some formatting

theano/tensor/opt.py

@@ -1592,76 +1592,78 @@ def local_useless_elemwise(node):
         elif node.op.scalar_op == theano.scalar.mul and len(node.inputs) == 1:
             # No need to copy over any stack trace
             return [node.inputs[0]]
-            
+
         elif node.op.scalar_op == theano.scalar.add and len(node.inputs) == 1:
             # No need to copy over any stack trace
             return [node.inputs[0]]
             
         elif (
-            node.op.scalar_op == theano.scalar.identity
-            and len(node.inputs) == 1
+                node.op.scalar_op == theano.scalar.identity and
+                len(node.inputs) == 1
         ):
             return [node.inputs[0]]
+
         elif (
-            isinstance(node.op.scalar_op, scalar.AND)
-            and len(node.inputs) == 2
+                isinstance(node.op.scalar_op, scalar.AND) and
+                len(node.inputs) == 2
         ):
-            
+
             if (
-                isinstance(node.inputs[0], T.TensorConstant)
-                and T.extract_constant(node.inputs[0]) == 1
+                    isinstance(node.inputs[0], T.TensorConstant) and
+                    T.extract_constant(node.inputs[0]) == 1
             ):
                 return [node.inputs[1]]
-                
-            if (
 
-                isinstance(node.inputs[1], T.TensorConstant)
-                and T.extract_constant(node.inputs[1]) == 1
+            if (
+                    isinstance(node.inputs[1], T.TensorConstant) and
+                    T.extract_constant(node.inputs[1]) == 1
             ):
                 return [node.inputs[0]]
-                
+
             if (
-                isinstance(node.inputs[0], T.TensorConstant)
-                and T.extract_constant(node.inputs[0]) == 0
+                    isinstance(node.inputs[0], T.TensorConstant) and
+                    T.extract_constant(node.inputs[0]) == 0
             ):
                 return zeros_like(node, 1)
-                
+
             if (
-                isinstance(node.inputs[1], T.TensorConstant)
-                and T.extract_constant(node.inputs[1]) == 0
+                    isinstance(node.inputs[1], T.TensorConstant) and
+                    T.extract_constant(node.inputs[1]) == 0
             ):
                 return zeros_like(node, 0)
+
         elif (
-            isinstance(node.op.scalar_op, scalar.OR)
-            and len(node.inputs) == 2
+                isinstance(node.op.scalar_op, scalar.OR) and
+                len(node.inputs) == 2
         ):
-            
+
             if (
-                isinstance(node.inputs[0], T.TensorConstant)
-                and T.extract_constant(node.inputs[0]) == 0
+                    isinstance(node.inputs[0], T.TensorConstant) and
+                    T.extract_constant(node.inputs[0]) == 0
             ):
                 return [node.inputs[1]]
-                
+
             if (
-                isinstance(node.inputs[1], T.TensorConstant)
-                and T.extract_constant(node.inputs[1]) == 0
+                    isinstance(node.inputs[1], T.TensorConstant) and
+                    T.extract_constant(node.inputs[1]) == 0
             ):
                 return [node.inputs[0]]
-                
+
             if (
-                isinstance(node.inputs[0], T.TensorConstant)
-                and T.extract_constant(node.inputs[0]) == 1
+                    isinstance(node.inputs[0], T.TensorConstant) and
+                    T.extract_constant(node.inputs[0]) == 1
             ):
                 return ones_like(node, 1)
-                
+
             if (
-               isinstance(node.inputs[1], T.TensorConstant)
-                and T.extract_constant(node.inputs[1]) == 1
+                    isinstance(node.inputs[1], T.TensorConstant) and
+                    T.extract_constant(node.inputs[1]) == 1
             ):
                 return ones_like(node, 0)
+
         elif (
-            isinstance(node.op.scalar_op, scalar.XOR)
-            and len(node.inputs) == 2
+                isinstance(node.op.scalar_op, scalar.XOR) and
+                len(node.inputs) == 2
         ):
             if node.inputs[0] == node.inputs[1]:
                 return zeros_like(node, 0)