Package evaluation to test DiffEqBayes on Julia 1.14.0-DEV.2168 (2569364ac4*) started at 2026-05-11T03:37:36.935 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.06s ################################################################################ # Installation # Installing DiffEqBayes... Resolving package versions... Installed DiffEqBayes ─ v3.13.0 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 v4.5.2 [0bf59076] + AdvancedHMC v0.8.3 [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 v7.24.0 [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 v0.10.3 [38540f10] + CommonSolve v0.2.6 [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 v0.2.3 [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 v1.8.2 [864edb3b] + DataStructures v0.19.4 [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 v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.17 [8d63f2c5] + DispatchDoctor v0.4.28 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.125 [ced4e74d] + DistributionsAD v0.6.58 [ffbed154] + DocStringExtensions v0.9.5 ⌅ [5b8099bc] + DomainSets v0.7.18 [bbc10e6e] + DynamicHMC v3.6.0 ⌅ [366bfd00] + DynamicPPL v0.39.15 [7c1d4256] + DynamicPolynomials v0.6.6 [06fc5a27] + DynamicQuantities v1.12.3 [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 v1.4.0 [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 v2.3.0 ⌅ [70703baa] + JuliaSyntax v0.4.10 [ccbc3e58] + JumpProcesses v9.28.0 [5ab0869b] + KernelDensity v0.6.11 [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 v3.75.0 [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 v0.3.7 [46d2c3a1] + MuladdMacro v0.2.4 [102ac46a] + MultivariatePolynomials v0.5.19 [d8a4904e] + MutableArithmetics v1.7.1 ⌅ [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 v1.8.1 ⌅ [bbf590c4] + OrdinaryDiffEqCore v3.28.0 [90014a1f] + PDMats v0.11.37 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.4 [e409e4f3] + PoissonRandom v0.4.7 [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 v1.3.3 [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 v0.5.18 [9dfe8606] + SCCNonlinearSolve v1.13.0 [94e857df] + SIMDTypes v0.1.0 [26aad666] + SSMProblems v0.6.1 [1bc83da4] + SafeTestsets v0.1.0 ⌅ [0bca4576] + SciMLBase v2.153.1 [19f34311] + SciMLJacobianOperators v0.1.13 ⌅ [a6db7da4] + SciMLLogging v1.9.1 [c0aeaf25] + SciMLOperators v1.19.0 [431bcebd] + SciMLPublic v1.0.1 [53ae85a6] + SciMLStructures v1.10.0 [30f210dd] + ScientificTypesBase v3.1.0 [91c51154] + SentinelArrays v1.4.9 [efcf1570] + Setfield v1.1.2 ⌃ [727e6d20] + SimpleNonlinearSolve v2.11.0 [699a6c99] + SimpleTraits v0.9.5 [a2af1166] + SortingAlgorithms v1.2.2 [9f842d2f] + SparseConnectivityTracer v1.2.1 [dc90abb0] + SparseInverseSubset v0.1.2 [0a514795] + SparseMatrixColorings v0.4.27 [276daf66] + SpecialFunctions v2.7.2 [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 v0.34.10 [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 v0.3.47 ⌅ [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 v0.5.5 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [84d833dd] + TransformVariables v0.8.23 [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 v2022.0.0+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 v1.13.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.1+0 [deac9b47] + LibCURL_jll v8.19.0+0 [e37daf67] + LibGit2_jll v1.9.3+0 [29816b5a] + LibSSH2_jll v1.11.101+0 [14a3606d] + MozillaCACerts_jll v2026.3.19 [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 9.87s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 7.5 s ✓ AbstractPPL 8.5 s ✓ OptimizationBase 9.0 s ✓ Bijectors 7.0 s ✓ SciMLBase → SciMLBaseDistributionsExt 3.4 s ✓ TransformVariables → ChangesOfVariablesExt 2.5 s ✓ TransformedLogDensities 6.5 s ✓ LabelledArrays 9.5 s ✓ LinearSolve → LinearSolveForwardDiffExt 10.2 s ✓ SteadyStateDiffEq 10.8 s ✓ JumpProcesses 5.1 s ✓ DiffEqCallbacks → DiffEqCallbacksFunctorsExt 11.4 s ✓ OrdinaryDiffEqLinear 7.8 s ✓ NonlinearSolveQuasiNewton → NonlinearSolveQuasiNewtonForwardDiffExt 6.8 s ✓ AbstractPPL → AbstractPPLDistributionsExt 7.1 s ✓ Optimization 42.1 s ✓ OptimizationOptimJL 4.9 s ✓ Bijectors → BijectorsDistributionsADExt 5.4 s ✓ Bijectors → BijectorsEnzymeCoreExt 4.4 s ✓ Bijectors → BijectorsForwardDiffExt 5.4 s ✓ AdvancedVI → AdvancedVIBijectorsExt 56.7 s ✓ Symbolics 9.7 s ✓ DiffEqNoiseProcess 7.5 s ✓ SymbolicUtils → SymbolicUtilsLabelledArraysExt 59.9 s ✓ NonlinearSolveFirstOrder 14.2 s ✓ OrdinaryDiffEqDifferentiation 8.4 s ✓ JumpProcesses → JumpProcessesOrdinaryDiffEqCoreExt 20.5 s ✓ DynamicPPL 14.9 s ✓ Symbolics → SymbolicsForwardDiffExt 15.3 s ✓ DifferentiationInterface → DifferentiationInterfaceSymbolicsExt 9.0 s ✓ DiffEqNoiseProcess → DiffEqNoiseProcessOptimExt 40.6 s ✓ NonlinearSolve 10.4 s ✓ ImplicitDiscreteSolve 8.7 s ✓ OrdinaryDiffEqDifferentiation → OrdinaryDiffEqDifferentiationSparseArraysExt 6.7 s ✓ DynamicPPL → DynamicPPLChainRulesCoreExt 8.5 s ✓ DynamicPPL → DynamicPPLMCMCChainsExt 5.9 s ✓ DynamicPPL → DynamicPPLForwardDiffExt 6.6 s ✓ DynamicPPL → DynamicPPLEnzymeCoreExt 13.7 s ✓ Symbolics → SymbolicsPreallocationToolsExt 15.0 s ✓ OrdinaryDiffEqExtrapolation 33.6 s ✓ OrdinaryDiffEqRosenbrock 15.6 s ✓ OrdinaryDiffEqExponentialRK 15.9 s ✓ OrdinaryDiffEqNonlinearSolve 20.8 s ✓ Turing 324.6 s ✓ ModelingToolkit 61.8 s ✓ OrdinaryDiffEqFIRK 15.2 s ✓ OrdinaryDiffEqIMEXMultistep 15.5 s ✓ OrdinaryDiffEqStabilizedIRK 15.2 s ✓ OrdinaryDiffEqPDIRK 38.6 s ✓ OrdinaryDiffEqSDIRK 18.6 s ✓ Turing → TuringDynamicHMCExt 64.1 s ✓ ModelingToolkit → MTKLabelledArraysExt 68.6 s ✓ ParameterizedFunctions 31.4 s ✓ OrdinaryDiffEqBDF ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. └ @ StanBase ~/.julia/packages/StanBase/iTSQG/src/StanBase.jl:52 101.8 s ✓ DiffEqBayes 69.2 s ✓ OrdinaryDiffEqDefault 26.0 s ✓ OrdinaryDiffEq ERROR: LoadError: Precompiled image Base.PkgId(Base.UUID("1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"), "OrdinaryDiffEq") 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:56  [2] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2818  [3] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2672  [4] macro expansion  @ ./loading.jl:2599 [inlined]  [5] string(::String, ::Union{Char, SubString{String}, String, Symbol}, ::Symbol, ::String)  @ Base ./lock.jl:376 [inlined]  [6] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2563  [7] require  @ ./loading.jl:2539 [inlined]  [8] eval_import_path(at::Module, from::Nothing, path::Expr, keyword::String)  @ Base ./module.jl:36 [inlined]  [9] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [10] _eval_import(::Bool, ::Module, ::Expr, ::Expr, ::Vararg{Expr})  @ Base ./module.jl:101  [11] top-level scope  @ ~/.julia/packages/AdvancedHMC/kEVkt/ext/AdvancedHMCOrdinaryDiffEqExt.jl:4  [12] include(mod::Module, _path::String)  @ Base ./Base.jl:326  [13] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, 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:3271  [14] top-level scope  @ stdin:5  [15] eval(m::Module, e::Any)  @ Core ./boot.jl:517  [16] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3113  [17] push!(a::Vector{SubString{String}}, item::String)  @ Base ./loading.jl:3123 [inlined]  [18] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:350  [19] _start()  @ Base ./client.jl:593 in expression starting at /home/pkgeval/.julia/packages/AdvancedHMC/kEVkt/ext/AdvancedHMCOrdinaryDiffEqExt.jl:1 in expression starting at stdin:5 ✗ AdvancedHMC → AdvancedHMCOrdinaryDiffEqExt 56 dependencies successfully precompiled in 1463 seconds. 475 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 1454.85s ################################################################################ # Testing # Testing DiffEqBayes Status `/tmp/jl_wTrIKW/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 v0.25.125 [ffbed154] DocStringExtensions v0.9.5 [bbc10e6e] DynamicHMC v3.6.0 [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 v0.34.10 [9672c7b4] SteadyStateDiffEq v2.11.0 [09ab397b] StructArrays v0.7.3 [84d833dd] TransformVariables v0.8.23 [f9bc47f6] TransformedLogDensities v1.1.1 ⌅ [fce5fe82] Turing v0.42.9 [8ba89e20] Distributed v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [44cfe95a] Pkg v1.14.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_wTrIKW/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 v4.5.2 [0bf59076] AdvancedHMC v0.8.3 [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 v7.24.0 [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 v0.10.3 [38540f10] CommonSolve v0.2.6 [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 v0.2.3 [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 v1.8.2 [864edb3b] DataStructures v0.19.4 [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 v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.17 [8d63f2c5] DispatchDoctor v0.4.28 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.125 [ced4e74d] DistributionsAD v0.6.58 [ffbed154] DocStringExtensions v0.9.5 ⌅ [5b8099bc] DomainSets v0.7.18 [bbc10e6e] DynamicHMC v3.6.0 ⌅ [366bfd00] DynamicPPL v0.39.15 [7c1d4256] DynamicPolynomials v0.6.6 [06fc5a27] DynamicQuantities v1.12.3 [cad2338a] EllipticalSliceSampling v2.0.0 [4e289a0a] EnumX v1.0.7 [f151be2c] EnzymeCore