diff --git a/MindElec/examples/data_driven/parameterization/src/dataset.py b/MindElec/examples/data_driven/parameterization/src/dataset.py
index 00f41cd06a8d796728fe36a1c882ba6f01e68137..026d5c8a6e26422647e078937ea7f4fa7bd998a3 100755
--- a/MindElec/examples/data_driven/parameterization/src/dataset.py
+++ b/MindElec/examples/data_driven/parameterization/src/dataset.py
@@ -43,6 +43,7 @@ def create_dataset(opt):
     """
     load data
     """
+
     data_input_path = opt.input_path
     data_label_path = opt.label_path
 
diff --git a/MindElec/examples/data_driven/pointcloud/S_parameter/src/dataset.py b/MindElec/examples/data_driven/pointcloud/S_parameter/src/dataset.py
index 21f06a6f7e72081bae861281538f1001436428d3..4f464a041d5bcf9eaf51dd57790f1d6549425c0e 100644
--- a/MindElec/examples/data_driven/pointcloud/S_parameter/src/dataset.py
+++ b/MindElec/examples/data_driven/pointcloud/S_parameter/src/dataset.py
@@ -26,6 +26,7 @@ SAVE_DATA_PATH = "./"
 
 def custom_normalize(dataset, mean=None, std=None):
     """ custom normalization """
+
     ori_shape = dataset.shape
     dataset = dataset.reshape(ori_shape[0], -1)
     dataset = np.transpose(dataset)
diff --git a/MindElec/examples/data_driven/pointcloud/S_parameter/train.py b/MindElec/examples/data_driven/pointcloud/S_parameter/train.py
index 4930b47556f954d6e02ea7b433571ce026ea4b5a..058706e3be26df681c2d88e4c649f92a5ab381c7 100644
--- a/MindElec/examples/data_driven/pointcloud/S_parameter/train.py
+++ b/MindElec/examples/data_driven/pointcloud/S_parameter/train.py
@@ -48,6 +48,7 @@ opt = parser.parse_args()
 context.set_context(mode=context.GRAPH_MODE, save_graphs=False, device_target="Ascend", device_id=opt.device_num)
 
 def init_weight(net):
+
     """init_weight"""
     for _, cell in net.cells_and_names():
         if isinstance(cell, (nn.Conv3d, nn.Dense)):
diff --git a/MindElec/examples/data_driven/pointcloud/data_compression/src/dataset.py b/MindElec/examples/data_driven/pointcloud/data_compression/src/dataset.py
index 81f68e677a2c740775824dfdcf3b7dd14ed0095a..13a32336e0147828055cecd857544ed70124e4cc 100644
--- a/MindElec/examples/data_driven/pointcloud/data_compression/src/dataset.py
+++ b/MindElec/examples/data_driven/pointcloud/data_compression/src/dataset.py
@@ -31,6 +31,7 @@ SAVE_DATA_PATH = "./"
 
 def generate_data(input_path):
     """generate training data and data configuration"""
+
     space_temp = np.load(input_path)
 
     print("data load finish")
diff --git a/MindElec/examples/data_driven/pointcloud/full_em/src/dataset.py b/MindElec/examples/data_driven/pointcloud/full_em/src/dataset.py
index 0f4da3370b4ee3b79fa3dfb1e938a436d05ec1e4..6c10c01eae04a498540f55437b1d2c2edd74720f 100644
--- a/MindElec/examples/data_driven/pointcloud/full_em/src/dataset.py
+++ b/MindElec/examples/data_driven/pointcloud/full_em/src/dataset.py
@@ -21,6 +21,7 @@ from mindelec.data import Dataset, ExistedDataConfig
 
 def create_dataset(data_path, batch_size=8, shuffle=True, drop_remainder=True, is_train=True):
     """create dataset"""
+
     input_path = data_path + "inputs.npy"
     label_path = data_path + "label.npy"
     electromagnetic = ExistedDataConfig(name="electromagnetic",