Package evaluation to test DiffEqBayes on Julia 1.14.0-DEV.1730 (9c1e1fa299*) started at 2026-02-18T03:03:54.815 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 12.19s ################################################################################ # 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 v5.14.0 ⌅ [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 v0.8.10 [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 v7.22.0 [4c555306] + ArrayLayouts v1.12.2 [13072b0f] + AxisAlgorithms v1.1.0 [39de3d68] + AxisArrays v0.4.8 [198e06fe] + BangBang v0.4.8 [9718e550] + Baselet v0.1.1 [e2ed5e7c] + Bijections v0.2.2 [76274a88] + Bijectors v0.15.16 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] + BlockArrays v1.9.3 [70df07ce] + BracketingNonlinearSolve v1.7.0 [2a0fbf3d] + CPUSummary v0.2.7 [336ed68f] + CSV v0.10.15 [082447d4] + ChainRules v1.73.0 [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 v0.10.3 [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 v1.8.1 [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 v6.203.0 [ebbdde9d] + DiffEqBayes v3.11.0 [459566f4] + DiffEqCallbacks v4.12.0 [77a26b50] + DiffEqNoiseProcess v5.27.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.16 [8d63f2c5] + DispatchDoctor v0.4.28 [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 v0.39.13 [7c1d4256] + DynamicPolynomials v0.6.4 [06fc5a27] + DynamicQuantities v1.11.0 [cad2338a] + EllipticalSliceSampling v2.0.0 [4e289a0a] + EnumX v1.0.6 [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 v1.3.1 [48062228] + FilePathsBase v0.9.24 [1a297f60] + FillArrays v1.16.0 [64ca27bc] + FindFirstFunctions v1.8.0 [6a86dc24] + FiniteDiff v2.29.0 [1fa38f19] + Format v1.3.7 [f6369f11] + ForwardDiff v1.3.2 [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 v1.13.4 [34004b35] + HypergeometricFunctions v0.3.28 [615f187c] + IfElse v0.1.1 [3263718b] + ImplicitDiscreteSolve v1.7.0 [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 v2.3.0 ⌅ [70703baa] + JuliaSyntax v0.4.10 [ccbc3e58] + JumpProcesses v9.21.2 [5ab0869b] + KernelDensity v0.6.11 [ba0b0d4f] + Krylov v0.10.5 [b964fa9f] + LaTeXStrings v1.4.0 [2ee39098] + LabelledArrays v1.18.0 [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 v3.58.0 [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 v0.3.16 [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 v10.32.1 [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 v2.11.2 ⌅ [5959db7a] + NonlinearSolveFirstOrder v1.11.1 [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 v3.5.1 [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 v0.7.19 [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 v1.5.1 [08abe8d2] + PrettyTables v3.2.3 [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 v3.48.0 [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 v0.5.17 [9dfe8606] + SCCNonlinearSolve v1.10.0 [94e857df] + SIMDTypes v0.1.0 [26aad666] + SSMProblems v0.6.1 [0bca4576] + SciMLBase v2.138.1 [19f34311] + SciMLJacobianOperators v0.1.12 [a6db7da4] + SciMLLogging v1.8.0 [c0aeaf25] + SciMLOperators v1.15.1 [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 v2.10.0 [699a6c99] + SimpleTraits v0.9.5 [a2af1166] + SortingAlgorithms v1.2.2 [9f842d2f] + SparseConnectivityTracer v1.2.1 [dc90abb0] + SparseInverseSubset v0.1.2 [0a514795] + SparseMatrixColorings v0.4.23 [276daf66] + SpecialFunctions v2.7.1 [171d559e] + SplittablesBase v0.1.15 [d0ee94f6] + StanBase v4.12.2 ⌃ [c1514b29] + StanSample v7.1.1 [aedffcd0] + Static v1.3.1 [0d7ed370] + StaticArrayInterface v1.9.0 [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 v0.42.8 [5c2747f8] + URIs v1.6.1 [3a884ed6] + UnPack v1.0.2 [1986cc42] + Unitful v1.28.0 [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 v0.3.30+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.5+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 8.53s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 8675.8 ms ✓ OptimizationBase ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 12362.9 ms ✓ StanSample 4536.5 ms ✓ AbstractPPL 2072.0 ms ✓ TransformVariables → ChangesOfVariablesExt 5101.9 ms ✓ Bijectors → BijectorsEnzymeCoreExt 58844.6 ms ✓ Symbolics 7719.6 ms ✓ SymbolicUtils → SymbolicUtilsLabelledArraysExt 