[CodeStyle][B020] rename iterable and it's iterates when they have same name (#52128)

* [CodeStyle][B020] rename for

* [CodeStyle][B020] rename for

pyproject.toml

@@ -105,7 +105,7 @@ select = [
     # "B017",
     "B018",
     "B019",
-    # "B020",
+    "B020",
     "B021",
     "B022",
     # "B023",

python/paddle/distributed/auto_parallel/engine.py

@@ -384,13 +384,13 @@ class Engine:
         if data is not None:
             if isinstance(data, (list, tuple)):
                 if len(data) == 1 and isinstance(data[0], dict):
-                    for name, data in data[0].items():
-                        feeds[name] = data
+                    for name, value in data[0].items():
+                        feeds[name] = value
                 else:
                     raise ValueError("Unsupported data {}".format(data))
             elif isinstance(data, dict):
-                for name, data in data.items():
-                    feeds[name] = data
+                for name, value in data.items():
+                    feeds[name] = value
             else:
                 raise ValueError("Unsupported data {}".format(data))
         if user_feeds is not None:

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

@@ -841,7 +841,7 @@ class OpTest(unittest.TestCase):
                 ), "Duplicable {} should be set as list".format(name)
                 var_list = []
                 slot_name = name
-                for (name, np_value) in np_list[name]:
+                for (name, np_value) in np_list[slot_name]:
                     v = create_var(
                         np_value,
                         name,

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

@@ -844,7 +844,7 @@ class OpTest(unittest.TestCase):
                 ), "Duplicable {} should be set as list".format(name)
                 var_list = []
                 slot_name = name
-                for (name, np_value) in np_list[name]:
+                for (name, np_value) in np_list[slot_name]:
                     v = create_var(
                         np_value,
                         name,

test/legacy_test/test_progressbar.py

@@ -23,7 +23,7 @@ from paddle.hapi.progressbar import ProgressBar
 
 class TestProgressBar(unittest.TestCase):
     def prog_bar(self, num, epoch, width, verbose=1):
-        for epoch in range(epoch):
+        for i in range(epoch):
             progbar = ProgressBar(num, verbose=verbose)
             values = [
                 ['loss', 50.341673],