Another mul specialization for diagonals

[kshyatt]

This one also dispatches to a forbidden scalar optional in LinearAlgebra

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diff --git a/src/host/linalg.jl b/src/host/linalg.jl
index 9fad7bb..4281ebf 100644
--- a/src/host/linalg.jl
+++ b/src/host/linalg.jl
@@ -258,12 +258,14 @@ function LinearAlgebra.mul!(C::Diagonal{<:Any, <:AbstractGPUArray},
     return C
 end
 
-function LinearAlgebra.mul!(C::Diagonal{<:Any, <:AbstractGPUArray},
-                            A::AbstractGPUArray,
-                            B::AbstractGPUArray)
+function LinearAlgebra.mul!(
+        C::Diagonal{<:Any, <:AbstractGPUArray},
+        A::AbstractGPUArray,
+        B::AbstractGPUArray
+    )
     dc = C.diag
-    d  = length(dc)
-    m, n   = size(A, 1), size(A, 2)
+    d = length(dc)
+    m, n = size(A, 1), size(A, 2)
     m′, n′ = size(B, 1), size(B, 2)
     m == d  || throw(DimensionMismatch("left hand side has $m rows but output is $d by $d"))
     n′ == d || throw(DimensionMismatch("right hand side has $n′ cols but output is $d by $d"))
diff --git a/test/testsuite/linalg.jl b/test/testsuite/linalg.jl
index bdcc6cd..de36aae 100644
--- a/test/testsuite/linalg.jl
+++ b/test/testsuite/linalg.jl
@@ -254,7 +254,7 @@
                 b = AT(diagm(rand(elty, n)))
                 C = Diagonal(d)
                 mul!(C, a, b)
-                @test collect(C) ≈ Diagonal(collect(a) * collect(b)) 
+                @test collect(C) ≈ Diagonal(collect(a) * collect(b))
             end
         end
 

[maleadt]

CI failures related.

[kshyatt]

The risks of sleepy eepy coding...