLBaseDistributionsExt 11.5 s ✓ OptimizationBase 2.8 s ✓ TransformVariables → ChangesOfVariablesExt 8.1 s ✓ LabelledArrays 7.2 s ✓ Bijectors → BijectorsEnzymeCoreExt 6.2 s ✓ AdvancedVI → AdvancedVIBijectorsExt 11.3 s ✓ SteadyStateDiffEq 6.0 s ✓ DiffEqCallbacks → DiffEqCallbacksFunctorsExt 8.3 s ✓ AdvancedHMC → AdvancedHMCOrdinaryDiffEqSymplecticRKExt 17.2 s ✓ OrdinaryDiffEqExtrapolation 46.8 s ✓ OrdinaryDiffEqRosenbrock 21.3 s ✓ OrdinaryDiffEqExponentialRK 23.9 s ✓ OrdinaryDiffEqStabilizedIRK 24.2 s ✓ OrdinaryDiffEqPDIRK 58.5 s ✓ OrdinaryDiffEqSDIRK 23.1 s ✓ OrdinaryDiffEqIMEXMultistep 8.3 s ✓ AbstractPPL → AbstractPPLDistributionsExt 92.9 s ✓ Symbolics 13.2 s ✓ DiffEqNoiseProcess 7.4 s ✓ Optimization 61.5 s ✓ OptimizationOptimJL 10.7 s ✓ SymbolicUtils → SymbolicUtilsLabelledArraysExt 45.6 s ✓ OrdinaryDiffEqBDF 26.0 s ✓ DynamicPPL 19.9 s ✓ Symbolics → SymbolicsForwardDiffExt 18.8 s ✓ DifferentiationInterface → DifferentiationInterfaceSymbolicsExt 11.4 s ✓ DiffEqNoiseProcess → DiffEqNoiseProcessOptimExt 101.1 s ✓ OrdinaryDiffEqDefault 9.3 s ✓ DynamicPPL → DynamicPPLChainRulesCoreExt 14.1 s ✓ DynamicPPL → DynamicPPLMCMCChainsExt 8.5 s ✓ DynamicPPL → DynamicPPLForwardDiffExt 8.4 s ✓ DynamicPPL → DynamicPPLEnzymeCoreExt 19.4 s ✓ Symbolics → SymbolicsPreallocationToolsExt 41.9 s ✓ OrdinaryDiffEq 24.7 s ✓ Turing 478.7 s ✓ ModelingToolkit 20.8 s ✓ Turing → TuringDynamicHMCExt 82.3 s ✓ ModelingToolkit → MTKLabelledArraysExt 82.8 s ✓ ParameterizedFunctions ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. └ @ StanBase ~/.julia/packages/StanBase/iTSQG/src/StanBase.jl:52 134.1 s ✓ DiffEqBayes 41 dependencies successfully precompiled in 1643 seconds. 492 already precompiled. 1 dependency had output during precompilation: ┌ DiffEqBayes │ ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. │ └ @ StanBase ~/.julia/packages/StanBase/iTSQG/src/StanBase.jl:52 └ Precompilation completed after 1667.11s ################################################################################ # Testing # Testing DiffEqBayes Status `/tmp/jl_dE1OgQ/Project.toml` [47edcb42] ADTypes v1.22.0 ⌅ [2b5f629d] DiffEqBase v6.214.1 [ebbdde9d] DiffEqBayes v3.13.0 [163ba53b] DiffResults v1.1.0 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.126 [ffbed154] DocStringExtensions v0.9.5 [bbc10e6e] DynamicHMC v3.6.1 [f6369f11] ForwardDiff v1.3.3 [2ee39098] LabelledArrays v1.19.0 [996a588d] LogDensityProblemsAD v1.13.1 [1914dd2f] MacroTools v0.5.16 [e1d29d7a] Missings v1.2.0 ⌅ [961ee093] ModelingToolkit v10.32.1 ⌅ [429524aa] Optim v1.13.3 ⌃ [1dea7af3] OrdinaryDiffEq v6.111.0 [90014a1f] PDMats v0.11.37 ⌃ [65888b18] ParameterizedFunctions v5.19.0 ⌅ [d96e819e] Parameters v0.12.3 ⌅ [731186ca] RecursiveArrayTools v3.54.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [1bc83da4] SafeTestsets v0.1.0 [53ae85a6] SciMLStructures v1.10.0 ⌃ [c1514b29] StanSample v7.1.1 [2913bbd2] StatsBase v0.34.11 [9672c7b4] SteadyStateDiffEq v2.11.0 [09ab397b] StructArrays v0.7.3 [84d833dd] TransformVariables v0.8.25 [f9bc47f6] TransformedLogDensities v1.1.1 ⌅ [fce5fe82] Turing v0.42.9 [8ba89e20] Distributed v1.11.0 [37e2e46d] LinearAlgebra v1.14.0 [44cfe95a] Pkg v1.14.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_dE1OgQ/Manifest.toml` [47edcb42] ADTypes v1.22.0 [621f4979] AbstractFFTs v1.5.0 [80f14c24] AbstractMCMC v5.15.1 ⌅ [7a57a42e] AbstractPPL v0.13.6 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.44 [79e6a3ab] Adapt v4.6.0 [0bf59076] AdvancedHMC v0.8.5 [5b7e9947] AdvancedMH v0.8.10 [576499cb] AdvancedPS v0.7.2 [b5ca4192] AdvancedVI v0.6.2 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.25.0 [4c555306] ArrayLayouts v1.12.2 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.8 [198e06fe] BangBang v0.4.9 [e2ed5e7c] Bijections v0.2.2 ⌅ [76274a88] Bijectors v0.15.16 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] BlockArrays v1.9.3 [70df07ce] BracketingNonlinearSolve v1.12.1 [2a0fbf3d] CPUSummary v0.2.7 [336ed68f] CSV v0.10.16 [082447d4] ChainRules v1.73.0 [d360d2e6] ChainRulesCore v1.26.1 [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 v1.0.2 [38540f10] CommonSolve v0.2.7 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [5224ae11] CompatHelperLocal v0.1.29 [b152e2b5] CompositeTypes v0.1.4 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.4 [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] 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v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.69.0+0 [3f19e933] p7zip_jll v17.8.0+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/iTSQG/src/StanBase.jl:52 ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/JvjlW/src/utils.jl:121 ┌ Info: found initial stepsize └ ϵ = 0.05 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00031 │ estimated_seconds_left = 0.023 └ ϵ = 0.05 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.065 │ estimated_seconds_left = 1.6 └ ϵ = 0.000218 