Package evaluation to test DiffEqBayes on Julia 1.14.0-DEV.1589 (2d9a3f8a61*) started at 2026-01-21T18:18:15.507 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 9.27s ################################################################################ # Installation # Installing DiffEqBayes... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [ebbdde9d] + DiffEqBayes v3.11.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [621f4979] + AbstractFFTs v1.5.0 [80f14c24] + AbstractMCMC v5.11.0 ⌅ [7a57a42e] + AbstractPPL v0.13.6 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.43 [79e6a3ab] + Adapt v4.4.0 [0bf59076] + AdvancedHMC v0.8.3 [5b7e9947] + AdvancedMH v0.8.9 [576499cb] + AdvancedPS v0.7.2 [b5ca4192] + AdvancedVI v0.6.1 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [ec485272] + ArnoldiMethod v0.4.0 [4fba245c] + ArrayInterface v7.22.0 [4c555306] + ArrayLayouts v1.12.2 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.8 [198e06fe] + BangBang v0.4.6 [9718e550] + Baselet v0.1.1 [e2ed5e7c] + Bijections v0.2.2 [76274a88] + Bijectors v0.15.15 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] + BlockArrays v1.9.3 [70df07ce] + BracketingNonlinearSolve v1.6.2 [2a0fbf3d] + CPUSummary v0.2.7 [336ed68f] + CSV v0.10.15 [082447d4] + ChainRules v1.72.6 [d360d2e6] + ChainRulesCore v1.26.0 [0ca39b1e] + Chairmarks v1.3.1 [9e997f8a] + ChangesOfVariables v0.1.10 [fb6a15b2] + CloseOpenIntervals v0.1.13 [944b1d66] + CodecZlib v0.7.8 ⌅ [861a8166] + Combinatorics v1.0.2 ⌅ [a80b9123] + CommonMark v0.9.1 [38540f10] + CommonSolve v0.2.6 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [5224ae11] + CompatHelperLocal v0.1.27 [b152e2b5] + CompositeTypes v0.1.4 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.6.0 [adafc99b] + CpuId v0.3.1 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.8.1 [864edb3b] + DataStructures v0.19.3 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [b429d917] + DensityInterface v0.4.0 [2b5f629d] + DiffEqBase v6.199.0 [ebbdde9d] + DiffEqBayes v3.11.0 [459566f4] + DiffEqCallbacks v4.12.0 [77a26b50] + DiffEqNoiseProcess v5.26.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.14 [8d63f2c5] + DispatchDoctor v0.4.27 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.123 [ced4e74d] + DistributionsAD v0.6.58 [ffbed154] + DocStringExtensions v0.9.5 [5b8099bc] + DomainSets v0.7.16 [bbc10e6e] + DynamicHMC v3.6.0 [366bfd00] + DynamicPPL v0.39.12 [7c1d4256] + DynamicPolynomials v0.6.4 [06fc5a27] + DynamicQuantities v1.11.0 [cad2338a] + EllipticalSliceSampling v2.0.0 [4e289a0a] + EnumX v1.0.5 [f151be2c] + EnzymeCore v0.8.18 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [b86e33f2] + FFTA v0.3.1 [7034ab61] + FastBroadcast v0.3.5 [9aa1b823] + FastClosures v0.3.2 [a4df4552] + FastPower v1.3.0 [48062228] + FilePathsBase v0.9.24 [1a297f60] + FillArrays v1.16.0 [64ca27bc] + FindFirstFunctions v1.7.0 [6a86dc24] + FiniteDiff v2.29.0 [1fa38f19] + Format v1.3.7 [f6369f11] + ForwardDiff v1.3.1 [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 v1.13.3 [34004b35] + HypergeometricFunctions v0.3.28 [615f187c] + IfElse v0.1.1 [3263718b] + ImplicitDiscreteSolve v1.6.0 [d25df0c9] + Inflate v0.1.5 [22cec73e] + InitialValues v0.3.1 [842dd82b] + InlineStrings v1.4.5 [18e54dd8] + IntegerMathUtils v0.1.3 [a98d9a8b] + Interpolations v0.16.2 [8197267c] + IntervalSets v0.7.13 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 ⌅ [682c06a0] + JSON v0.21.4 [ae98c720] + Jieko v0.2.1 [98e50ef6] + JuliaFormatter v2.2.0 ⌅ [70703baa] + JuliaSyntax v0.4.10 [ccbc3e58] + JumpProcesses v9.21.0 [5ab0869b] + KernelDensity v0.6.11 [ba0b0d4f] + Krylov v0.10.4 [b964fa9f] + LaTeXStrings v1.4.0 [2ee39098] + LabelledArrays v1.17.0 [23fbe1c1] + Latexify v0.16.10 [10f19ff3] + LayoutPointers v0.1.17 [1fad7336] + LazyStack v0.1.3 [1d6d02ad] + LeftChildRightSiblingTrees v0.2.1 [6f1fad26] + Libtask v0.9.10 [87fe0de2] + LineSearch v0.1.6 ⌃ [d3d80556] + LineSearches v7.5.1 [7ed4a6bd] + LinearSolve v3.57.0 [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 v0.3.15 [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 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [dbe65cb8] + MistyClosures v2.1.0 ⌅ [961ee093] + ModelingToolkit v10.31.2 [2e0e35c7] + Moshi v0.3.7 [46d2c3a1] + MuladdMacro