8313.7 ms ✓ DiffEqNoiseProcess → DiffEqNoiseProcessOptimExt 28757.9 ms ✓ AdvancedHMC → AdvancedHMCOrdinaryDiffEqExt 5394.6 ms ✓ Optimization 41232.4 ms ✓ OptimizationOptimJL 5614.1 ms ✓ AbstractPPL → AbstractPPLDistributionsExt 15299.7 ms ✓ Symbolics → SymbolicsForwardDiffExt 14439.4 ms ✓ DifferentiationInterface → DifferentiationInterfaceSymbolicsExt 19828.5 ms ✓ DynamicPPL 14461.2 ms ✓ Symbolics → SymbolicsPreallocationToolsExt 308334.1 ms ✓ ModelingToolkit 6427.3 ms ✓ DynamicPPL → DynamicPPLChainRulesCoreExt 9626.4 ms ✓ DynamicPPL → DynamicPPLMCMCChainsExt 5772.6 ms ✓ DynamicPPL → DynamicPPLForwardDiffExt 5908.9 ms ✓ DynamicPPL → DynamicPPLEnzymeCoreExt 59260.3 ms ✓ ModelingToolkit → MTKLabelledArraysExt 62250.9 ms ✓ ParameterizedFunctions 19094.5 ms ✓ Turing 17023.2 ms ✓ Turing → TuringDynamicHMCExt ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 104285.3 ms ✓ DiffEqBayes 26 dependencies successfully precompiled in 860 seconds. 504 already precompiled. 2 dependencies had output during precompilation: ┌ StanSample │ ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. │ └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 └ ┌ DiffEqBayes │ ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. │ └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 └ Precompilation completed after 879.5s ################################################################################ # Testing # Testing DiffEqBayes Status `/tmp/jl_0RdYz8/Project.toml` [47edcb42] ADTypes v1.21.0 [2b5f629d] DiffEqBase v6.203.0 [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 v1.3.2 [2ee39098] LabelledArrays v1.18.0 [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 v6.108.0 [90014a1f] PDMats v0.11.37 ⌃ [65888b18] ParameterizedFunctions v5.19.0 [d96e819e] Parameters v0.12.3 [731186ca] RecursiveArrayTools v3.48.0 [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 v0.42.8 [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_0RdYz8/Manifest.toml` [47edcb42] ADTypes v1.21.0 [621f4979] AbstractFFTs v1.5.0 [80f14c24] AbstractMCMC v5.14.0 ⌅ [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 v0.8.10 [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 v7.22.0 [4c555306] ArrayLayouts v1.12.2 [13072b0f] AxisAlgorithms v1.1.0 [39de3d68] AxisArrays v0.4.8 [198e06fe] BangBang v0.4.8 [9718e550] Baselet v0.1.1 [e2ed5e7c] Bijections v0.2.2 [76274a88] Bijectors v0.15.16 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] BlockArrays v1.9.3 [70df07ce] BracketingNonlinearSolve v1.7.0 [2a0fbf3d] CPUSummary v0.2.7 [336ed68f] CSV v0.10.15 [082447d4] ChainRules v1.73.0 [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 v0.10.3 [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 v1.8.1 [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 v6.203.0 [ebbdde9d] DiffEqBayes v3.11.0 [459566f4] DiffEqCallbacks v4.12.0 [77a26b50] DiffEqNoiseProcess v5.27.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.16 [8d63f2c5] DispatchDoctor v0.4.28 [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 v0.39.13 [7c1d4256] DynamicPolynomials v0.6.4 [06fc5a27] DynamicQuantities v1.11.0 [cad2338a] EllipticalSliceSampling v2.0.0 [4e289a0a] EnumX v1.0.6 [f151be2c] EnzymeCore v0.8.18 [d4d017d3] ExponentialUtilities v1.30.0 [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 [442a2c76] FastGaussQuadrature v1.1.0 [a4df4552] FastPower v1.3.1 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.16.0 [64ca27bc] FindFirstFunctions v1.8.0 [6a86dc24] FiniteDiff v2.29.0 [1fa38f19] Format v1.3.7 [f6369f11] ForwardDiff v1.3.2 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [d9f16b24] Functors v0.5.2 [46192b85] GPUArraysCore v0.2.0 [c145ed77] GenericSchur v0.5.6 [c27321d9] Glob v1.4.0 [86223c79] Graphs v1.13.4 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [3263718b] ImplicitDiscreteSolve v1.7.0 [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 v2.3.0 ⌅ [70703baa] JuliaSyntax v0.4.10 [ccbc3e58] JumpProcesses v9.21.2 [5ab0869b] KernelDensity v0.6.11 [ba0b0d4f] Krylov v0.10.5 [b964fa9f] LaTeXStrings v1.4.0 [2ee39098] LabelledArrays v1.18.0 [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 v3.58.0 [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 v0.3.16 [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 v10.32.1 [2e0e35c7] Moshi v0.3.7 [46d2c3a1] MuladdMacro v0.2.4 [102ac46a] MultivariatePolynomials v0.5.13 [d8a4904e] MutableArithmetics v1.6.7 ⌅ [d41bc354] NLSolversBase v7.10.0 [77ba4419] NaNMath v1.1.3 [86f7a689] NamedArrays v0.10.5 [d9ec5142] NamedTupleTools v0.14.3 [c020b1a1] NaturalSort v1.0.0 ⌃ [8913a72c] NonlinearSolve v4.15.0 ⌃ [be0214bd] NonlinearSolveBase v2.11.2 ⌅ [5959db7a] NonlinearSolveFirstOrder v1.11.1 [9a2c21bd] NonlinearSolveQuasiNewton v1.12.0 [26075421] NonlinearSolveSpectralMethods v1.6.0 [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 [1dea7af3] OrdinaryDiffEq v6.108.0 [89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.9.0 [6ad6398a] OrdinaryDiffEqBDF v1.16.0 [bbf590c4] OrdinaryDiffEqCore v3.5.1 [50262376] OrdinaryDiffEqDefault v1.12.0 [4302a76b] OrdinaryDiffEqDifferentiation v2.0.0 [9286f039] OrdinaryDiffEqExplicitRK v1.9.0 [e0540318] OrdinaryDiffEqExponentialRK v1.13.0 [becaefa8] OrdinaryDiffEqExtrapolation v1.15.0 [5960d6e9] OrdinaryDiffEqFIRK v1.22.0 [101fe9f7] OrdinaryDiffEqFeagin v1.8.0 [d3585ca7] OrdinaryDiffEqFunctionMap v1.9.0 [d28bc4f8] OrdinaryDiffEqHighOrderRK v1.9.0 [9f002381] OrdinaryDiffEqIMEXMultistep v1.12.0 [521117fe] OrdinaryDiffEqLinear v1.10.0 [1344f307] OrdinaryDiffEqLowOrderRK v1.10.0 [b0944070] OrdinaryDiffEqLowStorageRK v1.12.0 [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.20.0 [c9986a66] OrdinaryDiffEqNordsieck v1.9.0 [5dd0a6cf] OrdinaryDiffEqPDIRK v1.11.0 [5b33eab2] OrdinaryDiffEqPRK v1.8.0 [04162be5] OrdinaryDiffEqQPRK v1.8.0 [af6ede74] OrdinaryDiffEqRKN v1.9.0 [43230ef6] OrdinaryDiffEqRosenbrock v1.23.0 [2d112036] OrdinaryDiffEqSDIRK v1.12.0 [669c94d9] OrdinaryDiffEqSSPRK v1.11.0 [e3e12d00] OrdinaryDiffEqStabilizedIRK v1.11.0 [358294b1] OrdinaryDiffEqStabilizedRK v1.8.0 [fa646aed] OrdinaryDiffEqSymplecticRK v1.11.0 [b1df2697] OrdinaryDiffEqTsit5 v1.9.0 [79d7bb75] OrdinaryDiffEqVerner v1.11.0 [90014a1f] PDMats v0.11.37 [65ce6f38] PackageExtensionCompat v1.0.2 ⌃ [65888b18] ParameterizedFunctions v5.19.0 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [e409e4f3] PoissonRandom v0.4.7 [f517fe37] Polyester v0.7.19 [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 v1.5.1 [08abe8d2] PrettyTables v3.2.3 [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 v3.48.0 [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 v0.5.17 [9dfe8606] SCCNonlinearSolve v1.10.0 [94e857df] SIMDTypes v0.1.0 [26aad666] SSMProblems v0.6.1 [1bc83da4] SafeTestsets v0.1.0 [0bca4576] SciMLBase v2.138.1 [19f34311] SciMLJacobianOperators v0.1.12 [a6db7da4] SciMLLogging v1.8.0 [c0aeaf25] SciMLOperators v1.15.1 [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 v2.10.0 [699a6c99] SimpleTraits v0.9.5 [a2af1166] SortingAlgorithms v1.2.2 [9f842d2f] SparseConnectivityTracer v1.2.1 [dc90abb0] SparseInverseSubset v0.1.2 [0a514795] SparseMatrixColorings v0.4.23 [276daf66] SpecialFunctions v2.7.1 [171d559e] SplittablesBase v0.1.15 [d0ee94f6] StanBase v4.12.2 ⌃ [c1514b29] StanSample v7.1.1 [aedffcd0] Static v1.3.1 [0d7ed370] StaticArrayInterface v1.9.0 [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 [9672c7b4] SteadyStateDiffEq v2.9.0 [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 v0.42.8 [5c2747f8] URIs v1.6.1 [3a884ed6] UnPack v1.0.2 [1986cc42] Unitful v1.28.0 [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 v0.3.30+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.5+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 [3f19e933] p7zip_jll v17.7.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... ┌ Warning: Environment variable CMDSTAN_HOME not set. Use set_cmdstan_home!. └ @ StanBase ~/.julia/packages/StanBase/IgV1g/src/StanBase.jl:52 ┌ Warning: Independent variable t should be defined with @independent_variables t. └ @ ModelingToolkit ~/.julia/packages/ModelingToolkit/JvjlW/src/utils.jl:121 ┌ Info: found initial stepsize └ ϵ = 0.025 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00019 │ estimated_seconds_left = 0.014 └ ϵ = 0.025 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.029 │ estimated_seconds_left = 0.69 └ ϵ = 0.000237 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00016467460339001448, 