v0.8.20 [d4d017d3] ExponentialUtilities v1.30.0 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [b86e33f2] FFTA v0.3.1 [7034ab61] FastBroadcast v1.3.2 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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 = 0.2 ┌ 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 = 0.00031 │ estimated_seconds_left = 0.0074 └ ϵ = 0.00023 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [9.814315327485778e-5, 0.045143806870359286, 0.059458471231013305] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.042 │ estimated_seconds_left = 2.1 └ ϵ = 9.31e-5 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00017021924229750318, 0.26532642349283225, 0.24714170497225532] ┌ 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 = 0.798 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.000138966829085682, 0.207487134823265, 0.2264072841227736] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00014 │ estimated_seconds_left = 0.027 └ ϵ = 0.557 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00049 │ estimated_seconds_left = 0.048 └ ϵ = 1.14 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00012834409495059837, 0.2607000334014005, 0.2628234031278033] ┌ 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 = 0.054 └ ϵ = 0.782 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00056 │ estimated_seconds_left = 0.17 └ ϵ = 0.77 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00036 │ estimated_seconds_left = 0.071 └ ϵ = 0.783 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00035 │ estimated_seconds_left = 0.035 └ ϵ = 0.782 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00015067438729468778, 0.2839713726515393, 0.25291686672241026] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00014 │ estimated_seconds_left = 0.0066 └ ϵ = 0.794 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00043 └ estimated_seconds_left = 0.43 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0007 └ estimated_seconds_left = 0.63 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00057 └ estimated_seconds_left = 0.45 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00088 └ estimated_seconds_left = 0.62 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00048 └ estimated_seconds_left = 0.29 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00047 └ estimated_seconds_left = 0.23 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00047 └ estimated_seconds_left = 0.19 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00048 └ estimated_seconds_left = 0.14 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00045 └ estimated_seconds_left = 0.09 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00043 └ estimated_seconds_left = 0.043 ┌ 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 = 5.2e-5 │ estimated_seconds_left = 0.0039 └ 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 = 0.044 │ estimated_seconds_left = 1.1 └ ϵ = 0.000506 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0014678666891699541, 0.003932872864787071, 0.0005174351926510712, 0.17508226649629405, 0.15458459586865733] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.045 │ estimated_seconds_left = 2.2 └ ϵ = 0.000236 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0015089336932223541, 0.0038167328707365096, 0.0005350465096350223, 0.32559523213415664, 0.298258563652839] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00074 │ estimated_seconds_left = 0.073 └ ϵ = 0.175 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0012059234670708512, 0.0029969729809416253, 0.00040644312821227406, 0.26633626493135887, 0.2814356449368286] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0014 │ estimated_seconds_left = 0.29 └ ϵ = 0.186 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0017 │ estimated_seconds_left = 0.17 └ ϵ = 0.114 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0016203645174791884, 0.003419512701901722, 0.000561668839707773, 0.26686410677516603, 0.298794050638211] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00031 │ estimated_seconds_left = 0.12 └ ϵ = 0.28 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0024 │ estimated_seconds_left = 0.71 └ ϵ = 0.144 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0017 │ estimated_seconds_left = 0.34 └ ϵ = 0.313 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0016 │ estimated_seconds_left = 0.15 └ ϵ = 0.368 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0013529246636030323, 0.002940221549781239, 0.0004673117973705618, 0.2623240817325387, 