v0.2.4 [102ac46a] + MultivariatePolynomials v0.5.13 [d8a4904e] + MutableArithmetics v1.6.7 ⌅ [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 [86f7a689] + NamedArrays v0.10.5 [d9ec5142] + NamedTupleTools v0.14.3 [c020b1a1] + NaturalSort v1.0.0 [be0214bd] + NonlinearSolveBase v2.9.2 [5959db7a] + NonlinearSolveFirstOrder v1.11.0 [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 v3.2.0 [90014a1f] + PDMats v0.11.37 [65ce6f38] + PackageExtensionCompat v1.0.2 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.3 [e409e4f3] + PoissonRandom v0.4.7 [f517fe37] + Polyester v0.7.18 [1d0040c9] + PolyesterWeave v0.2.2 [2dfb63ee] + PooledArrays v1.4.3 [85a6dd25] + PositiveFactorizations v0.2.4 ⌅ [d236fae5] + PreallocationTools v0.4.34 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [08abe8d2] + PrettyTables v3.1.2 [27ebfcd6] + Primes v0.5.7 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [b3c3ace0] + RangeArrays v0.3.2 [c84ed2f1] + Ratios v0.4.5 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.44.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [ae5879a3] + ResettableStacks v1.2.0 [79098fc4] + Rmath v0.9.0 [f2b01f46] + Roots v2.2.10 [7e49a35a] + RuntimeGeneratedFunctions v0.5.16 [9dfe8606] + SCCNonlinearSolve v1.9.0 [94e857df] + SIMDTypes v0.1.0 [26aad666] + SSMProblems v0.6.1 [0bca4576] + SciMLBase v2.134.0 [19f34311] + SciMLJacobianOperators v0.1.12 [a6db7da4] + SciMLLogging v1.8.0 [c0aeaf25] + SciMLOperators v1.14.1 [431bcebd] + SciMLPublic v1.0.1 [53ae85a6] + SciMLStructures v1.10.0 [30f210dd] + ScientificTypesBase v3.0.0 [91c51154] + SentinelArrays v1.4.9 [efcf1570] + Setfield v1.1.2 [727e6d20] + SimpleNonlinearSolve v2.10.0 [699a6c99] + SimpleTraits v0.9.5 [a2af1166] + SortingAlgorithms v1.2.2 [9f842d2f] + SparseConnectivityTracer v1.1.3 [dc90abb0] + SparseInverseSubset v0.1.2 [0a514795] + SparseMatrixColorings v0.4.23 [276daf66] + SpecialFunctions v2.6.1 [171d559e] + SplittablesBase v0.1.15 [d0ee94f6] + StanBase v4.12.2 ⌃ [c1514b29] + StanSample v7.1.1 [aedffcd0] + Static v1.3.1 [0d7ed370] + StaticArrayInterface v1.8.0 [90137ffa] + StaticArrays v1.9.16 [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 v0.5.8 [5e0ebb24] + Strided v2.3.2 [4db3bf67] + StridedViews v0.4.3 [892a3eda] + StringManipulation v0.4.2 [09ab397b] + StructArrays v0.7.2 [2efcf032] + SymbolicIndexingInterface v0.3.46 ⌅ [19f23fe9] + SymbolicLimits v0.2.3 ⌅ [d1185830] + SymbolicUtils v3.32.0 ⌅ [0c5d862f] + Symbolics v6.58.0 [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 [28d57a85] + Transducers v0.4.85 [84d833dd] + TransformVariables v0.8.19 [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 v0.42.4 [5c2747f8] + URIs v1.6.1 [3a884ed6] + UnPack v1.0.2 [1986cc42] + Unitful v1.27.0 [a7c27f48] + Unityper v0.1.6 [ea10d353] + WeakRefStrings v1.4.2 [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 v3.1.4+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 v1.3.0+1 [deac9b47] + LibCURL_jll v8.18.0+0 [e37daf67] + LibGit2_jll v1.9.2+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.68.0+1 [3f19e933] + p7zip_jll v17.7.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 8.09s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 14262.9 ms ✓ StanSample 2372.2 ms ✓ TransformVariables → ChangesOfVariablesExt 6144.2 ms ✓ AbstractPPL → AbstractPPLDistributionsExt 8533.2 ms ✓ SymbolicUtils → SymbolicUtilsLabelledArraysExt 38799.9 ms ✓ OptimizationOptimJL 54660.4 ms ✓ OrdinaryDiffEqFIRK 12657.4 ms ✓ OrdinaryDiffEqIMEXMultistep 12573.6 ms ✓ OrdinaryDiffEqStabilizedIRK 14375.1 ms ✓ OrdinaryDiffEqPDIRK 58039.8 ms ✓ ModelingToolkit → MTKLabelledArraysExt 62221.5 ms ✓ ParameterizedFunctions 34037.5 ms ✓ OrdinaryDiffEqBDF 20946.9 ms ✓ DynamicPPL 76835.9 ms ✓ OrdinaryDiffEqDefault 6920.3 ms ✓ DynamicPPL → DynamicPPLChainRulesCoreExt 10453.8 ms ✓ DynamicPPL → DynamicPPLMCMCChainsExt 6410.8 ms ✓ DynamicPPL → DynamicPPLForwardDiffExt 6635.5 ms ✓ DynamicPPL → DynamicPPLEnzymeCoreExt 25973.2 ms ✓ OrdinaryDiffEq 18405.0 ms ✓ Turing 27410.6 ms ✓ AdvancedHMC → AdvancedHMCOrdinaryDiffEqExt 17057.0 ms ✓ Turing → TuringDynamicHMCExt ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 97248.4 ms ✓ DiffEqBayes 23 dependencies successfully precompiled in 671 seconds. 506 already precompiled. 