Migrate to SciMLBase v3 / DiffEqBase v7 / RecursiveArrayTools v4

ChrisRackauckas · claude · ChrisRackauckas · commit ee060af47376 · 2026-04-24T01:59:57.000-04:00
Replace removed `DiffEqBase.DESolution` type alias (dropped in SciMLBase v3) with the concrete `SciMLBase.AbstractTimeseriesSolution` supertype used by `ODESolution` and friends. Switch the successful-retcode check to `SciMLBase.successful_retcode` directly now that the `DiffEqBase.SciMLBase` re-export namespace is no longer guaranteed. Fix a latent RecursiveArrayTools v4 breakage in the DataDrivenDMD `linear_forced` test: `length(sol_cont)` previously returned the number of timesteps, but under RAT v4 `AbstractVectorOfArray <: AbstractArray` it returns `prod(size(sol))` (total elements). Switch to `length(sol_cont.t)` which is the stable way to get the timestep count. Widen `Project.toml` compats across the main package and every `lib/*/Project.toml`: - `DiffEqBase = "6.211, 7"` (root) - `SciMLBase = "2.155, 3"` (root; new direct dep to access `AbstractTimeseriesSolution`) - `OrdinaryDiffEqTsit5 = "1, 2"` (test extra) - `OrdinaryDiffEq = "6, 7"` in DataDrivenDMD / DataDrivenSparse / DataDrivenLux test targets - Pin subpackage `DataDrivenDiffEq` compat to `"1.14"` so they pull in this release Bumps: - DataDrivenDiffEq: 1.13.0 -> 1.14.0 - DataDrivenDMD: 0.1.2 -> 0.1.3 - DataDrivenSparse: 0.1.3 -> 0.1.4 - DataDrivenSR: 0.1.3 -> 0.1.4 - DataDrivenLux: 0.2.2 -> 0.2.3 Supersedes Dependabot PR #594, which only widened the `DiffEqBase` compat without handling the code-level breaking changes. Co-Authored-By: Chris Rackauckas <accounts@chrisrackauckas.com> Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
diff --git a/Project.toml b/Project.toml
@@ -1,7 +1,7 @@
 name = "DataDrivenDiffEq"
 uuid = "2445eb08-9709-466a-b3fc-47e12bd697a2"
 authors = ["Julius Martensen <julius.martensen@gmail.com>"]
-version = "1.13.0"
+version = "1.14.0"
 
 [deps]
 CommonSolve = "38540f10-b2f7-11e9-35d8-d573e4eb0ff2"
@@ -18,6 +18,7 @@ QuadGK = "1fd47b50-473d-5c70-9696-f719f8f3bcdc"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
+SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
 SciMLStructures = "53ae85a6-f571-4167-b2af-e1d143709226"
 Setfield = "efcf1570-3423-57d1-acb7-fd33fddbac46"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
@@ -28,17 +29,18 @@ Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
 [compat]
 CommonSolve = "0.2"
 DataInterpolations = "4, 5, 6, 7, 8"
-DiffEqBase = "6"
+DiffEqBase = "6.211, 7"
 DocStringExtensions = "0.7, 0.8, 0.9"
 MLUtils = "0.3, 0.4"
 ModelingToolkit = "11"
-OrdinaryDiffEqTsit5 = "1"
+OrdinaryDiffEqTsit5 = "1, 2"
 Parameters = "0.12"
 PrecompileTools = "1"
 ProgressMeter = "1.6"
 QuadGK = "2.4"
 RecipesBase = "1"
 Reexport = "1.0"
+SciMLBase = "2.155, 3"
 SciMLStructures = "1"
 Setfield = "1"
 Statistics = "1"
diff --git a/lib/DataDrivenDMD/Project.toml b/lib/DataDrivenDMD/Project.toml
@@ -1,14 +1,15 @@
 name = "DataDrivenDMD"
 uuid = "3c9adf31-5280-42ff-b439-b71cc6b07807"
 authors = ["JuliusMartensen <julius.martensen@gmail.com>"]
-version = "0.1.2"
+version = "0.1.3"
 
 [deps]
 DataDrivenDiffEq = "2445eb08-9709-466a-b3fc-47e12bd697a2"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 
 [compat]
-DataDrivenDiffEq = "1"
+DataDrivenDiffEq = "1.14"
+OrdinaryDiffEq = "6, 7"
 julia = "1.10"
 
