less invasive changes

JuliaLang · May 22, 2024 · dd75d9d · dd75d9d
1 parent 704ea17
commit dd75d9d
Showing 1 changed file with 24 additions and 25 deletions.
diff --git a/stdlib/LinearAlgebra/test/abstractq.jl b/stdlib/LinearAlgebra/test/abstractq.jl
@@ -127,31 +127,30 @@ n = 5
         @test QS isa Array{eltype(Q),0}
     end
 
-    @testset "matrix division" begin
-        q, r = F
-        R = randn(Float64, 5, 5)
-        @test q / r ≈ Matrix(q) / r
-        @test_throws DimensionMismatch MyQ(q) / r # doesn't have size flexibility
-        @test q / R ≈ collect(q) / R
-        @test copy(r') \ q' ≈ (q / r)'
-        @test_throws DimensionMismatch copy(r') \ MyQ(q')
-        @test r \ q' ≈ r \ Matrix(q)'
-        @test R \ q' ≈ R \ MyQ(q') ≈ R \ collect(q')
-        @test R \ q ≈ R \ MyQ(q) ≈ R \ collect(q)
-        B = copy(A')
-        G = lq(B)
-        l, q = G
-        L = R
-        @test l \ q ≈ l \ Matrix(q)
-        @test_throws DimensionMismatch l \ MyQ(q)
-        @test L \ q ≈ L \ collect(q)
-        @test q' / copy(l') ≈ (l \ q)'
-        @test_throws DimensionMismatch MyQ(q') / copy(l')
-        @test q' / l ≈ Matrix(q)' / l
-        @test q' / L ≈ MyQ(q') / L ≈ collect(q)' / L
-        @test q / L ≈ Matrix(q) / L
-        @test MyQ(q) / L ≈ collect(q) / L
-    end
+    # matrix division
+    q, r = F
+    R = randn(Float64, 5, 5)
+    @test q / r ≈ Matrix(q) / r
+    @test_throws DimensionMismatch MyQ(q) / r # doesn't have size flexibility
+    @test q / R ≈ collect(q) / R
+    @test copy(r') \ q' ≈ (q / r)'
+    @test_throws DimensionMismatch copy(r') \ MyQ(q')
+    @test r \ q' ≈ r \ Matrix(q)'
+    @test R \ q' ≈ R \ MyQ(q') ≈ R \ collect(q')
+    @test R \ q ≈ R \ MyQ(q) ≈ R \ collect(q)
+    B = copy(A')
+    G = lq(B)
+    l, q = G
+    L = R
+    @test l \ q ≈ l \ Matrix(q)
+    @test_throws DimensionMismatch l \ MyQ(q)
+    @test L \ q ≈ L \ collect(q)
+    @test q' / copy(l') ≈ (l \ q)'
+    @test_throws DimensionMismatch MyQ(q') / copy(l')
+    @test q' / l ≈ Matrix(q)' / l
+    @test q' / L ≈ MyQ(q') / L ≈ collect(q)' / L
+    @test q / L ≈ Matrix(q) / L
+    @test MyQ(q) / L ≈ collect(q) / L
 end
 
 end # module