diff --git a/pyproject.toml b/pyproject.toml
index 6d14d59..e638cbf 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,12 @@
 [project]
 name = "projet-millesima-s6"
 version = "0.1.0"
-dependencies = ["requests==2.32.5", "beautifulsoup4==4.14.3", "pandas==2.3.3", "tqdm==4.67.3"]
+dependencies = [
+    "requests==2.32.5",
+    "beautifulsoup4==4.14.3",
+    "pandas==2.3.3",
+    "tqdm==4.67.3",
+]
 
 [project.optional-dependencies]
 test = ["pytest==8.4.2", "requests-mock==1.12.1", "flake8==7.3.0"]
diff --git a/src/cleaning.py b/src/cleaning.py
index fcaabdb..1f3f788 100644
--- a/src/cleaning.py
+++ b/src/cleaning.py
@@ -1,6 +1,5 @@
 #!/usr/bin/env python3
-from pandas import DataFrame, to_numeric
-import pandas as pd
+from pandas import DataFrame, to_numeric, get_dummies
 
 SCORE_COLS = ["Robert", "Robinson", "Suckling"]
 
@@ -37,7 +36,7 @@ def mean_score(df: DataFrame, col: str) -> DataFrame:
     Calcule la moyenne d'une colonne de score par appellation.
         - Convertit les valeurs en numériques, en remplaçant les non-convertibles par NaN
         - Calcule la moyenne par appellation
-        - Remplace les NaN résultants par 0 
+        - Remplace les NaN résultants par 0
 
     """
     tmp = df[["Appellation", col]].copy()
@@ -46,12 +45,10 @@ def mean_score(df: DataFrame, col: str) -> DataFrame:
 
     # moyenne par appellation
     means = tmp.groupby("Appellation", as_index=False)[col].mean()
-    
+
     means[col] = means[col].fillna(0)
-    
+
     means = means.rename(columns={col: f"mean_{col}"})
-    
-    return means
 
 
 def mean_robert(df: DataFrame) -> DataFrame:
@@ -96,10 +93,10 @@ def encode_appellation(df: DataFrame, column: str = "Appellation") -> DataFrame:
     Remplace la colonne 'Appellation' par des colonnes indicatrices
     """
     df_copy = df.copy()
-    
+
     appellations = df_copy[column].astype(str).str.strip()
 
-    appellation_dummies = pd.get_dummies(appellations)
+    appellation_dummies = get_dummies(appellations)
 
     df_copy = df_copy.drop(columns=[column])
 
diff --git a/src/main.py b/src/main.py
index 65cbd62..512fe20 100755
--- a/src/main.py
+++ b/src/main.py
@@ -5,13 +5,7 @@ from os.path import normpath, join
 from sys import argv
 from pandas import read_csv, DataFrame
 
-from cleaning import (display_info,
-                      drop_empty_appellation,
-                      mean_robert,
-                      mean_robinson,
-                      mean_suckling,
-                      fill_missing_scores,
-                      encode_appellation)
+from cleaning import *
 
 
 def load_csv(filename: str) -> DataFrame:
diff --git a/tests/test_cleaning.py b/tests/test_cleaning.py
old mode 100644
new mode 100755
diff --git a/tests/test_scraper.py b/tests/test_scraper.py
old mode 100644
new mode 100755