Update retcodes.jl

test/retcodes.jl

@@ -1,46 +1,46 @@
-@testset "Return codes" begin
-    alglist = (
-        LUFactorization,
-        QRFactorization,
-        DiagonalFactorization,
-        DirectLdiv!,
-        SparspakFactorization,
-        KLUFactorization,
-        UMFPACKFactorization,
-        KrylovJL_GMRES,
-        GenericLUFactorization,
-        RFLUFactorization,
-        LDLtFactorization,
-        BunchKaufmanFactorization,
-        CHOLMODFactorization,
-        SVDFactorization,
-        CholeskyFactorization,
-        NormalCholeskyFactorization,
-        AppleAccelerateLUFactorization,
-        MKLLUFactorization,
-        KrylovJL_CRAIGMR,
-        KrylovJL_LSMR,
-    )
+using LinearSolve
 
-    @testset "Success" begin
-        for alg in alglist
-            A = [2.0 1.0; -1.0 1.0]
-            b = [-1.0, 1.0]
-            prob = LinearProblem(A, b)
-            linsolve = init(prob, alg)
-            sol = solve!(linsolve)
-            @test SciMLBase.successful_retcode(sol.retcode) || sol.retcode == ReturnCode.Default # The latter seems off...
-        end
+alglist = (
+    LUFactorization,
+    QRFactorization,
+    DiagonalFactorization,
+    DirectLdiv!,
+    SparspakFactorization,
+    KLUFactorization,
+    UMFPACKFactorization,
+    KrylovJL_GMRES,
+    GenericLUFactorization,
+    RFLUFactorization,
+    LDLtFactorization,
+    BunchKaufmanFactorization,
+    CHOLMODFactorization,
+    SVDFactorization,
+    CholeskyFactorization,
+    NormalCholeskyFactorization,
+    AppleAccelerateLUFactorization,
+    MKLLUFactorization,
+    KrylovJL_CRAIGMR,
+    KrylovJL_LSMR,
+)
+
+@testset "Success" begin
+    for alg in alglist
+        A = [2.0 1.0; -1.0 1.0]
+        b = [-1.0, 1.0]
+        prob = LinearProblem(A, b)
+        linsolve = init(prob, alg)
+        sol = solve!(linsolve)
+        @test SciMLBase.successful_retcode(sol.retcode) || sol.retcode == ReturnCode.Default # The latter seems off...
     end
+end
 
-    @testset "Failure" begin
-        for alg in alglist
-            A = [1.0 1.0; 1.0 1.0]
-            b = [-1.0, 1.0]
-            prob = LinearProblem(A, b)
-            linsolve = init(prob, alg)
-            sol = solve!(linsolve)
-            @test !SciMLBase.successful_retcode(sol.retcode)
-        end
+@testset "Failure" begin
+    for alg in alglist
+        A = [1.0 1.0; 1.0 1.0]
+        b = [-1.0, 1.0]
+        prob = LinearProblem(A, b)
+        linsolve = init(prob, alg)
+        sol = solve!(linsolve)
+        @test !SciMLBase.successful_retcode(sol.retcode)
     end
 end