Fix rdiv ambiguity (#68)

Author: dlfivefifty

Project.toml

@@ -1,7 +1,7 @@
 name = "ArrayLayouts"
 uuid = "4c555306-a7a7-4459-81d9-ec55ddd5c99a"
 authors = ["Sheehan Olver <[email protected]>"]
-version = "0.8.12"
+version = "0.8.13"
 
 [deps]
 FillArrays = "1a297f60-69ca-5386-bcde-b61e274b549b"

src/ldiv.jl

@@ -173,6 +173,7 @@ macro _layoutldiv(Typ)
         ret = quote
             $ret
             Base.:\(A::$Typ, x::LayoutMatrix) = ArrayLayouts.ldiv(A,x)
+            Base.:/(x::LayoutMatrix, A::$Typ) = ArrayLayouts.rdiv(x,A)
         end
     end
     esc(ret)

test/test_layoutarray.jl

@@ -1,7 +1,6 @@
 using ArrayLayouts, LinearAlgebra, FillArrays, Base64, Test
 import ArrayLayouts: sub_materialize, MemoryLayout, ColumnNorm, RowMaximum, CRowMaximum
 
-
 struct MyMatrix <: LayoutMatrix{Float64}
     A::Matrix{Float64}
 end
@@ -179,6 +178,8 @@ MemoryLayout(::Type{MyVector}) = DenseColumnMajor()
             @test_broken A/A ≈ I
             @test A\MyVector(x) ≈ A\x
             @test A\MyMatrix(X) ≈ A\X
+
+            @test_broken A/A ≈ A.A / A.A
         end
 
         @testset "dot" begin
@@ -384,4 +385,7 @@ triangulardata(A::MyUpperTriangular) = triangulardata(A.A)
     @test lmul!(U, copy(B)) ≈ U * B
 
     @test_skip lmul!(U,view(copy(B),collect(1:5),1:5)) ≈ U * B
+
+    @test MyMatrix(A) / U ≈ A / U
+    @test_broken U / MyMatrix(A) ≈ U / A
 end