Autoformat

tests/test_superresolution.py

@@ -52,6 +52,7 @@ def test_torch_simple(constant_h):
     x, y = pystencils.fields('x,y: float32[2d]')
 
     h = pystencils.fields('h0,h1,h2,h3,h4,h5,h6,h7: float32[2d]')
+
     @crazy
     def move(x, y):
         A = sympy.Matrix([[h[0].center, h[1].center, h[2].center],
@@ -59,7 +60,6 @@ def test_torch_simple(constant_h):
                           [h[6].center, h[7].center, 1]])
         return {
             y.center: x.interpolated_access(ProjectiveMatrix(A) @ pystencils.x_vector(2))
-
         }
 
     if constant_h:
@@ -129,7 +129,7 @@ def test_warp():
                         for _ in range(NUM_LENNAS))
 
     scale_transform(lr_warp_vectors[0], warp_vectors[0], 10).compile()().forward(input_field=lr_warp_vectors[0],
-            output_field=warp_vectors[0])
+                                                                                 output_field=warp_vectors[0])
 
     # for i in range(len(warp_vectors)):
     # scale(lr_warp_vectors[i], warp_vectors[i], 10)
@@ -157,7 +157,6 @@ def test_to_polar():
     lenna_file = join(dirname(__file__), "test_data", "lenna.png")
     lenna = skimage.io.imread(lenna_file, as_gray=True).astype(np.float32)
 
-
     hr, lr = pystencils.fields('hr, lr: float32[2d]')
 
     hr.set_coordinate_origin_to_field_center()
@@ -165,6 +164,7 @@ def test_to_polar():
 
     lr.coordinate_transform = lambda x: sympy.Matrix((x.norm(), sympy.atan2(*x) / sympy.pi * 500))
 
+
 def test_polar_transform():
     x, y = pystencils.fields('x, y:  float32[2d]')