Some fixes after rebase

Author: andreasnoack

base/linalg/tridiag.jl

@@ -214,7 +214,7 @@ eigmax(A::SymTridiagonal) = eigvals(A, size(A, 1):size(A, 1))[1]
 eigmin(A::SymTridiagonal) = eigvals(A, 1:1)[1]
 
 #Compute selected eigenvectors only corresponding to particular eigenvalues
-eigvecs(A::SymTridiagonal) = eigfact(A)[:vectors]
+eigvecs(A::SymTridiagonal) = eigfact(A).vectors
 
 """
     eigvecs(A::SymTridiagonal[, eigvals]) -> Matrix

test/linalg/cholesky.jl

@@ -223,7 +223,7 @@ end
         F = cholfact(Hermitian(AcA, uplo))
         G = cholfact(Hermitian(BcB, uplo))
         @test Base.getproperty(LinAlg.lowrankupdate(F, v), uplo) ≈ Base.getproperty(G, uplo)
-        @test_throws DimensionMismatch LinAlg.lowrankupdate(F, ones(eltype($v), length($v)+1))
+        @test_throws DimensionMismatch LinAlg.lowrankupdate(F, ones(eltype(v), length(v)+1))
         @test Base.getproperty(LinAlg.lowrankdowndate(G, v), uplo) ≈ Base.getproperty(F, uplo)
         @test_throws DimensionMismatch LinAlg.lowrankdowndate(G, ones(eltype(v), length(v)+1))
     end

test/linalg/lq.jl

@@ -53,7 +53,7 @@ rectangularQ(Q::LinAlg.LQPackedQ) = convert(Array, Q)
                     @test size(lqa,3) == 1
                     @test size(lqa.Q,3) == 1
                     @test_throws ErrorException lqa.Z
-                    @test Array(lqa') ≈ a'
+                    @test Array(adjoint(lqa)) ≈ a'
                     @test lqa * lqa' ≈ a * a'
                     @test lqa' * lqa ≈ a' * a
                     @test q*squareQ(q)' ≈ Matrix(I, n, n)

test/linalg/qr.jl

@@ -135,7 +135,7 @@ rectangularQ(Q::LinAlg.AbstractQ) = convert(Array, Q)
                 a = raw_a
                 qrpa = factorize(a[:,1:n1])
                 q, r = qrpa.Q, qrpa.R
-                @test mul!(squareQ(q)', q) ≈ Matrix(I, n, n)
+                @test mul!(adjoint(squareQ(q)), q) ≈ Matrix(I, n, n)
                 @test_throws DimensionMismatch mul!(Matrix{eltya}(I, n+1, n+1),q)
                 @test mul!(squareQ(q), Adjoint(q)) ≈ Matrix(I, n, n)
                 @test_throws DimensionMismatch mul!(Matrix{eltya}(I, n+1, n+1), Adjoint(q))
@@ -145,7 +145,7 @@ rectangularQ(Q::LinAlg.AbstractQ) = convert(Array, Q)
 
                 qra = qrfact(a[:,1:n1], Val(false))
                 q, r = qra.Q, qra.R
-                @test mul!(squareQ(q)', q) ≈ Matrix(I, n, n)
+                @test mul!(adjoint(squareQ(q)), q) ≈ Matrix(I, n, n)
                 @test_throws DimensionMismatch mul!(Matrix{eltya}(I, n+1, n+1),q)
                 @test mul!(squareQ(q), Adjoint(q)) ≈ Matrix(I, n, n)
                 @test_throws DimensionMismatch mul!(Matrix{eltya}(I, n+1, n+1),Adjoint(q))

test/linalg/triangular.jl

@@ -421,7 +421,7 @@ for eltya in (Float32, Float64, ComplexF32, ComplexF64, BigFloat, Int)
         debug && println("\ntype of A: ", eltya, " type of b: ", eltyb, "\n")
 
         debug && println("Solve upper triangular system")
-        Atri = UpperTriangular(lufact(A)[:U]) |> t -> eltya <: Complex && eltyb <: Real ? real(t) : t # Here the triangular matrix can't be too badly conditioned
+        Atri = UpperTriangular(lufact(A).U) |> t -> eltya <: Complex && eltyb <: Real ? real(t) : t # Here the triangular matrix can't be too badly conditioned
         b = convert(Matrix{eltyb}, eltya <: Complex ? Matrix(Atri)*ones(n, 2) : Matrix(Atri)*ones(n, 2))
         x = Matrix(Atri) \ b
 
@@ -449,7 +449,7 @@ for eltya in (Float32, Float64, ComplexF32, ComplexF64, BigFloat, Int)
         end
 
         debug && println("Solve lower triangular system")
-        Atri = UpperTriangular(lufact(A)[:U]) |> t -> eltya <: Complex && eltyb <: Real ? real(t) : t # Here the triangular matrix can't be too badly conditioned
+        Atri = UpperTriangular(lufact(A).U) |> t -> eltya <: Complex && eltyb <: Real ? real(t) : t # Here the triangular matrix can't be too badly conditioned
         b = convert(Matrix{eltyb}, eltya <: Complex ? Matrix(Atri)*ones(n, 2) : Matrix(Atri)*ones(n, 2))
         x = Matrix(Atri)\b