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Description
Describe the bug 🐞
In integrating a system with a very large number of callbacks (method similar to https://pmc.ncbi.nlm.nih.gov/articles/PMC10470263/ for a large system of biological reactions), a very small proportion of the time solve() will fail with a "Double callback crossing floating pointer reducer errored".
The issue seems to be that in determine_event_occurrence(integrator, callback::VectorContinuousCallback, counter), the value of integrator.last_event_error from the previous event is used to decide whether or not to slightly nudge the point at which the condition is evaluated
DiffEqBase.jl/src/callbacks.jl
Line 215 in 2ff29cc
| abst = integrator.tprev + integrator.dt * callback.repeat_nudge |
However, in function find_callback_time(integrator, callback::VectorContinuousCallback, counter), if multiple events are detected in the same timestep, then the value of integrator.last_event_error is changed during the loop over event_idx at
DiffEqBase.jl/src/callbacks.jl
Line 513 in 2ff29cc
| integrator.last_event_error = DiffEqBase.value(ODE_DEFAULT_NORM( |
DiffEqBase.jl/src/callbacks.jl
Lines 494 to 507 in 2ff29cc
| if integrator.event_last_time == counter && | |
| integrator.vector_event_last_time == idx && | |
| abs(zero_func(bottom_t)) <= | |
| 100abs(integrator.last_event_error) && | |
| prev_sign_index == 1 | |
| # Determined that there is an event by derivative | |
| # But floating point error may make the end point negative | |
| bottom_t += integrator.dt * callback.repeat_nudge | |
| sign_top = sign(zero_func(top_t)) | |
| sign(zero_func(bottom_t)) * sign_top >= zero(sign_top) && | |
| error("Double callback crossing floating pointer reducer errored. Report this issue.") | |
| end |
Expected behavior
Either the event is skipped, or the event fires, without terminating the program.
I suspect the fix is to delay updating integrator.last_event_error until after all event indices have been processed.
Minimal Reproducible Example 👇
This is difficult because of the size of the system, and because it is highly floating-point error dependent. However, on my system the following, very artificial example reproduces the bug.
using OrdinaryDiffEq
using DiffEqCallbacks
using Random
n = 2
function ode(y, p, t)
[1.0, 1.0]
end
function jump!(integrator, event_idx)
integrator.last_event_error = 1e-30
integrator.u .= [-1e-10, -1e-20]
end
function condition(out, u, t, integrator)
out .= u
end
cb = VectorContinuousCallback(condition, jump!, n)
u0 = [-0.1, -0.1]
T_end = 1
ode_f = ODEFunction(ode)
prob = ODEProblem(ode_f, u0, (0.0, T_end))
sol = solve(prob, Tsit5(), saveat = 0.1, callback = cb)Error & Stacktrace
ERROR: LoadError: Double callback crossing floating pointer reducer errored. Report this issue.
Stacktrace:
[1] error(s::String)
@ Base ./error.jl:44
[2] find_callback_time(integrator::OrdinaryDiffEqCore.ODEIntegrator{Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, Vector{Float64}, Nothing, Float64, SciMLBase.NullParameters, Float64, Float64, Float64, Float64, Vector{Vector{Float64}}, ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, false, SciMLBase.NullParameters, ODEFunction{false, SciMLBase.FullSpecialize, typeof(ode), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{ODEFunction{false, SciMLBase.FullSpecialize, typeof(ode), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, ODEFunction{false, SciMLBase.FullSpecialize, typeof(ode), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, PIController{Rational{Int64}}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(LinearAlgebra.opnorm), Nothing, CallbackSet{Tuple{VectorContinuousCallback{typeof(condition), typeof(jump!), typeof(jump!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Float64, Int64, Rational{Int64}, Nothing, Nothing, Int64, 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, Tuple{}, Tuple{}, Tuple{}}, Vector{Float64}, Float64, DiffEqBase.CallbackCache{Vector{Float64}, Vector{Float64}}, DiffEqBase.DefaultInit, Nothing}, callback::VectorContinuousCallback{typeof(condition), typeof(jump!), typeof(jump!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Float64, Int64, Rational{Int64}, Nothing, Nothing, Int64, Tuple{}}, counter::Int64)
@ DiffEqBase ~/.julia/packages/DiffEqBase/6sydR/src/callbacks.jl:505
[3] macro expansion
@ ~/.julia/packages/DiffEqBase/6sydR/src/callbacks.jl:130 [inlined]
[4] find_first_continuous_callback
@ ~/.julia/packages/DiffEqBase/6sydR/src/callbacks.jl:125 [inlined]
[5] find_first_continuous_callback
@ ~/.julia/packages/DiffEqBase/6sydR/src/callbacks.jl:123 [inlined]
[6] handle_callbacks!
