fix too-many-format-args (#33353)

paddle/fluid/inference/tests/api/full_ILSVRC2012_val_preprocess.py

@@ -167,8 +167,8 @@ def run_convert():
                os.path.getsize(output_file) == FULL_SIZE_BYTES):
         if os.path.exists(output_file):
             sys.stderr.write(
-                "\n\nThe existing binary file is broken. Start to generate new one...\n\n".
-                format(output_file))
+                "\n\nThe existing binary file is broken. Start to generate new one...\n\n"
+            )
             os.remove(output_file)
         if retry < try_limit:
             retry = retry + 1

python/paddle/distributed/fleet/base/distributed_strategy.py

@@ -286,7 +286,7 @@ class DistributedStrategy(object):
             self.a_sync_configs = {"k_steps": 0}
         else:
             raise ValueError(
-                "The type of `flag` is invalid, expected type is bool, but received %s".
+                "The type of `flag` is invalid, expected type is bool, but received {}".
                 format(type(flag)))
 
     @property

python/paddle/distributed/fleet/launch_utils.py

@@ -195,7 +195,7 @@ class Pod(object):
                 self.id != pod.id or \
                 self.addr != pod.addr or \
                 self.port != pod.port:
-            logger.debug("pod {} != pod".format(self, pod))
+            logger.debug("pod {} != {}".format(self, pod))
             return False
 
         if len(self.trainers) != len(pod.trainers):

python/paddle/distributed/fleet/meta_optimizers/sharding/utils.py

@@ -368,7 +368,8 @@ def insert_reduce_ops(block,
     for var in reduce_vars:
 
         root_id = get_grad_device(var, shard)
-        assert root_id >= 0, "root id should be a positive int".format(var)
+        assert root_id >= 0, "root id should be a positive int, but now root id is {}".format(
+            root_id)
         block._insert_op_without_sync(
             insert_idx,
             type='c_reduce_sum',

python/paddle/distributed/fleet/utils/fs.py

@@ -841,8 +841,7 @@ class HDFSClient(FS):
                     fs_src_path))
 
             if self.is_exist(fs_dst_path):
-                raise FSFileExistsError("{} exists already".format(
-                    fs_src_path, fs_dst_path, fs_dst_path))
+                raise FSFileExistsError("{} exists already".format(fs_dst_path))
 
         return self._try_mv(fs_src_path, fs_dst_path)
 

python/paddle/distributed/utils.py

@@ -264,7 +264,7 @@ class Pod(object):
                 self.id != pod.id or \
                 self.addr != pod.addr or \
                 self.port != pod.port:
-            logger.debug("pod {} != pod".format(self, pod))
+            logger.debug("pod {} != {}".format(self, pod))
             return False
 
         if len(self.trainers) != len(pod.trainers):

python/paddle/fluid/framework.py

@@ -2142,7 +2142,7 @@ class Operator(object):
         """
         assert isinstance(
             skip_op_callstack, bool
-        ), "skip_op_callstack parameter's type is error, expect bool, received %s".format(
+        ), "skip_op_callstack parameter's type is error, expect bool, received {}".format(
             type(skip_op_callstack))
         outputs_str = "{"
         for i in range(0, len(self.output_names)):
@@ -2550,7 +2550,7 @@ class Block(object):
         """
         assert isinstance(
             skip_op_callstack, bool
-        ), "skip_op_callstack parameter's type is error, expect bool, received %s".format(
+        ), "skip_op_callstack parameter's type is error, expect bool, received {}".format(
             type(skip_op_callstack))
         block_str = "{ // block "
         block_str += "{}\n".format(self.idx)
@@ -4259,7 +4259,7 @@ class Program(object):
         """
         assert isinstance(
             skip_op_callstack, bool
-        ), "skip_op_callstack parameter's type is error, expect bool, received %s".format(
+        ), "skip_op_callstack parameter's type is error, expect bool, received {}".format(
             type(skip_op_callstack))
         program_str = ""
         for block in self.blocks:

python/paddle/fluid/incubate/fleet/utils/hdfs.py

@@ -268,8 +268,7 @@ class HDFSClient(FS):
                     fs_src_path))
 
             if self.is_exist(fs_dst_path):
-                raise FSFileExistsError("{} exists already".format(
-                    fs_src_path, fs_dst_path, fs_dst_path))
+                raise FSFileExistsError("{} exists already".format(fs_dst_path))
 
         return self._try_mv(fs_src_path, fs_dst_path)
 

python/paddle/fluid/tests/test_beam_search_decoder.py

@@ -246,7 +246,7 @@ def inject_test_train(use_cuda):
 
 
 def inject_test_decode(use_cuda, decorator=None):
-    f_name = 'test_{0}_decode'.format('cuda' if use_cuda else 'cpu', 'sparse')
+    f_name = 'test_{0}_decode'.format('cuda' if use_cuda else 'cpu')
 
     def f(*args):
         with scope_prog_guard():

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

@@ -72,7 +72,7 @@ class TestTracedLayerErrMsg(unittest.TestCase):
                     self.layer, 3)
             self.assertEqual(
                 "The type of 'each element of inputs' in fluid.dygraph.jit.TracedLayer.trace must be fluid.Variable, but received <{} 'int'>.".
-                format(self.type_str, self.type_str), str(e.exception))
+                format(self.type_str), str(e.exception))
             with self.assertRaises(TypeError) as e:
                 dygraph_out, traced_layer = fluid.dygraph.TracedLayer.trace(
                     self.layer, [True, 1])

python/paddle/vision/transforms/functional_cv2.py

@@ -392,7 +392,8 @@ def adjust_hue(img, hue_factor):
     cv2 = try_import('cv2')
 
     if not (-0.5 <= hue_factor <= 0.5):
-        raise ValueError('hue_factor is not in [-0.5, 0.5].'.format(hue_factor))
+        raise ValueError('hue_factor:{} is not in [-0.5, 0.5].'.format(
+            hue_factor))
 
     dtype = img.dtype
     img = img.astype(np.uint8)

python/paddle/vision/transforms/functional_pil.py

@@ -378,7 +378,8 @@ def adjust_hue(img, hue_factor):
 
     """
     if not (-0.5 <= hue_factor <= 0.5):
-        raise ValueError('hue_factor is not in [-0.5, 0.5].'.format(hue_factor))
+        raise ValueError('hue_factor:{} is not in [-0.5, 0.5].'.format(
+            hue_factor))
 
     input_mode = img.mode
     if input_mode in {'L', '1', 'I', 'F'}: