Format fix

Author: kshyatt

test/factorizations.jl

@@ -39,7 +39,8 @@ for V in spacelist
                                                        TensorKit.PolarViaSVD(TensorKit.LAPACK_DivideAndConquer()),
                                                        TensorKit.LAPACK_QRIteration(),
                                                        TensorKit.LAPACK_DivideAndConquer())
-                        (codomain(t) ≾ domain(t)) && alg isa TensorKit.PolarViaSVD && continue
+                        (codomain(t) ≾ domain(t)) && alg isa TensorKit.PolarViaSVD &&
+                            continue
                         Q, R = @constinferred leftorth(t; alg=alg)
                         @test isisometry(Q)
                         @test Q * R ≈ t
@@ -60,7 +61,8 @@ for V in spacelist
                                                         TensorKit.PolarViaSVD(TensorKit.LAPACK_DivideAndConquer()),
                                                         TensorKit.LAPACK_QRIteration(),
                                                         TensorKit.LAPACK_DivideAndConquer())
-                        (domain(t) ≾ codomain(t)) && alg isa TensorKit.PolarViaSVD && continue
+                        (domain(t) ≾ codomain(t)) && alg isa TensorKit.PolarViaSVD &&
+                            continue
                         L, Q = @constinferred rightorth(t; alg=alg)
                         @test isisometry(Q; side=:right)
                         @test L * Q ≈ t
@@ -80,28 +82,28 @@ for V in spacelist
                         @test isisometry(V; side=:right)
                         @test U * S * V ≈ t
 
-                        s  = LinearAlgebra.svdvals(t)
+                        s = LinearAlgebra.svdvals(t)
                         s′ = LinearAlgebra.diag(S)
                         for (c, b) in s
                             @test b ≈ s′[c]
                         end
-                        s  = LinearAlgebra.svdvals(t')
+                        s = LinearAlgebra.svdvals(t')
                         s′ = LinearAlgebra.diag(S')
                         for (c, b) in s
                             @test b ≈ s′[c]
                         end
                     end
                     @testset "cond and rank" begin
-                        d1   = dim(codomain(t))
-                        d2   = dim(domain(t))
+                        d1 = dim(codomain(t))
+                        d2 = dim(domain(t))
                         @test rank(t) == min(d1, d2)
-                        M    = leftnull(t)
+                        M = leftnull(t)
                         @test rank(M) + rank(t) == d1
-                        t3   = unitary(T, V1 ⊗ V2, V1 ⊗ V2)
+                        t3 = unitary(T, V1 ⊗ V2, V1 ⊗ V2)
                         @test cond(t3) ≈ one(real(T))
                         @test rank(t3) == dim(V1 ⊗ V2)
-                        t4   = randn(T, V1 ⊗ V2, V1 ⊗ V2)
-                        t4   = (t4 + t4') / 2
+                        t4 = randn(T, V1 ⊗ V2, V1 ⊗ V2)
+                        t4 = (t4 + t4') / 2
                         vals = LinearAlgebra.eigvals(t4)
                         λmax = maximum(s -> maximum(abs, s), values(vals))
                         λmin = minimum(s -> minimum(abs, s), values(vals))