Polish python code style

python/paddle/dataset/cifar.py

@@ -47,21 +47,25 @@ CIFAR100_MD5 = 'eb9058c3a382ffc7106e4002c42a8d85'
 def reader_creator(filename, sub_name, cycle=False):
     def read_batch(batch):
         data = batch[six.b('data')]
-        labels = batch.get(six.b('labels'), batch.get(six.b('fine_labels'), None))
+        labels = batch.get(
+            six.b('labels'), batch.get(six.b('fine_labels'), None))
         assert labels is not None
         for sample, label in six.moves.zip(data, labels):
             yield (sample / 255.0).astype(numpy.float32), int(label)
 
     def reader():
         with tarfile.open(filename, mode='r') as f:
-            names = [each_item.name for each_item in f if sub_name in each_item.name]
+            names = [
+                each_item.name for each_item in f if sub_name in each_item.name
+            ]
 
             while True:
                 for name in names:
                     if six.PY2:
                         batch = pickle.load(f.extractfile(name))
                     else:
-                        batch = pickle.load(f.extractfile(name), encoding='bytes')
+                        batch = pickle.load(
+                            f.extractfile(name), encoding='bytes')
                     for item in read_batch(batch):
                         yield item
                 if not cycle:

python/paddle/dataset/movielens.py

@@ -215,7 +215,8 @@ def max_job_id():
     Get the maximum value of job id.
     """
     __initialize_meta_info__()
-    return six.moves.reduce(__max_job_id_impl__, list(USER_INFO.values())).job_id
+    return six.moves.reduce(__max_job_id_impl__,
+                            list(USER_INFO.values())).job_id
 
 
 def movie_categories():

python/paddle/fluid/compat.py

@@ -23,6 +23,7 @@ __all__ = [
     'get_exception_message',
 ]
 
+
 #  str and bytes related functions
 def to_literal_str(obj, encoding='utf-8', inplace=False):
     """
@@ -181,10 +182,10 @@ def round(x, d=0):
         # The official walkaround of round in Python3 is incorrect
         # we implement accroding this answer: https://www.techforgeek.info/round_python.html
         if x > 0.0:
-            p = 10 ** d
+            p = 10**d
             return float(math.floor((x * p) + math.copysign(0.5, x))) / p
         elif x < 0.0:
-            p = 10 ** d
+            p = 10**d
             return float(math.ceil((x * p) + math.copysign(0.5, x))) / p
         else:
             return math.copysign(0.0, x)
@@ -208,6 +209,7 @@ def floor_division(x, y):
     """
     return x // y
 
+
 # exception related functions
 def get_exception_message(exc):
     """
@@ -225,4 +227,3 @@ def get_exception_message(exc):
         return exc.message
     else:
         return str(exc)
-

python/paddle/fluid/executor.py

@@ -320,8 +320,9 @@ class Executor(object):
         # append fetch_operators
         if not has_fetch_operators(global_block, fetch_list, fetch_var_name):
             for i, var in enumerate(fetch_list):
-                assert isinstance(var, Variable) or isinstance(var, six.text_type), (
-                    "Wrong type for fetch_list[%s]: %s" % (i, type(var)))
+                assert isinstance(var, Variable) or isinstance(
+                    var, six.text_type), ("Wrong type for fetch_list[%s]: %s" %
+                                          (i, type(var)))
                 global_block.append_op(
                     type='fetch',
                     inputs={'X': [var]},

python/paddle/fluid/layers/detection.py

@@ -1104,9 +1104,8 @@ def multi_box_head(inputs,
 
         mbox_loc = nn.transpose(mbox_loc, perm=[0, 2, 3, 1])
         new_shape = [
-            mbox_loc.shape[0],
-            mbox_loc.shape[1] * mbox_loc.shape[2] * cpt.floor_division(mbox_loc.shape[3], 4),
-            4
+            mbox_loc.shape[0], mbox_loc.shape[1] * mbox_loc.shape[2] *
+            cpt.floor_division(mbox_loc.shape[3], 4), 4
         ]
         mbox_loc_flatten = nn.reshape(mbox_loc, shape=new_shape)
         mbox_locs.append(mbox_loc_flatten)
@@ -1121,9 +1120,8 @@ def multi_box_head(inputs,
             stride=stride)
         conf_loc = nn.transpose(conf_loc, perm=[0, 2, 3, 1])
         new_shape = [
-            conf_loc.shape[0],
-            conf_loc.shape[1] * conf_loc.shape[2] * cpt.floor_division(conf_loc.shape[3], num_classes),
-            num_classes
+            conf_loc.shape[0], conf_loc.shape[1] * conf_loc.shape[2] *
+            cpt.floor_division(conf_loc.shape[3], num_classes), num_classes
         ]
         conf_loc_flatten = nn.reshape(conf_loc, shape=new_shape)
         mbox_confs.append(conf_loc_flatten)

