Fix pep8 errors

theano/tensor/basic.py

@@ -3225,13 +3225,13 @@ def var(input, axis=None, ddof=0, keepdims=False, corrected=False):
     # use 'corrected_two_pass' algorithm
     if corrected:
         if ddof == 0:
-            error = mean(centered_input, axis, keepdims=keepdims)**2
+            error = mean(centered_input, axis, keepdims=keepdims) ** 2
         else:
             shp = shape(input) - ddof
             shp_inp = shape(input)
-            error = sum(centered_input, axis=axis, keepdims=keepdims)**2
+            error = sum(centered_input, axis=axis, keepdims=keepdims) ** 2
             for i in axis:
-                error = true_div(error, shp[i]*shp_inp[i])
+                error = true_div(error, shp[i] * shp_inp[i])
         v = v - error
 
     v.name = 'var'

theano/tensor/tests/test_basic.py

@@ -6386,8 +6386,8 @@ def test_var():
     v = numpy.var(a_val, axis=2, ddof=1)
     shp_inp = numpy.shape(a_val)
     shp = shp_inp - numpy.array(1)
-    error = (numpy.sum(centered_a, axis=2))**2
-    error = numpy.true_divide(error, shp[1]*shp_inp[1])
+    error = (numpy.sum(centered_a, axis=2)) ** 2
+    error = numpy.true_divide(error, shp[1] * shp_inp[1])
     v = v - error
     assert numpy.allclose(v, f(a_val))