Package evaluation to test StochasticDiffEq on Julia 1.13.0-DEV.1296 (e8025198af*) started at 2025-10-12T22:52:04.432 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 10.82s ################################################################################ # Installation # Installing StochasticDiffEq... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [789caeaf] + StochasticDiffEq v6.83.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.18.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [ec485272] + ArnoldiMethod v0.4.0 [4fba245c] + ArrayInterface v7.20.0 [4c555306] + ArrayLayouts v1.12.0 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [70df07ce] + BracketingNonlinearSolve v1.5.0 [2a0fbf3d] + CPUSummary v0.2.7 [d360d2e6] + ChainRulesCore v1.26.0 [fb6a15b2] + CloseOpenIntervals v0.1.13 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [187b0558] + ConstructionBase v1.6.0 [adafc99b] + CpuId v0.3.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.1 [2b5f629d] + DiffEqBase v6.190.2 [459566f4] + DiffEqCallbacks v4.10.1 [77a26b50] + DiffEqNoiseProcess v5.24.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.9 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.122 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.5 [f151be2c] + EnzymeCore v0.8.14 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [7034ab61] + FastBroadcast v0.3.5 [9aa1b823] + FastClosures v0.3.2 [a4df4552] + FastPower v1.1.3 [1a297f60] + FillArrays v1.14.0 [6a86dc24] + FiniteDiff v2.28.1 [f6369f11] + ForwardDiff v1.2.1 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [46192b85] + GPUArraysCore v0.2.0 [86223c79] + Graphs v1.13.1 [34004b35] + HypergeometricFunctions v0.3.28 [615f187c] + IfElse v0.1.1 [d25df0c9] + Inflate v0.1.5 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [ae98c720] + Jieko v0.2.1 [ccbc3e58] + JumpProcesses v9.19.1 [ba0b0d4f] + Krylov v0.10.2 [10f19ff3] + LayoutPointers v0.1.17 [5078a376] + LazyArrays v2.8.0 [2d8b4e74] + LevyArea v1.0.0 [87fe0de2] + LineSearch v0.1.4 [d3d80556] + LineSearches v7.4.0 [7ed4a6bd] + LinearSolve v3.43.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 [d125e4d3] + ManualMemory v0.1.8 [bb5d69b7] + MaybeInplace v0.1.4 [e1d29d7a] + Missings v1.2.0 [2e0e35c7] + Moshi v0.3.7 [46d2c3a1] + MuladdMacro v0.2.4 [d41bc354] + NLSolversBase v7.10.0 [2774e3e8] + NLsolve v4.5.1 [77ba4419] + NaNMath v1.1.3 [8913a72c] + NonlinearSolve v4.12.0 [be0214bd] + NonlinearSolveBase v2.0.0 [5959db7a] + NonlinearSolveFirstOrder v1.9.0 [9a2c21bd] + NonlinearSolveQuasiNewton v1.10.0 [26075421] + NonlinearSolveSpectralMethods v1.5.0 [429524aa] + Optim v1.13.2 [bac558e1] + OrderedCollections v1.8.1 [bbf590c4] + OrdinaryDiffEqCore v1.36.0 [4302a76b] + OrdinaryDiffEqDifferentiation v1.16.1 [127b3ac7] + OrdinaryDiffEqNonlinearSolve v1.15.0 [90014a1f] + PDMats v0.11.35 [d96e819e] + Parameters v0.12.3 [e409e4f3] + PoissonRandom v0.4.7 [f517fe37] + Polyester v0.7.18 [1d0040c9] + PolyesterWeave v0.2.2 [85a6dd25] + PositiveFactorizations v0.2.4 [d236fae5] + PreallocationTools v0.4.34 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.37.1 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [ae5879a3] + ResettableStacks v1.1.1 [79098fc4] + Rmath v0.8.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 [94e857df] + SIMDTypes v0.1.0 [0bca4576] + SciMLBase v2.120.0 [19f34311] + SciMLJacobianOperators v0.1.11 [c0aeaf25] + SciMLOperators v1.9.0 [431bcebd] + SciMLPublic v1.0.0 [53ae85a6] + SciMLStructures v1.7.0 [efcf1570] + Setfield v1.1.2 [727e6d20] + SimpleNonlinearSolve v2.9.0 [699a6c99] + SimpleTraits v0.9.5 [ce78b400] + SimpleUnPack v1.1.0 [a2af1166] + SortingAlgorithms v1.2.2 [0a514795] + SparseMatrixColorings v0.4.21 [276daf66] + SpecialFunctions v2.6.1 [aedffcd0] + Static v1.3.0 [0d7ed370] + StaticArrayInterface v1.8.0 [90137ffa] + StaticArrays v1.9.15 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.6 [4c63d2b9] + StatsFuns v1.5.0 [789caeaf] + StochasticDiffEq v6.83.0 [7792a7ef] + StrideArraysCore v0.5.8 [2efcf032] + SymbolicIndexingInterface v0.3.45 [8290d209] + ThreadingUtilities v0.5.5 [a759f4b9] + TimerOutputs v0.5.29 [781d530d] + TruncatedStacktraces v1.4.0 [3a884ed6] + UnPack v1.0.2 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+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+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.16.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.9.9 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.46.0+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 v1.67.1+0 [3f19e933] + p7zip_jll v17.6.0+0 Installation completed after 6.32s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 660.36s ################################################################################ # Testing # Testing StochasticDiffEq Status `/tmp/jl_ACDeqJ/Project.toml` [47edcb42] ADTypes v1.18.0 [79e6a3ab] Adapt v4.4.0 [9b6a8646] AllocCheck v0.2.2 [4fba245c] ArrayInterface v7.20.0 [864edb3b] DataStructures v0.19.1 [2b5f629d] DiffEqBase v6.190.2 [459566f4] DiffEqCallbacks v4.10.1 [f3b72e0c] DiffEqDevTools v2.48.0 [77a26b50] DiffEqNoiseProcess v5.24.1 [ffbed154] DocStringExtensions v0.9.5 [a4df4552] FastPower v1.1.3 [6a86dc24] FiniteDiff v2.28.1 [f6369f11] ForwardDiff v1.2.1 [ccbc3e58] JumpProcesses v9.19.1 [2d8b4e74] LevyArea v1.0.0 [7ed4a6bd] LinearSolve v3.43.0 [961ee093] ModelingToolkit v10.25.0 [46d2c3a1] MuladdMacro v0.2.4 [2774e3e8] NLsolve v4.5.1 [1dea7af3] OrdinaryDiffEq v6.102.1 [bbf590c4] OrdinaryDiffEqCore v1.36.0 [4302a76b] OrdinaryDiffEqDifferentiation v1.16.1 [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.15.0 [e6cf234a] RandomNumbers v1.6.0 [731186ca] RecursiveArrayTools v3.37.1 [189a3867] Reexport v1.2.2 [c72e72a9] SDEProblemLibrary v1.0.0 [1bc83da4] SafeTestsets v0.1.0 [0bca4576] SciMLBase v2.120.0 [c0aeaf25] SciMLOperators v1.9.0 [90137ffa] StaticArrays v1.9.15 [10745b16] Statistics v1.11.1 [789caeaf] StochasticDiffEq v6.83.0 [3a884ed6] UnPack v1.0.2 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [44cfe95a] Pkg v1.13.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_ACDeqJ/Manifest.toml` [47edcb42] ADTypes v1.18.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [9b6a8646] AllocCheck v0.2.2 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.20.0 [4c555306] ArrayLayouts v1.12.0 [e2ed5e7c] Bijections v0.2.2 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] BlockArrays v1.7.2 [70df07ce] BracketingNonlinearSolve v1.5.0 [fa961155] CEnum v0.5.0 [2a0fbf3d] CPUSummary v0.2.7 [d360d2e6] ChainRulesCore v1.26.0 [fb6a15b2] CloseOpenIntervals v0.1.13 ⌅ [861a8166] Combinatorics v1.0.2 [a80b9123] CommonMark v0.9.1 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [b152e2b5] CompositeTypes v0.1.4 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [187b0558] ConstructionBase v1.6.0 [adafc99b] CpuId v0.3.1 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.1 [e2d170a0] DataValueInterfaces v1.0.0 [2b5f629d] DiffEqBase v6.190.2 [459566f4] DiffEqCallbacks v4.10.1 [f3b72e0c] DiffEqDevTools v2.48.0 [77a26b50] DiffEqNoiseProcess v5.24.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.9 [8d63f2c5] DispatchDoctor v0.4.26 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.122 [ffbed154] DocStringExtensions v0.9.5 [5b8099bc] DomainSets v0.7.16 [7c1d4256] DynamicPolynomials v0.6.4 [06fc5a27] DynamicQuantities v1.10.0 [4e289a0a] EnumX v1.0.5 [f151be2c] EnzymeCore v0.8.14 [d4d017d3] ExponentialUtilities v1.27.0 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [442a2c76] FastGaussQuadrature v1.0.2 [a4df4552] FastPower v1.1.3 [1a297f60] FillArrays v1.14.0 [64ca27bc] FindFirstFunctions v1.4.2 [6a86dc24] FiniteDiff v2.28.1 [1fa38f19] Format v1.3.7 [f6369f11] ForwardDiff v1.2.1 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [46192b85] GPUArraysCore v0.2.0 [61eb1bfa] GPUCompiler v1.7.2 [c145ed77] GenericSchur v0.5.6 [c27321d9] Glob v1.3.1 [86223c79] Graphs v1.13.1 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [3263718b] ImplicitDiscreteSolve v1.2.0 [d25df0c9] Inflate v0.1.5 [18e54dd8] IntegerMathUtils v0.1.3 [8197267c] IntervalSets v0.7.11 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [ae98c720] Jieko v0.2.1 [98e50ef6] JuliaFormatter v2.1.6 ⌅ [70703baa] JuliaSyntax v0.4.10 [ccbc3e58] JumpProcesses v9.19.1 [ba0b0d4f] Krylov v0.10.2 [929cbde3] LLVM v9.4.4 [b964fa9f] LaTeXStrings v1.4.0 [23fbe1c1] Latexify v0.16.10 [10f19ff3] LayoutPointers v0.1.17 [5078a376] LazyArrays v2.8.0 [2d8b4e74] LevyArea v1.0.0 [87fe0de2] LineSearch v0.1.4 [d3d80556] LineSearches v7.4.0 [7ed4a6bd] LinearSolve v3.43.0 [2ab3a3ac] LogExpFunctions v0.3.29 [d8e11817] MLStyle v0.4.17 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [bb5d69b7] MaybeInplace v0.1.4 [e1d29d7a] Missings v1.2.0 [961ee093] ModelingToolkit v10.25.0 [2e0e35c7] Moshi v0.3.7 [46d2c3a1] MuladdMacro v0.2.4 [102ac46a] MultivariatePolynomials v0.5.13 [d8a4904e] MutableArithmetics v1.6.6 [d41bc354] NLSolversBase v7.10.0 [2774e3e8] NLsolve v4.5.1 [77ba4419] NaNMath v1.1.3 [8913a72c] NonlinearSolve v4.12.0 [be0214bd] NonlinearSolveBase v2.0.0 [5959db7a] NonlinearSolveFirstOrder v1.9.0 [9a2c21bd] NonlinearSolveQuasiNewton v1.10.0 [26075421] NonlinearSolveSpectralMethods v1.5.0 [6fe1bfb0] OffsetArrays v1.17.0 [429524aa] Optim v1.13.2 [bac558e1] OrderedCollections v1.8.1 [1dea7af3] OrdinaryDiffEq v6.102.1 [89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.5.0 [6ad6398a] OrdinaryDiffEqBDF v1.10.1 [bbf590c4] OrdinaryDiffEqCore v1.36.0 [50262376] OrdinaryDiffEqDefault v1.8.0 [4302a76b] OrdinaryDiffEqDifferentiation v1.16.1 [9286f039] OrdinaryDiffEqExplicitRK v1.4.0 [e0540318] OrdinaryDiffEqExponentialRK v1.8.0 [becaefa8] OrdinaryDiffEqExtrapolation v1.9.0 [5960d6e9] OrdinaryDiffEqFIRK v1.16.0 [101fe9f7] OrdinaryDiffEqFeagin v1.4.0 [d3585ca7] OrdinaryDiffEqFunctionMap v1.5.0 [d28bc4f8] OrdinaryDiffEqHighOrderRK v1.5.0 [9f002381] OrdinaryDiffEqIMEXMultistep v1.7.0 [521117fe] OrdinaryDiffEqLinear v1.6.0 [1344f307] OrdinaryDiffEqLowOrderRK v1.6.0 [b0944070] OrdinaryDiffEqLowStorageRK v1.7.0 [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.15.0 [c9986a66] OrdinaryDiffEqNordsieck v1.4.0 [5dd0a6cf] OrdinaryDiffEqPDIRK v1.6.0 [5b33eab2] OrdinaryDiffEqPRK v1.4.0 [04162be5] OrdinaryDiffEqQPRK v1.4.0 [af6ede74] OrdinaryDiffEqRKN v1.5.0 [43230ef6] OrdinaryDiffEqRosenbrock v1.18.1 [2d112036] OrdinaryDiffEqSDIRK v1.7.0 [669c94d9] OrdinaryDiffEqSSPRK v1.7.0 [e3e12d00] OrdinaryDiffEqStabilizedIRK v1.6.0 [358294b1] OrdinaryDiffEqStabilizedRK v1.4.0 [fa646aed] OrdinaryDiffEqSymplecticRK v1.7.0 [b1df2697] OrdinaryDiffEqTsit5 v1.5.0 [79d7bb75] OrdinaryDiffEqVerner v1.6.0 [90014a1f] PDMats v0.11.35 [d96e819e] Parameters v0.12.3 [e409e4f3] PoissonRandom v0.4.7 [f517fe37] Polyester v0.7.18 [1d0040c9] PolyesterWeave v0.2.2 [85a6dd25] PositiveFactorizations v0.2.4 [d236fae5] PreallocationTools v0.4.34 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.0 [27ebfcd6] Primes v0.5.7 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [74087812] Random123 v1.7.1 [e6cf234a] RandomNumbers v1.6.0 [3cdcf5f2] RecipesBase v1.3.4 [731186ca] RecursiveArrayTools v3.37.1 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [ae5879a3] ResettableStacks v1.1.1 [79098fc4] Rmath v0.8.0 [47965b36] RootedTrees v2.23.1 [7e49a35a] RuntimeGeneratedFunctions v0.5.15 [9dfe8606] SCCNonlinearSolve v1.6.0 [c72e72a9] SDEProblemLibrary v1.0.0 [94e857df] SIMDTypes v0.1.0 [1bc83da4] SafeTestsets v0.1.0 [0bca4576] SciMLBase v2.120.0 [19f34311] SciMLJacobianOperators v0.1.11 [c0aeaf25] SciMLOperators v1.9.0 [431bcebd] SciMLPublic v1.0.0 [53ae85a6] SciMLStructures v1.7.0 [6c6a2e73] Scratch v1.3.0 [efcf1570] Setfield v1.1.2 [727e6d20] SimpleNonlinearSolve v2.9.0 [699a6c99] SimpleTraits v0.9.5 [ce78b400] SimpleUnPack v1.1.0 [a2af1166] SortingAlgorithms v1.2.2 [0a514795] SparseMatrixColorings v0.4.21 [276daf66] SpecialFunctions v2.6.1 [aedffcd0] Static v1.3.0 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.15 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.6 [4c63d2b9] StatsFuns v1.5.0 [789caeaf] StochasticDiffEq v6.83.0 [7792a7ef] StrideArraysCore v0.5.8 [09ab397b] StructArrays v0.7.1 [2efcf032] SymbolicIndexingInterface v0.3.45 ⌃ [19f23fe9] SymbolicLimits v0.2.3 ⌅ [d1185830] SymbolicUtils v3.32.0 [0c5d862f] Symbolics v6.55.