2 dependencies had output during precompilation: ┌ DiffEqBayes │ ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. │ └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 └ ┌ StanSample │ ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. │ └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 └ Precompilation completed after 654.84s ################################################################################ # Testing # Testing DiffEqBayes Status `/tmp/jl_4vmWhv/Project.toml` [47edcb42] ADTypes v1.21.0 [2b5f629d] DiffEqBase v6.199.0 [ebbdde9d] DiffEqBayes v3.11.0 [163ba53b] DiffResults v1.1.0 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.123 [ffbed154] DocStringExtensions v0.9.5 [bbc10e6e] DynamicHMC v3.6.0 [f6369f11] ForwardDiff v1.3.1 [2ee39098] LabelledArrays v1.17.0 [996a588d] LogDensityProblemsAD v1.13.1 [1914dd2f] MacroTools v0.5.16 [e1d29d7a] Missings v1.2.0 ⌅ [961ee093] ModelingToolkit v10.31.2 ⌅ [429524aa] Optim v1.13.3 [1dea7af3] OrdinaryDiffEq v6.106.0 [90014a1f] PDMats v0.11.37 ⌃ [65888b18] ParameterizedFunctions v5.19.0 [d96e819e] Parameters v0.12.3 [731186ca] RecursiveArrayTools v3.44.0 [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 v2.9.0 [09ab397b] StructArrays v0.7.2 [84d833dd] TransformVariables v0.8.19 [f9bc47f6] TransformedLogDensities v1.1.1 [fce5fe82] Turing v0.42.4 [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_4vmWhv/Manifest.toml` [47edcb42] ADTypes v1.21.0 [621f4979] AbstractFFTs v1.5.0 [80f14c24] AbstractMCMC v5.11.0 ⌅ [7a57a42e] AbstractPPL v0.13.6 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.4.0 [0bf59076] AdvancedHMC v0.8.3 [5b7e9947] AdvancedMH v0.8.9 [576499cb] AdvancedPS v0.7.2 [b5ca4192] AdvancedVI v0.6.1 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.22.0 [4c555306] ArrayLayouts v1.12.2 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.8 [198e06fe] BangBang v0.4.6 [9718e550] Baselet v0.1.1 [e2ed5e7c] Bijections v0.2.2 [76274a88] Bijectors v0.15.15 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] BlockArrays v1.9.3 [70df07ce] BracketingNonlinearSolve v1.6.2 [2a0fbf3d] CPUSummary v0.2.7 [336ed68f] CSV v0.10.15 [082447d4] ChainRules v1.72.6 [d360d2e6] ChainRulesCore v1.26.0 [0ca39b1e] Chairmarks v1.3.1 [9e997f8a] ChangesOfVariables v0.1.10 [fb6a15b2] CloseOpenIntervals v0.1.13 [944b1d66] CodecZlib v0.7.8 ⌅ [861a8166] Combinatorics v1.0.2 ⌅ [a80b9123] CommonMark v0.9.1 [38540f10] CommonSolve v0.2.6 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [5224ae11] CompatHelperLocal v0.1.27 [b152e2b5] CompositeTypes v0.1.4 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [88cd18e8] ConsoleProgressMonitor v0.1.2 [187b0558] ConstructionBase v1.6.0 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] 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[bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 [3f19e933] p7zip_jll v17.7.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/Ay2JZ/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 = 0.00015 │ estimated_seconds_left = 0.011 └ 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/c9FfR/src/integrator_interface.jl:635 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00011 │ estimated_seconds_left = 0.0027 └ ϵ = 0.000471 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00014348933562086043, 0.10765553745095856, 0.08746507935102776] ┌ 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 = 0.000123 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00016617738260523563, 0.2421902362026114, 0.27335174018826164] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00011 │ estimated_seconds_left = 0.011 └ ϵ = 0.895 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0001492378858291687, 0.24637049612310793, 0.2656754060057909] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00011 │ estimated_seconds_left = 0.022 └ ϵ = 0.685 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00029 │ estimated_seconds_left = 0.028 └ ϵ = 0.502 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00016116513172335185, 0.28125652451664923, 0.288100196995145] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0001 │ estimated_seconds_left = 0.042 └ ϵ = 0.767 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00031 │ estimated_seconds_left = 0.093 └ ϵ = 0.501 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00025 │ estimated_seconds_left = 0.049 └ ϵ = 0.586 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00025 │ estimated_seconds_left = 0.024 └ ϵ = 0.687 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0001719987081232009, 0.2852330770719138, 0.22417998494578223] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00011 │ estimated_seconds_left = 0.0052 └ ϵ = 0.789 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00014 └ estimated_seconds_left = 0.14 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00089 └ estimated_seconds_left = 0.8 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00031 └ estimated_seconds_left = 0.25 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00031 └ estimated_seconds_left = 0.21 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00032 └ estimated_seconds_left = 0.19 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00033 └ estimated_seconds_left = 0.16 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00032 └ estimated_seconds_left = 0.13 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00034 └ estimated_seconds_left = 0.1 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00034 └ estimated_seconds_left = 0.068 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00037 └ estimated_seconds_left = 0.036 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ Info: found initial stepsize └ ϵ = 0.0125 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00013 │ estimated_seconds_left = 0.0098 └ ϵ = 0.0125 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.039 │ estimated_seconds_left = 0.94 └ ϵ = 0.000246 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0010615717119830555, 0.003778795146153987, 0.0004255277502024902, 0.114675456358231, 0.1010649046301027] ┌ 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 = 0.000196 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0012918458231047127, 0.0034713225648933745, 0.0004375456365414931, 0.23856370437716595, 0.23415522234082484] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.001 │ estimated_seconds_left = 0.099 └ ϵ = 0.261 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0016754731627400751, 0.003258799661254408, 0.0005785543658851722, 0.24463468398635427, 0.27683844103265304] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0005 │ estimated_seconds_left = 0.1 └ ϵ = 0.221 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0014 │ estimated_seconds_left = 0.14 └ ϵ = 0.298 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0017157760461580518, 0.003360700028829596, 0.0006018220025342935, 0.2818770131151529, 0.3023587733940863] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00047 │ estimated_seconds_left = 0.19 └ ϵ = 0.226 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0011 │ estimated_seconds_left = 0.33 └ ϵ = 0.219 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00095 │ estimated_seconds_left = 0.19 └ ϵ = 0.185 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0012 │ estimated_seconds_left = 0.12 └ ϵ = 0.262 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0013919555454768565, 0.002973987157723534, 0.0004975879560525356, 0.27153687835484797, 0.26840301802228395] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0001 │ estimated_seconds_left = 0.005 └ ϵ = 0.212 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00021 └ estimated_seconds_left = 0.21 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0012 └ estimated_seconds_left = 1.1 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0011 └ estimated_seconds_left = 0.86 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0011 └ estimated_seconds_left = 0.79 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0012 └ estimated_seconds_left = 0.73 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0011 └ estimated_seconds_left = 0.57 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.0012 └ estimated_seconds_left = 0.5 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0013 └ estimated_seconds_left = 0.38 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.0011 └ estimated_seconds_left = 0.22 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.0012 └ estimated_seconds_left = 0.12 ┌ Info: found initial stepsize └ ϵ = 0.2 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00017 │ estimated_seconds_left = 0.013 └ 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/c9FfR/src/integrator_interface.jl:635 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 4.9e-5 │ estimated_seconds_left = 0.0012 └ ϵ = 0.00981 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0020649228518188657, 0.19191289464173814] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.03 │ estimated_seconds_left = 1.4 └ ϵ = 0.00264 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008478447052753968, 0.850187646179863] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00035 │ estimated_seconds_left = 0.035 └ ϵ = 0.111 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00018712515054711886, 0.2223432764749826] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00075 │ estimated_seconds_left = 0.15 └ ϵ = 0.211 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00037 │ estimated_seconds_left = 0.036 └ ϵ = 0.85 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00023601221298242276, 0.2469207348523798] ┌ 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 = 0.046 └ ϵ = 0.994 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00032 │ estimated_seconds_left = 0.097 └ ϵ = 0.7 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00026 │ estimated_seconds_left = 0.051 └ ϵ = 1.16 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00023 │ estimated_seconds_left = 0.023 └ ϵ = 0.96 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00024307350110045416, 0.2637865829488152] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00011 │ estimated_seconds_left = 0.0053 └ ϵ = 0.828 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00011 └ estimated_seconds_left = 0.11 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00031 └ estimated_seconds_left = 0.28 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00028 └ estimated_seconds_left = 0.22 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00033 └ 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 = 0.00034 └ estimated_seconds_left = 0.17 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00032 └ estimated_seconds_left = 0.13 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0014 └ estimated_seconds_left = 0.42 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00031 └ estimated_seconds_left = 0.062 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00029 └ estimated_seconds_left = 0.029 ┌ 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/woaRt/src/initdt.jl:147 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ Info: found initial stepsize └ ϵ = 0.00156 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 5.7e-5 │ estimated_seconds_left = 0.0042 └ ϵ = 0.00156 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.014 │ estimated_seconds_left = 0.34 └ ϵ = 0.000522 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0007505016377995316, 0.0003128063270476674, 0.06341995505638946] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.066 │ estimated_seconds_left = 3.2 └ ϵ = 0.00027 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008797987076985159, 0.00034268375894760353, 0.20659473599548028] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00024 │ estimated_seconds_left = 0.024 └ ϵ = 0.591 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008348712527157393, 0.000321516837068593, 0.2737312760384422] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00012 │ estimated_seconds_left = 0.024 └ ϵ = 0.483 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00052 │ estimated_seconds_left = 0.052 └ ϵ = 0.534 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008958534777027775, 0.0003234341121126119, 0.2552960314826979] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00023 │ estimated_seconds_left = 0.093 └ ϵ = 0.441 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00045 │ estimated_seconds_left = 0.14 └ ϵ = 0.284 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00046 │ estimated_seconds_left = 0.092 └ ϵ = 0.539 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00039 │ estimated_seconds_left = 0.039 └ ϵ = 0.736 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008257091168628337, 