Package evaluation of StochasticDiffEq on Julia 1.12.0-DEV.1805 (a080deafdd*) started at 2025-03-25T00:44:49.933 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.1s ################################################################################ # Installation # Installing StochasticDiffEq... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [789caeaf] + StochasticDiffEq v6.74.1 Updating `~/.julia/environments/v1.12/Manifest.toml` [47edcb42] + ADTypes v1.14.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [ec485272] + ArnoldiMethod v0.4.0 [4fba245c] + ArrayInterface v7.18.0 [4c555306] + ArrayLayouts v1.11.1 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [70df07ce] + BracketingNonlinearSolve v1.1.1 [2a0fbf3d] + CPUSummary v0.2.6 [d360d2e6] + ChainRulesCore v1.25.1 [fb6a15b2] + CloseOpenIntervals v0.1.13 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [187b0558] + ConstructionBase v1.5.8 [adafc99b] + CpuId v0.3.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [2b5f629d] + DiffEqBase v6.167.0 [77a26b50] + DiffEqNoiseProcess v5.24.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.6.48 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.118 [ffbed154] + DocStringExtensions v0.9.3 [4e289a0a] + EnumX v1.0.4 [f151be2c] + EnzymeCore v0.8.8 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [7034ab61] + FastBroadcast v0.3.5 [9aa1b823] + FastClosures v0.3.2 [a4df4552] + FastPower v1.1.1 [1a297f60] + FillArrays v1.13.0 [6a86dc24] + FiniteDiff v2.27.0 [f6369f11] + ForwardDiff v0.10.38 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [46192b85] + GPUArraysCore v0.2.0 [86223c79] + Graphs v1.12.0 [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 v1.7.0 [ae98c720] + Jieko v0.2.1 [ccbc3e58] + JumpProcesses v9.14.2 [ba0b0d4f] + Krylov v0.9.10 [10f19ff3] + LayoutPointers v0.1.17 [5078a376] + LazyArrays v2.6.1 [2d8b4e74] + LevyArea v1.0.0 [87fe0de2] + LineSearch v0.1.4 [d3d80556] + LineSearches v7.3.0 [7ed4a6bd] + LinearSolve v3.7.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.15 [d125e4d3] + ManualMemory v0.1.8 [bb5d69b7] + MaybeInplace v0.1.4 [e1d29d7a] + Missings v1.2.0 [2e0e35c7] + Moshi v0.3.5 [46d2c3a1] + MuladdMacro v0.2.4 [d41bc354] + NLSolversBase v7.9.0 [2774e3e8] + NLsolve v4.5.1 [77ba4419] + NaNMath v1.1.2 [8913a72c] + NonlinearSolve v4.5.0 [be0214bd] + NonlinearSolveBase v1.5.0 [5959db7a] + NonlinearSolveFirstOrder v1.3.0 [9a2c21bd] + NonlinearSolveQuasiNewton v1.2.0 [26075421] + NonlinearSolveSpectralMethods v1.1.0 [429524aa] + Optim v1.11.0 [bac558e1] + OrderedCollections v1.8.0 [bbf590c4] + OrdinaryDiffEqCore v1.20.0 [4302a76b] + OrdinaryDiffEqDifferentiation v1.4.0 [127b3ac7] + OrdinaryDiffEqNonlinearSolve v1.5.0 [90014a1f] + PDMats v0.11.32 [65ce6f38] + PackageExtensionCompat v1.0.2 [d96e819e] + Parameters v0.12.3 [e409e4f3] + PoissonRandom v0.4.4 [f517fe37] + Polyester v0.7.16 [1d0040c9] + PolyesterWeave v0.2.2 [85a6dd25] + PositiveFactorizations v0.2.4 [d236fae5] + PreallocationTools v0.4.25 [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [74087812] + Random123 v1.7.0 [e6cf234a] + RandomNumbers v1.6.0 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.31.1 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [ae5879a3] + ResettableStacks v1.1.1 [79098fc4] + Rmath v0.8.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.13 [94e857df] + SIMDTypes v0.1.0 [0bca4576] + SciMLBase v2.79.0 [19f34311] + SciMLJacobianOperators v0.1.1 [c0aeaf25] + SciMLOperators v0.3.13 [53ae85a6] + SciMLStructures v1.7.0 [efcf1570] + Setfield v1.1.2 [727e6d20] + SimpleNonlinearSolve v2.2.0 [699a6c99] + SimpleTraits v0.9.4 [ce78b400] + SimpleUnPack v1.1.0 [a2af1166] + SortingAlgorithms v1.2.1 [47a9eef4] + SparseDiffTools v2.24.0 [0a514795] + SparseMatrixColorings v0.4.14 [276daf66] + SpecialFunctions v2.5.0 [aedffcd0] + Static v1.2.0 [0d7ed370] + StaticArrayInterface v1.8.0 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.0 [2913bbd2] + StatsBase v0.34.4 [4c63d2b9] + StatsFuns v1.3.2 [789caeaf] + StochasticDiffEq v6.74.1 [7792a7ef] + StrideArraysCore v0.5.7 [2efcf032] + SymbolicIndexingInterface v0.3.38 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [8290d209] + ThreadingUtilities v0.5.2 [a759f4b9] + TimerOutputs v0.5.28 [781d530d] + TruncatedStacktraces v1.4.0 [3a884ed6] + UnPack v1.0.2 [19fa3120] + VertexSafeGraphs v0.2.0 [1d5cc7b8] + IntelOpenMP_jll v2025.0.4+0 [856f044c] + MKL_jll v2025.0.1+1 [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 v1.6.