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [ed4db957] TaskLocalValues v0.1.3 [8ea1fca8] TermInterface v2.0.0 [1c621080] TestItems v1.0.0 [8290d209] ThreadingUtilities v0.5.5 [a759f4b9] TimerOutputs v0.5.29 [e689c965] Tracy v0.1.6 [410a4b4d] Tricks v0.1.12 [781d530d] TruncatedStacktraces v1.4.0 [5c2747f8] URIs v1.6.1 [3a884ed6] UnPack v1.0.2 [1986cc42] Unitful v1.25.0 [a7c27f48] Unityper v0.1.6 [61579ee1] Ghostscript_jll v9.55.1+0 [1d5cc7b8] IntelOpenMP_jll v2025.2.0+0 [aacddb02] JpegTurbo_jll v3.1.3+0 [dad2f222] LLVMExtra_jll v0.0.38+0 [ad6e5548] LibTracyClient_jll v0.9.1+6 [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+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.16.0+0 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.9.9 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.46.0+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 v1.67.1+0 [3f19e933] p7zip_jll v17.6.0+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: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at first_rand_test.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/first_rand_test.jl:539 ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at first_rand_test.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/first_rand_test.jl:539 ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at first_rand_test.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/first_rand_test.jl:539 Test Summary: | Pass Total Time First Rand Tests | 4 4 44.0s 45.008866 seconds (21.71 M allocations: 1.218 GiB, 3.19% gc time, 68.23% compilation time: 8% of which was recompilation) WARNING: Method definition f(Any, Any, Any) in module ##Inference Tests#141 at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/inference_test.jl:5 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/inference_test.jl:17. WARNING: Method definition g(Any, Any, Any) in module ##Inference Tests#141 at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/inference_test.jl:6 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/inference_test.jl:18. Test Summary: | Pass Total Time Inference Tests | 2 2 15.2s 15.167067 seconds (10.25 M allocations: 550.054 MiB, 0.92% gc time, 99.68% compilation time: <1% of which was recompilation) ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 WARNING: Method definition f(Any, Any, Any, Any) in module ##Linear RODE Tests#142 at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:4 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:25. ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 WARNING: Method definition f(Any, Any, Any, Any, Any) in module ##Linear RODE Tests#142 at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:15 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:36. ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 WARNING: Method definition f(Any, Any, Any, Any, Any) in module ##Linear RODE Tests#142 at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:36 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:50. ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at rode_linear_tests.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/rode_linear_tests.jl:539 Test Summary: | Pass Total Time Linear RODE Tests | 10 10 42.8s 42.784092 seconds (18.53 M allocations: 1017.702 MiB, 0.94% gc time, 99.71% compilation time: 25% of which was recompilation) Test Summary: | Pass Total Time Complex Number Tests | 24 24 4m06.5s 246.492446 seconds (96.62 M allocations: 5.077 GiB, 1.51% gc time, 99.96% compilation time) Test Summary: | Broken Total Time Static Array Tests | 4 4 17.4s 17.446132 seconds (13.11 M allocations: 691.642 MiB, 5.63% gc time, 99.79% compilation time: <1% of which was recompilation) WARNING: Method definition f(Any, Any, Any, Any) in module ##Noise Type Tests#145 at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:3 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:18. WARNING: Method definition g(Any, Any, Any, Any) in module ##Noise Type Tests#145 at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:4 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:19. ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at noise_type_test.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:539 WARNING: Method definition f(Any, Any, Any, Any) in module ##Noise Type Tests#145 at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:18 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:40. WARNING: Method definition g(Any, Any, Any, Any) in module ##Noise Type Tests#145 at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:19 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:41. ┌ Warning: `alias_noise` keyword argument is deprecated, to set `alias_noise`, │ please use an SDEAliasSpecifier, e.g. `solve(prob, alias = SDEAliasSpecifier(alias_noise = true))` │ caller = ip:0x0 └ @ Core :-1 ┌ Warning: `alias_noise` keyword argument is deprecated, to set `alias_noise`, │ please use an SDEAliasSpecifier, e.g. `solve(prob, alias = SDEAliasSpecifier(alias_noise = true))` │ caller = top-level scope at noise_type_test.jl:52 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:52 ┌ Warning: `alias_noise` keyword argument is deprecated, to set `alias_noise`, │ please use an SDEAliasSpecifier, e.g. `solve(prob, alias = SDEAliasSpecifier(alias_noise = true))` │ caller = top-level scope at noise_type_test.jl:59 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:59 WARNING: Method definition g(Any, Any, Any, Any) in module ##Noise Type Tests#145 at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:41 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:66. ┌ Warning: `Base.getindex(VA::AbstractDiffEqArray{T, N, A}, i::Int) where {T, N, A <: Union{AbstractArray, AbstractVectorOfArray}}` is