@ ~/.julia/packages/OrdinaryDiffEqCore/GMkz9/src/integrators/integrator_utils.jl:379 [inlined]
[7] _loopfooter!(integrator::OrdinaryDiffEqCore.ODEIntegrator{Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, Vector{Float64}, Nothing, Float64, SciMLBase.NullParameters, Float64, Float64, Float64, Float64, Vector{Vector{Float64}}, ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, false, SciMLBase.NullParameters, ODEFunction{false, SciMLBase.FullSpecialize, typeof(ode), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{ODEFunction{false, SciMLBase.FullSpecialize, typeof(ode), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, ODEFunction{false, SciMLBase.FullSpecialize, typeof(ode), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, PIController{Rational{Int64}}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(LinearAlgebra.opnorm), Nothing, CallbackSet{Tuple{VectorContinuousCallback{typeof(condition), typeof(jump!), typeof(jump!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Float64, Int64, Rational{Int64}, Nothing, Nothing, Int64, 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, Tuple{}, Tuple{}, Tuple{}}, Vector{Float64}, Float64, DiffEqBase.CallbackCache{Vector{Float64}, Vector{Float64}}, DiffEqBase.DefaultInit, Nothing})
@ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/GMkz9/src/integrators/integrator_utils.jl:284
[8] loopfooter!
@ ~/.julia/packages/OrdinaryDiffEqCore/GMkz9/src/integrators/integrator_utils.jl:248 [inlined]
[9] solve!(integrator::OrdinaryDiffEqCore.ODEIntegrator{Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, Vector{Float64}, Nothing, Float64, SciMLBase.NullParameters, Float64, Float64, Float64, Float64, Vector{Vector{Float64}}, ODESolution{Float64, 2, Vector{Vector{Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, false, SciMLBase.NullParameters, ODEFunction{false, SciMLBase.FullSpecialize, typeof(ode), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{ODEFunction{false, SciMLBase.FullSpecialize, typeof(ode), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{Vector{Float64}}, Vector{Float64}, Vector{Vector{Vector{Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, ODEFunction{false, SciMLBase.FullSpecialize, typeof(ode), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, PIController{Rational{Int64}}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(LinearAlgebra.opnorm), Nothing, CallbackSet{Tuple{VectorContinuousCallback{typeof(condition), typeof(jump!), typeof(jump!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Float64, Int64, Rational{Int64}, Nothing, Nothing, Int64, 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, Tuple{}, Tuple{}, Tuple{}}, Vector{Float64}, Float64, DiffEqBase.CallbackCache{Vector{Float64}, Vector{Float64}}, DiffEqBase.DefaultInit, Nothing})
@ OrdinaryDiffEqCore ~/.julia/packages/OrdinaryDiffEqCore/GMkz9/src/solve.jl:612
[10] #__solve#49
@ ~/.julia/packages/OrdinaryDiffEqCore/GMkz9/src/solve.jl:7 [inlined]
[11] __solve
@ ~/.julia/packages/OrdinaryDiffEqCore/GMkz9/src/solve.jl:1 [inlined]
[12] #solve_call#24
@ ~/.julia/packages/DiffEqBase/6sydR/src/solve.jl:142 [inlined]
[13] solve_call
@ ~/.julia/packages/DiffEqBase/6sydR/src/solve.jl:109 [inlined]
