pep8

theano/sandbox/linalg/tests/test_linalg.py

@@ -281,29 +281,30 @@ def test_trace():
         ok = True
     assert ok
 
+
 def test_spectral_radius_bound():
-    tol = 10**(-6)
+    tol = 10 ** (-6)
     rng = numpy.random.RandomState(utt.fetch_seed())
     x = theano.tensor.matrix()
     radius_bound = spectral_radius_bound(x, 5)
     f = theano.function([x], radius_bound)
-    
-    shp = (3, 3)
+
+    shp = (3, 4)
     m = rng.rand(*shp).astype(config.floatX)
     m = numpy.cov(m).astype(config.floatX)
     radius_bound_theano = f(m)
-    
+
     # test the approximation
     mm = m
     for i in range(5):
         mm = numpy.dot(mm, mm)
-    radius_bound_numpy = numpy.trace(mm)**(2**(-5))
+    radius_bound_numpy = numpy.trace(mm) ** (2 ** (-5))
     assert abs(radius_bound_numpy - radius_bound_theano) < tol
-    
-    # test the bound 
+
+    # test the bound
     eigen_val = numpy.linalg.eig(m)
     assert (eigen_val[0].max() - radius_bound_theano) < tol
-    
+
     # test type errors
     xx = theano.tensor.vector()
     ok = False
@@ -318,7 +319,7 @@ def test_spectral_radius_bound():
     except TypeError:
         ok = True
     assert ok
-    
+
     # test value error
     ok = False
     try: