Use SciMLTesting v1.2 (folder-based run_tests)

Project.toml

@@ -31,6 +31,8 @@ Measurements = "2.5"
 MonteCarloMeasurements = "1"
 Mooncake = "0.4, 0.5"
 ReverseDiff = "1.14"
+SafeTestsets = "0.1, 1"
+SciMLTesting = "1"
 Test = "1"
 Tracker = "0.2"
 julia = "1.10"
@@ -40,10 +42,11 @@ Enzyme = "7da242da-08ed-463a-9acd-ee780be4f1d9"
 EnzymeTestUtils = "12d8515a-0907-448a-8884-5fe00fdf1c5a"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 Mooncake = "da2b9cff-9c12-43a0-ae48-6db2b0edb7d6"
-Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
+SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
+SciMLTesting = "09d9d899-5365-40a9-917a-5f67fddea283"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 Tracker = "9f7883ad-71c0-57eb-9f7f-b5c9e6d3789c"
 
 [targets]
-test = ["Test", "Enzyme", "EnzymeTestUtils", "ForwardDiff", "Mooncake", "Pkg", "ReverseDiff", "Tracker"]
+test = ["Enzyme", "EnzymeTestUtils", "ForwardDiff", "Mooncake", "ReverseDiff", "SafeTestsets", "SciMLTesting", "Test", "Tracker"]

test/Enzyme/enzyme_forward_tests.jl

@@ -0,0 +1,11 @@
+using FastPower: fastpower
+using Enzyme, EnzymeTestUtils
+using Test
+
+@testset for RT in (Duplicated, DuplicatedNoNeed),
+        Tx in (Const, Duplicated),
+        Ty in (Const, Duplicated)
+    x = 1.0
+    y = 0.5
+    test_forward(fastpower, RT, (x, Tx), (y, Ty), atol = 1.0e-4, rtol = 1.0e-3)
+end

test/Enzyme/enzyme_reverse_tests.jl

@@ -0,0 +1,9 @@
+using FastPower: fastpower
+using Enzyme, EnzymeTestUtils
+using Test
+
+@testset for RT in (Active,), Tx in (Active, Const), Ty in (Active, Const)
+    x = 1.0
+    y = 0.5
+    test_reverse(fastpower, RT, (x, Tx), (y, Ty), atol = 1.0e-4, rtol = 1.0e-3)
+end

test/fast_log2_tests.jl

@@ -0,0 +1,6 @@
+using FastPower: fastlog2
+using Test
+
+for x in 0.001:0.001:1.2 # (0, 1+something] is the domain which a controller uses
+    @test log2(x) ≈ fastlog2(Float32(x)) atol = 1.0e-3
+end

test/fast_pow_tests.jl

@@ -0,0 +1,13 @@
+using FastPower: fastpower
+using Test
+
+@test fastpower(1, 1) isa Float64
+@test fastpower(1.0, 1.0) isa Float64
+errors = [abs(^(x, y) - fastpower(x, y)) for x in 0.001:0.001:1, y in 0.08:0.001:0.5]
+@test maximum(errors) < 1.0e-4
+
+errors = [abs(^(x, y) - fastpower(x, y)) for x in 0.001:0.001:1, y in 0.08:0.001:1000.0]
+@test maximum(errors) < 1.0e-3
+
+errors = [abs(^(x, y) - fastpower(x, y)) for x in 0.001:0.001:100, y in 0.08:0.001:1.0]
+@test maximum(errors) < 1.0e-2

test/other_ad_engines_tests.jl

@@ -0,0 +1,18 @@
+using FastPower: fastpower
+using ForwardDiff, ReverseDiff, Tracker, Mooncake
+using Test
+
+function mooncake_derivative(f, x)
+    return Mooncake.value_and_gradient!!(Mooncake.build_rrule(f, x), f, x)[2][2]
+end
+
+x = 1.5123233245141
+y = 0.22352354326
+@test ForwardDiff.derivative(x -> fastpower(x, x + y), x) ≈
+    ForwardDiff.derivative(x -> ^(x, x + y), x)
+@test Tracker.gradient(x -> fastpower(x, x + y), x)[1] ≈
+    Tracker.gradient(x -> ^(x, x + y), x)[1]
+@test ReverseDiff.gradient(x -> fastpower(x[1], x[1] + y), [x])[1] ≈
+    ReverseDiff.gradient(x -> ^(x[1], x[1] + y), [x])[1]
+@test mooncake_derivative(x -> fastpower(x, x + y), x) ≈
+    mooncake_derivative(x -> ^(x, x + y), x)