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [dc6e5ff7] + 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 v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.12.0 [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 v1.12.0 [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 v1.2.0+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.8.0+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+1 [14a3606d] + MozillaCACerts_jll v2024.11.26 [4536629a] + OpenBLAS_jll v0.3.28+3 [05823500] + OpenLibm_jll v0.8.1+3 [bea87d4a] + SuiteSparse_jll v7.8.0+1 [83775a58] + Zlib_jll v1.3.1+1 [8e850b90] + libblastrampoline_jll v5.11.2+0 [8e850ede] + nghttp2_jll v1.63.0+1 [3f19e933] + p7zip_jll v17.5.0+1 Installation completed after 4.92s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 35.89s ################################################################################ # Testing # Testing StochasticDiffEq Status `/tmp/jl_7cX2GV/Project.toml` [47edcb42] ADTypes v1.14.0 [79e6a3ab] Adapt v4.3.0 [4fba245c] ArrayInterface v7.18.0 [864edb3b] DataStructures v0.18.22 [2b5f629d] DiffEqBase v6.167.0 [459566f4] DiffEqCallbacks v4.3.0 [f3b72e0c] DiffEqDevTools v2.48.0 [77a26b50] DiffEqNoiseProcess v5.24.1 [ffbed154] DocStringExtensions v0.9.3 [a4df4552] FastPower v1.1.1 [6a86dc24] FiniteDiff v2.27.0 [f6369f11] ForwardDiff v0.10.38 [ccbc3e58] JumpProcesses v9.14.2 [2d8b4e74] LevyArea v1.0.0 [7ed4a6bd] LinearSolve v3.7.0 [961ee093] ModelingToolkit v9.68.1 [46d2c3a1] MuladdMacro v0.2.4 [2774e3e8] NLsolve v4.5.1 [1dea7af3] OrdinaryDiffEq v6.93.0 [bbf590c4] OrdinaryDiffEqCore v1.20.0 [4302a76b] OrdinaryDiffEqDifferentiation v1.4.0 [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.5.0 [e6cf234a] RandomNumbers v1.6.0 [731186ca] RecursiveArrayTools v3.31.1 [189a3867] Reexport v1.2.2 [c72e72a9] SDEProblemLibrary v0.1.7 [1bc83da4] SafeTestsets v0.1.0 [0bca4576] SciMLBase v2.79.0 [c0aeaf25] SciMLOperators v0.3.13 [47a9eef4] SparseDiffTools v2.24.0 [90137ffa] StaticArrays v1.9.13 [10745b16] Statistics v1.11.1 [789caeaf] StochasticDiffEq v6.74.1 [3a884ed6] UnPack v1.0.2 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [44cfe95a] Pkg v1.12.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.12.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_7cX2GV/Manifest.toml` [47edcb42] ADTypes v1.14.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.18.0 [4c555306] ArrayLayouts v1.11.1 [e2ed5e7c] Bijections v0.1.9 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] BlockArrays v1.5.0 [70df07ce] BracketingNonlinearSolve v1.1.1 [2a0fbf3d] CPUSummary v0.2.6 [00ebfdb7] CSTParser v3.4.3 [479239e8] Catalyst v14.4.1 [d360d2e6] ChainRulesCore v1.25.1 [fb6a15b2] CloseOpenIntervals v0.1.13 [861a8166] Combinatorics v1.0.2 ⌅ [a80b9123] CommonMark v0.8.15 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.16.0 [b152e2b5] CompositeTypes v0.1.4 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [187b0558] ConstructionBase v1.5.8 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [2b5f629d] DiffEqBase v6.167.0 [459566f4] DiffEqCallbacks v4.3.0 [f3b72e0c] DiffEqDevTools v2.48.0 [77a26b50] DiffEqNoiseProcess v5.24.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.6.48 [8d63f2c5] DispatchDoctor v0.4.19 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.118 [ffbed154] DocStringExtensions v0.9.3 [5b8099bc] DomainSets v0.7.15 [7c1d4256] DynamicPolynomials 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NonlinearSolveSpectralMethods v1.1.0 [6fe1bfb0] OffsetArrays v1.16.0 [429524aa] Optim v1.11.0 [bac558e1] OrderedCollections v1.8.0 [1dea7af3] OrdinaryDiffEq v6.93.0 [89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.2.0 [6ad6398a] OrdinaryDiffEqBDF v1.3.0 [bbf590c4] OrdinaryDiffEqCore v1.20.0 [50262376] OrdinaryDiffEqDefault v1.3.0 [4302a76b] OrdinaryDiffEqDifferentiation v1.4.0 [9286f039] OrdinaryDiffEqExplicitRK v1.1.0 [e0540318] OrdinaryDiffEqExponentialRK v1.4.0 [becaefa8] OrdinaryDiffEqExtrapolation v1.5.0 [5960d6e9] OrdinaryDiffEqFIRK v1.9.0 [101fe9f7] OrdinaryDiffEqFeagin v1.1.0 [d3585ca7] OrdinaryDiffEqFunctionMap v1.1.1 [d28bc4f8] OrdinaryDiffEqHighOrderRK v1.1.0 [9f002381] OrdinaryDiffEqIMEXMultistep v1.3.0 [521117fe] OrdinaryDiffEqLinear v1.1.0 [1344f307] OrdinaryDiffEqLowOrderRK v1.2.0 [b0944070] OrdinaryDiffEqLowStorageRK v1.3.0 [127b3ac7] OrdinaryDiffEqNonlinearSolve v1.5.0 [c9986a66] OrdinaryDiffEqNordsieck v1.1.0 [5dd0a6cf] OrdinaryDiffEqPDIRK v1.3.0 [5b33eab2] OrdinaryDiffEqPRK v1.1.0 [04162be5] OrdinaryDiffEqQPRK v1.1.0 [af6ede74] OrdinaryDiffEqRKN v1.1.0 [43230ef6] OrdinaryDiffEqRosenbrock v1.8.0 [2d112036] OrdinaryDiffEqSDIRK v1.3.0 [669c94d9] OrdinaryDiffEqSSPRK v1.2.1 [e3e12d00] OrdinaryDiffEqStabilizedIRK v1.3.0 [358294b1] OrdinaryDiffEqStabilizedRK v1.1.0 [fa646aed] OrdinaryDiffEqSymplecticRK v1.3.0 [b1df2697] OrdinaryDiffEqTsit5 v1.1.0 [79d7bb75] OrdinaryDiffEqVerner v1.1.1 [90014a1f] PDMats v0.11.32 [65ce6f38] PackageExtensionCompat v1.0.2 [d96e819e] Parameters v0.12.3 [e409e4f3] PoissonRandom v0.4.4 [f517fe37] Polyester v0.7.16 [1d0040c9] PolyesterWeave v0.2.2 [85a6dd25] PositiveFactorizations v0.2.4 [d236fae5] PreallocationTools v0.4.25 [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [27ebfcd6] Primes v0.5.7 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [74087812] Random123 v1.7.0 [e6cf234a] RandomNumbers v1.6.0 [3cdcf5f2] RecipesBase v1.3.4 [731186ca] RecursiveArrayTools v3.31.1 [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 v0.5.13 [9dfe8606] SCCNonlinearSolve v1.0.0 [c72e72a9] SDEProblemLibrary v0.1.7 [94e857df] SIMDTypes v0.1.0 [1bc83da4] SafeTestsets v0.1.0 [0bca4576] SciMLBase v2.79.0 [19f34311] SciMLJacobianOperators v0.1.1 [c0aeaf25] SciMLOperators v0.3.13 [53ae85a6] SciMLStructures v1.7.0 [efcf1570] Setfield v1.1.2 [727e6d20] SimpleNonlinearSolve v2.2.0 [699a6c99] SimpleTraits v0.9.4 [ce78b400] SimpleUnPack v1.1.0 [a2af1166] SortingAlgorithms v1.2.1 [47a9eef4] SparseDiffTools v2.24.0 [0a514795] SparseMatrixColorings v0.4.14 [276daf66] SpecialFunctions v2.5.0 [aedffcd0] Static v1.2.0 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.0 [2913bbd2] StatsBase v0.34.4 [4c63d2b9] StatsFuns v1.3.2 [789caeaf] StochasticDiffEq v6.74.1 [7792a7ef] 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FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [dc6e5ff7] 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 v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.12.0 [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 v1.12.0 [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 v1.2.0+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.8.0+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+1 [14a3606d] MozillaCACerts_jll v2024.11.26 [4536629a] OpenBLAS_jll v0.3.28+3 [05823500] OpenLibm_jll v0.8.1+3 [bea87d4a] SuiteSparse_jll v7.8.0+1 [83775a58] Zlib_jll v1.3.1+1 [8e850b90] libblastrampoline_jll v5.11.2+0 [8e850ede] nghttp2_jll v1.63.0+1 [3f19e933] p7zip_jll v17.5.0+1 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at first_rand_test.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/first_rand_test.jl:515 ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at first_rand_test.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/first_rand_test.jl:515 ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at first_rand_test.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/first_rand_test.jl:515 Test Summary: | Pass Total Time First Rand Tests | 4 4 51.6s 52.087068 seconds (29.70 M allocations: 1.660 GiB, 2.36% gc time, 63.44% compilation time: 12% of which was recompilation) Test Summary: | Total Time Inference Tests | 0 6.4s 11.501109 seconds (4.20 M allocations: 216.402 MiB, 0.68% gc time, 99.76% compilation time: 45% of which was recompilation) ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 WARNING: Method definition f(Any, Any, Any, Any) in module ##Linear RODE Tests#269 at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:4 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:25. ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 WARNING: Method definition f(Any, Any, Any, Any, Any) in module ##Linear RODE Tests#269 at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:15 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/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:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 WARNING: Method definition f(Any, Any, Any, Any, Any) in module ##Linear RODE Tests#269 at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:36 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/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:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: Linear indexing of `AbstractVectorOfArray` is deprecated. Change `A[i]` to `A.u[i]` │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at rode_linear_tests.