0.15246095706180726, 0.047484782602856296] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.028 │ estimated_seconds_left = 1.4 └ ϵ = 0.000186 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00019376431704633685, 0.25478225420466677, 0.24388011263203202] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00021 │ estimated_seconds_left = 0.02 └ ϵ = 0.839 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00015415518940493952, 0.26715808794399515, 0.2333928628322945] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00021 │ estimated_seconds_left = 0.041 └ ϵ = 0.659 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00032 │ estimated_seconds_left = 0.032 └ ϵ = 0.483 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.000164479396248926, 0.25856089146663785, 0.22429380117422176] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 8.4e-5 │ estimated_seconds_left = 0.034 └ ϵ = 0.795 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00033 │ estimated_seconds_left = 0.1 └ ϵ = 0.317 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00024 │ estimated_seconds_left = 0.047 └ ϵ = 1.18 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00025 │ estimated_seconds_left = 0.024 └ ϵ = 1.11 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00018415739650151755, 0.2929060944104992, 0.2782439153846665] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 9.7e-5 │ estimated_seconds_left = 0.0048 └ ϵ = 0.818 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00015 └ estimated_seconds_left = 0.15 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0012 └ estimated_seconds_left = 1.0 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00026 └ estimated_seconds_left = 0.21 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00029 └ estimated_seconds_left = 0.2 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00032 └ estimated_seconds_left = 0.19 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00031 └ estimated_seconds_left = 0.15 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.0003 └ estimated_seconds_left = 0.12 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00031 └ estimated_seconds_left = 0.092 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00031 └ estimated_seconds_left = 0.063 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00032 └ estimated_seconds_left = 0.032 ┌ 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/obTYa/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/obTYa/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 = 6.2e-5 │ estimated_seconds_left = 0.0046 └ 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/obTYa/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 = 0.00016 │ estimated_seconds_left = 0.0039 └ ϵ = 0.000349 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0011595997986073477, 0.003757870651359959, 0.00039970378658791606, 0.07671377377873519, 0.16518445478283622] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.041 │ estimated_seconds_left = 2.0 └ ϵ = 0.000126 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.001449879775321301, 0.0036190457478529232, 0.0005641701519507335, 0.19999776770758573, 0.24784039741426384] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00058 │ estimated_seconds_left = 0.057 └ ϵ = 0.261 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0013594856502058303, 0.0032002396039188972, 0.0005198586954914142, 0.24450566546638208, 0.31288033687395955] ┌ 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 = 0.216 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0014 │ estimated_seconds_left = 0.14 └ ϵ = 0.348 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0014765195929507863, 0.004161766373308377, 0.00047489321930177574, 0.2602034326928933, 0.29842932460856114] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00049 │ estimated_seconds_left = 0.2 └ ϵ = 0.257 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0013 │ estimated_seconds_left = 0.39 └ ϵ = 0.117 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00071 │ estimated_seconds_left = 0.14 └ ϵ = 0.206 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00085 │ estimated_seconds_left = 0.084 └ ϵ = 0.278 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0016204212872671362, 