[14] solve_up(prob::ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, false, SciMLBase.NullParameters, ODEFunction{false, SciMLBase.FullSpecialize, typeof(ode), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, sensealg::Nothing, u0::Vector{Float64}, p::SciMLBase.NullParameters, args::Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}; originator::SciMLBase.ChainRulesOriginator, kwargs::@Kwargs{callback::VectorContinuousCallback{typeof(condition), typeof(jump!), typeof(jump!), typeof(SciMLBase.INITIALIZE_DEFAULT), typeof(SciMLBase.FINALIZE_DEFAULT), Float64, Int64, Rational{Int64}, Nothing, Nothing, Int64, Tuple{}}})
@ DiffEqBase ~/.julia/packages/DiffEqBase/6sydR/src/solve.jl:578
[15] solve_up
@ ~/.julia/packages/DiffEqBase/6sydR/src/solve.jl:555 [inlined]
[16] #solve#30
@ ~/.julia/packages/DiffEqBase/6sydR/src/solve.jl:545 [inlined]
[17] top-level scope
@ ~/julia_bug/callback_test.jl:32
[18] include(mod::Module, _path::String)
@ Base ./Base.jl:306
[19] exec_options(opts::Base.JLOptions)
@ Base ./client.jl:317
[20] _start()
@ Base ./client.jl:550
in expression starting at /home/foz/julia_bug/callback_test.jl:32Environment (please complete the following information):
- Output of
using Pkg; Pkg.status()
Status `~/julia_bug/Project.toml`
[459566f4] DiffEqCallbacks v4.10.1
[0c46a032] DifferentialEquations v7.17.0
[1dea7af3] OrdinaryDiffEq v6.103.0- Output of
using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
Status `~/julia_bug/Manifest.toml`
[47edcb42] ADTypes v1.20.0
[7d9f7c33] Accessors v0.1.43
[79e6a3ab] Adapt v4.4.0
[66dad0bd] AliasTables v1.1.3
[a95523ee] AlmostBlockDiagonals v0.1.10
[ec485272] ArnoldiMethod v0.4.0
[4fba245c] ArrayInterface v7.22.0
[4c555306] ArrayLayouts v1.12.2
[aae01518] BandedMatrices v1.10.2
[62783981] BitTwiddlingConvenienceFunctions v0.1.6
[764a87c0] BoundaryValueDiffEq v5.18.0
[7227322d] BoundaryValueDiffEqAscher v1.8.0
[56b672f2] BoundaryValueDiffEqCore v1.11.1
[85d9eb09] BoundaryValueDiffEqFIRK v1.9.0
[1a22d4ce] BoundaryValueDiffEqMIRK v1.9.0
[9255f1d6] BoundaryValueDiffEqMIRKN v1.8.0
[ed55bfe0] BoundaryValueDiffEqShooting v1.9.0
[70df07ce] BracketingNonlinearSolve v1.6.0
[fa961155] CEnum v0.5.0
[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 v0.19.3
[bcd4f6db] DelayDiffEq v5.62.0
[2b5f629d] DiffEqBase v6.192.0
[459566f4] DiffEqCallbacks v4.10.1
[77a26b50] DiffEqNoiseProcess v5.24.1
[163ba53b] DiffResults v1.1.0
[b552c78f] DiffRules v1.15.1
[0c46a032] DifferentialEquations v7.17.0
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[4e289a0a] EnumX v1.0.5
[f151be2c] EnzymeCore v0.8.17
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[e2ba6199] ExprTools v0.1.10
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[9d29842c] FastAlmostBandedMatrices v0.1.5
[7034ab61] FastBroadcast v0.3.5
[9aa1b823] FastClosures v0.3.2
[442a2c76] FastGaussQuadrature v1.1.0
[a4df4552] FastPower v1.2.0
[1a297f60] FillArrays v1.15.0
[6a86dc24] FiniteDiff v2.29.0
[f6369f11] ForwardDiff v1.3.0
[069b7b12] FunctionWrappers v1.1.3
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[46192b85] GPUArraysCore v0.2.0
[c145ed77] GenericSchur v0.5.6
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[34004b35] HypergeometricFunctions v0.3.28
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[2d8b4e74] LevyArea v1.0.0
[87fe0de2] LineSearch v0.1.4
[d3d80556] LineSearches v7.5.1
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[2ab3a3ac] LogExpFunctions v0.3.29
[e6f89c97] LoggingExtras v1.2.0