test/qa/Project.toml

@@ -2,7 +2,8 @@
 Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
 FastPower = "a4df4552-cc26-4903-aec0-212e50a0e84b"
 JET = "c3a54625-cd67-489e-a8e7-0a5a0ff4e31b"
-Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
+SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
+SciMLTesting = "09d9d899-5365-40a9-917a-5f67fddea283"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [sources]
@@ -11,5 +12,7 @@ FastPower = {path = "../.."}
 [compat]
 Aqua = "0.8"
 JET = "0.9,0.10,0.11"
+SafeTestsets = "0.1, 1"
+SciMLTesting = "1"
 Test = "1"
 julia = "1.10"

test/runtests.jl

@@ -1,75 +1,2 @@
-using Test
-using ForwardDiff, ReverseDiff, Tracker, Mooncake
-using Enzyme, EnzymeTestUtils
-
-const GROUP = get(ENV, "GROUP", "All")
-
-if GROUP == "QA"
-    using Pkg
-    Pkg.activate(joinpath(@__DIR__, "qa"))
-    Pkg.instantiate()
-    include(joinpath(@__DIR__, "qa", "qa.jl"))
-end
-
-if GROUP == "All" || GROUP == "Core" || GROUP == "Enzyme"
-    using FastPower
-    using FastPower: fastlog2, fastpower
-end
-
-if GROUP == "All" || GROUP == "Core"
-    @testset "Fast log2" begin
-        for x in 0.001:0.001:1.2 # (0, 1+something] is the domain which a controller uses
-            @test log2(x) ≈ fastlog2(Float32(x)) atol = 1.0e-3
-        end
-    end
-
-    @testset "Fast pow" begin
-        @test fastpower(1, 1) isa Float64
-        @test fastpower(1.0, 1.0) isa Float64
-        errors = [abs(^(x, y) - fastpower(x, y)) for x in 0.001:0.001:1, y in 0.08:0.001:0.5]
-        @test maximum(errors) < 1.0e-4
-
-        errors = [abs(^(x, y) - fastpower(x, y)) for x in 0.001:0.001:1, y in 0.08:0.001:1000.0]
-        @test maximum(errors) < 1.0e-3
-
-        errors = [abs(^(x, y) - fastpower(x, y)) for x in 0.001:0.001:100, y in 0.08:0.001:1.0]
-        @test maximum(errors) < 1.0e-2
-    end
-
-    function mooncake_derivative(f, x)
-        return Mooncake.value_and_gradient!!(Mooncake.build_rrule(f, x), f, x)[2][2]
-    end
-    @testset "Fast pow - Other AD Engines" begin
-        x = 1.5123233245141
-        y = 0.22352354326
-        @test ForwardDiff.derivative(x -> fastpower(x, x + y), x) ≈
-            ForwardDiff.derivative(x -> ^(x, x + y), x)
-        @test Tracker.gradient(x -> fastpower(x, x + y), x)[1] ≈
-            Tracker.gradient(x -> ^(x, x + y), x)[1]
-        @test ReverseDiff.gradient(x -> fastpower(x[1], x[1] + y), [x])[1] ≈
-            ReverseDiff.gradient(x -> ^(x[1], x[1] + y), [x])[1]
-        @test mooncake_derivative(x -> fastpower(x, x + y), x) ≈
-            mooncake_derivative(x -> ^(x, x + y), x)
-    end
-end
-
-if GROUP == "All" || GROUP == "Enzyme"
-    @testset "Fast pow - Enzyme forward rule" begin
-        @testset for RT in (Duplicated, DuplicatedNoNeed),
-                Tx in (Const, Duplicated),
-                Ty in (Const, Duplicated)
-
-            x = 1.0
-            y = 0.5
-            test_forward(fastpower, RT, (x, Tx), (y, Ty), atol = 1.0e-4, rtol = 1.0e-3)
-        end
-    end
-
-    @testset "Fast pow - Enzyme reverse rule" begin
-        @testset for RT in (Active,), Tx in (Active, Const), Ty in (Active, Const)
-            x = 1.0
-            y = 0.5
-            test_reverse(fastpower, RT, (x, Tx), (y, Ty), atol = 1.0e-4, rtol = 1.0e-3)
-        end
-    end
-end
+using SciMLTesting
+run_tests()