More tests for CUDA + MPS

[kshyatt]

Revealed a bunch more missing things needing fixes, so I will keep this as draft for now.

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diff --git a/src/operators/jordanmpotensor.jl b/src/operators/jordanmpotensor.jl
index 891ff8f..3528d22 100644
--- a/src/operators/jordanmpotensor.jl
+++ b/src/operators/jordanmpotensor.jl
@@ -238,10 +238,10 @@ end
     j = I[4]
     if (size(W, 4) > 1 && i == 1 && j == 1) ||
             (size(W, 1) > 1 && i == size(W, 1) && j == size(W, 4))
-            T = scalartype(W)
-            TA = storagetype(W)
-            S = spacetype(eachspace(W)[1])
-            return BraidingTensor{T, S, TA}(eachspace(W)[1])
+        T = scalartype(W)
+        TA = storagetype(W)
+        S = spacetype(eachspace(W)[1])
+        return BraidingTensor{T, S, TA}(eachspace(W)[1])
     elseif i == 1 && j == size(W, 4)
         return insertrightunit(insertleftunit(only(W.D), 1), 3)
     elseif i == 1
diff --git a/test/gpu/cuda/operators.jl b/test/gpu/cuda/operators.jl
index 44337e8..030fd74 100644
--- a/test/gpu/cuda/operators.jl
+++ b/test/gpu/cuda/operators.jl
@@ -176,7 +176,7 @@ end
     H1mps = H1 * mps
     @test TensorKit.storagetype(H1mps) == CuVector{T, CUDA.DeviceMemory}
     hH1tmstate = hH1_tm * hstate
-    H1tmstate = H1_tm * state 
+    H1tmstate = H1_tm * state
     @test TensorKit.storagetype(H1tmstate) == CuVector{T, CUDA.DeviceMemory}
     @test norm(H1mps) ≈ norm(H1tmstate)