python/paddle/fluid/tests/book/high-level-api/image_classification/cifar10_small_test_set.py

@@ -45,15 +45,17 @@ CIFAR10_MD5 = 'c58f30108f718f92721af3b95e74349a'
 def reader_creator(filename, sub_name, batch_size=None):
     def read_batch(batch):
         data = batch[six.b('data')]
-        labels = batch.get(six.b('labels'), batch.get(six.b('fine_labels'), None))
+        labels = batch.get(
+            six.b('labels'), batch.get(six.b('fine_labels'), None))
         assert labels is not None
         for sample, label in six.moves.zip(data, labels):
             yield (sample / 255.0).astype(numpy.float32), int(label)
 
     def reader():
         with tarfile.open(filename, mode='r') as f:
-            names = [each_item.name for each_item in f
-                     if sub_name in each_item.name]
+            names = [
+                each_item.name for each_item in f if sub_name in each_item.name
+            ]
 
             batch_count = 0
             for name in names:

python/paddle/fluid/tests/unittests/test_compat.py

@@ -63,7 +63,6 @@ class TestCompatible(unittest.TestCase):
             for i in l2:
                 self.assertTrue(isinstance(i, unicode))
 
-
             # check list types, inplace
             l = [""]
             l2 = cpt.to_literal_str(l, inplace=True)
@@ -272,7 +271,6 @@ class TestCompatible(unittest.TestCase):
             for i in l2:
                 self.assertTrue(isinstance(i, bytes))
 
-
             # check list types, inplace
             l = [""]
             l2 = cpt.to_bytes(l, inplace=True)
@@ -461,30 +459,35 @@ class TestCompatible(unittest.TestCase):
         exception_message = "test_message"
         self.assertRaises(AssertionError, cpt.get_exception_message, None)
         if six.PY2:
-            self.assertRaises(AttributeError, cpt.get_exception_message, exception_message)
+            self.assertRaises(AttributeError, cpt.get_exception_message,
+                              exception_message)
             try:
                 raise RuntimeError(exception_message)
             except Exception as e:
-                self.assertEqual(exception_message, cpt.get_exception_message(e))
+                self.assertEqual(exception_message,
+                                 cpt.get_exception_message(e))
                 self.assertIsNotNone(e)
 
             try:
                 raise Exception(exception_message)
             except Exception as e:
-                self.assertEqual(exception_message, cpt.get_exception_message(e))
+                self.assertEqual(exception_message,
+                                 cpt.get_exception_message(e))
                 self.assertIsNotNone(e)
 
         if six.PY3:
             try:
                 raise RuntimeError(exception_message)
             except Exception as e:
-                self.assertEqual(exception_message, cpt.get_exception_message(e))
+                self.assertEqual(exception_message,
+                                 cpt.get_exception_message(e))
                 self.assertIsNotNone(e)
 
             try:
                 raise Exception(exception_message)
             except Exception as e:
-                self.assertEqual(exception_message, cpt.get_exception_message(e))
+                self.assertEqual(exception_message,
+                                 cpt.get_exception_message(e))
                 self.assertIsNotNone(e)
 
 

python/paddle/fluid/tests/unittests/test_gru_op.py

@@ -39,7 +39,8 @@ class TestGRUOp(OpTest):
         for i in range(len(seq_lens)):
             seq_starts.append(seq_starts[-1] + seq_lens[i])
         sorted_seqs = sorted(
-            list(range(len(seq_lens))), key=functools.cmp_to_key(lambda x, y: seq_lens[y] - seq_lens[x]))
+            list(range(len(seq_lens))),
+            key=functools.cmp_to_key(lambda x, y: seq_lens[y] - seq_lens[x]))
         num_batch = seq_lens[sorted_seqs[0]]
         for batch_idx in range(num_batch):
             idx_in_seq = []

python/paddle/fluid/tests/unittests/test_operator_desc.py

@@ -36,8 +36,9 @@ class TestOperator(unittest.TestCase):
             block.append_op(type="no_such_op")
             self.assertFail()
         except ValueError as a_err:
-            self.assertEqual(cpt.get_exception_message(a_err),
-                             "Operator \"no_such_op\" has not been registered.")
+            self.assertEqual(
+                cpt.get_exception_message(a_err),
+                "Operator \"no_such_op\" has not been registered.")
 
     def test_op_desc_creation(self):
         program = Program()

python/paddle/fluid/tests/unittests/test_pool3d_op.py

@@ -29,14 +29,14 @@ def max_pool3D_forward_naive(x,
     if global_pool == 1:
         ksize = [D, H, W]
     D_out = (D - ksize[0] + 2 * paddings[0] + strides[0] - 1
-             ) // strides[0] + 1 if ceil_mode else (H - ksize[0] + 2 *
-                                                   paddings[0]) // strides[0] + 1
+             ) // strides[0] + 1 if ceil_mode else (
+                 H - ksize[0] + 2 * paddings[0]) // strides[0] + 1
     H_out = (H - ksize[1] + 2 * paddings[1] + strides[1] - 1
-             ) // strides[1] + 1 if ceil_mode else (W - ksize[1] + 2 *
-                                                   paddings[1]) // strides[1] + 1
+             ) // strides[1] + 1 if ceil_mode else (
+                 W - ksize[1] + 2 * paddings[1]) // strides[1] + 1
     W_out = (W - ksize[2] + 2 * paddings[2] + strides[2] - 1
-             ) // strides[2] + 1 if ceil_mode else (W - ksize[2] + 2 *
-                                                   paddings[2]) // strides[2] + 1
+             ) // strides[2] + 1 if ceil_mode else (
+                 W - ksize[2] + 2 * paddings[2]) // strides[2] + 1
     out = np.zeros((N, C, D_out, H_out, W_out))
     for k in range(D_out):
         d_start = np.max((k * strides[0] - paddings[0], 0))
@@ -63,14 +63,14 @@ def avg_pool3D_forward_naive(x,
     if global_pool == 1:
         ksize = [D, H, W]
     D_out = (D - ksize[0] + 2 * paddings[0] + strides[0] - 1
-             ) // strides[0] + 1 if ceil_mode else (H - ksize[0] + 2 *
-                                                   paddings[0]) // strides[0] + 1
+             ) // strides[0] + 1 if ceil_mode else (
+                 H - ksize[0] + 2 * paddings[0]) // strides[0] + 1
     H_out = (H - ksize[1] + 2 * paddings[1] + strides[1] - 1
-             ) // strides[1] + 1 if ceil_mode else (W - ksize[1] + 2 *
-                                                   paddings[1]) // strides[1] + 1
+             ) // strides[1] + 1 if ceil_mode else (
+                 W - ksize[1] + 2 * paddings[1]) // strides[1] + 1
     W_out = (W - ksize[2] + 2 * paddings[2] + strides[2] - 1
-             ) // strides[2] + 1 if ceil_mode else (W - ksize[2] + 2 *
-                                                   paddings[2]) // strides[2] + 1
+             ) // strides[2] + 1 if ceil_mode else (
+                 W - ksize[2] + 2 * paddings[2]) // strides[2] + 1
     out = np.zeros((N, C, D_out, H_out, W_out))
     for k in range(D_out):
         d_start = np.max((k * strides[0] - paddings[0], 0))

python/paddle/fluid/transpiler/memory_optimization_transpiler.py

@@ -259,9 +259,9 @@ class ControlFlowGraph(object):
                         # Rename the var to the cache var already with
                         # memory allocated in order to reuse the memory.
                         _rename_arg_(self._ops, x, cache_var, begin_idx=i)
-                        self._program.block(block_desc.id).var(cpt.to_literal_str(
-                            x)).desc = self._find_var(block_desc, cache_var,
-                                                      is_forward)
+                        self._program.block(block_desc.id).var(
+                            cpt.to_literal_str(x)).desc = self._find_var(
+                                block_desc, cache_var, is_forward)
                         self._update_graph(x, cache_var, begin_idx=i)
                         break