indentation correction

doc/examples/plot_rag_boundary.py

@@ -8,7 +8,7 @@ This example demonstrates construction of region boundary based RAGs with the
 """
 from skimage.future import graph
 from skimage import data, segmentation, color, filters, io
-from matplotlib import pyplot as plt, colors
+from matplotlib import pyplot as colors
 
 img = data.coffee()
 gimg = color.rgb2gray(img)

skimage/future/graph/rag.py

@@ -349,8 +349,7 @@ def rag_boundary(labels, edge_map, connectivity=2):
     nbr_indices = list(np.ndindex(*[2]*labels.ndim))
     del nbr_indices[0]
     nbr_indices_arr = ([idx for idx in nbr_indices if np.linalg.norm(idx)
-                   <= connectivity])
-
+                        <= connectivity])
 
     iter_shape = tuple(np.array(labels.shape) - 1)
 
@@ -358,14 +357,14 @@ def rag_boundary(labels, edge_map, connectivity=2):
 
         index_arr = np.array(index)
         current = labels[index]
-        graph.add_node(current, {'labels':[current]})
+        graph.add_node(current, {'labels': [current]})
 
         for nbr_index in nbr_indices_arr:
 
             adjacent_idx = tuple(index_arr + nbr_index)
             adjacent = labels[adjacent_idx]
 
-            if current==adjacent:
+            if current == adjacent:
                 continue
 
             if graph.has_edge(current, adjacent):

skimage/future/graph/tests/test_rag.py

@@ -202,8 +202,8 @@ def test_rag_boundary():
     labels = np.zeros((16, 16), dtype='uint8')
     edge_map = np.zeros_like(labels, dtype=float)
 
-    edge_map[8,:] = 0.5
-    edge_map[:,8] = 1.0
+    edge_map[8, :] = 0.5
+    edge_map[:, 8] = 1.0
 
     labels[:8, :8] = 1
     labels[:8, 8:] = 2