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/rode_linear_tests.jl:515 Test Summary: | Pass Total Time Linear RODE Tests | 10 10 49.2s 49.209403 seconds (20.87 M allocations: 1.078 GiB, 0.90% gc time, 95.58% compilation time: 25% of which was recompilation) ┌ Warning: dt(2.220446049250313e-16) <= dtmin(2.220446049250313e-16) at t=0.322413017086231, and step error estimate = 3.3305229689146254e7. Aborting. There is either an error in your model specification or the true solution is unstable. └ @ SciMLBase ~/.julia/packages/SciMLBase/elLNZ/src/integrator_interface.jl:612 Test Summary: | Pass Total Time Complex Number Tests | 24 24 4m09.4s 249.430003 seconds (111.57 M allocations: 5.602 GiB, 1.41% gc time, 99.92% compilation time: <1% of which was recompilation) Test Summary: | Broken Total Time Static Array Tests | 4 4 18.7s 18.729380 seconds (13.95 M allocations: 713.307 MiB, 1.15% gc time, 99.82% compilation time) WARNING: Method definition f(Any, Any, Any, Any) in module ##Noise Type Tests#272 at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/test/noise_type_test.jl:3 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/test/noise_type_test.jl:18. WARNING: Method definition g(Any, Any, Any, Any) in module ##Noise Type Tests#272 at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/test/noise_type_test.jl:4 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/test/noise_type_test.jl:19. ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at noise_type_test.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/noise_type_test.jl:515 WARNING: Method definition f(Any, Any, Any, Any) in module ##Noise Type Tests#272 at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/test/noise_type_test.jl:18 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/test/noise_type_test.jl:40. WARNING: Method definition g(Any, Any, Any, Any) in module ##Noise Type Tests#272 at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/test/noise_type_test.jl:19 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/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:51 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/noise_type_test.jl:51 ┌ 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:57 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/noise_type_test.jl:57 WARNING: Method definition g(Any, Any, Any, Any) in module ##Noise Type Tests#272 at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/test/noise_type_test.jl:41 overwritten at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/test/noise_type_test.jl:63. ┌ Warning: `Base.getindex(A::AbstractDiffEqArray, i::Int)` is deprecated, use `Base.getindex(A, :, i)` instead. │ caller = top-level scope at noise_type_test.jl:515 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/noise_type_test.jl:515 ┌ 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:102 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/noise_type_test.jl:102 ┌ 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/OmgKe/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:111 └ @ Core ~/.julia/packages/StochasticDiffEq/OmgKe/test/noise_type_test.jl:111 Test Summary: | Pass Total Time Noise Type Tests | 2024 2024 2m22.7s 142.748273 seconds (44.76 M allocations: 2.265 GiB, 0.67% gc time, 96.94% compilation time: <1% of which was recompilation) Test Summary: | Pass Total Time Mass matrix tests | 5 5 1m32.4s 92.378009 seconds (46.18 M allocations: 2.334 GiB, 1.06% gc time, 99.88% compilation time: <1% of which was recompilation) Scalar g Vector g Implicit EM SKenCarp Test Summary: | Broken Total Time Outofplace Arrays Tests | 3 3 2m11.3s 131.356020 seconds (51.00 M allocations: 2.608 GiB, 1.31% gc time, 99.95% compilation time: 1% of which was recompilation) WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. To make this warning an error, and hence obtain a stack trace, use `julia --depwarn=error`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. To make this warning an error, and hence obtain a stack trace, use `julia --depwarn=error`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. To make this warning an error, and hence obtain a stack trace, use `julia --depwarn=error`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. To make this warning an error, and hence obtain a stack trace, use `julia --depwarn=error`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. To make this warning an error, and hence obtain a stack trace, use `julia --depwarn=error`. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. To make this warning an error, and hence obtain a stack trace, use `julia --depwarn=error`. WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in var"#bareiss_update_virtual_colswap_mtk!