deprecated, use `VA.u[i]` instead. │ caller = top-level scope at noise_type_test.jl:539 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:539 ┌ Warning: `alias_noise` keyword argument is deprecated, to set `alias_noise`, │ please use an SDEAliasSpecifier, e.g. `solve(prob, alias = SDEAliasSpecifier(alias_noise = true))` │ caller = top-level scope at noise_type_test.jl:105 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:105 ┌ Warning: `alias_noise` keyword argument is deprecated, to set `alias_noise`, │ please use an SDEAliasSpecifier, e.g. `solve(prob, alias = SDEAliasSpecifier(alias_noise = true))` │ caller = top-level scope at noise_type_test.jl:108 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:108 ┌ Warning: `alias_noise` keyword argument is deprecated, to set `alias_noise`, │ please use an SDEAliasSpecifier, e.g. `solve(prob, alias = SDEAliasSpecifier(alias_noise = true))` │ caller = top-level scope at noise_type_test.jl:114 └ @ Core ~/.julia/packages/StochasticDiffEq/gJwMJ/test/noise_type_test.jl:114 Test Summary: | Pass Total Time Noise Type Tests | 2024 2024 2m17.6s 137.628148 seconds (42.20 M allocations: 2.232 GiB, 0.78% gc time, 99.85% compilation time) Test Summary: | Pass Total Time Mass matrix tests | 5 5 1m43.5s 103.494154 seconds (50.93 M allocations: 2.649 GiB, 1.88% gc time, 99.91% compilation time) Scalar g Vector g Implicit EM SKenCarp Test Summary: | Broken Total Time Outofplace Arrays Tests | 3 3 1m49.4s 109.405910 seconds (43.64 M allocations: 2.326 GiB, 0.88% gc time, 99.94% compilation time) WARNING: Imported binding SDEProblemLibrary.prob_sde_linear was undeclared at import time during import to ##tdir Tests#148. WARNING: Imported binding SDEProblemLibrary.prob_sde_2Dlinear was undeclared at import time during import to ##tdir Tests#148. Test Summary: | Pass Total Time tdir Tests | 5 5 1m19.0s 79.027386 seconds (33.27 M allocations: 1.825 GiB, 1.21% gc time, 99.21% compilation time: 6% of which was recompilation) (u, t) = (0.549863280969428, 0.0625) (u, t) = (0.6202962041978632, 0.125) (u, t) = (0.7152273105977963, 0.1875) (u, t) = (0.7000313545432915, 0.25) (u, t) = (0.34534364076926255, 0.3125) (u, t) = (0.36875325671990966, 0.33) (u, t) = (0.48097249983873785, 0.3925) (u, t) = (0.5684659566071866, 0.455) (u, t) = (0.6977112387438974, 0.5175000000000001) (u, t) = (0.7079156024944517, 0.5800000000000001) (u, t) = (0.6937134547051718, 0.6425000000000001) (u, t) = (0.7979147112274164, 0.7050000000000001) (u, t) = (0.8066087043671065, 0.7675000000000001) (u, t) = (0.9622092786672275, 0.8300000000000001) (u, t) = (0.777278659031075, 0.8925000000000001) (u, t) = (1.0561872988940517, 0.9550000000000001) (u, t) = (1.3428482829693857, 1.0) ┌ Warning: Assignment to `integrator` in soft scope is ambiguous because a global variable by the same name exists: `integrator` will be treated as a new local. Disambiguate by using `local integrator` to suppress this warning or `global integrator` to assign to the existing global variable. └ @ ~/.julia/packages/StochasticDiffEq/gJwMJ/test/tstops_tests.jl:28 [ Info: 1 [ Info: 2 Test Summary: | Pass Total Time tstops Tests | 11 11 11.6s 11.611939 seconds (3.28 M allocations: 182.417 MiB, 1.56% gc time, 99.62% compilation time: 2% of which was recompilation) [ Info: Warning Expected ┌ Warning: Interrupted. Larger maxiters is needed. If you are using an integrator for non-stiff ODEs or an automatic switching algorithm (the default), you may want to consider using a method for stiff equations. See the solver pages for more details (e.g. https://docs.sciml.ai/DiffEqDocs/stable/solvers/ode_solve/#Stiff-Problems). └ @ SciMLBase ~/.julia/packages/SciMLBase/YE7xF/src/integrator_interface.jl:623 Test Summary: | Pass Total Time saveat Tests | 10 10 55.9s 55.864228 seconds (23.52 M allocations: 1.250 GiB, 2.46% gc time, 99.84% compilation time) Test Summary: | Total Time Oval2 | 0 0.6s 0.608978 seconds (583.12 k allocations: 31.585 MiB, 97.95% compilation time) solver: StochasticDiffEq.SRA{StochasticDiffEq.RosslerSRA{Float64, Float64}}(StochasticDiffEq.RosslerSRA{Float64, Float64}([0.0, 0.75], [1.0, 0.0], [0.0 0.0; 0.75 0.0], [0.0 0.0; 1.5 0.0], [0.3333333333333333, 0.6666666666666666], [1.0, 0.0], [-1.0, 1.0], 2//1)) solver: StochasticDiffEq.SRA1() solver: StochasticDiffEq.SRA2() solver: StochasticDiffEq.SRA3() solver: StochasticDiffEq.SOSRA() solver: StochasticDiffEq.SOSRA2() solver: StochasticDiffEq.SKenCarp{0, true, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:central}, true, nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}, Float64, :Predictive}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}(1//100, 10, 1//5, 1//5, false, true, nothing), OrdinaryDiffEqCore.DEFAULT_PRECS, true, :min_correct, 0.001, true) solver: StochasticDiffEq.SRA{StochasticDiffEq.RosslerSRA{Float64, Float64}}(StochasticDiffEq.RosslerSRA{Float64, Float64}([0.0, 0.75], [1.0, 0.0], [0.0 0.0; 0.75 0.0], [0.0 0.0; 1.5 0.0], [0.3333333333333333, 0.6666666666666666], [1.0, 0.0], [-1.0, 1.0], 2//1)) solver: StochasticDiffEq.SRA1() solver: StochasticDiffEq.SRA2() solver: StochasticDiffEq.SRA3() solver: StochasticDiffEq.SOSRA() solver: StochasticDiffEq.SOSRA2() solver: StochasticDiffEq.SKenCarp{0, true, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:central}, true, nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}, Float64, :Predictive}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}(1//100, 10, 1//5, 1//5, false, true, nothing), OrdinaryDiffEqCore.DEFAULT_PRECS, true, :min_correct, 0.001, true) solver: StochasticDiffEq.EulerHeun() solver: StochasticDiffEq.LambaEulerHeun() solver: StochasticDiffEq.RKMil{SciMLBase.AlgorithmInterpretation.Stratonovich}() solver: StochasticDiffEq.RKMilCommute{StochasticDiffEq.IICommutative}(SciMLBase.AlgorithmInterpretation.Stratonovich, StochasticDiffEq.IICommutative()) solver: StochasticDiffEq.RKMilGeneral{StochasticDiffEq.IILevyArea, Nothing}(SciMLBase.AlgorithmInterpretation.Stratonovich, StochasticDiffEq.IILevyArea(), 