Support Julia v1.7 (#70)

* Support Julia v1.7

* Update test_layoutarray.jl

Author: dlfivefifty

Project.toml

@@ -14,8 +14,9 @@ julia = "1.5"
 
 [extras]
 Base64 = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
+Compat = "34da2185-b29b-5c13-b0c7-acf172513d20"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["Test", "Random", "Base64"]
+test = ["Test", "Random", "Base64", "Compat"]

test/test_layoutarray.jl

@@ -1,6 +1,11 @@
 using ArrayLayouts, LinearAlgebra, Test
 import ArrayLayouts: sub_materialize
 
+if VERSION < v"1.7-"
+    ColumnNorm() = Val(true)
+    RowMaximum() = Val(true)
+end
+
 struct MyMatrix <: LayoutMatrix{Float64}
     A::Matrix{Float64}
 end
@@ -83,9 +88,9 @@ MemoryLayout(::Type{MyVector}) = DenseColumnMajor()
 
         @testset "factorizations" begin
             @test qr(A).factors ≈ qr(A.A).factors
-            @test qr(A,Val(true)).factors ≈ qr(A.A,Val(true)).factors
+            @test qr(A,ColumnNorm()).factors ≈ qr(A.A,ColumnNorm()).factors
             @test lu(A).factors ≈ lu(A.A).factors
-            @test lu(A,Val(true)).factors ≈ lu(A.A,Val(true)).factors
+            @test lu(A,RowMaximum()).factors ≈ lu(A.A,RowMaximum()).factors
             @test_throws ErrorException qr!(A)
             @test_throws ErrorException lu!(A)
 
@@ -228,7 +233,9 @@ MemoryLayout(::Type{MyVector}) = DenseColumnMajor()
         B = randn(5,5)
         B̃ = MyMatrix(B)
         @test D*D ≈ Matrix(D)^2
-        @test_broken D^2 ≈ D*D
+        if VERSION ≥ v"1.7-"
+            @test D^2 ≈ D*D
+        end
         @test D*B ≈ Matrix(D)*B
         @test B*D ≈ B*Matrix(D)
         @test D*B̃ ≈ Matrix(D)*B̃

test/test_layouts.jl

@@ -351,8 +351,10 @@ struct FooNumber <: Number end
         @test ArrayLayouts.mul(Eye{Int}(10), Eye(10)) ≡ Eye(10)
 
         F = Diagonal(Fill(2,11))
-        @test ArrayLayouts.mul(F, 1:11) ≡ 2:2:22
-        @test ArrayLayouts.mul(F, Diagonal(1:11)) ≡ ArrayLayouts.mul(Diagonal(1:11), F) ≡ Diagonal(2:2:22)
+        @test ArrayLayouts.mul(F, 1:11) isa AbstractRange
+        @test ArrayLayouts.mul(F, 1:11) == 2:2:22
+        @test ArrayLayouts.mul(F, Diagonal(1:11)) == ArrayLayouts.mul(Diagonal(1:11), F) == Diagonal(2:2:22)
+        @test ArrayLayouts.mul(F, Diagonal(1:11)).diag isa AbstractRange
         @test ArrayLayouts.mul(F, T) isa Tridiagonal{Int,<:Fill}
         @test ArrayLayouts.mul(T, F) isa Tridiagonal{Int,<:Fill}
         @test ArrayLayouts.mul(F, T) isa Tridiagonal{Int,<:Fill}