Support new AbstractFFTs.AdjointStyle trait for FFT and DCT plans

Project.toml

@@ -11,7 +11,7 @@ Preferences = "21216c6a-2e73-6563-6e65-726566657250"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 
 [compat]
-AbstractFFTs = "1.0"
+AbstractFFTs = "1.5"
 FFTW_jll = "3.3.9"
 MKL_jll = "2019.0.117, 2020, 2021, 2022, 2023"
 Preferences = "1.2"

src/dct.jl

@@ -171,3 +171,5 @@ end
     mul!(Array{T}(undef, p.plan.osz), p, copy(x)) # need copy to preserve input
 
 *(p::DCTPlan{T,K,true}, x::StridedArray{T}) where {T,K} = mul!(x, p, x)
+
+AbstractFFTs.AdjointStyle(::DCTPlan) = AbstractFFTs.UnitaryAdjointStyle()

src/fft.jl

@@ -1049,3 +1049,18 @@ function *(p::r2rFFTWPlan{T,K,true}, x::StridedArray{T}) where {T,K}
     unsafe_execute!(p, x, x)
     return x
 end
+
+#######################################################################
+
+"""
+    R2RAdjointStyle(kinds)
+
+Projection style for real to real transforms
+"""
+struct R2RAdjointStyle{K} <: AbstractFFTs.AdjointStyle
+    kinds::K
+end
+
+AbstractFFTs.AdjointStyle(::cFFTWPlan) = AbstractFFTs.FFTAdjointStyle()
+AbstractFFTs.AdjointStyle(::rFFTWPlan{T, FORWARD}) where {T} = AbstractFFTs.RFFTAdjointStyle()
+AbstractFFTs.AdjointStyle(P::rFFTWPlan{T, BACKWARD}) where {T} = AbstractFFTs.IRFFTAdjointStyle(P.osz[first(P.region)])

test/Project.toml

@@ -1,7 +1,3 @@
-# A bug in Julia 1.6.0's Pkg causes Preferences to be dropped during `Pkg.test()`, so we work around
-# it by explicitly creating a `test/Project.toml` which will correctly communicate any preferences
-# through to the child Julia process.  X-ref: https://github.com/JuliaLang/Pkg.jl/issues/2500
-
 [deps]
 AbstractFFTs = "621f4979-c628-5d54-868e-fcf4e3e8185c"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"

test/runtests.jl

@@ -577,3 +577,27 @@ end
         end
     end
 end
+
+@testset "DCT adjoints" begin
+    # only test on FFTW because MKL is missing functionality
+    if FFTW.get_provider() == "fftw"
+        for x in (randn(3), randn(4), randn(3, 4), randn(3, 4, 5))
+            y = randn(size(x))
+            N = ndims(x)
+            for dims in unique((1, 1:N, N))
+                for P in (plan_dct(x, dims), plan_idct(x, dims))
+                    AbstractFFTs.TestUtils.test_plan_adjoint(P, x)
+                end
+            end
+        end
+    end
+end
+
+@testset "AbstractFFTs FFT backend tests" begin
+    # note this also tests adjoint functionality for FFT plans
+    # only test on FFTW because MKL is missing functionality
+    if FFTW.get_provider() == "fftw"
+        AbstractFFTs.TestUtils.test_complex_ffts(Array)
+        AbstractFFTs.TestUtils.test_real_ffts(Array; copy_input=true)
+    end
+end