1, nothing) solver: StochasticDiffEq.SROCK1{SciMLBase.AlgorithmInterpretation.Stratonovich, Nothing}(nothing) solver: StochasticDiffEq.ImplicitEulerHeun{0, true, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:central}, true, nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}, Float64, :Predictive}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}(1//100, 10, 1//5, 1//5, false, true, nothing), OrdinaryDiffEqCore.DEFAULT_PRECS, 1.0, :constant, 0.001, false) solver: StochasticDiffEq.ImplicitRKMil{0, true, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:central}, true, nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}, Float64, :Predictive, SciMLBase.AlgorithmInterpretation.Stratonovich}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}(1//100, 10, 1//5, 1//5, false, true, nothing), OrdinaryDiffEqCore.DEFAULT_PRECS, 1.0, :constant, 0.001, false) solver: StochasticDiffEq.ISSEulerHeun{0, true, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:central}, true, nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}, Float64, :Predictive}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}(1//100, 10, 1//5, 1//5, false, true, nothing), OrdinaryDiffEqCore.DEFAULT_PRECS, 1.0, :constant, 0.001, false) solver: StochasticDiffEq.EulerHeun() solver: StochasticDiffEq.LambaEulerHeun() solver: StochasticDiffEq.RKMil{SciMLBase.AlgorithmInterpretation.Stratonovich}() solver: StochasticDiffEq.RKMilCommute{StochasticDiffEq.IICommutative}(SciMLBase.AlgorithmInterpretation.Stratonovich, StochasticDiffEq.IICommutative()) solver: StochasticDiffEq.RKMilGeneral{StochasticDiffEq.IILevyArea, Nothing}(SciMLBase.AlgorithmInterpretation.Stratonovich, StochasticDiffEq.IILevyArea(), 1, nothing) solver: StochasticDiffEq.SROCK1{SciMLBase.AlgorithmInterpretation.Stratonovich, Nothing}(nothing) solver: StochasticDiffEq.ImplicitEulerHeun{0, true, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:central}, true, nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}, Float64, :Predictive}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}(1//100, 10, 1//5, 1//5, false, true, nothing), OrdinaryDiffEqCore.DEFAULT_PRECS, 1.0, :constant, 0.001, false) solver: StochasticDiffEq.ImplicitRKMil{0, true, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:central}, true, nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}, Float64, :Predictive, SciMLBase.AlgorithmInterpretation.Stratonovich}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}(1//100, 10, 1//5, 1//5, false, true, nothing), OrdinaryDiffEqCore.DEFAULT_PRECS, 1.0, :constant, 0.001, false) solver: StochasticDiffEq.ISSEulerHeun{0, true, Nothing, typeof(OrdinaryDiffEqCore.DEFAULT_PRECS), Val{:central}, true, nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}, Float64, :Predictive}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Nothing}(1//100, 10, 1//5, 1//5, false, true, nothing), OrdinaryDiffEqCore.DEFAULT_PRECS, 1.0, :constant, 0.001, false) solver: StochasticDiffEq.EM{true}() Ito Solver Reversal Tests (out-of-place): Error During Test at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/reversal_tests.jl:118 Got exception outside of a @test An indexing operation was performed on a NullParameters object. This means no parameters were passed into the AbstractSciMLProblem (e.x.: ODEProblem) but the parameters object `p` was used in an indexing expression (e.x. `p[i]`, or `x .+ p`). Two common reasons for this issue are: 1. Forgetting to pass parameters into the problem constructor. For example, `ODEProblem(f,u0,tspan)` should be `ODEProblem(f,u0,tspan,p)` in order to use parameters. 2. Using the wrong function signature. For example, with `ODEProblem`s the function signature is always `f(du,u,p,t)` for the in-place form or `f(u,p,t)` for the out-of-place form. Note that the `p` argument will always be in the function signature regardless of if the problem is defined with parameters! Stacktrace: [1] getindex(::SciMLBase.NullParameters, i::Int64) @ SciMLBase ~/.julia/packages/SciMLBase/YE7xF/src/problems/problem_utils.jl:177 [2] macro expansion @ ~/.julia/packages/SymbolicUtils/N76BL/src/code.jl:411 [inlined] [3] macro expansion @ ~/.julia/packages/Symbolics/lJiB2/src/build_function.jl:366 [inlined] [4] macro expansion @ ~/.julia/packages/RuntimeGeneratedFunctions/2SjTC/src/RuntimeGeneratedFunctions.jl:161 [inlined] [5] macro expansion @ ./none:0 [inlined] [6] generated_callfunc @ ./none:0 [inlined] [7] (::RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3d070c9c, 0x2f4d11e3, 0xa8c342cd, 0x0c9f6362, 0x1bbe05cc), Nothing})(::Vector{Float64}, ::SciMLBase.NullParameters, ::Float64) @ RuntimeGeneratedFunctions ~/.julia/packages/RuntimeGeneratedFunctions/2SjTC/src/RuntimeGeneratedFunctions.jl:148 [8] (::SciMLBase.SDEFunction{false, SciMLBase.FullSpecialize, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3d070c9c, 0x2f4d11e3, 0xa8c342cd, 0x0c9f6362, 0x1bbe05cc), Nothing}, typeof(SDEProblemLibrary.σ_linear), LinearAlgebra.UniformScaling{Bool}, typeof(SDEProblemLibrary.linear_analytic), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing})(u::Vector{Float64}, p::SciMLBase.NullParameters, t::Float64) @ SciMLBase ~/.julia/packages/SciMLBase/YE7xF/src/scimlfunctions.jl:2668 [9] perform_step!(integrator::StochasticDiffEq.SDEIntegrator{StochasticDiffEq.EM{true}, false, Vector{Float64}, Float64, Float64, Float64, SciMLBase.NullParameters, Float64, Float64, Float64, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, Nothing, Vector{Float64}, SciMLBase.RODESolution{Float64, 2, Vector{Vector{Float64}}, Vector{Vector{Float64}}, Dict{Symbol, Float64}, Vector{Float64}, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, Nothing, SciMLBase.SDEProblem{Vector{Float64}, Tuple{Float64, Float64}, false, SciMLBase.NullParameters, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, SciMLBase.SDEFunction{false, SciMLBase.FullSpecialize, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3d070c9c, 0x2f4d11e3, 0xa8c342cd, 0x0c9f6362, 0x1bbe05cc), Nothing}, typeof(SDEProblemLibrary.