fixes

Author: ChrisRackauckas

src/factorization.jl

@@ -6,7 +6,7 @@ function _ldiv!(x::Vector, A::Factorization, b::Vector)
 end
 
 # Specialize QR for the non-square case
-function _ldiv!(x::Vector, A::QRFactorization, b::Vector)
+function _ldiv!(x::Vector, A::Union{QR, QRCompactWY}, b::Vector)
     ldiv!(x, A, b)
 end
 

test/nonsquare.jl

@@ -1,19 +1,20 @@
-using LinearSolve, Test
-using SparseArrays, LinearAlgebra
-
-m, n = 13, 3
-
-A = rand(m, n); b = rand(m);
-prob = LinearProblem(A, b)
-res = A\b
-@test solve(prob).u ≈ res
-@test solve(prob, QRFactorization()) ≈ res
-@test solve(prob, KrylovJL_LSMR()) ≈ res
-
-A = sprand(m, n, 0.5); b = rand(m);
-prob = LinearProblem(A, b)
-res = A\b
-@test solve(prob).u ≈ res
-@test solve(prob, QRFactorization()) ≈ res
-@test solve(prob, KrylovJL_LSMR()) ≈ res
-
+using LinearSolve, Test
+using SparseArrays, LinearAlgebra
+
+m, n = 13, 3
+
+A = rand(m, n);
+b = rand(m);
+prob = LinearProblem(A, b)
+res = A \ b
+@test solve(prob).u ≈ res
+@test solve(prob, QRFactorization()) ≈ res
+@test solve(prob, KrylovJL_LSMR()) ≈ res
+
+A = sprand(m, n, 0.5);
+b = rand(m);
+prob = LinearProblem(A, b)
+res = A \ b
+@test solve(prob).u ≈ res
+@test solve(prob, QRFactorization()) ≈ res
+@test solve(prob, KrylovJL_LSMR()) ≈ res