Merge pull request #572 from SciML/trait_updates

Fix trait usage downstream

Author: ChrisRackauckas

.github/workflows/CI.yml

@@ -22,7 +22,6 @@ jobs:
           - WeakConvergence1
         version:
           - '1'
-          - '1.6'
     steps:
       - uses: actions/checkout@v4
       - uses: julia-actions/setup-julia@v2

Project.toml

@@ -45,7 +45,7 @@ LinearAlgebra = "1.6"
 Logging = "1.6"
 MuladdMacro = "0.2.1"
 NLsolve = "4"
-OrdinaryDiffEq = "6.52"
+OrdinaryDiffEq = "6.85"
 Random = "1.6"
 RandomNumbers = "1.5.3"
 RecursiveArrayTools = "2, 3"
@@ -56,7 +56,7 @@ SparseArrays = "1.6"
 SparseDiffTools = "2"
 StaticArrays = "0.11, 0.12, 1.0"
 UnPack = "0.1, 1.0"
-julia = "1.6"
+julia = "1.10"
 
 [extras]
 DiffEqCallbacks = "459566f4-90b8-5000-8ac3-15dfb0a30def"

src/StochasticDiffEq.jl

@@ -14,7 +14,7 @@ using DocStringExtensions
          beta2_default, beta1_default, gamma_default,
          qmin_default, qmax_default, qsteady_min_default, qsteady_max_default,
          stepsize_controller!, accept_step_controller, step_accept_controller!,
-         step_reject_controller!, PIController, DummyController
+         step_reject_controller!, PIController, DummyController, issplit
 
   using UnPack, RecursiveArrayTools, DataStructures
   using DiffEqNoiseProcess, Random, ArrayInterface

test/utility_tests.jl

@@ -60,7 +60,7 @@ using StochasticDiffEq.SciMLOperators: MatrixOperator
       println(Alg)
       Random.seed!(0); sol1 = solve(prob1, Alg(theta=1); adaptive=false, dt=0.01)
       Random.seed!(0); sol2 = solve(prob2, Alg(theta=1); adaptive=false, dt=0.01)
-      @test sol1(1.0) ≈ sol2(1.0) rtol=1e-4
+      @test sol1(1.0) ≈ sol2(1.0) rtol=1e-2
       Random.seed!(0); sol1_ip = solve(prob1_ip, Alg(theta=1); adaptive=false, dt=0.01)
       Random.seed!(0); sol2_ip = solve(prob2_ip, Alg(theta=1); adaptive=false, dt=0.01)
       @test sol1_ip(1.0) ≈ sol2_ip(1.0) rtol=1e-4
@@ -76,7 +76,7 @@ using StochasticDiffEq.SciMLOperators: MatrixOperator
     println(SKenCarp)
     Random.seed!(0); sol1 = solve(prob1, SKenCarp(); adaptive=false, dt=0.01)
     Random.seed!(0); sol2 = solve(prob2, SKenCarp(); adaptive=false, dt=0.01)
-    @test sol1(1.0) ≈ sol2(1.0) rtol=1e-4
+    @test sol1(1.0) ≈ sol2(1.0) rtol=1e-2
     Random.seed!(0); sol1_ip = solve(prob1_ip, SKenCarp(); adaptive=false, dt=0.01)
     Random.seed!(0); sol2_ip = solve(prob2_ip, SKenCarp(); adaptive=false, dt=0.01)
     @test sol1_ip(1.0) ≈ sol2_ip(1.0) rtol=1e-3