0.00030170673681459496, 0.24008539172610613] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00021 │ estimated_seconds_left = 0.01 └ ϵ = 0.511 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00023 └ estimated_seconds_left = 0.23 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00058 └ estimated_seconds_left = 0.52 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00058 └ estimated_seconds_left = 0.46 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00055 └ estimated_seconds_left = 0.39 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00092 └ estimated_seconds_left = 0.55 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00049 └ estimated_seconds_left = 0.25 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00055 └ estimated_seconds_left = 0.22 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00061 └ estimated_seconds_left = 0.18 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00059 └ estimated_seconds_left = 0.12 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00053 └ estimated_seconds_left = 0.052 ┌ 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/gFKkQ/test/dynamicHMC.jl:77 ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/Ay2JZ/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/woaRt/src/initdt.jl:147 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00015 │ 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/woaRt/src/initdt.jl:147 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.041 │ estimated_seconds_left = 0.98 └ ϵ = 0.000219 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0011839426650402972, 0.0022600151635375964, 0.0016883210765142476, 0.0019163153213386376, 0.08032686867291451, 0.0515515645461656] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.052 │ estimated_seconds_left = 2.6 └ ϵ = 4.24e-5 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0011325435934523276, 0.0019164678282428708, 0.0016528874606144646, 0.0017481021972382696, 0.38635891383006177, 0.3942327247999955] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0026 │ estimated_seconds_left = 0.26 └ ϵ = 0.0378 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008456448286989057, 0.0011821089318552129, 0.0011811751106314298, 0.00145224403751648, 0.3121512060052344, 0.2936600926830318] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0018 │ estimated_seconds_left = 0.35 └ ϵ = 0.081 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.008 │ estimated_seconds_left = 0.79 └ ϵ = 0.062 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008044271697060304, 0.0012181922862553628, 0.0011730333819929943, 0.0012336231074209641, 0.3033147716992804, 0.3225626810397611] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0027 │ estimated_seconds_left = 1.1 └ ϵ = 0.0742 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0034 │ estimated_seconds_left = 1.0 └ ϵ = 0.114 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0024 │ estimated_seconds_left = 0.48 └ ϵ = 0.0554 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0033 │ estimated_seconds_left = 0.33 └ ϵ = 0.107 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008592270346015305, 0.0013325310196873755, 0.0012583951927009039, 0.0013604882918159273, 0.28504829381739905, 0.2990549361466986] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0012 │ estimated_seconds_left = 0.061 └ ϵ = 0.11 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0026 └ estimated_seconds_left = 2.6 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0054 └ estimated_seconds_left = 4.8 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0051 └ estimated_seconds_left = 4.1 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0055 └ estimated_seconds_left = 3.9 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0054 └ estimated_seconds_left = 3.3 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0056 └ estimated_seconds_left = 2.8 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.0052 └ estimated_seconds_left = 2.1 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.0053 └ estimated_seconds_left = 1.6 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.0048 └ estimated_seconds_left = 0.95 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.0052 └ estimated_seconds_left = 0.51 Test Summary: | Pass Broken Total Time DynamicHMC | 8 2 10 5m44.4s 345.329001 seconds (190.00 M allocations: 12.277 GiB, 2.93% gc time, 56.52% 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/Ay2JZ/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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 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/XBmfQ/src/sample.jl:432 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ Info: Found initial step size └ ϵ = 4.8828125e-5 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 ┌ 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/c9FfR/src/integrator_interface.jl:635 Four parameter case ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/Ay2JZ/src/utils.jl:121 ┌ Info: Found initial step size └ ϵ = 0.025 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 7m43.3s 463.311217 seconds (407.10 M allocations: 22.390 GiB, 2.42% gc time, 90.89% compilation time) Starting the test Test Summary: | Pass Total Time Stan_String | 66 66 6.1s 6.150805 seconds (2.20 M allocations: 122.220 MiB, 97.16% compilation time) One parameter case ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/Ay2JZ/src/utils.jl:121 ┌ Warning: build_function(::Array{<:Equation}...) is deprecated. Use build_function(::AbstractArray...) instead. └ @ Symbolics ~/.julia/packages/Symbolics/T2Tbs/src/build_function.jl:880 [ Info: /tmp/jl_McHl0F/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] uv_error @ ./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#198".var"##199"{Main.var"##Stan#198".var"###ParameterizedDiffEqFunction#201", Main.var"##Stan#198".var"###ParameterizedTGradFunction#202", Main.var"##Stan#198".var"###ParameterizedJacobianFunction#203", 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/gFKkQ/src/stan_inference.jl:243 [7] kwcall(::@NamedTuple{sample_kwargs::Dict{Symbol, Int64}, likelihood::UnionAll}, ::typeof(DiffEqBayes.stan_inference), prob::SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Vector{Float64}, Main.var"##Stan#198".var"##199"{Main.var"##Stan#198".var"###ParameterizedDiffEqFunction#201", Main.var"##Stan#198".var"###ParameterizedTGradFunction#202", Main.var"##Stan#198".var"###ParameterizedJacobianFunction#203", 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}}) @ DiffEqBayes ~/.julia/packages/DiffEqBayes/gFKkQ/src/stan_inference.jl:57 [8] top-level scope @ ~/.julia/packages/DiffEqBayes/gFKkQ/test/stan.jl:23 [9] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [10] top-level scope @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:21 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2243 [inlined] [12] macro expansion @ ~/.julia/packages/DiffEqBayes/gFKkQ/test/runtests.jl:21 [inlined] [13] eval(m::Module, e::Any) @ Core ./boot.jl:489 [14] macro expansion @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [inlined] [15] macro expansion @ ./timing.jl:739 [inlined] [16] top-level scope @ ~/.julia/packages/DiffEqBayes/gFKkQ/test/runtests.jl:20 [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [18] top-level scope @ none:6 [19] eval(m::Module, e::Any) @ Core ./boot.jl:489 [20] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [21] _start() @ Base ./client.jl:585 in expression starting at /home/pkgeval/.julia/packages/DiffEqBayes/gFKkQ/test/stan.jl:23 Test Summary: | Error Total Time Stan | 1 1 22.2s RNG of the outermost testset: Random.Xoshiro(0x70670330ed040212, 0x3c72663600ac3c22, 0xd6be1f4e7bdfcf41, 0x5435f071680e0809, 0xa4ee657532c9fafc) ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 1 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/DiffEqBayes/gFKkQ/test/runtests.jl:16 Testing failed after 850.03s 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:3122 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:2987 [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:572 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:548 [6] 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 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [12] include(mod::Module, _path::String) @ Base ./Base.jl:309 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [14] _start() @ Base ./client.jl:585 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 1580.53s: package tests unexpectedly errored