0.0032566214188592484, 0.0005386779587237603, 0.2843339023094005, 0.2701175501785043] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00056 │ estimated_seconds_left = 0.027 └ ϵ = 0.256 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00058 └ estimated_seconds_left = 0.57 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0013 └ estimated_seconds_left = 1.1 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0013 └ estimated_seconds_left = 1.0 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0015 └ estimated_seconds_left = 1.1 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0011 └ estimated_seconds_left = 0.65 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0011 └ estimated_seconds_left = 0.55 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.0012 └ estimated_seconds_left = 0.48 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00091 └ estimated_seconds_left = 0.27 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00099 └ estimated_seconds_left = 0.2 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.001 └ estimated_seconds_left = 0.1 ┌ Info: found initial stepsize └ ϵ = 0.025 ┌ Info: Starting MCMC │ total_steps = 75 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00025 │ estimated_seconds_left = 0.018 └ ϵ = 0.025 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 4.5e-5 │ estimated_seconds_left = 0.0011 └ ϵ = 0.00237 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0005942004236713514, 0.17645016735954946] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.032 │ estimated_seconds_left = 1.6 └ ϵ = 0.000648 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0002401527678383179, 0.38602965127172184] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00022 │ estimated_seconds_left = 0.022 └ ϵ = 0.357 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0002437365297542544, 0.2762992484368955] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00027 │ estimated_seconds_left = 0.053 └ ϵ = 0.524 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00034 │ estimated_seconds_left = 0.034 └ ϵ = 0.776 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00021109657589904774, 0.27113059524527716] ┌ 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 = 0.091 └ ϵ = 0.7 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00033 │ estimated_seconds_left = 0.098 └ ϵ = 0.64 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00022 │ estimated_seconds_left = 0.043 └ ϵ = 0.535 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00025 │ estimated_seconds_left = 0.025 └ ϵ = 1.15 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.00022570704424001151, 0.31021606213990666] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 4.7e-5 │ estimated_seconds_left = 0.0023 └ ϵ = 0.805 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 4.7e-5 └ estimated_seconds_left = 0.047 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00029 └ estimated_seconds_left = 0.26 ┌ 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 = 0.0003 └ estimated_seconds_left = 0.18 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00024 └ estimated_seconds_left = 0.12 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00027 └ estimated_seconds_left = 0.11 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00028 └ estimated_seconds_left = 0.084 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00092 └ estimated_seconds_left = 0.18 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00023 └ estimated_seconds_left = 0.023 ┌ 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/oyzWP/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/obTYa/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/obTYa/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/obTYa/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 = 6.4e-5 │ estimated_seconds_left = 0.0047 └ ϵ = 0.00156 ┌ Info: Starting MCMC │ total_steps = 25 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00023 │ estimated_seconds_left = 0.0056 └ ϵ = 0.000674 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0010703836818522364, 0.0003990100272573223, 0.3417499594044047] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.031 │ estimated_seconds_left = 1.5 └ ϵ = 0.000456 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0009886021870033907, 0.00040000615070863405, 0.37945011500202586] ┌ 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 = 0.028 └ ϵ = 0.374 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0007711903907907098, 0.0002836827243478889, 0.24067858708814377] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00027 │ estimated_seconds_left = 0.053 └ ϵ = 0.378 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00071 │ estimated_seconds_left = 0.07 └ ϵ = 0.681 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0009028738792683023, 0.0003367905554509178, 0.24591189569323307] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00028 │ estimated_seconds_left = 0.11 └ ϵ = 0.501 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0013 │ estimated_seconds_left = 0.38 └ ϵ = 0.24 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00049 │ estimated_seconds_left = 0.098 └ ϵ = 0.586 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00045 │ estimated_seconds_left = 0.045 └ ϵ = 0.384 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0008772813676978414, 0.0003285362868644968, 0.24407583369408836] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00013 │ estimated_seconds_left = 0.0061 └ ϵ = 0.473 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00048 └ estimated_seconds_left = 0.48 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.00057 └ estimated_seconds_left = 0.51 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.00061 └ estimated_seconds_left = 0.48 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.00063 └ estimated_seconds_left = 0.44 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.00062 └ estimated_seconds_left = 0.37 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.00063 └ estimated_seconds_left = 0.31 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.00064 └ estimated_seconds_left = 0.25 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.00059 └ estimated_seconds_left = 0.18 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.00068 └ estimated_seconds_left = 0.14 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.00073 └ estimated_seconds_left = 0.072 ┌ 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/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/oyzWP/src/initdt.jl:147 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00013 │ estimated_seconds_left = 0.0093 └ 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/oyzWP/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/obTYa/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 = 0.044 │ estimated_seconds_left = 1.1 └ ϵ = 0.000204 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0013344786102270944, 0.004827630928468976, 0.001970021807551606, 0.002059729182262926, 0.060417560718359326, 0.07739768112913321] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.053 │ estimated_seconds_left = 2.6 └ ϵ = 0.000158 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.001061510923366337, 0.002038416813183798, 0.0015661068937110924, 0.0017307874238453905, 0.23248158499748303, 0.31586444313548295] ┌ Info: Starting MCMC │ total_steps = 100 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0016 │ estimated_seconds_left = 0.16 └ ϵ = 0.135 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0015017216821690022, 0.0023052253398578456, 0.0019870530557973432, 0.0026217866987333495, 0.35564673836112376, 0.2280694250586327] ┌ Info: Starting MCMC │ total_steps = 200 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00064 │ estimated_seconds_left = 0.13 └ ϵ = 0.147 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0035 │ estimated_seconds_left = 0.34 └ ϵ = 0.136 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0012566733038109489, 0.0018665449282109685, 0.0018411413840141153, 0.0020858909154587253, 0.25902355842815356, 0.25014841667868454] ┌ Info: Starting MCMC │ total_steps = 400 └ tuning = "stepsize and LinearAlgebra.Diagonal metric" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0011 │ estimated_seconds_left = 0.43 └ ϵ = 0.107 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0037 │ estimated_seconds_left = 1.1 └ ϵ = 0.0723 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.003 │ estimated_seconds_left = 0.59 └ ϵ = 0.186 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0025 │ estimated_seconds_left = 0.25 └ ϵ = 0.158 ┌ Info: adaptation finished └ adapted_kinetic_energy = Gaussian kinetic energy (Diagonal), √diag(M⁻¹): [0.0012223675335554826, 0.002019502862767971, 0.0017704791129118146, 0.002037311834716082, 0.24174101309249346, 0.24384671642362934] ┌ Info: Starting MCMC │ total_steps = 50 └ tuning = "stepsize" ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.00083 │ estimated_seconds_left = 0.041 └ ϵ = 0.144 ┌ Info: Starting MCMC └ total_steps = 1000 ┌ Info: MCMC progress │ step = 1 │ seconds_per_step = 0.0079 └ estimated_seconds_left = 7.9 ┌ Info: MCMC progress │ step = 101 │ seconds_per_step = 0.0027 └ estimated_seconds_left = 2.4 ┌ Info: MCMC progress │ step = 201 │ seconds_per_step = 0.0028 └ estimated_seconds_left = 2.2 ┌ Info: MCMC progress │ step = 301 │ seconds_per_step = 0.0027 └ estimated_seconds_left = 1.9 ┌ Info: MCMC progress │ step = 401 │ seconds_per_step = 0.0027 └ estimated_seconds_left = 1.6 ┌ Info: MCMC progress │ step = 501 │ seconds_per_step = 0.0033 └ estimated_seconds_left = 1.6 ┌ Info: MCMC progress │ step = 601 │ seconds_per_step = 0.0028 └ estimated_seconds_left = 1.1 ┌ Info: MCMC progress │ step = 701 │ seconds_per_step = 0.003 └ estimated_seconds_left = 0.89 ┌ Info: MCMC progress │ step = 801 │ seconds_per_step = 0.0028 └ estimated_seconds_left = 0.56 ┌ Info: MCMC progress │ step = 901 │ seconds_per_step = 0.0027 └ estimated_seconds_left = 0.26 Test Summary: | Pass Broken Total Time DynamicHMC | 8 2 10 5m48.4s 349.430317 seconds (178.46 M allocations: 11.308 GiB, 3.15% gc time, 56.38% 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 ┌ Info: Found initial step size └ ϵ = 0.0125 bayesian_result = MCMC chain (500×16×1 Array{Float64, 3}) ┌ Info: Found initial step size └ ϵ = 0.0125 ┌ Info: Found initial step size └ ϵ = 0.00625 Multithreaded case ┌ Warning: Only a single thread available: MCMC chains are not sampled in parallel └ @ AbstractMCMC ~/.julia/packages/AbstractMCMC/oqm6Y/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/obTYa/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/obTYa/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/obTYa/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/obTYa/src/integrator_interface.jl:635 ┌ Info: Found initial step size └ ϵ = 0.0125 ┌ Info: Found initial step size └ ϵ = 0.0125 ┌ Warning: Verbosity toggle: max_iters │ Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/obTYa/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/obTYa/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/obTYa/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/obTYa/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/obTYa/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/obTYa/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/obTYa/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/obTYa/src/integrator_interface.jl:635 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 = 0.0054687500000000005 bayesian_result = MCMC chain (500×19×1 Array{Float64, 3}) Steady state problem ┌ Info: Found initial step size └ ϵ = 0.05 Test Summary: | Pass Total Time Turing | 14 14 8m07.0s 487.016365 seconds (423.94 M allocations: 23.345 GiB, 2.26% gc time, 91.75% compilation time) Starting the test Test Summary: | Pass Total Time Stan_String | 66 66 6.8s 6.829358 seconds (2.18 M allocations: 120.109 MiB, 97.10% 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 ┌ 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_INP6HK/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:2244 [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(0xe451f2e7675103e3, 0x7bd2c28a420d5a7a, 0x6cce55c4b95a1b95, 0x7449aa826185f644, 0xa5d590ee76e55916) 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 880.39s 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:3138 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3003 [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] 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:562 [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 1806.61s: package tests unexpectedly errored