Fix and test opnorm for sparse

[kshyatt]

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diff --git a/src/host/sparse.jl b/src/host/sparse.jl
index 3fae318..5c475b0 100644
--- a/src/host/sparse.jl
+++ b/src/host/sparse.jl
@@ -75,7 +75,7 @@ function LinearAlgebra.opnorm(A::AbstractGPUSparseMatrixCSR, p::Real=2)
     end
 end
 
-LinearAlgebra.opnorm(A::AbstractGPUSparseMatrixCSC, p::Real=2) = opnorm(csr_type(A)(A), p)
+LinearAlgebra.opnorm(A::AbstractGPUSparseMatrixCSC, p::Real = 2) = opnorm(csr_type(A)(A), p)
 
 function LinearAlgebra.norm(A::AbstractGPUSparseMatrix{T}, p::Real=2) where T
     if p == Inf
diff --git a/test/testsuite/sparse.jl b/test/testsuite/sparse.jl
index 08c5ab1..5c464e3 100644
--- a/test/testsuite/sparse.jl
+++ b/test/testsuite/sparse.jl
@@ -345,19 +345,20 @@ function linalg(AT, eltypes)
         if !(ET <: Union{Int16, Int32, Int64, Complex{Int16}, Complex{Int32}, Complex{Int64}})
             @testset "Sparse matrix($ET) linear algebra" begin
                 m = 10
-                A  = sprandn(ET, m, m, 0.2)
-                B  = sprandn(ET, m, m, 0.3)
+                A = sprandn(ET, m, m, 0.2)
+                B = sprandn(ET, m, m, 0.3)
                 ZA = spzeros(ET, m, m)
-                C  = I(div(m, 2))
+                C = I(div(m, 2))
                 dA = AT(A)
                 dB = AT(B)
                 dZA = AT(ZA)
                 @testset "opnorm and norm" begin
                     @test opnorm(A, Inf) ≈ opnorm(dA, Inf)
-                    @test opnorm(A, 1)   ≈ opnorm(dA, 1)
+                    @test opnorm(A, 1) ≈ opnorm(dA, 1)
                     @test_throws ArgumentError opnorm(dA, 2)
                 end
             end
         end
     end
+    return
 end