0.242299935468054] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00039 │ estimated_seconds_left = 0.019 └ ϵ = 0.209 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0015 └ estimated_seconds_left = 1.5 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0017 └ estimated_seconds_left = 1.5 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0018 └ estimated_seconds_left = 1.4 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0018 └ estimated_seconds_left = 1.3 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.002 └ estimated_seconds_left = 1.2 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0017 └ estimated_seconds_left = 0.84 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.0015 └ estimated_seconds_left = 0.62 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0022 └ estimated_seconds_left = 0.66 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.0018 └ estimated_seconds_left = 0.37 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.0017 └ estimated_seconds_left = 0.17 ┌ Info: found initial stepsize └ ϵ = 0.2 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0001 │ estimated_seconds_left = 0.0077 └ 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 = 4.7e-5 │ estimated_seconds_left = 0.0011 └ ϵ = 0.00577 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0011591670720255244, 0.2747452750777955] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.034 │ estimated_seconds_left = 1.7 └ ϵ = 0.000778 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00025643353952026893, 0.3844631894422954] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00039 │ estimated_seconds_left = 0.039 └ ϵ = 0.152 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0001615523238576433, 0.30071931781187317] ┌ 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 = 0.426 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00035 │ estimated_seconds_left = 0.035 └ ϵ = 1.58 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0001580866519748029, 0.2816747569469284] ┌ 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 = 0.691 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00031 │ estimated_seconds_left = 0.093 └ ϵ = 0.376 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00024 │ estimated_seconds_left = 0.049 └ ϵ = 0.365 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00023 │ estimated_seconds_left = 0.022 └ ϵ = 0.546 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0001588913499906511, 0.2523061990734505] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00012 │ estimated_seconds_left = 0.006 └ ϵ = 0.787 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00026 └ estimated_seconds_left = 0.26 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0003 └ estimated_seconds_left = 0.27 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00027 └ estimated_seconds_left = 0.22 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0003 └ estimated_seconds_left = 0.21 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00025 └ estimated_seconds_left = 0.15 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00028 └ estimated_seconds_left = 0.14 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00029 └ estimated_seconds_left = 0.12 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00028 └ estimated_seconds_left = 0.084 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00029 └ estimated_seconds_left = 0.057 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00031 └ estimated_seconds_left = 0.031 ┌ 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 = 5.3e-5 │ estimated_seconds_left = 0.0039 └ ϵ = 0.00156 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00012 │ estimated_seconds_left = 0.0028 └ ϵ = 0.000612 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0014488143962428418, 0.0005282763648372374, 0.2462610573413904] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.039 │ estimated_seconds_left = 1.9 └ ϵ = 0.000358 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008865821233329898, 0.0003194148104785423, 0.289760846243793] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00065 │ estimated_seconds_left = 0.064 └ ϵ = 0.151 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0006495714728724597, 0.00023967740240761126, 0.26030544657499055] ┌ 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 = 0.298 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00074 │ estimated_seconds_left = 0.073 └ ϵ = 0.483 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008730762084998973, 0.00027349700506876376, 0.29625833617235736] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00062 │ estimated_seconds_left = 0.25 └ ϵ = 0.49 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00075 │ estimated_seconds_left = 0.22 └ ϵ = 0.355 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00055 │ estimated_seconds_left = 0.11 └ ϵ = 0.28 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00054 │ estimated_seconds_left = 0.054 └ ϵ = 0.423 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0007924970668501162, 0.0002734377062951167, 0.2516289704627833] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00025 │ estimated_seconds_left = 0.012 └ ϵ = 0.407 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00031 └ estimated_seconds_left = 0.31 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0008 └ estimated_seconds_left = 0.72 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00089 └ estimated_seconds_left = 0.71 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00092 └ estimated_seconds_left = 0.64 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0025 └ estimated_seconds_left = 1.5 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00076 └ estimated_seconds_left = 0.38 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00099 └ estimated_seconds_left = 0.39 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00073 └ estimated_seconds_left = 0.22 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00076 └ estimated_seconds_left = 0.15 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00072 └ estimated_seconds_left = 0.071 ┌ 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 = 0.00022 │ estimated_seconds_left = 0.016 └ 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 = 0.0003 │ estimated_seconds_left = 0.0073 └ ϵ = 0.000532 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0009031682464258326, 0.003021588656694468, 0.0015674074418605868, 0.0015473891425375216, 0.06370151676982726, 0.3349806404466022] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.042 │ estimated_seconds_left = 2.1 └ ϵ = 0.000142 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0013031058645758217, 0.002368051367158089, 0.0019026884642511508, 0.002147100715109347, 0.2706921155555875, 0.3072094629981034] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00065 │ estimated_seconds_left = 0.065 └ ϵ = 0.166 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0012164084816884315, 0.0018917786768568256, 0.0019493343538488552, 0.0021437917579105, 0.3508756055567408, 0.3119023934514571] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0023 │ estimated_seconds_left = 0.45 └ ϵ = 0.124 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0032 │ estimated_seconds_left = 0.32 └ ϵ = 0.147 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0012799598257534118, 0.0022378552709167903, 0.0019482907683219864, 0.0020130612066430378, 0.2847366976177236, 0.2883836543811495] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0016 │ estimated_seconds_left = 0.65 └ ϵ = 0.131 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0031 │ estimated_seconds_left = 0.93 └ ϵ = 0.178 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0026 │ estimated_seconds_left = 0.52 └ ϵ = 0.0907 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0031 │ estimated_seconds_left = 0.3 └ ϵ = 0.0755 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0015389527924581175, 0.0023231689206945844, 0.002205076856244825, 0.0025166612578543268, 0.3007210735365539, 0.31084283675436686] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00047 │ estimated_seconds_left = 0.023 └ ϵ = 0.125 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.003 └ estimated_seconds_left = 3.0 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0046 └ estimated_seconds_left = 4.1 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0047 └ estimated_seconds_left = 3.8 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.005 └ estimated_seconds_left = 3.5 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0048 └ estimated_seconds_left = 2.9 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0043 └ estimated_seconds_left = 2.2 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.005 └ estimated_seconds_left = 2.0 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0046 └ estimated_seconds_left = 1.4 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.0052 └ estimated_seconds_left = 1.0 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.0046 └ estimated_seconds_left = 0.46 Test Summary: | Pass Broken Total Time DynamicHMC | 8 2 10 6m37.0s 398.077193 seconds (200.20 M allocations: 12.524 GiB, 2.87% gc time, 54.70% 