[pull] master from SciML:master

.github/workflows/Tests.yml

@@ -18,14 +18,5 @@ concurrency:
 
 jobs:
   tests:
-    name: "Tests"
-    strategy:
-      fail-fast: false
-      matrix:
-        version:
-          - "1"
-          - "lts"
-    uses: "SciML/.github/.github/workflows/tests.yml@v1"
-    with:
-      julia-version: "${{ matrix.version }}"
+    uses: "SciML/.github/.github/workflows/grouped-tests.yml@v1"
     secrets: "inherit"

Project.toml

@@ -11,17 +11,18 @@ Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 
 [compat]
 DiffEqBase = "6.122, 7"
-JET = "0.9, 0.10, 0.11"
 MATLAB = "0.8, 0.9, 0.10"
 ModelingToolkit = "8, 9, 10, 11"
+ParameterizedFunctions = "5"
 PrecompileTools = "1"
 Reexport = "0.2, 1.0"
-julia = "1.6"
+Test = "<0.0.1, 1"
+julia = "1.10"
 
 [extras]
-JET = "c3a54625-cd67-489e-a8e7-0a5a0ff4e31b"
 ParameterizedFunctions = "65888b18-ceab-5e60-b2b9-181511a3b968"
+Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["Test", "ParameterizedFunctions", "JET"]
+test = ["Test", "ParameterizedFunctions", "Pkg"]

test/jet_tests.jl

@@ -1,18 +1,12 @@
-# JET.jl static analysis tests for MATLABDiffEq
-# These tests verify type stability and catch potential runtime errors
-# They can run without MATLAB installed since they only test Julia code
+# Static type-stability tests for MATLABDiffEq
+# These tests verify type stability and catch potential runtime errors.
+# They run without MATLAB installed since they only test Julia code.
+# JET/Aqua static analysis of the package itself lives in the QA group
+# (test/qa/qa.jl); this file holds the functional type-stability checks.
 
 using Test
 using DiffEqBase
 
-# JET is an optional test dependency
-const HAS_JET = try
-    @eval using JET
-    true
-catch
-    false
-end
-
 # Import buildDEStats for testing - we need to access it from the module
 # Since MATLABDiffEq requires MATLAB, we'll test the function pattern directly
 
@@ -65,14 +59,6 @@ end
         result_partial = buildDEStats_test(partial_stats)
         @test result_partial.nf == 42
         @test result_partial.nreject == 0
-
-        # JET analysis - verify no obvious errors in the function
-        if HAS_JET
-            rep = JET.report_call(buildDEStats_test, (Dict{String, Any},))
-            # We expect some reports due to Dict{String, Any} type uncertainty
-            # but the function should still be valid
-            @test true  # Function analyzed successfully
-        end
     end
 
     @testset "Algorithm struct definitions" begin
@@ -126,16 +112,6 @@ end
         @test _is_matlab_compatible_eltype_test(BigFloat) === false
         @test _is_matlab_compatible_eltype_test(BigInt) === false
         @test _is_matlab_compatible_eltype_test(Float32) === false
-
-        # JET @test_opt analysis for type stability
-        if HAS_JET
-            @testset "JET @test_opt type stability" begin
-                # Test type stability of _is_matlab_compatible_eltype
-                @test_opt _is_matlab_compatible_eltype_test(Float64)
-                @test_opt _is_matlab_compatible_eltype_test(Int64)
-                @test_opt _is_matlab_compatible_eltype_test(BigFloat)
-            end
-        end
     end
 
     @testset "Return type inference" begin

test/qa/Project.toml

@@ -0,0 +1,14 @@
+[deps]
+Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
+JET = "c3a54625-cd67-489e-a8e7-0a5a0ff4e31b"
+MATLABDiffEq = "e2752cbe-bcf4-5895-8727-84ebc14a76bd"
+Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+
+[sources]
+MATLABDiffEq = {path = "../.."}
+
+[compat]
+Aqua = "0.8"
+JET = "0.9, 0.10, 0.11"
+Test = "<0.0.1, 1"
+julia = "1.10"

test/qa/qa.jl

@@ -0,0 +1,11 @@
+using MATLABDiffEq, Aqua, JET
+using Test
+
+@testset "Aqua" begin
+    Aqua.test_all(MATLABDiffEq)
+end
+
+@testset "JET static analysis" begin
+    rep = JET.report_package(MATLABDiffEq; target_modules = (MATLABDiffEq,))
+    @test length(JET.get_reports(rep)) == 0
+end

