fix cache description again

mindspore/dataset/engine/datasets.py

@@ -2144,6 +2144,7 @@ class RepeatDataset(DatasetOp):
         """
         return self.count
 
+
 class SkipDataset(DatasetOp):
     """
     The result of applying Skip operator to the input Dataset.
@@ -2409,6 +2410,7 @@ class TransferDataset(DatasetOp):
     def stop_send(self):
         self.iterator.depipeline.StopSend()
 
+
 class RangeDataset(MappableDataset):
     """
     A source dataset that reads and parses datasets stored on disk in a range.
@@ -5319,6 +5321,7 @@ class BuildVocabDataset(DatasetOp):
 
         return new_op
 
+
 class BuildSentencePieceVocabDataset(DatasetOp):
     """
     Build a SentencePieceVocab from a dataset.

tests/ut/python/dataset/test_cache_map.py

@@ -24,6 +24,7 @@ DATA_DIR = "../data/dataset/testImageNetData/train/"
 
 GENERATE_GOLDEN = False
 
+
 def test_cache_map_basic1():
     """
     Test mappable leaf with cache op right over the leaf
@@ -117,28 +118,28 @@ def test_cache_map_basic3():
 
 
 def test_cache_map_basic4():
-  """
-  Test different rows result in core dump
-  """
-  logger.info("Test cache basic 4")
-  some_cache = ds.DatasetCache(session_id=1, size=0, spilling=True)
+    """
+    Test different rows result in core dump
+    """
+    logger.info("Test cache basic 4")
+    some_cache = ds.DatasetCache(session_id=1, size=0, spilling=True)
 
-  # This DATA_DIR only has 2 images in it
-  ds1 = ds.ImageFolderDatasetV2(dataset_dir=DATA_DIR, cache=some_cache)
-  decode_op = c_vision.Decode()
-  ds1 = ds1.repeat(4)
-  ds1 = ds1.map(input_columns=["image"], operations=decode_op)
-  logger.info("ds1.dataset_size is ", ds1.get_dataset_size())
-  shape = ds1.output_shapes()
-  logger.info(shape)
-  num_iter = 0
-  for _ in ds1.create_dict_iterator():
-      logger.info("get data from dataset")
-      num_iter += 1
+    # This DATA_DIR only has 2 images in it
+    ds1 = ds.ImageFolderDatasetV2(dataset_dir=DATA_DIR, cache=some_cache)
+    decode_op = c_vision.Decode()
+    ds1 = ds1.repeat(4)
+    ds1 = ds1.map(input_columns=["image"], operations=decode_op)
+    logger.info("ds1.dataset_size is ", ds1.get_dataset_size())
+    shape = ds1.output_shapes()
+    logger.info(shape)
+    num_iter = 0
+    for _ in ds1.create_dict_iterator():
+        logger.info("get data from dataset")
+        num_iter += 1
 
-  logger.info("Number of data in ds1: {} ".format(num_iter))
-  assert num_iter == 8
-  logger.info('test_cache_basic3 Ended.\n')
+    logger.info("Number of data in ds1: {} ".format(num_iter))
+    assert num_iter == 8
+    logger.info('test_cache_basic3 Ended.\n')
 
 
 def test_cache_map_failure1():
@@ -177,6 +178,7 @@ def test_cache_map_failure1():
     assert num_iter == 0
     logger.info('test_cache_failure1 Ended.\n')
 
+
 if __name__ == '__main__':
     test_cache_map_basic1()
     logger.info("test_cache_map_basic1 success.")