diff --git a/preprocessing/sports/space_data/basketball/basketball_space_class.py b/preprocessing/sports/space_data/basketball/basketball_space_class.py
index 7119f2b..7203b78 100644
--- a/preprocessing/sports/space_data/basketball/basketball_space_class.py
+++ b/preprocessing/sports/space_data/basketball/basketball_space_class.py
@@ -1,11 +1,11 @@
 import os
+import zipfile
+
+import gdown
 import pandas as pd
-from tqdm import tqdm
 from scipy.io import loadmat
-import pandas as pd
-import gdown
-import zipfile
-import os
+from tqdm import tqdm
+
 
 class Basketball_space_data:
     def __init__(self,data_provider,data_path, *args, **kwargs):
@@ -13,7 +13,7 @@ def __init__(self,data_provider,data_path, *args, **kwargs):
         self.data_path = data_path
 
 
-    def preprocessing(self, nb_process_game):
+    def preprocessing(self, nb_process_game='ALL'):
 
         if self.data_provider == "SportVU_NBA":
 
@@ -159,4 +159,5 @@ def download_data(self):
 
         os.remove(output_zip_path)
         print("delete the unecessary zip file")
+        return print("Data downloaded finish")        print("delete the unecessary zip file")
         return print("Data downloaded finish")
\ No newline at end of file
diff --git a/preprocessing/sports/space_data/ultimate/ultimate_space_class.py b/preprocessing/sports/space_data/ultimate/ultimate_space_class.py
index dbd5576..afa3f30 100644
--- a/preprocessing/sports/space_data/ultimate/ultimate_space_class.py
+++ b/preprocessing/sports/space_data/ultimate/ultimate_space_class.py
@@ -55,7 +55,7 @@ def preprocessing(self):
                 os.path.splitext(os.path.basename(tracking_path_i))[0]
             )[0]
             match_tracking_df = pd.read_csv(tracking_path_i)
-            print(match_tracking_df)
+
             # Create intermediate DataFrame with all required columns
             intermidiate_df = create_intermediate_file(match_tracking_df)