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00018080037979433254, 0.05901379753643003, 0.09905432574646728] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.056 │ estimated_seconds_left = 2.8 └ ϵ = 0.00014 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [7.504860435210443e-5, 0.2403935966895844, 0.23941862835300845] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00018 │ estimated_seconds_left = 0.017 └ ϵ = 0.44 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00010026637293518614, 0.2861982903316826, 0.20848452900079675] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00019 │ estimated_seconds_left = 0.038 └ ϵ = 0.767 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00067 │ estimated_seconds_left = 0.066 └ ϵ = 1.12 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [9.098053529124528e-5, 0.26009023716090235, 0.248363444153404] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00046 │ estimated_seconds_left = 0.18 └ ϵ = 0.783 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0006 │ estimated_seconds_left = 0.18 └ ϵ = 0.69 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00097 │ estimated_seconds_left = 0.19 └ ϵ = 0.6 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00044 │ estimated_seconds_left = 0.044 └ ϵ = 0.984 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00010027573327960655, 0.27366354599275644, 0.25508896859282315] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00018 │ estimated_seconds_left = 0.0088 └ ϵ = 0.877 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00048 └ estimated_seconds_left = 0.48 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00085 └ estimated_seconds_left = 0.76 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00063 └ estimated_seconds_left = 0.51 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00056 └ estimated_seconds_left = 0.39 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00051 └ estimated_seconds_left = 0.31 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00053 └ estimated_seconds_left = 0.26 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00051 └ estimated_seconds_left = 0.2 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00055 └ estimated_seconds_left = 0.16 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00057 └ estimated_seconds_left = 0.11 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00053 └ estimated_seconds_left = 0.052 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Info: found initial stepsize └ ϵ = 0.0125 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 4.3e-5 │ estimated_seconds_left = 0.0032 └ ϵ = 0.0125 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00064 │ estimated_seconds_left = 0.015 └ ϵ = 0.000384 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0029530073477192593, 0.002970129515870032, 0.0008799613876623539, 0.14829407169639047, 0.14447504316188295] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.038 │ estimated_seconds_left = 1.9 └ ϵ = 0.000196 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0014966540905775076, 0.0034836426549958283, 0.0004973188820131826, 0.2590796394832837, 0.24842767857920192] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00084 │ estimated_seconds_left = 0.083 └ ϵ = 0.0783 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0012547518144762871, 0.0027221984663761507, 0.00044055360538313565, 0.24540678578467515, 0.2040626474222467] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00055 │ estimated_seconds_left = 0.11 └ ϵ = 0.161 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0018 │ estimated_seconds_left = 0.18 └ ϵ = 0.197 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.001274646519017087, 0.002982983539407241, 0.0004418134752809431, 0.2811359147571994, 0.26501298100901394] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0012 │ estimated_seconds_left = 0.5 └ ϵ = 0.192 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0019 │ estimated_seconds_left = 0.58 └ ϵ = 0.114 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0013 │ estimated_seconds_left = 0.26 └ ϵ = 0.29 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0012 │ estimated_seconds_left = 0.12 └ ϵ = 0.269 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.001269520891330988, 0.00318792502017726, 0.00044687561652688023, 0.27397165078255786, 0.25886636445240513] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00058 │ estimated_seconds_left = 0.028 └ ϵ = 0.217 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0006 └ estimated_seconds_left = 0.6 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0018 └ estimated_seconds_left = 1.6 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.002 └ estimated_seconds_left = 1.6 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0017 └ estimated_seconds_left = 1.2 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0018 └ estimated_seconds_left = 1.1 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.002 └ estimated_seconds_left = 1.0 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.0017 └ estimated_seconds_left = 0.68 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0019 └ estimated_seconds_left = 0.57 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.0018 └ estimated_seconds_left = 0.36 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.0018 └ estimated_seconds_left = 0.18 ┌ Info: found initial stepsize └ ϵ = 0.2 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00019 │ estimated_seconds_left = 0.014 └ ϵ = 0.2 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00012 │ estimated_seconds_left = 0.0029 └ ϵ = 0.00467 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0009431710162044331, 0.3386929284971203] ┌ 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 = 0.00118 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00020960917899440838, 0.36943279486832575] ┌ 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 = 0.177 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00020672063233285494, 0.23663659527667188] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00024 │ estimated_seconds_left = 0.048 └ ϵ = 0.537 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00029 │ estimated_seconds_left = 0.029 └ ϵ = 0.965 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00019039015342335965, 0.26441053572080675] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00012 │ estimated_seconds_left = 0.047 └ ϵ = 0.767 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00032 │ estimated_seconds_left = 0.095 └ ϵ = 1.34 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00029 │ estimated_seconds_left = 0.058 └ ϵ = 0.581 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00029 │ estimated_seconds_left = 0.028 └ ϵ = 1.27 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0002069566496304273, 0.2678209620305144] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00013 │ estimated_seconds_left = 0.0064 └ ϵ = 0.935 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00013 └ estimated_seconds_left = 0.13 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00029 └ estimated_seconds_left = 0.26 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00033 └ estimated_seconds_left = 0.26 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00033 └ estimated_seconds_left = 0.23 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0003 └ estimated_seconds_left = 0.18 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00032 └ estimated_seconds_left = 0.16 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00035 └ estimated_seconds_left = 0.14 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00032 └ estimated_seconds_left = 0.095 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00033 └ estimated_seconds_left = 0.065 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00034 └ estimated_seconds_left = 0.034 ┌ Warning: Verbosity toggle: init_NaN │ First function call produced NaNs. Exiting. Double check that none of the initial conditions, parameters, or timespan values are NaN. └ @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/R5eSF/src/initdt.jl:167 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Info: found initial stepsize └ ϵ = 0.00156 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 7.8e-5 │ estimated_seconds_left = 0.0058 └ ϵ = 0.00156 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00029 │ estimated_seconds_left = 0.007 └ ϵ = 0.000378 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0006951672027749175, 0.0002805354572506733, 0.07876869705828772] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.04 │ estimated_seconds_left = 2.0 └ ϵ = 0.000158 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0005944280620976146, 0.00021589485362595495, 0.139329925175354] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00031 │ estimated_seconds_left = 0.031 └ ϵ = 0.44 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0007679598518508913, 0.00025569383185607, 0.26301736891805655] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00032 │ estimated_seconds_left = 0.063 └ ϵ = 0.688 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0014 │ estimated_seconds_left = 0.14 └ ϵ = 0.473 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0007742165914019905, 0.0002807541534594301, 0.2934140613246335] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00028 │ estimated_seconds_left = 0.11 └ ϵ = 0.516 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00062 │ estimated_seconds_left = 0.19 └ ϵ = 0.384 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00057 │ estimated_seconds_left = 0.11 └ ϵ = 0.444 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00049 │ estimated_seconds_left = 0.048 └ ϵ = 0.419 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008164887946581235, 0.00028796903091078755, 0.25080421166262523] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00026 │ estimated_seconds_left = 0.013 └ ϵ = 0.525 ┌ 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 = 0.00055 └ estimated_seconds_left = 0.49 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0006 └ estimated_seconds_left = 0.48 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00053 └ estimated_seconds_left = 0.37 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00056 └ estimated_seconds_left = 0.34 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00051 └ estimated_seconds_left = 0.26 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00053 └ estimated_seconds_left = 0.21 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00054 └ estimated_seconds_left = 0.16 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00057 └ estimated_seconds_left = 0.11 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00051 └ estimated_seconds_left = 0.05 ┌ 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/LPQ65/test/dynamicHMC.jl:77 ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/JvjlW/src/utils.jl:121 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Warning: Verbosity toggle: init_NaN │ First function call produced NaNs. Exiting. Double check that none of the initial conditions, parameters, or timespan values are NaN. └ @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/R5eSF/src/initdt.jl:167 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00014 │ estimated_seconds_left = 0.011 └ ϵ = 1.0 ┌ Warning: Verbosity toggle: init_NaN │ First function call produced NaNs. Exiting. Double check that none of the initial conditions, parameters, or timespan values are NaN. └ @ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/R5eSF/src/initdt.jl:167 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ 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 = 0.000433 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0027140332783620502, 0.004080852142692277, 0.003056532974408906, 0.005064210582743258, 0.2221459691083669, 0.13671853097483117] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.056 │ estimated_seconds_left = 2.7 └ ϵ = 0.000259 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.001497263747566156, 0.0022929371181188035, 0.0022536800285515002, 0.0021455415697167347, 0.2970706715574351, 0.31107152603193333] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0045 │ estimated_seconds_left = 0.45 └ ϵ = 0.0385 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0012009862500296988, 0.0021127829288625334, 0.0018313221472762032, 0.00198903652349224, 0.31998452257265664, 0.24660609115698934] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0027 │ estimated_seconds_left = 0.54 └ ϵ = 0.0796 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0036 │ estimated_seconds_left = 0.35 └ ϵ = 0.183 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0015518433195442687, 0.002769555772981093, 0.002282551167868981, 0.0024695444978522652, 0.3648988152333267, 0.3483653753324636] ┌ 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 = 0.13 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0042 │ estimated_seconds_left = 1.3 └ ϵ = 0.0542 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0035 │ estimated_seconds_left = 0.7 └ ϵ = 0.109 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0024 │ estimated_seconds_left = 0.23 └ ϵ = 0.106 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0012438239704304947, 0.002060650595040801, 0.0018337607063661084, 0.0019624708170783802, 0.2907969111329634, 0.2935249325955878] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0014 │ estimated_seconds_left = 0.068 └ ϵ = 0.121 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00067 └ estimated_seconds_left = 0.67 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0026 └ estimated_seconds_left = 2.4 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0023 └ estimated_seconds_left = 1.8 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0031 └ estimated_seconds_left = 2.2 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0027 └ estimated_seconds_left = 1.6 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0031 └ estimated_seconds_left = 1.5 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.0027 └ estimated_seconds_left = 1.1 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0028 └ estimated_seconds_left = 0.83 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.0027 └ estimated_seconds_left = 0.54 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.0027 └ estimated_seconds_left = 0.26 Test Summary: | Pass Broken Total Time DynamicHMC | 8 2 10 7m54.9s 476.633975 seconds (238.40 M allocations: 14.168 GiB, 1.70% gc time, 57.12% compilation time: 2% of which was recompilation) One parameter case ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/JvjlW/src/utils.jl:121 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Info: Found initial step size └ ϵ = 0.0125 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 bayesian_result = MCMC chain (500×16×1 Array{Float64, 3}) ┌ 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/C1aKp/src/sample.jl:544 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Info: Found initial step size └ ϵ = 0.0125 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Info: Found initial step size └ ϵ = 0.0125 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Info: Found initial step size └ ϵ = 0.0125 ┌ Info: Found initial step size └ ϵ = 0.0125 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/O1HPI/src/integrator_interface.jl:679 ┌ Info: Found initial step size └ ϵ = 2.384185791015625e-8 Four parameter case ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/JvjlW/src/utils.jl:121 ┌ Info: Found initial step size └ ϵ = 0.025 ====================================================================================== 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 136 running 1 of 1 signal (10): User defined signal 1 gc_sweep_page at /source/src/gc-stock.c:926:31 gc_sweep_pool_page at /source/src/gc-stock.c:1001:5 [inlined] gc_sweep_pool_parallel at /source/src/gc-stock.c:1297:17 gc_sweep_pool at /source/src/gc-stock.c:1421:9 [inlined] _jl_gc_collect at /source/src/gc-stock.c:3246:9 ijl_gc_collect at /source/src/gc-stock.c:3552:13 maybe_collect at /source/src/gc-stock.c:357:9 [inlined] jl_gc_small_alloc_inner at /source/src/gc-stock.c:734:5 jl_gc_small_alloc_noinline at /source/src/gc-stock.c:792:12 [inlined] jl_gc_alloc_ at /source/src/gc-stock.c:806:13 jl_alloc_genericmemory_unchecked at /source/src/genericmemory.c:41:30 GenericMemory at ./boot.jl:658:0 [inlined] Array at ./boot.jl:718:0 [inlined] Array at ./boot.jl:731:0 [inlined] Array at ./boot.jl:739:0 [inlined] similar at ./abstractarray.jl:873:0 [inlined] similar at ./array.jl:414:0 [inlined] similar at ./abstractarray.jl:872:0 [inlined] similar at ./broadcast.jl:228:0 [inlined] similar at ./broadcast.jl:227:0 [inlined] copy at ./broadcast.jl:930:0 [inlined] materialize at ./broadcast.jl:899:0 [inlined] sqmahal at /home/pkgeval/.julia/packages/Distributions/nfRUl/src/multivariate/mvnormal.jl:262:0 (pc: 41) _logpdf at /home/pkgeval/.julia/packages/Distributions/nfRUl/src/multivariate/mvnormal.jl:139:0 (pc: 59) logpdf at /home/pkgeval/.julia/packages/Distributions/nfRUl/src/common.jl:269:0 [inlined] loglikelihood at /home/pkgeval/.julia/packages/Distributions/nfRUl/src/common.jl:465:0 [inlined] accumulate_observe!! at /home/pkgeval/.julia/packages/DynamicPPL/Qf6tQ/src/default_accumulators.jl:165:0 [inlined] #accumulate_observe!!##0 at /home/pkgeval/.julia/packages/DynamicPPL/Qf6tQ/src/abstract_varinfo.jl:320:0 [inlined] map at ./tuple.jl:360:0 [inlined] map at ./namedtuple.jl:263:0 [inlined] map at /home/pkgeval/.julia/packages/DynamicPPL/Qf6tQ/src/accumulators.jl:205:0 [inlined] map_accumulators!! at /home/pkgeval/.julia/packages/DynamicPPL/Qf6tQ/src/abstract_varinfo.jl:330:0 [inlined] accumulate_observe!! at /home/pkgeval/.julia/packages/DynamicPPL/Qf6tQ/src/abstract_varinfo.jl:320:0 [inlined] tilde_observe!! at /home/pkgeval/.julia/packages/DynamicPPL/Qf6tQ/src/contexts/default.jl:57:0 [inlined] tilde_observe!! at /home/pkgeval/.julia/packages/DynamicPPL/Qf6tQ/src/contexts/init.jl:405:0 (pc: 27) unknown function (ip: 0x744a829b524c) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 infer at /home/pkgeval/.julia/packages/DiffEqBayes/LPQ65/src/turing_inference.jl:69:0 (pc: 474) _evaluate!! at /home/pkgeval/.julia/packages/DynamicPPL/Qf6tQ/src/model.jl:997:0 [inlined] evaluate!! at /home/pkgeval/.julia/packages/DynamicPPL/Qf6tQ/src/model.jl:983:0 [inlined] init!! at /home/pkgeval/.julia/packages/DynamicPPL/Qf6tQ/src/model.jl:938:0 [inlined] init!! at /home/pkgeval/.julia/packages/DynamicPPL/Qf6tQ/src/model.jl:943:0 [inlined] logdensity_at at /home/pkgeval/.julia/packages/DynamicPPL/Qf6tQ/src/logdensityfunction.jl:291:0 (pc: 8) FixTail at /home/pkgeval/.julia/packages/DifferentiationInterface/f85Vv/src/utils/context.jl:172:0 [inlined] vector_mode_dual_eval! at /home/pkgeval/.julia/packages/ForwardDiff/z3jRk/src/apiutils.jl:24:0 [inlined] vector_mode_gradient! at /home/pkgeval/.julia/packages/ForwardDiff/z3jRk/src/gradient.jl:105:0 (pc: 140) gradient! at /home/pkgeval/.julia/packages/ForwardDiff/z3jRk/src/gradient.jl:39:0 [inlined] value_and_gradient at /home/pkgeval/.julia/packages/DifferentiationInterface/f85Vv/ext/DifferentiationInterfaceForwardDiffExt/onearg.jl:419:0 [inlined] logdensity_and_gradient at /home/pkgeval/.julia/packages/DynamicPPL/Qf6tQ/src/logdensityfunction.jl:373:0 [inlined] #_#56 at ./operators.jl:1205:0 [inlined] Fix at ./operators.jl:1205:0 [inlined] ∂H∂θ at /home/pkgeval/.julia/packages/AdvancedHMC/lUCUf/src/hamiltonian.jl:46:0 [inlined] #step#10 at /home/pkgeval/.julia/packages/AdvancedHMC/lUCUf/src/integrator.jl:242:0 (pc: 958) step at /home/pkgeval/.julia/packages/AdvancedHMC/lUCUf/src/integrator.jl:216:0 [inlined] build_tree at /home/pkgeval/.julia/packages/AdvancedHMC/lUCUf/src/trajectory.jl:640:0 (pc: 5) build_tree at /home/pkgeval/.julia/packages/AdvancedHMC/lUCUf/src/trajectory.jl:650:0 (pc: 37) build_tree at /home/pkgeval/.julia/packages/AdvancedHMC/lUCUf/src/trajectory.jl:661:0 (pc: 60) transition at /home/pkgeval/.julia/packages/AdvancedHMC/lUCUf/src/trajectory.jl:702:0 (pc: 65) transition at /home/pkgeval/.julia/packages/AdvancedHMC/lUCUf/src/sampler.jl:57:0 [inlined] #step#31 at /home/pkgeval/.julia/packages/Turing/csgsG/src/mcmc/hmc.jl:256:0 [inlined] step at /home/pkgeval/.julia/packages/Turing/csgsG/src/mcmc/hmc.jl:241:0 (pc: 38) unknown function (ip: 0x744a829bc0d7) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] jl_f__apply_iterate at /source/src/builtins.c:905:26 #_step_or_step_warmup#25 at /home/pkgeval/.julia/packages/AbstractMCMC/C1aKp/src/sample.jl:0:0 (pc: 13) _step_or_step_warmup at /home/pkgeval/.julia/packages/AbstractMCMC/C1aKp/src/sample.jl:124:0 [inlined] macro expansion at /home/pkgeval/.julia/packages/AbstractMCMC/C1aKp/src/sample.jl:315:0 [inlined] #29 at /home/pkgeval/.julia/packages/AbstractMCMC/C1aKp/src/logging.jl:134:0 (pc: 271) with_logstate at ./logging/logging.jl:542:0 (pc: 47) unknown function (ip: 0x744a82928fbb) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 with_logger at ./logging/logging.jl:653:0 (pc: 13) with_progresslogger at /home/pkgeval/.julia/packages/AbstractMCMC/C1aKp/src/logging.jl:157:0 (pc: 34) unknown function (ip: 0x744ae53bb238) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 macro expansion at /home/pkgeval/.julia/packages/AbstractMCMC/C1aKp/src/logging.jl:133:0 [inlined] #mcmcsample#27 at /home/pkgeval/.julia/packages/AbstractMCMC/C1aKp/src/sample.jl:204:0 (pc: 112) mcmcsample at /home/pkgeval/.julia/packages/AbstractMCMC/C1aKp/src/sample.jl:164:0 (pc: 33) #sample#28 at /home/pkgeval/.julia/packages/Turing/csgsG/src/mcmc/hmc.jl:121:0 [inlined] sample at /home/pkgeval/.julia/packages/Turing/csgsG/src/mcmc/hmc.jl:88:0 (pc: 33) unknown function (ip: 0x744a82921e8f) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 sample_chain at /home/pkgeval/.julia/packages/AbstractMCMC/C1aKp/src/sample.jl:893:0 (pc: 34) Splat at ./operators.jl:1366:0 [inlined] iterate at ./generator.jl:48:0 [inlined] collect at ./array.jl:833:0 (pc: 191) map at ./abstractarray.jl:3622:0 [inlined] #mcmcsample#108 at /home/pkgeval/.julia/packages/AbstractMCMC/C1aKp/src/sample.jl:906:0 (pc: 233) mcmcsample at /home/pkgeval/.julia/packages/AbstractMCMC/C1aKp/src/sample.jl:855:0 (pc: 13) unknown function (ip: 0x744a829200d6) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 #sample#4 at /home/pkgeval/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:128:0 (pc: 146) sample at /home/pkgeval/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:111:0 [inlined] #sample#3 at /home/pkgeval/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:106:0 [inlined] sample at /home/pkgeval/.julia/packages/Turing/csgsG/src/mcmc/abstractmcmc.jl:98:0 (pc: 50) unknown function (ip: 0x744a828f9eac) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 #turing_inference#1 at /home/pkgeval/.julia/packages/DiffEqBayes/LPQ65/src/turing_inference.jl:78:0 (pc: 16) turing_inference at /home/pkgeval/.julia/packages/DiffEqBayes/LPQ65/src/turing_inference.jl:1:0 (pc: 38) unknown function (ip: 0x744a828f94ad) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) include_string at ./loading.jl:3132:0 (pc: 189) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 _include at ./loading.jl:3192:0 (pc: 122) include at ./Base.jl:327:0 (pc: 1) IncludeInto at ./Base.jl:328:0 (pc: 2) unknown function (ip: 0x744ae7b29382) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 eval_body at /source/src/interpreter.c:563:21 eval_body at /source/src/interpreter.c:571:21 eval_body at /source/src/interpreter.c:571:21 eval_body at /source/src/interpreter.c:571:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_eval_module_expr at /source/src/toplevel.c:263:5 [inlined] jl_toplevel_eval_flex at /source/src/toplevel.c:665:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) jfptr_eval_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 macro expansion at /home/pkgeval/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28:0 [inlined] macro expansion at ./timing.jl:741:0 [inlined] top-level scope at /home/pkgeval/.julia/packages/DiffEqBayes/LPQ65/test/runtests.jl:10:0 (pc: 170) jl_invoke_oneshot at /source/src/gf.c:4173:23 ijl_eval_thunk at /source/src/toplevel.c:760:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) include_string at ./loading.jl:3132:0 (pc: 207) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 _include at ./loading.jl:3192:0 (pc: 122) include at ./Base.jl:327:0 (pc: 1) IncludeInto at ./Base.jl:328:0 (pc: 2) jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) exec_options at ./client.jl:321:0 (pc: 425) _start at ./client.jl:596:0 (pc: 294) jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] true_main at /source/src/jlapi.c:971:29 jl_repl_entrypoint at /source/src/jlapi.c:1138:15 main at /source/cli/loader_exe.c:58:15 unknown function (ip: 0x744b02087249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== bayesian_result = MCMC chain (500×19×1 Array{Float64, 3}) ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 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:1404:0 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430:0 ijl_task_get_next at /source/src/scheduler.c:457:34 wait at ./task.jl:1246:0 (pc: 107) wait_forever at ./task.jl:1168:0 (pc: 4) jfptr_wait_forever_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] start_task at /source/src/task.c:1275:19 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== Steady state problem┌ 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 0x0000715a6f7fc970 Total snapshots: 441. Utilization: 0% ╎441 @Base/task.jl:1168 wait_forever() 440╎ 441 @Base/task.jl:1246 wait() ┌ 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 0x0000744ae7bfc010 Total snapshots: 15. Utilization: 100% ╎15 @Base/client.jl:596 _start() ╎ 15 @Base/client.jl:321 exec_options(opts::Base.JLOptions) ╎ 15 @Base/boot.jl:521 eval(m::Module, e::Any) ╎ 15 @Base/Base.jl:328 (::Base.IncludeInto)(fname::String) ╎ 15 @Base/Base.jl:327 include(mapexpr::Function, mod::Module, _path::Str… ╎ 15 @Base/loading.jl:3192 _include(mapexpr::Function, mod::Module, _pat… ╎ ╎ 15 @Base/loading.jl:3132 include_string(mapexpr::typeof(identity), mo… ╎ ╎ 15 @Base/boot.jl:521 eval(m::Module, e::Any) ╎ ╎ 15 @DiffEqBayes/…ests.jl:10 top-level scope ╎ ╎ 15 @Base/timing.jl:741 macro expansion ╎ ╎ 15 @SafeTestsets/…ts.jl:28 macro expansion ╎ ╎ ╎ 15 @Base/boot.jl:521 eval(m::Module, e::Any) ╎ ╎ ╎ 15 @Base/Base.jl:328 (::Base.IncludeInto)(fname::String) ╎ ╎ ╎ 15 @Base/Base.jl:327 include(mapexpr::Function, mod::Module, _… ╎ ╎ ╎ 15 @Base/loading.jl:3192 _include(mapexpr::Function, mod::Mod… ╎ ╎ ╎ 15 @Base/loading.jl:3132 include_string(mapexpr::typeof(iden… ╎ ╎ ╎ ╎ 15 @Base/boot.jl:521 eval(m::Module, e::Any) ╎ ╎ ╎ ╎ 15 @DiffEqBayes/…e.jl:1 kwcall(::@NamedTuple{syms::Vector{… ╎ ╎ ╎ ╎ 15 @DiffEqBayes/….jl:78 turing_inference(prob::SciMLBase.… ╎ ╎ ╎ ╎ 15 @Turing/…tmcmc.jl:98 kwcall(::@NamedTuple{progress::B… ╎ ╎ ╎ ╎ 15 @Turing/…mcmc.jl:106 sample(model::DynamicPPL.Model{… ╎ ╎ ╎ ╎ ╎ 15 @Turing/…mcmc.jl:111 kwcall(::@NamedTuple{progress:… ╎ ╎ ╎ ╎ ╎ 15 @Turing/…cmc.jl:128 sample(rng::Random.TaskLocalRN… ╎ ╎ ╎ ╎ ╎ 15 @AbstractMCMC/…:855 kwcall(::@NamedTuple{chain_ty… ╎ ╎ ╎ ╎ ╎ 15 @AbstractMCMC/…:906 mcmcsample(rng::Random.TaskL… ╎ ╎ ╎ ╎ ╎ 15 @Base/…rray.jl:3622 map(::AbstractMCMC.var"#sam… ╎ ╎ ╎ ╎ ╎ ╎ 15 @Base/array.jl:833 collect(itr::Base.Generator… ╎ ╎ ╎ ╎ ╎ ╎ 15 @Base/…ator.jl:48 iterate(::Base.Generator{Ba… ╎ ╎ ╎ ╎ ╎ ╎ 15 @Base/…rs.jl:1366 (::Base.Splat{AbstractMCMC… ╎ ╎ ╎ ╎ ╎ ╎ 15 @AbstractMCMC/…:893 (::AbstractMCMC.var"#sa… ╎ ╎ ╎ ╎ ╎ ╎ 15 @Turing/….jl:88 kwcall(::@NamedTuple{progr… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 15 @Turing/….jl:121 sample(rng::Random.TaskL… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 15 @AbstractMCMC/…:164 kwcall(::@NamedTuple… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 15 @AbstractMCMC/…:204 mcmcsample(rng::Ran… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 15 @AbstractMCMC/…:133 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 15 @AbstractMCMC/…:157 with_progresslogg… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 15 @Base/…ng.jl:653 with_logger(f::Func… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 15 @Base/…ng.jl:542 with_logstate(f::A… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 15 @AbstractMCMC/…:134 (::AbstractMCM… 14╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 15 @AbstractMCMC/…:355 macro expansi… [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404:0 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430:0 ijl_task_get_next at /source/src/scheduler.c:457:34 wait at ./task.jl:1246:0 (pc: 107) wait_forever at ./task.jl:1168:0 (pc: 4) jfptr_wait_forever_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] start_task at /source/src/task.c:1275:19 unknown function (ip: (nil)) at (unknown file) Allocations: 27920526 (Pool: 27919654; Big: 872); GC: 21 [136] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/DiffEqBayes/LPQ65/test/turing.jl:121 var_occurs_inside at /source/src/subtype.c:3567:25 var_occurs_inside at /source/src/subtype.c:3568:17 var_occurs_inside at /source/src/subtype.c:3568:17 var_occurs_inside at /source/src/subtype.c:3568:17 var_occurs_inside at /source/src/subtype.c:3568:17 var_occurs_inside at /source/src/subtype.c:3568:17 var_occurs_inside at /source/src/subtype.c:3568:17 var_occurs_invariant at /source/src/subtype.c:1296:12 [inlined] subtype_unionall at /source/src/subtype.c:1381:27 subtype at /source/src/subtype.c:2077:16 exists_subtype at /source/src/subtype.c:2367:13 [inlined] forall_exists_subtype at /source/src/subtype.c:2396:15 ijl_subtype_env at /source/src/subtype.c:2888:19 [inlined] ijl_subtype_env at /source/src/subtype.c:2852:18 subtype_tuple_tail at /source/src/subtype.c:1812:23 [inlined] subtype_tuple at /source/src/subtype.c:1897:15 [inlined] subtype at /source/src/subtype.c:2136:20 exists_subtype at /source/src/subtype.c:2367:13 [inlined] forall_exists_subtype at /source/src/subtype.c:2396:15 ijl_types_equal at /source/src/subtype.c:2987:23 [inlined] ijl_types_equal at /source/src/subtype.c:2917:18 jl_specializations_get_linfo_ at /source/src/gf.c:236:17 #specialize_method#6 at ./runtime_internals.jl:1830:0 [inlined] specialize_method at ./runtime_internals.jl:1817:0 [inlined] typeinf_edge at ./../usr/share/julia/Compiler/src/typeinfer.jl:1147:0 (pc: 28) abstract_call_method at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:767:0 (pc: 575) infercalls at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:178:0 (pc: 76) abstract_call_gf_by_type at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:339:0 (pc: 116) abstract_call_known at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3030:0 (pc: 1662) abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3138:0 (pc: 189) abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3131:0 [inlined] abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3282:0 (pc: 152) abstract_eval_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3300:0 [inlined] abstract_eval_statement_expr at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3670:0 (pc: 11) abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4126:0 [inlined] abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4083:0 [inlined] typeinf_local at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4667:0 (pc: 3576) jfptr_typeinf_local_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4945:0 (pc: 462) typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1537:0 (pc: 150) typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1741:0 [inlined] typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1750:0 (pc: 12) jfptr_typeinf_ext_toplevel_2.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] jl_type_infer at /source/src/gf.c:463:35 jl_compile_method_internal at /source/src/gf.c:3665:24 _jl_invoke at /source/src/gf.c:4130:16 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) include_string at ./loading.jl:3132:0 (pc: 189) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 _include at ./loading.jl:3192:0 (pc: 122) include at ./Base.jl:327:0 (pc: 1) IncludeInto at ./Base.jl:328:0 (pc: 2) unknown function (ip: 0x744ae7b29382) at (unknown file) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 eval_body at /source/src/interpreter.c:563:21 eval_body at /source/src/interpreter.c:571:21 eval_body at /source/src/interpreter.c:571:21 eval_body at /source/src/interpreter.c:571:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_eval_module_expr at /source/src/toplevel.c:263:5 [inlined] jl_toplevel_eval_flex at /source/src/toplevel.c:665:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) jfptr_eval_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 macro expansion at /home/pkgeval/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28:0 [inlined] macro expansion at ./timing.jl:741:0 [inlined] top-level scope at /home/pkgeval/.julia/packages/DiffEqBayes/LPQ65/test/runtests.jl:10:0 (pc: 170) jl_invoke_oneshot at /source/src/gf.c:4173:23 ijl_eval_thunk at /source/src/toplevel.c:760:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) include_string at ./loading.jl:3132:0 (pc: 207) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 _include at ./loading.jl:3192:0 (pc: 122) include at ./Base.jl:327:0 (pc: 1) IncludeInto at ./Base.jl:328:0 (pc: 2) jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:243:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:706:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:897:21 ijl_eval_thunk at /source/src/toplevel.c:768:18 jl_toplevel_eval_flex at /source/src/toplevel.c:712:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:602:15 jl_toplevel_eval_flex at /source/src/toplevel.c:684:27 ijl_toplevel_eval at /source/src/toplevel.c:782:12 ijl_toplevel_eval_in at /source/src/toplevel.c:827:13 eval at ./boot.jl:521:0 (pc: 1) exec_options at ./client.jl:321:0 (pc: 425) _start at ./client.jl:596:0 (pc: 294) jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4138:23 [inlined] ijl_apply_generic at /source/src/gf.c:4364:12 jl_apply at /source/src/julia.h:2388:12 [inlined] true_main at /source/src/jlapi.c:971:29 jl_repl_entrypoint at /source/src/jlapi.c:1138:15 main at /source/cli/loader_exe.c:58:15 unknown function (ip: 0x744b02087249) 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: 685657605 (Pool: 685652716; Big: 4889); GC: 169 PkgEval terminated after 2723.69s: test duration exceeded the time limit