 [extras]
diff --git a/lib/DataDrivenDMD/test/linear_forced.jl b/lib/DataDrivenDMD/test/linear_forced.jl
@@ -17,7 +17,7 @@ rng = StableRNG(42)
     u0 = [1.0; 1.0]
     prob_cont = ODEProblem(linear, u0, (0.0, 30.0))
     sol_cont = solve(prob_cont, Tsit5())
-    U = reshape(map(t -> sin(t), sol_cont.t), 1, length(sol_cont))
+    U = reshape(map(t -> sin(t), sol_cont.t), 1, length(sol_cont.t))
 
     ddprob = DataDrivenProblem(sol_cont, U = U, use_interpolation = true)
 
diff --git a/lib/DataDrivenLux/Project.toml b/lib/DataDrivenLux/Project.toml
@@ -1,6 +1,6 @@
 name = "DataDrivenLux"
 uuid = "47881146-99d0-492a-8425-8f2f33327637"
-version = "0.2.2"
+version = "0.2.3"
 authors = ["JuliusMartensen <julius.martensen@gmail.com>"]
 
 [deps]
@@ -36,7 +36,8 @@ ChainRulesCore = "1.15"
 CommonSolve = "0.2.4"
 ComponentArrays = "0.15"
 ConcreteStructs = "0.2.3"
-DataDrivenDiffEq = "1"
+DataDrivenDiffEq = "1.14"
+OrdinaryDiffEq = "6, 7"
 Distributions = "0.25"
 DistributionsAD = "0.6"
 DocStringExtensions = "0.9.3"
diff --git a/lib/DataDrivenSR/Project.toml b/lib/DataDrivenSR/Project.toml
@@ -1,7 +1,7 @@
 name = "DataDrivenSR"
 uuid = "7fed8a53-d475-4873-af3a-ba53cceea094"
 authors = ["JuliusMartensen <julius.martensen@gmail.com>"]
-version = "0.1.3"
+version = "0.1.4"
 
 [deps]
 DataDrivenDiffEq = "2445eb08-9709-466a-b3fc-47e12bd697a2"
@@ -10,7 +10,7 @@ SymbolicRegression = "8254be44-1295-4e6a-a16d-46603ac705cb"
 
 [compat]
 Reexport = "1.2"
-DataDrivenDiffEq = "1"
+DataDrivenDiffEq = "1.14"
 SymbolicRegression = "1"
 julia = "1.10"
 
diff --git a/lib/DataDrivenSparse/Project.toml b/lib/DataDrivenSparse/Project.toml
@@ -1,7 +1,7 @@
 name = "DataDrivenSparse"
 uuid = "5b588203-7d8b-4fab-a537-c31a7f73f46b"
 authors = ["JuliusMartensen <julius.martensen@gmail.com>"]
-version = "0.1.3"
+version = "0.1.4"
 
 [deps]
 DataDrivenDiffEq = "2445eb08-9709-466a-b3fc-47e12bd697a2"
@@ -12,7 +12,8 @@ Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 
 [compat]
 julia = "1.10"
-DataDrivenDiffEq = "1"
+DataDrivenDiffEq = "1.14"
+OrdinaryDiffEq = "6, 7"
 Reexport = "1.2"
 
 [extras]
diff --git a/src/DataDrivenDiffEq.jl b/src/DataDrivenDiffEq.jl
@@ -6,6 +6,7 @@ module DataDrivenDiffEq
 using LinearAlgebra
 
 using DiffEqBase
+using SciMLBase: SciMLBase, AbstractTimeseriesSolution
 using CommonSolve
 using Reexport
 
diff --git a/src/problem/set.jl b/src/problem/set.jl
@@ -39,7 +39,7 @@ end
 function DataDrivenDataset(
         solutions::Vararg{T, N}; name = gensym(:DDSet),
         kwargs...
-    ) where {T <: DiffEqBase.DESolution, N}
+    ) where {T <: SciMLBase.AbstractTimeseriesSolution, N}
     probs = map(solutions) do s
         DataDrivenProblem(s; kwargs...)
     end
diff --git a/src/problem/type.jl b/src/problem/type.jl
@@ -512,13 +512,13 @@ macro is_applicable(problem, basis, dx)
     end
 end
 
-## DESolution dispatch
+## AbstractTimeseriesSolution dispatch (was DESolution in SciMLBase v2)
 
 function DataDrivenProblem(
         sol::T; use_interpolation = false,
         kwargs...
-    ) where {T <: DiffEqBase.DESolution}
-    if !DiffEqBase.SciMLBase.successful_retcode(sol)
+    ) where {T <: SciMLBase.AbstractTimeseriesSolution}
+    if !SciMLBase.successful_retcode(sol)
         throw(AssertionError("The solution is not successful. Abort."))
         return
     end