#1602"(Any, typeof(ModelingToolkit.bareiss_update_virtual_colswap_mtk!), Any, ModelingToolkit.SparseMatrixCLIL{T, Ti} where Ti<:Integer where T, Any, Any, Any, Any) at /home/pkgeval/.julia/packages/ModelingToolkit/S1kqK/src/systems/sparsematrixclil.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in var"#bareiss_update_virtual_colswap_mtk!#1602"(Any, typeof(ModelingToolkit.bareiss_update_virtual_colswap_mtk!), Any, ModelingToolkit.SparseMatrixCLIL{T, Ti} where Ti<:Integer where T, Any, Any, Any, Any) at /home/pkgeval/.julia/packages/ModelingToolkit/S1kqK/src/systems/sparsematrixclil.jl Test Summary: | Pass Total Time tdir Tests | 5 5 17m38.1s 1058.117261 seconds (200.72 M allocations: 11.007 GiB, 0.56% gc time, 36.11% compilation time: 26% 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/OmgKe/test/tstops_tests.jl:29 [ Info: 1 [ Info: 2 Test Summary: | Pass Total Time tstops Tests | 11 11 13.7s 13.729539 seconds (3.64 M allocations: 188.324 MiB, 0.67% gc time, 99.78% compilation time: 12% 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/elLNZ/src/integrator_interface.jl:589 Test Summary: | Pass Total Time saveat Tests | 10 10 1m05.0s 65.042785 seconds (24.90 M allocations: 1.277 GiB, 1.00% gc time, 99.85% compilation time: <1% of which was recompilation) Test Summary: | Total Time Oval2 | 0 0.7s 0.751461 seconds (534.03 k allocations: 27.753 MiB, 97.99% 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}, Rational{Int64}}, Float64, :Predictive}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Rational{Int64}}(1//100, 10, 1//5, 1//5, false, true, 0//1), 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}, Rational{Int64}}, Float64, :Predictive}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Rational{Int64}}(1//100, 10, 1//5, 1//5, false, true, 0//1), 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}, Rational{Int64}}, Float64, :Predictive}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Rational{Int64}}(1//100, 10, 1//5, 1//5, false, true, 0//1), 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}, Rational{Int64}}, Float64, :Predictive, SciMLBase.AlgorithmInterpretation.Stratonovich}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Rational{Int64}}(1//100, 10, 1//5, 1//5, false, true, 0//1), 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}, Rational{Int64}}, Float64, :Predictive}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Rational{Int64}}(1//100, 10, 1//5, 1//5, false, true, 0//1), 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}, Rational{Int64}}, Float64, :Predictive}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Rational{Int64}}(1//100, 10, 1//5, 1//5, false, true, 0//1), 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}, Rational{Int64}}, Float64, :Predictive, SciMLBase.AlgorithmInterpretation.Stratonovich}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Rational{Int64}}(1//100, 10, 1//5, 1//5, false, true, 0//1), 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}, Rational{Int64}}, Float64, :Predictive}(nothing, OrdinaryDiffEqNonlinearSolve.NLNewton{Rational{Int64}, Rational{Int64}, Rational{Int64}, Rational{Int64}}(1//100, 10, 1//5, 1//5, false, true, 0//1), 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/OmgKe/test/reversal_tests.jl:112 Got exception outside of a @test MethodError: no method matching (::Main.var"##Solver Reversal Tests#279".var"#2#3")(::Vector{Float64}, ::SciMLBase.NullParameters, ::Float64) The applicable method may be too new: running in world age 24144, while current world is 24146. An arithmetic 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 arithmetic expression. 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! Closest candidates are: (::Main.var"##Solver Reversal Tests#279".var"#2#3")(::Any, ::Any, ::Any) (method too new to be called from this world context.) @ Main.var"##Solver Reversal Tests#279" none:0 Stacktrace: [1] (::SciMLBase.SDEFunction{false, SciMLBase.FullSpecialize, Main.var"##Solver Reversal Tests#279".var"#2#3", 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})(::Vector{Float64}, ::Vararg{Any}) @ SciMLBase ~/.julia/packages/SciMLBase/elLNZ/src/scimlfunctions.jl:2510 [2] 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}, 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, Main.var"##Solver Reversal Tests#279".var"#2#3", 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, Main.var"##Solver