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 ┌ 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 = 0.0125 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 ┌ 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 = 0.0015625 ┌ 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 ┌ 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 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 = 0.0125 bayesian_result = MCMC chain (500×19×1 Array{Float64, 3}) Steady state problem ┌ Info: Found initial step size └ ϵ = 0.8 Test Summary: | Pass Total Time Turing | 14 14 7m37.1s 457.069592 seconds (407.59 M allocations: 22.768 GiB, 2.13% gc time, 91.14% compilation time) Starting the test Test Summary: | Pass Total Time Stan_String | 66 66 6.3s 6.340629 seconds (2.21 M allocations: 120.056 MiB, 97.29% compilation time) One parameter case ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/JvjlW/src/utils.jl:121 [ Info: /tmp/jl_O5GOnz/parameter_estimation_model.stan updated. Stan: Error During Test at /home/pkgeval/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 Got exception outside of a @test LoadError: IOError: cd(""): no such file or directory (ENOENT) Stacktrace: [1] _uv_error(prefix::String, c::Int32) @ Base ./libuv.jl:114 [2] unsafe_convert(::Type{Cstring}, s::String) @ Base ./libuv.jl:113 [inlined] [3] cd(dir::String) @ Base.Filesystem ./file.jl:91 [4] cd(f::StanSample.var"#SampleModel##0#SampleModel##1"{IOBuffer, String, String}, dir::String) @ Base.Filesystem ./file.jl:111 [5] StanSample.SampleModel(name::String, model::String, tmpdir::String) @ StanSample ~/.julia/packages/StanSample/X5WDp/src/stanmodel/SampleModel.jl:119 [6] stan_inference(prob::SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, Main.var"##Stan#199".var"##200"{Main.var"##Stan#199".var"###ParameterizedDiffEqFunction#202", Main.var"##Stan#199".var"###ParameterizedTGradFunction#203", Main.var"##Stan#199".var"###ParameterizedJacobianFunction#204", Nothing, Nothing, ModelingToolkit.System}, @Kwargs{}, SciMLBase.StandardODEProblem}, alg::Symbol, t::Vector{Float64}, data::Matrix{Float64}, priors::Vector{Distributions.Truncated{Distributions.Normal{Float64}, Distributions.Continuous, Float64, Float64, Float64}}; stanmodel::Nothing, likelihood::Type, vars::Tuple{DiffEqBayes.StanODEData, Distributions.InverseGamma{Float64}}, sample_u0::Bool, solve_kwargs::Dict{Any, Any}, diffeq_string::Nothing, sample_kwargs::Dict{Symbol, Int64}, output_format::Symbol, print_summary::Bool, tmpdir::String) @ DiffEqBayes ~/.julia/packages/DiffEqBayes/LPQ65/src/stan_inference.jl:244 [7] top-level scope @ ~/.julia/packages/DiffEqBayes/LPQ65/test/stan.jl:23 [8] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:327 [9] top-level scope @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:21 [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [11] macro expansion @ ~/.julia/packages/DiffEqBayes/LPQ65/test/runtests.jl:21 [inlined] [12] eval(m::Module, e::Any) @ Core ./boot.jl:517 [13] macro expansion @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [inlined] [14] macro expansion @ ./timing.jl:739 [inlined] [15] top-level scope @ ~/.julia/packages/DiffEqBayes/LPQ65/test/runtests.jl:20 [16] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:327 [17] top-level scope @ none:6 [18] eval(m::Module, e::Any) @ Core ./boot.jl:517 [19] exec_options(opts::Base.JLOptions) @ Base ./client.jl:318 [20] _start() @ Base ./client.jl:593 in expression starting at /home/pkgeval/.julia/packages/DiffEqBayes/LPQ65/test/stan.jl:23 Test Summary: | Error Total Time Stan | 1 1 19.2s RNG of the outermost testset: Random.Xoshiro(0x545d57c5e589b8a3, 0x2f5b7c98e8362c03, 0x165b943c26fa86ac, 0x1dd3d9ce97df77c6, 0x2304a763882d2472) ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 1 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/DiffEqBayes/LPQ65/test/runtests.jl:16 Testing failed after 895.22s ERROR: LoadError: Package DiffEqBayes errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3162 [3] Cmd(cmd::Cmd) @ Base /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3025 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:586 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [7] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [8] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [10] include(mod::Module, _path::String) @ Base ./Base.jl:326 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:352 [12] _start() @ Base ./client.jl:593 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 2431.58s: package tests unexpectedly errored