σ_linear), LinearAlgebra.UniformScaling{Bool}, typeof(SDEProblemLibrary.linear_analytic), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing}, typeof(SDEProblemLibrary.σ_linear), @Kwargs{}, Nothing}, StochasticDiffEq.EM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, SciMLBase.DEStats, Nothing, Nothing}, StochasticDiffEq.EMConstantCache, SciMLBase.SDEFunction{false, SciMLBase.FullSpecialize, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3d070c9c, 0x2f4d11e3, 0xa8c342cd, 0x0c9f6362, 0x1bbe05cc), Nothing}, typeof(SDEProblemLibrary.σ_linear), LinearAlgebra.UniformScaling{Bool}, typeof(SDEProblemLibrary.linear_analytic), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing}, typeof(SDEProblemLibrary.σ_linear), Nothing, StochasticDiffEq.SDEOptions{Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), Nothing, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Int64, Float64, Float64, Float64, Tuple{}, Tuple{}, Tuple{}}, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, Float64, Nothing, Nothing, DiffEqBase.DefaultInit}, cache::StochasticDiffEq.EMConstantCache) @ StochasticDiffEq ~/.julia/packages/StochasticDiffEq/gJwMJ/src/perform_step/low_order.jl:4 [10] solve!(integrator::StochasticDiffEq.SDEIntegrator{StochasticDiffEq.EM{true}, false, Vector{Float64}, Float64, Float64, Float64, SciMLBase.NullParameters, Float64, Float64, Float64, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, Nothing, Vector{Float64}, SciMLBase.RODESolution{Float64, 2, Vector{Vector{Float64}}, Vector{Vector{Float64}}, Dict{Symbol, Float64}, Vector{Float64}, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, Nothing, SciMLBase.SDEProblem{Vector{Float64}, Tuple{Float64, Float64}, false, SciMLBase.NullParameters, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, SciMLBase.SDEFunction{false, SciMLBase.FullSpecialize, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3d070c9c, 0x2f4d11e3, 0xa8c342cd, 0x0c9f6362, 0x1bbe05cc), Nothing}, typeof(SDEProblemLibrary.σ_linear), LinearAlgebra.UniformScaling{Bool}, typeof(SDEProblemLibrary.linear_analytic), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing}, typeof(SDEProblemLibrary.σ_linear), @Kwargs{}, Nothing}, StochasticDiffEq.EM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, SciMLBase.DEStats, Nothing, Nothing}, StochasticDiffEq.EMConstantCache, SciMLBase.SDEFunction{false, SciMLBase.FullSpecialize, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3d070c9c, 0x2f4d11e3, 0xa8c342cd, 0x0c9f6362, 0x1bbe05cc), Nothing}, typeof(SDEProblemLibrary.σ_linear), LinearAlgebra.UniformScaling{Bool}, typeof(SDEProblemLibrary.linear_analytic), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing}, typeof(SDEProblemLibrary.σ_linear), Nothing, StochasticDiffEq.SDEOptions{Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), Nothing, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Int64, Float64, Float64, Float64, Tuple{}, Tuple{}, Tuple{}}, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, Float64, Nothing, Nothing, DiffEqBase.DefaultInit}) @ StochasticDiffEq ~/.julia/packages/StochasticDiffEq/gJwMJ/src/solve.jl:725 [11] __solve(prob::SciMLBase.SDEProblem{Vector{Float64}, Tuple{Float64, Float64}, false, SciMLBase.NullParameters, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, SciMLBase.SDEFunction{false, SciMLBase.FullSpecialize, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3d070c9c, 0x2f4d11e3, 0xa8c342cd, 0x0c9f6362, 0x1bbe05cc), Nothing}, typeof(SDEProblemLibrary.σ_linear), LinearAlgebra.UniformScaling{Bool}, typeof(SDEProblemLibrary.linear_analytic), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing}, typeof(SDEProblemLibrary.σ_linear), @Kwargs{}, Nothing}, alg::StochasticDiffEq.EM{true}, timeseries::Vector{Any}, ts::Vector{Any}, ks::Nothing, recompile::Type{Val{true}}; kwargs::@Kwargs{dt::Float64, adaptive::Bool}) @ StochasticDiffEq ~/.julia/packages/StochasticDiffEq/gJwMJ/src/solve.jl:7 ┌[12] __solve │ @ ~/.julia/packages/StochasticDiffEq/gJwMJ/src/solve.jl:1 [inlined] ╰──── repeated 5 times [17] #solve_call#23 @ ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:127 [inlined] [18] solve_call @ ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:84 [inlined] [19] #solve_up#30 @ ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:563 [inlined] [20] solve_up @ ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:540 [inlined] [21] #solve#29 @ ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:530 [inlined] [22] kwcall(::@NamedTuple{dt::Float64, adaptive::Bool}, ::typeof(CommonSolve.solve), prob::SciMLBase.SDEProblem{Vector{Float64}, Tuple{Float64, Float64}, false, SciMLBase.NullParameters, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, SciMLBase.SDEFunction{false, SciMLBase.FullSpecialize, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x3d070c9c, 0x2f4d11e3, 0xa8c342cd, 0x0c9f6362, 0x1bbe05cc), Nothing}, typeof(SDEProblemLibrary.σ_linear), LinearAlgebra.UniformScaling{Bool}, typeof(SDEProblemLibrary.linear_analytic), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing}, typeof(SDEProblemLibrary.