pep8

theano/tests/unittest_tools.py

@@ -30,10 +30,10 @@ def good_seed_param(seed):
     return True
 
 AddConfigVar('unittests.rseed',
-        "Seed to use for randomized unit tests. "
-        "Special value 'random' means using a seed of None.",
-        StrParam(666, is_valid=good_seed_param),
-        in_c_key=False)
+             "Seed to use for randomized unit tests. "
+             "Special value 'random' means using a seed of None.",
+             StrParam(666, is_valid=good_seed_param),
+             in_c_key=False)
 
 
 def fetch_seed(pseed=None):
@@ -41,15 +41,15 @@ def fetch_seed(pseed=None):
     Returns the seed to use for running the unit tests.
     If an explicit seed is given, it will be used for seeding numpy's rng.
     If not, it will use config.unittest.rseed (its default value is 666).
-    If config.unittest.rseed is set to "random", it will seed the rng with None,
-    which is equivalent to seeding with a random seed.
+    If config.unittest.rseed is set to "random", it will seed the rng with
+    None, which is equivalent to seeding with a random seed.
 
     Useful for seeding RandomState objects.
     >>> rng = numpy.random.RandomState(unittest_tools.fetch_seed())
     """
 
     seed = pseed or config.unittests.rseed
-    if seed=='random':
+    if seed == 'random':
         seed = None
 
     try:
@@ -58,8 +58,8 @@ def fetch_seed(pseed=None):
         else:
             seed = None
     except ValueError:
-        print >> sys.stderr, 'Error: config.unittests.rseed contains '\
-                'invalid seed, using None instead'
+        print >> sys.stderr, ('Error: config.unittests.rseed contains '
+                              'invalid seed, using None instead')
         seed = None
 
     return seed
@@ -72,7 +72,7 @@ def seed_rng(pseed=None):
     """
 
     seed = fetch_seed(pseed)
-    if pseed and pseed!=seed:
+    if pseed and pseed != seed:
         print >> sys.stderr, 'Warning: using seed given by config.unittests.rseed=%i'\
                 'instead of seed %i given as parameter' % (seed, pseed)
     numpy.random.seed(seed)
@@ -155,7 +155,8 @@ class T_OpContractMixin(object):
             assert op_i == self.clone(op_i)
             assert op_i != self.other_op
             for j, op_j in enumerate(self.ops):
-                if i == j: continue
+                if i == j:
+                    continue
                 assert op_i != op_j
 
     def test_hash(self):
@@ -167,7 +168,8 @@ class T_OpContractMixin(object):
             assert h_i == hash(self.clone(op_i))
             assert h_i != hash(self.other_op)
             for j, op_j in enumerate(self.ops):
-                if i == j: continue
+                if i == j:
+                    continue
                 assert op_i != hash(op_j)
 
     def test_name(self):