fix style

Author: jnke2016

python/cugraph/cugraph/structure/convert_matrix.py

@@ -446,7 +446,7 @@ def from_numpy_array(A, create_using=Graph, vertices=None):
     create_using: cugraph.Graph (instance or class), optional (default=Graph)
         Specify the type of Graph to create. Can pass in an instance to create
         a Graph instance with specified 'directed' attribute.
-    
+
     vertices : cudf.Series or List, optional (default=None)
         A cudf.Series or list containing all vertices of the graph. This is
         optional, but must be used if the graph contains isolated vertices

python/cugraph/cugraph/structure/graph_classes.py

@@ -500,7 +500,7 @@ def from_numpy_array(self, np_array, nodes=None, vertices=None):
 
         nodes: array-like or None, optional (default=None)
             A list of column names, acting as labels for nodes
-        
+
         vertices : cudf.Series or List, optional (default=None)
             A cudf.Series or list containing all vertices of the graph. This is
             optional, but must be used if the graph contains isolated vertices

python/cugraph/cugraph/tests/structure/test_graph.py

@@ -649,16 +649,20 @@ def test_number_of_edges():
 
 @pytest.mark.sg
 def test_vertex_list():
-    A = np.array([[0., 0., 0., 0., 0., 0., 0., 1., 0., 0.],
-       [0., 0., 0., 0., 0., 1., 0., 0., 1., 0.],
-       [0., 0., 0., 0., 0., 0., 0., 1., 0., 0.],
-       [0., 0., 0., 0., 0., 0., 0., 1., 0., 0.],
-       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
-       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
-       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],
-       [0., 0., 0., 0., 0., 0., 0., 1., 0., 0.],
-       [0., 0., 0., 0., 0., 0., 0., 1., 0., 0.],
-       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]])
+    A = np.array(
+        [
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
+        ]
+    )
 
     G = nx.from_numpy_array(A)
     cG = cugraph.from_numpy_array(nx.to_numpy_array(G))