Reversal Tests#279".var"#2#3", 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, StochasticDiffEq.SDEDefaultInit}, cache::StochasticDiffEq.EMConstantCache) @ StochasticDiffEq ~/.julia/packages/StochasticDiffEq/OmgKe/src/perform_step/low_order.jl:4 [3] 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}, 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, Main.var"##Solver Reversal Tests#279".var"#2#3", 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, Main.var"##Solver Reversal Tests#279".var"#2#3", 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, StochasticDiffEq.SDEDefaultInit}) @ StochasticDiffEq ~/.julia/packages/StochasticDiffEq/OmgKe/src/solve.jl:694 [4] __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, Main.var"##Solver Reversal Tests#279".var"#2#3", 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/OmgKe/src/solve.jl:7 [5] __solve (repeats 5 times) @ ~/.julia/packages/StochasticDiffEq/OmgKe/src/solve.jl:1 [inlined] [6] solve_call(_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, Main.var"##Solver Reversal Tests#279".var"#2#3", 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}; merge_callbacks::Bool, kwargshandle::Nothing, kwargs::@Kwargs{dt::Float64, adaptive::Bool}) @ DiffEqBase ~/.julia/packages/DiffEqBase/HyX7M/src/solve.jl:635 [7] solve_call @ ~/.julia/packages/DiffEqBase/HyX7M/src/solve.jl:592 [inlined] [8] #solve_up#36 @ ~/.julia/packages/DiffEqBase/HyX7M/src/solve.jl:1142 [inlined] [9] solve_up @ ~/.julia/packages/DiffEqBase/HyX7M/src/solve.jl:1120 [inlined] [10] #solve#34 @ ~/.julia/packages/DiffEqBase/HyX7M/src/solve.jl:1057 [inlined] [11] macro expansion @ ~/.julia/packages/StochasticDiffEq/OmgKe/test/reversal_tests.jl:136 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1813 [inlined] [13] top-level scope @ ~/.julia/packages/StochasticDiffEq/OmgKe/test/reversal_tests.jl:1832 [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [15] top-level scope @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 [16] macro expansion @ ~/.julia/packages/StochasticDiffEq/OmgKe/test/runtests.jl:31 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [18] macro expansion @ ~/.julia/packages/StochasticDiffEq/OmgKe/test/runtests.jl:31 [inlined] [19] eval(m::Module, e::Any) @ Core ./boot.jl:485 [20] macro expansion @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [inlined] [21] macro expansion @ ./timing.jl:611 [inlined] [22] macro expansion @ ~/.julia/packages/StochasticDiffEq/OmgKe/test/runtests.jl:31 [inlined] [23] macro expansion @ ./timing.jl:611 [inlined] [24] top-level scope @ ~/.julia/packages/StochasticDiffEq/OmgKe/test/runtests.jl:343 [25] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [26] top-level scope @ none:6 [27] eval(m::Module, e::Any) @ Core ./boot.jl:485 [28] exec_options(opts::Base.JLOptions) @ Base ./client.jl:295 [29] _start() @ Base ./client.jl:558 solver: StochasticDiffEq.EM{true}() Ito Solver Reversal Tests (in-place): Error During Test at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/test/reversal_tests.jl:112 Got exception outside of a @test MethodError: no method matching (::Main.var"##Solver Reversal Tests#279".var"#8#9")(::Vector{Float64}, ::Vector{Float64}, ::SciMLBase.NullParameters, ::Float64) The applicable method may be too new: running in world age 24144, while current world is 24148. An arithmetic 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 arithmetic expression. 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! Closest candidates are: (::Main.var"##Solver Reversal Tests#279".var"#8#9")(::Any, ::Any, ::Any, ::Any) (method too new to be called from this world context.) @ Main.var"##Solver Reversal Tests#279" none:0 Stacktrace: [1] (::SciMLBase.SDEFunction{true, SciMLBase.FullSpecialize, Main.var"##Solver Reversal Tests#279".var"#8#9", 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})(::Vector{Float64}, ::Vararg{Any}) @ SciMLBase ~/.julia/packages/SciMLBase/elLNZ/src/scimlfunctions.jl:2510 [2] 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}, 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, Main.var"##Solver Reversal Tests#279".var"#8#9", 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, Main.var"##Solver Reversal Tests#279".var"#8#9", 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, StochasticDiffEq.SDEDefaultInit}, cache::StochasticDiffEq.EMCache{Vector{Float64}, Vector{Float64}, Vector{Float64}}) @ StochasticDiffEq ~/.julia/packages/StochasticDiffEq/OmgKe/src/perform_step/low_order.jl:30 [3] 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}, 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, Main.var"##Solver Reversal Tests#279".var"#8#9", 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, Main.var"##Solver Reversal Tests#279".var"#8#9", 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, StochasticDiffEq.SDEDefaultInit}) @ StochasticDiffEq ~/.julia/packages/StochasticDiffEq/OmgKe/src/solve.jl:694 [4] __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, Main.var"##Solver Reversal Tests#279".var"#8#9", 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/OmgKe/src/solve.jl:7 [5] __solve (repeats 5 times) @ ~/.julia/packages/StochasticDiffEq/OmgKe/src/solve.jl:1 [inlined] [6] solve_call(_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, Main.var"##Solver Reversal Tests#279".var"#8#9", 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}; merge_callbacks::Bool, kwargshandle::Nothing, kwargs::@Kwargs{dt::Float64, adaptive::Bool}) @ DiffEqBase ~/.julia/packages/DiffEqBase/HyX7M/src/solve.jl:635 [7] solve_call @ ~/.julia/packages/DiffEqBase/HyX7M/src/solve.jl:592 [inlined] [8] #solve_up#36 @ ~/.julia/packages/DiffEqBase/HyX7M/src/solve.jl:1142 [inlined] [9] solve_up @ ~/.julia/packages/DiffEqBase/HyX7M/src/solve.jl:1120 [inlined] [10] #solve#34 @ ~/.julia/packages/DiffEqBase/HyX7M/src/solve.jl:1057 [inlined] [11] macro expansion @ ~/.julia/packages/StochasticDiffEq/OmgKe/test/reversal_tests.jl:136 [inlined] [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1813 [inlined] [13] top-level scope @ ~/.julia/packages/StochasticDiffEq/OmgKe/test/reversal_tests.jl:1832 [14] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [15] top-level scope @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 [16] macro expansion @ ~/.julia/packages/StochasticDiffEq/OmgKe/test/runtests.jl:31 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [18] macro expansion @ ~/.julia/packages/StochasticDiffEq/OmgKe/test/runtests.jl:31 [inlined] [19] eval(m::Module, e::Any) @ Core ./boot.jl:485 [20] macro expansion @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [inlined] [21] macro expansion @ ./timing.jl:611 [inlined] [22] macro expansion @ ~/.julia/packages/StochasticDiffEq/OmgKe/test/runtests.jl:31 [inlined] [23] macro expansion @ ./timing.jl:611 [inlined] [24] top-level scope @ ~/.julia/packages/StochasticDiffEq/OmgKe/test/runtests.jl:343 [25] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [26] top-level scope @ none:6 [27] eval(m::Module, e::Any) @ Core ./boot.jl:485 [28] exec_options(opts::Base.JLOptions) @ Base ./client.jl:295 [29] _start() @ Base ./client.jl:558 Test Summary: | Pass Error Total Time Solver Reversal Tests | 64 2 66 11m57.9s Additive Noise Solver Reversal Tests (out-of-place) | 14 14 1m29.4s Additive Noise Solver Reversal Tests (in-place) | 14 14 2m43.8s Stratonovich Solver Reversal Tests (out-of-place) | 18 18 1m26.0s Stratonovich Solver Reversal Tests (in-place) | 18 18 5m08.8s Ito Solver Reversal Tests (out-of-place) | 1 1 46.4s Ito Solver Reversal Tests (in-place) | 1 1 17.7s ERROR: LoadError: Some tests did not pass: 64 passed, 0 failed, 2 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/StochasticDiffEq/OmgKe/test/runtests.jl:16 Testing failed after 2614.69s ERROR: LoadError: ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 1 of 1 signal (10): User defined signal 1 _ZN4llvm19SmallPtrSetImplBase14insert_imp_bigEPKv at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) _ZL29collectTransitivePredecessorsPKN4llvm4LoopEPKNS_10BasicBlockERNS_15SmallPtrSetImplIS5_EE at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) _ZNK4llvm14LoopSafetyInfo23allLoopPathsLeadToBlockEPKNS_4LoopEPKNS_10BasicBlockEPKNS_13DominatorTreeE at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) _ZL30isSafeToExecuteUnconditionallyRN4llvm11InstructionEPKNS_13DominatorTreeEPKNS_17TargetLibraryInfoEPKNS_4LoopEPKNS_14LoopSafetyInfoEPNS_25OptimizationRemarkEmitterEPKS0_PNS_15AssumptionCacheEb at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) _ZN4llvm11hoistRegionEPNS_15DomTreeNodeBaseINS_10BasicBlockEEEPNS_9AAResultsEPNS_8LoopInfoEPNS_13DominatorTreeEPNS_15AssumptionCacheEPNS_17TargetLibraryInfoEPNS_4LoopERNS_16MemorySSAUpdaterEPNS_15ScalarEvolutionEPNS_17ICFLoopSafetyInfoERNS_21SinkAndHoistLICMFlagsEPNS_25OptimizationRemarkEmitterEbb at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) _ZN12_GLOBAL__N_123LoopInvariantCodeMotion9runOnLoopEPN4llvm4LoopEPNS1_9AAResultsEPNS1_8LoopInfoEPNS1_13DominatorTreeEPNS1_15AssumptionCacheEPNS1_17TargetLibraryInfoEPNS1_19TargetTransformInfoEPNS1_15ScalarEvolutionEPNS1_9MemorySSAEPNS1_25OptimizationRemarkEmitterEb.