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[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
[77ba4419] NaNMath v1.1.3
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[5959db7a] NonlinearSolveFirstOrder v1.10.0
[9a2c21bd] NonlinearSolveQuasiNewton v1.11.0
[26075421] NonlinearSolveSpectralMethods v1.6.0
[429524aa] Optim v1.13.3
[bac558e1] OrderedCollections v1.8.1
[1dea7af3] OrdinaryDiffEq v6.103.0
[89bda076] OrdinaryDiffEqAdamsBashforthMoulton v1.5.0
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[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 v0.11.36
[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 v3.39.0
[189a3867] Reexport v1.2.2
[ae029012] Requires v1.3.1
[ae5879a3] ResettableStacks v1.1.1
[79098fc4] Rmath v0.9.0
[7e49a35a] RuntimeGeneratedFunctions v0.5.16
[94e857df] SIMDTypes v0.1.0
[0bca4576] SciMLBase v2.128.0
[19f34311] SciMLJacobianOperators v0.1.11
[a6db7da4] SciMLLogging v1.7.0
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[a2af1166] SortingAlgorithms v1.2.2
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[0a514795] SparseMatrixColorings v0.4.23
[276daf66] SpecialFunctions v2.6.1
[aedffcd0] Static v1.3.1
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[90137ffa] StaticArrays v1.9.15
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[4c63d2b9] StatsFuns v1.5.2
[9672c7b4] SteadyStateDiffEq v2.8.0
[789caeaf] StochasticDiffEq v6.85.0
[7792a7ef] StrideArraysCore v0.5.8
[c3572dad] Sundials v5.1.0
[2efcf032] SymbolicIndexingInterface v0.3.46
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[3a884ed6] UnPack v1.0.2
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[fb77eaff] Sundials_jll v7.5.0+0
[1317d2d5] oneTBB_jll v2022.0.0+1
[0dad84c5] ArgTools v1.1.2
[56f22d72] Artifacts v1.11.0
[2a0f44e3] Base64 v1.11.0
[ade2ca70] Dates v1.11.0
[8ba89e20] Distributed v1.11.0
[f43a241f] Downloads v1.7.0
[7b1f6079] FileWatching v1.11.0
[9fa8497b] Future v1.11.0
[b77e0a4c] InteractiveUtils v1.11.0
[ac6e5ff7] JuliaSyntaxHighlighting v1.12.0
[4af54fe1] LazyArtifacts v1.11.0
[b27032c2] LibCURL v0.6.4
[76f85450] LibGit2 v1.11.0
[8f399da3] Libdl v1.11.0
[37e2e46d] LinearAlgebra v1.12.0
[56ddb016] Logging v1.11.0
[d6f4376e] Markdown v1.11.0
[ca575930] NetworkOptions v1.3.0
[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
[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 v1.3.0+1
[deac9b47] LibCURL_jll v8.15.0+0
[e37daf67] LibGit2_jll v1.9.0+0
[29816b5a] LibSSH2_jll v1.11.3+1
[14a3606d] MozillaCACerts_jll v2025.5.20
[4536629a] OpenBLAS_jll v0.3.29+0
[05823500] OpenLibm_jll v0.8.7+0
[458c3c95] OpenSSL_jll v3.5.4+0
[bea87d4a] SuiteSparse_jll v7.8.3+2
[83775a58] Zlib_jll v1.3.1+2
[8e850b90] libblastrampoline_jll v5.15.0+0
[8e850ede] nghttp2_jll v1.64.0+1
[3f19e933] p7zip_jll v17.7.0+0
- Output of
versioninfo()
Julia Version 1.12.2
Commit ca9b6662be4 (2025-11-20 16:25 UTC)
Build Info:
Official https://julialang.org release
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: 12 × AMD Ryzen 5 3600 6-Core Processor
WORD_SIZE: 64
LLVM: libLLVM-18.1.7 (ORCJIT, znver2)
GC: Built with stock GC
Threads: 1 default, 1 interactive, 1 GC (on 12 virtual cores)
Environment:
LD_LIBRARY_PATH = /usr/local/cuda-11.6/lib64:Additional context
The comments (e.g. at
DiffEqBase.jl/src/callbacks.jl
Line 201 in 2ff29cc
| # If there was a previous event, utilize the derivative at the start to |