σ_linear), @Kwargs{}, Nothing}, args::StochasticDiffEq.EM{true}) @ DiffEqBase ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:520 [23] macro expansion @ ~/.julia/packages/StochasticDiffEq/gJwMJ/test/reversal_tests.jl:143 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2035 [inlined] [25] top-level scope @ ~/.julia/packages/StochasticDiffEq/gJwMJ/test/reversal_tests.jl:2059 [26] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [27] top-level scope @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:56 [28] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1954 [inlined] [29] macro expansion @ ~/.julia/packages/StochasticDiffEq/gJwMJ/test/runtests.jl:56 [inlined] [30] eval(m::Module, e::Any) @ Core ./boot.jl:489 [31] macro expansion @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [inlined] [32] macro expansion @ ./timing.jl:689 [inlined] [33] macro expansion @ ~/.julia/packages/StochasticDiffEq/gJwMJ/test/runtests.jl:55 [inlined] [34] macro expansion @ ./timing.jl:689 [inlined] [35] top-level scope @ ~/.julia/packages/StochasticDiffEq/gJwMJ/test/runtests.jl:353 [36] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [37] top-level scope @ none:6 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [40] _start() @ Base ./client.jl:577 solver: StochasticDiffEq.EM{true}() Ito Solver Reversal Tests (in-place): Error During Test at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/reversal_tests.jl:118 Got exception outside of a @test An indexing operation was performed on a NullParameters object. This means no parameters were passed into the AbstractSciMLProblem (e.x.: ODEProblem) but the parameters object `p` was used in an indexing expression (e.x. `p[i]`, or `x .+ p`). Two common reasons for this issue are: 1. Forgetting to pass parameters into the problem constructor. For example, `ODEProblem(f,u0,tspan)` should be `ODEProblem(f,u0,tspan,p)` in order to use parameters. 2. Using the wrong function signature. For example, with `ODEProblem`s the function signature is always `f(du,u,p,t)` for the in-place form or `f(u,p,t)` for the out-of-place form. Note that the `p` argument will always be in the function signature regardless of if the problem is defined with parameters! Stacktrace: [1] getindex(::SciMLBase.NullParameters, i::Int64) @ SciMLBase ~/.julia/packages/SciMLBase/YE7xF/src/problems/problem_utils.jl:177 [2] macro expansion @ ~/.julia/packages/SymbolicUtils/N76BL/src/code.jl:411 [inlined] [3] macro expansion @ ~/.julia/packages/Symbolics/lJiB2/src/build_function.jl:368 [inlined] [4] macro expansion @ ~/.julia/packages/RuntimeGeneratedFunctions/2SjTC/src/RuntimeGeneratedFunctions.jl:161 [inlined] [5] macro expansion @ ./none:0 [inlined] [6] generated_callfunc @ ./none:0 [inlined] [7] (::RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x04e56e2d, 0xf4a7bdee, 0xffeeb453, 0xa3997c2a, 0x8330cd08), Nothing})(::Vector{Float64}, ::Vector{Float64}, ::SciMLBase.NullParameters, ::Float64) @ RuntimeGeneratedFunctions ~/.julia/packages/RuntimeGeneratedFunctions/2SjTC/src/RuntimeGeneratedFunctions.jl:148 [8] (::SciMLBase.SDEFunction{true, SciMLBase.FullSpecialize, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x04e56e2d, 0xf4a7bdee, 0xffeeb453, 0xa3997c2a, 0x8330cd08), Nothing}, typeof(SDEProblemLibrary.σ_linear_iip), LinearAlgebra.UniformScaling{Bool}, typeof(SDEProblemLibrary.linear_analytic), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing})(du::Vector{Float64}, u::Vector{Float64}, p::SciMLBase.NullParameters, t::Float64) @ SciMLBase ~/.julia/packages/SciMLBase/YE7xF/src/scimlfunctions.jl:2660 [9] perform_step!(integrator::StochasticDiffEq.SDEIntegrator{StochasticDiffEq.EM{true}, true, Vector{Float64}, Float64, Float64, Float64, SciMLBase.NullParameters, Float64, Float64, Float64, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, Nothing, Vector{Float64}, SciMLBase.RODESolution{Float64, 2, Vector{Vector{Float64}}, Vector{Vector{Float64}}, Dict{Symbol, Float64}, Vector{Float64}, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, Nothing, SciMLBase.SDEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, SciMLBase.NullParameters, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, SciMLBase.SDEFunction{true, SciMLBase.FullSpecialize, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x04e56e2d, 0xf4a7bdee, 0xffeeb453, 0xa3997c2a, 0x8330cd08), Nothing}, typeof(SDEProblemLibrary.σ_linear_iip), LinearAlgebra.UniformScaling{Bool}, typeof(SDEProblemLibrary.linear_analytic), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing}, typeof(SDEProblemLibrary.σ_linear_iip), @Kwargs{}, Nothing}, StochasticDiffEq.EM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, SciMLBase.DEStats, Nothing, Nothing}, StochasticDiffEq.EMCache{Vector{Float64}, Vector{Float64}, Vector{Float64}}, SciMLBase.SDEFunction{true, SciMLBase.FullSpecialize, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x04e56e2d, 0xf4a7bdee, 0xffeeb453, 0xa3997c2a, 0x8330cd08), Nothing}, typeof(SDEProblemLibrary.σ_linear_iip), LinearAlgebra.UniformScaling{Bool}, typeof(SDEProblemLibrary.linear_analytic), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing}, typeof(SDEProblemLibrary.σ_linear_iip), Nothing, StochasticDiffEq.SDEOptions{Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), Nothing, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Int64, Float64, Float64, Float64, Tuple{}, Tuple{}, Tuple{}}, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, Float64, Nothing, Nothing, DiffEqBase.DefaultInit}, cache::StochasticDiffEq.EMCache{Vector{Float64}, Vector{Float64}, Vector{Float64}}) @ StochasticDiffEq ~/.julia/packages/StochasticDiffEq/gJwMJ/src/perform_step/low_order.jl:30 [10] solve!(integrator::StochasticDiffEq.SDEIntegrator{StochasticDiffEq.EM{true}, true, Vector{Float64}, Float64, Float64, Float64, SciMLBase.NullParameters, Float64, Float64, Float64, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, Nothing, Vector{Float64}, SciMLBase.RODESolution{Float64, 2, Vector{Vector{Float64}}, Vector{Vector{Float64}}, Dict{Symbol, Float64}, Vector{Float64}, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, Nothing, SciMLBase.SDEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, SciMLBase.NullParameters, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, SciMLBase.SDEFunction{true, SciMLBase.FullSpecialize, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x04e56e2d, 0xf4a7bdee, 0xffeeb453, 0xa3997c2a, 0x8330cd08), Nothing}, typeof(SDEProblemLibrary.σ_linear_iip), LinearAlgebra.UniformScaling{Bool}, typeof(SDEProblemLibrary.linear_analytic), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing}, typeof(SDEProblemLibrary.