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) _ZN4llvm8LICMPass3runERNS_4LoopERNS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEES5_RNS_10LPMUpdaterE at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:89 _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE13runSinglePassIS1_St10unique_ptrINS_6detail11PassConceptIS1_S5_JS4_S7_EEESt14default_deleteISD_EEEESt8optionalINS_17PreservedAnalysesEERT_RT0_RS5_S4_S7_RNS_19PassInstrumentationE.isra.0 at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE24runWithoutLoopNestPassesERS1_RS5_S4_S7_ at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) _ZN4llvm11PassManagerINS_4LoopENS_15AnalysisManagerIS1_JRNS_27LoopStandardAnalysisResultsEEEEJS4_RNS_10LPMUpdaterEEE3runERS1_RS5_S4_S7_ at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:89 _ZN4llvm25FunctionToLoopPassAdaptor3runERNS_8FunctionERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:89 run at /source/usr/include/llvm/IR/PassManager.h:543 [inlined] run at /source/usr/include/llvm/IR/PassManagerInternal.h:89 _ZN4llvm27ModuleToFunctionPassAdaptor3runERNS_6ModuleERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:89 _ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.18.1jl (unknown line) run at /source/src/pipeline.cpp:740 operator() at /source/src/jitlayers.cpp:1532 withModuleDo<(anonymous namespace)::sizedOptimizerT::operator()(llvm::orc::ThreadSafeModule) [with long unsigned int N = 4]:: > at /source/usr/include/llvm/ExecutionEngine/Orc/ThreadSafeModule.h:136 [inlined] operator() at /source/src/jitlayers.cpp:1493 [inlined] operator() at /source/src/jitlayers.cpp:1645 [inlined] addModule at /source/src/jitlayers.cpp:2104 jl_compile_codeinst_now at /source/src/jitlayers.cpp:569 _jl_compile_codeinst at /source/src/jitlayers.cpp:758 [inlined] jl_compile_codeinst_impl at /source/src/jitlayers.cpp:902 jl_compile_method_internal at /source/src/gf.c:2890 _jl_invoke at /source/src/gf.c:3351 [inlined] ijl_apply_generic at /source/src/gf.c:3547 #showerror#809 at ./errorshow.jl:114 showerror at ./errorshow.jl:112 unknown function (ip: 0x70fe7ad8a4d8) at (unknown file) _jl_invoke at /source/src/gf.c:3359 [inlined] ijl_apply_generic at /source/src/gf.c:3547 show_exception_stack at ./errorshow.jl:1013 display_error at ./client.jl:117 unknown function (ip: 0x70fe7ad89b76) at (unknown file) _jl_invoke at /source/src/gf.c:3359 [inlined] ijl_apply_generic at /source/src/gf.c:3547 display_error at ./client.jl:120 unknown function (ip: 0x70fe7ad844f2) at (unknown file) _jl_invoke at /source/src/gf.c:3359 [inlined] ijl_apply_generic at /source/src/gf.c:3547 jl_apply at /source/src/julia.h:2244 [inlined] jl_f__call_latest at /source/src/builtins.c:883 Package StochasticDiffEq errored during testing#invokelatest#1 at ./essentials.jl:1056 [inlined] invokelatest at ./essentials.jl:1052 [inlined] exec_options at ./client.jl:332 _start at ./client.jl:558 jfptr__start_108457.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:3359 [inlined] ijl_apply_generic at /source/src/gf.c:3547 jl_apply at /source/src/julia.h:2244 [inlined] true_main at /source/src/jlapi.c:922 jl_repl_entrypoint at /source/src/jlapi.c:1081 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x70fe8470a249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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/v1.12/Pkg/src/Operations.jl:2359 [3] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2214 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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/v1.12/Pkg/src/API.jl:481 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:159 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:147 [7] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:147 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:146 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:300 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:329 [12] _start() @ Base ./client.jl:558 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 ============================================================== Profile collected. A report will print at the next yield point ============================================================== PkgEval terminated after 2704.93s: test duration exceeded the time limit