Canonical CI: grouped-tests.yml + root test/test_groups.toml

.github/dependabot.yml

@@ -9,7 +9,7 @@ updates:
       - "/"
       - "/docs"
       - "/test"
-      - "/test/nopre"
+      - "/test/qa"
     schedule:
       interval: "daily"
     groups:

.github/workflows/Tests.yml

@@ -20,22 +20,5 @@ concurrency:
 
 jobs:
   tests:
-    name: "Tests"
-    strategy:
-      fail-fast: false
-      matrix:
-        version:
-          - "1"
-          - "lts"
-          - "pre"
-        group:
-          - Core
-          - nopre
-        exclude:
-          - version: "pre"
-            group: nopre
-    uses: "SciML/.github/.github/workflows/tests.yml@v1"
-    with:
-      julia-version: "${{ matrix.version }}"
-      group: "${{ matrix.group }}"
+    uses: "SciML/.github/.github/workflows/grouped-tests.yml@v1"
     secrets: "inherit"

test/Project.toml

@@ -1,17 +1,15 @@
 [deps]
-Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
-Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
+SciMLTesting = "09d9d899-5365-40a9-917a-5f67fddea283"
 SparseBandedMatrices = "bd59d7e1-4699-4102-944e-d05209cb92aa"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [compat]
-Aqua = "0.8"
 LinearAlgebra = "1"
-Pkg = "1"
 Random = "1"
 SafeTestsets = "0.1"
+SciMLTesting = "1"
 SparseBandedMatrices = "1.3.0"
 Test = "1"

test/constructors.jl

@@ -0,0 +1,14 @@
+using SparseBandedMatrices
+using Test
+
+@testset "Constructors" begin
+    A = SparseBandedMatrix{Float64}(undef, 5, 5)
+    A[1, 1] = 2
+    @test A[1, 1] == 2.0
+    A[4, 1] = 0
+    @test A[4, 1] == 0.0
+    A[1, 3] = 5
+    @test A[1, 3] == 5.0
+
+    @test size(A) == (5, 5)
+end

test/division.jl

@@ -0,0 +1,33 @@
+using SparseBandedMatrices, Random
+using Test
+
+@testset "Division" begin
+    dim = 5000
+    x = rand(10:75)
+    diag_vals = Vector{Vector{Float64}}(undef, x)
+    diag_locs = randperm(dim * 2 - 1)[1:x]
+    for j in 1:x
+        diag_vals[j] = rand(min(diag_locs[j], 2 * dim - diag_locs[j]))
+    end
+
+    x_butterfly = SparseBandedMatrix{Float64}(diag_locs, diag_vals, dim, dim)
+    x_dense = copy(x_butterfly)
+
+    y = rand(dim, dim)
+    z = zeros(dim, dim)
+
+    @test isapprox(x_dense / y, x_butterfly / y)
+    @test isapprox(y / x_dense, y / x_butterfly)
+
+    y = rand(10:75)
+    diag_vals = Vector{Vector{Float64}}(undef, y)
+    diag_locs = randperm(dim * 2 - 1)[1:y]
+    for j in 1:y
+        diag_vals[j] = rand(min(diag_locs[j], 2 * dim - diag_locs[j]))
+    end
+
+    y_butterfly = SparseBandedMatrix{Float64}(diag_locs, diag_vals, dim, dim)
+    y_dense = copy(y_butterfly)
+
+    @test isapprox(x_butterfly / y_butterfly, x_dense / y_dense)
+end

test/multiplication.jl

@@ -0,0 +1,33 @@
+using SparseBandedMatrices, Random
+using Test
+
+@testset "Multiplication" begin
+    dim = 5000
+    x = rand(10:75)
+    diag_vals = Vector{Vector{Float64}}(undef, x)
+    diag_locs = randperm(dim * 2 - 1)[1:x]
+    for j in 1:x
+        diag_vals[j] = rand(min(diag_locs[j], 2 * dim - diag_locs[j]))
+    end
+
+    x_butterfly = SparseBandedMatrix{Float64}(diag_locs, diag_vals, dim, dim)
+    x_dense = copy(x_butterfly)
+
+    y = rand(dim, dim)
+    z = zeros(dim, dim)
+
+    @test isapprox(x_dense * y, x_butterfly * y)
+    @test isapprox(y * x_dense, y * x_butterfly)
+
+    y = rand(10:75)
+    diag_vals = Vector{Vector{Float64}}(undef, y)
+    diag_locs = randperm(dim * 2 - 1)[1:y]
+    for j in 1:y
+        diag_vals[j] = rand(min(diag_locs[j], 2 * dim - diag_locs[j]))
+    end
+
+    y_butterfly = SparseBandedMatrix{Float64}(diag_locs, diag_vals, dim, dim)
+    y_dense = copy(y_butterfly)
+
+    @test isapprox(x_butterfly * y_butterfly, x_dense * y_dense)
+end