σ_linear_iip), @Kwargs{}, Nothing}, StochasticDiffEq.EM{true}, StochasticDiffEq.LinearInterpolationData{Vector{Vector{Float64}}, Vector{Float64}}, SciMLBase.DEStats, Nothing, Nothing}, StochasticDiffEq.EMCache{Vector{Float64}, Vector{Float64}, Vector{Float64}}, SciMLBase.SDEFunction{true, SciMLBase.FullSpecialize, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x04e56e2d, 0xf4a7bdee, 0xffeeb453, 0xa3997c2a, 0x8330cd08), Nothing}, typeof(SDEProblemLibrary.σ_linear_iip), LinearAlgebra.UniformScaling{Bool}, typeof(SDEProblemLibrary.linear_analytic), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing}, typeof(SDEProblemLibrary.σ_linear_iip), Nothing, StochasticDiffEq.SDEOptions{Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), Nothing, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Int64, Float64, Float64, Float64, Tuple{}, Tuple{}, Tuple{}}, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, Float64, Nothing, Nothing, DiffEqBase.DefaultInit}) @ StochasticDiffEq ~/.julia/packages/StochasticDiffEq/gJwMJ/src/solve.jl:725 [11] __solve(prob::SciMLBase.SDEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, SciMLBase.NullParameters, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, SciMLBase.SDEFunction{true, SciMLBase.FullSpecialize, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x04e56e2d, 0xf4a7bdee, 0xffeeb453, 0xa3997c2a, 0x8330cd08), Nothing}, typeof(SDEProblemLibrary.σ_linear_iip), LinearAlgebra.UniformScaling{Bool}, typeof(SDEProblemLibrary.linear_analytic), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing}, typeof(SDEProblemLibrary.σ_linear_iip), @Kwargs{}, Nothing}, alg::StochasticDiffEq.EM{true}, timeseries::Vector{Any}, ts::Vector{Any}, ks::Nothing, recompile::Type{Val{true}}; kwargs::@Kwargs{dt::Float64, adaptive::Bool}) @ StochasticDiffEq ~/.julia/packages/StochasticDiffEq/gJwMJ/src/solve.jl:7 ┌[12] __solve │ @ ~/.julia/packages/StochasticDiffEq/gJwMJ/src/solve.jl:1 [inlined] ╰──── repeated 5 times [17] #solve_call#23 @ ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:127 [inlined] [18] solve_call @ ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:84 [inlined] [19] #solve_up#30 @ ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:563 [inlined] [20] solve_up @ ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:540 [inlined] [21] #solve#29 @ ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:530 [inlined] [22] kwcall(::@NamedTuple{dt::Float64, adaptive::Bool}, ::typeof(CommonSolve.solve), prob::SciMLBase.SDEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, SciMLBase.NullParameters, DiffEqNoiseProcess.NoiseGrid{Float64, 0, Float64, Float64, Float64, Vector{Float64}, Base.RefValue{Int64}, false}, SciMLBase.SDEFunction{true, SciMLBase.FullSpecialize, RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋out, :__mtk_arg_1, :___mtkparameters___, :t), ModelingToolkit.var"#_RGF_ModTag", ModelingToolkit.var"#_RGF_ModTag", (0x04e56e2d, 0xf4a7bdee, 0xffeeb453, 0xa3997c2a, 0x8330cd08), Nothing}, typeof(SDEProblemLibrary.σ_linear_iip), LinearAlgebra.UniformScaling{Bool}, typeof(SDEProblemLibrary.linear_analytic), Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing}, typeof(SDEProblemLibrary.σ_linear_iip), @Kwargs{}, Nothing}, args::StochasticDiffEq.EM{true}) @ DiffEqBase ~/.julia/packages/DiffEqBase/p82Yh/src/solve.jl:520 [23] macro expansion @ ~/.julia/packages/StochasticDiffEq/gJwMJ/test/reversal_tests.jl:143 [inlined] [24] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2035 [inlined] [25] top-level scope @ ~/.julia/packages/StochasticDiffEq/gJwMJ/test/reversal_tests.jl:2059 [26] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [27] top-level scope @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:56 [28] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1954 [inlined] [29] macro expansion @ ~/.julia/packages/StochasticDiffEq/gJwMJ/test/runtests.jl:56 [inlined] [30] eval(m::Module, e::Any) @ Core ./boot.jl:489 [31] macro expansion @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [inlined] [32] macro expansion @ ./timing.jl:689 [inlined] [33] macro expansion @ ~/.julia/packages/StochasticDiffEq/gJwMJ/test/runtests.jl:55 [inlined] [34] macro expansion @ ./timing.jl:689 [inlined] [35] top-level scope @ ~/.julia/packages/StochasticDiffEq/gJwMJ/test/runtests.jl:353 [36] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [37] top-level scope @ none:6 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [40] _start() @ Base ./client.jl:577 Test Summary: | Pass Error Total Time Solver Reversal Tests | 64 2 66 13m41.8s Additive Noise Solver Reversal Tests (out-of-place) | 14 14 1m24.0s Additive Noise Solver Reversal Tests (in-place) | 14 14 2m31.3s Stratonovich Solver Reversal Tests (out-of-place) | 18 18 1m24.5s Stratonovich Solver Reversal Tests (in-place) | 18 18 4m47.2s Ito Solver Reversal Tests (out-of-place) | 1 1 1m50.7s Ito Solver Reversal Tests (in-place) | 1 1 18.7s RNG of the outermost testset: Random.Xoshiro(0x2554473e08df25dc, 0xd11fcdc8a42ebd00, 0xb7222a9a4a26f79a, 0x0e62c3439e8c6110, 0x9111dc74be04da4e) ERROR: LoadError: Some tests did not pass: 64 passed, 0 failed, 2 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/StochasticDiffEq/gJwMJ/test/runtests.jl:16 Testing failed after 1735.34s ERROR: LoadError: Package StochasticDiffEq errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.13/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/v1.13/Pkg/src/Operations.jl:2674 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2523 [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/v1.13/Pkg/src/API.jl:548 [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/v1.13/Pkg/src/API.jl:525 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/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/v1.13/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.13/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/v1.13/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [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:577 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 2443.86s: package tests unexpectedly errored