test/runtests.jl

@@ -1,44 +1,64 @@
-using DiffEqBase, MATLABDiffEq, ParameterizedFunctions, Test
-
-# Interface tests - these test type validation without needing MATLAB runtime
-include("interface_tests.jl")
-
-# JET static analysis tests - these also run without MATLAB
-include("jet_tests.jl")
-
-# The following tests require MATLAB runtime to be available
-# They test the actual ODE solving functionality
-
-f = @ode_def_bare LotkaVolterra begin
-    dx = a * x - b * x * y
-    dy = -c * y + d * x * y
-end a b c d
-p = [1.5, 1, 3, 1]
-tspan = (0.0, 10.0)
-u0 = [1.0, 1.0]
-prob = ODEProblem(f, u0, tspan, p)
-sol = solve(prob, MATLABDiffEq.ode45())
-
-function lorenz(du, u, p, t)
-    du[1] = 10.0(u[2] - u[1])
-    du[2] = u[1] * (28.0 - u[3]) - u[2]
-    return du[3] = u[1] * u[2] - (8 / 3) * u[3]
+using Pkg
+using Test
+using DiffEqBase, MATLABDiffEq, ParameterizedFunctions
+
+const GROUP = get(ENV, "GROUP", "Core")
+
+# QA (Aqua + JET) runs in an isolated environment (test/qa) so its tooling deps
+# never enter the main test target's resolve. On Julia < 1.11 the [sources] table
+# is ignored, so develop the package by path to test the PR branch code.
+function activate_qa_env()
+    Pkg.activate(joinpath(@__DIR__, "qa"))
+    Pkg.develop(PackageSpec(path = dirname(@__DIR__)))
+    return Pkg.instantiate()
 end
-u0 = [1.0; 0.0; 0.0]
-tspan = (0.0, 100.0)
-prob = ODEProblem(lorenz, u0, tspan)
-sol = solve(prob, MATLABDiffEq.ode45())
-
-algs = [
-    MATLABDiffEq.ode23
-    MATLABDiffEq.ode45
-    MATLABDiffEq.ode113
-    MATLABDiffEq.ode23s
-    MATLABDiffEq.ode23t
-    MATLABDiffEq.ode23tb
-    MATLABDiffEq.ode15s
-]
-
-for alg in algs
-    sol = solve(prob, alg())
+
+if GROUP == "Core" || GROUP == "All"
+    # Interface tests - these test type validation without needing MATLAB runtime
+    include("interface_tests.jl")
+
+    # Static type-stability tests - these also run without MATLAB
+    include("jet_tests.jl")
+
+    # The following tests require MATLAB runtime to be available
+    # They test the actual ODE solving functionality
+
+    f = @ode_def_bare LotkaVolterra begin
+        dx = a * x - b * x * y
+        dy = -c * y + d * x * y
+    end a b c d
+    p = [1.5, 1, 3, 1]
+    tspan = (0.0, 10.0)
+    u0 = [1.0, 1.0]
+    prob = ODEProblem(f, u0, tspan, p)
+    sol = solve(prob, MATLABDiffEq.ode45())
+
+    function lorenz(du, u, p, t)
+        du[1] = 10.0(u[2] - u[1])
+        du[2] = u[1] * (28.0 - u[3]) - u[2]
+        return du[3] = u[1] * u[2] - (8 / 3) * u[3]
+    end
+    u0 = [1.0; 0.0; 0.0]
+    tspan = (0.0, 100.0)
+    prob = ODEProblem(lorenz, u0, tspan)
+    sol = solve(prob, MATLABDiffEq.ode45())
+
+    algs = [
+        MATLABDiffEq.ode23
+        MATLABDiffEq.ode45
+        MATLABDiffEq.ode113
+        MATLABDiffEq.ode23s
+        MATLABDiffEq.ode23t
+        MATLABDiffEq.ode23tb
+        MATLABDiffEq.ode15s
+    ]
+
+    for alg in algs
+        sol = solve(prob, alg())
+    end
+end
+
+if GROUP == "QA"
+    activate_qa_env()
+    include("qa/qa.jl")
 end

test/test_groups.toml

@@ -0,0 +1,13 @@
+# Root MATLABDiffEq.jl test-group matrix, consumed by the reusable
+# grouped-tests.yml@v1 caller (.github/workflows/Tests.yml) via
+# scripts/compute_affected_sublibraries.jl --root-matrix. Each group runs on
+# every Julia version it lists; runtests.jl dispatches on GROUP.
+#
+# Core reproduces the old Tests.yml matrix (the whole suite on "lts" and "1").
+# QA is newly split out: Aqua + JET run in the isolated test/qa environment.
+
+[Core]
+versions = ["lts", "1"]
+
+[QA]
+versions = ["lts", "1"]