test/nopre/Project.toml → test/qa/Project.toml

@@ -1,11 +1,20 @@
 [deps]
+Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
 JET = "c3a54625-cd67-489e-a8e7-0a5a0ff4e31b"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
+SciMLTesting = "09d9d899-5365-40a9-917a-5f67fddea283"
 SparseBandedMatrices = "bd59d7e1-4699-4102-944e-d05209cb92aa"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
+[sources]
+SparseBandedMatrices = {path = "../.."}
+
 [compat]
+Aqua = "0.8"
 JET = "0.9, 0.10, 0.11"
 LinearAlgebra = "1"
-SparseBandedMatrices = "1.3.0"
+SafeTestsets = "0.1"
+SciMLTesting = "1"
 Test = "1"
+julia = "1.10"

test/nopre/jet.jl → test/qa/qa.jl

@@ -1,4 +1,8 @@
-using SparseBandedMatrices, JET, LinearAlgebra
+using SparseBandedMatrices, Aqua, JET, LinearAlgebra, Test
+
+@testset "Aqua" begin
+    Aqua.test_all(SparseBandedMatrices; ambiguities = (recursive = false,))
+end
 
 @testset "JET static analysis" begin
     # Test that there are no unresolved dispatch errors in key functions

test/runtests.jl

@@ -1,95 +1,2 @@
-using SafeTestsets, Test, Pkg
-
-const GROUP = get(ENV, "GROUP", "All")
-
-@testset "SparseBandedMatrices" begin
-    if GROUP == "All" || GROUP == "Core"
-        @safetestset "Quality Assurance" include("qa.jl")
-        @safetestset "Interface Compatibility" include("interface.jl")
-
-        @safetestset "Constructors" begin
-            using SparseBandedMatrices
-
-            A = SparseBandedMatrix{Float64}(undef, 5, 5)
-            A[1, 1] = 2
-            @test A[1, 1] == 2.0
-            A[4, 1] = 0
-            @test A[4, 1] == 0.0
-            A[1, 3] = 5
-            @test A[1, 3] == 5.0
-
-            @test size(A) == (5, 5)
-        end
-
-        @safetestset "Multiplication" begin
-            using SparseBandedMatrices, Random
-            dim = 5000
-            x = rand(10:75)
-            diag_vals = Vector{Vector{Float64}}(undef, x)
-            diag_locs = randperm(dim * 2 - 1)[1:x]
-            for j in 1:x
-                diag_vals[j] = rand(min(diag_locs[j], 2 * dim - diag_locs[j]))
-            end
-
-            x_butterfly = SparseBandedMatrix{Float64}(diag_locs, diag_vals, dim, dim)
-            x_dense = copy(x_butterfly)
-
-            y = rand(dim, dim)
-            z = zeros(dim, dim)
-
-            @test isapprox(x_dense * y, x_butterfly * y)
-            @test isapprox(y * x_dense, y * x_butterfly)
-
-            y = rand(10:75)
-            diag_vals = Vector{Vector{Float64}}(undef, y)
-            diag_locs = randperm(dim * 2 - 1)[1:y]
-            for j in 1:y
-                diag_vals[j] = rand(min(diag_locs[j], 2 * dim - diag_locs[j]))
-            end
-
-            y_butterfly = SparseBandedMatrix{Float64}(diag_locs, diag_vals, dim, dim)
-            y_dense = copy(y_butterfly)
-
-            @test isapprox(x_butterfly * y_butterfly, x_dense * y_dense)
-        end
-
-        @safetestset "Division" begin
-            using SparseBandedMatrices, Random
-            dim = 5000
-            x = rand(10:75)
-            diag_vals = Vector{Vector{Float64}}(undef, x)
-            diag_locs = randperm(dim * 2 - 1)[1:x]
-            for j in 1:x
-                diag_vals[j] = rand(min(diag_locs[j], 2 * dim - diag_locs[j]))
-            end
-
-            x_butterfly = SparseBandedMatrix{Float64}(diag_locs, diag_vals, dim, dim)
-            x_dense = copy(x_butterfly)
-
-            y = rand(dim, dim)
-            z = zeros(dim, dim)
-
-            @test isapprox(x_dense / y, x_butterfly / y)
-            @test isapprox(y / x_dense, y / x_butterfly)
-
-            y = rand(10:75)
-            diag_vals = Vector{Vector{Float64}}(undef, y)
-            diag_locs = randperm(dim * 2 - 1)[1:y]
-            for j in 1:y
-                diag_vals[j] = rand(min(diag_locs[j], 2 * dim - diag_locs[j]))
-            end
-
-            y_butterfly = SparseBandedMatrix{Float64}(diag_locs, diag_vals, dim, dim)
-            y_dense = copy(y_butterfly)
-
-            @test isapprox(x_butterfly / y_butterfly, x_dense / y_dense)
-        end
-    end
-
-    if GROUP == "All" || GROUP == "nopre"
-        Pkg.activate(joinpath(@__DIR__, "nopre"))
-        Pkg.develop(PackageSpec(path = joinpath(@__DIR__, "..")))
-        Pkg.instantiate()
-        @safetestset "JET Static Analysis" include("nopre/jet.jl")
-    end
-end
+using SciMLTesting
+run_tests()

test/test_groups.toml

@@ -0,0 +1,5 @@
+[Core]
+versions = ["lts", "1", "pre"]
+
+[QA]
+versions = ["lts", "1"]