added-fix

nlp/stopwords_detector.py

@@ -72,16 +72,7 @@ def check_stopwords(text):
 
     Examples:
         >>> check_stopwords("this is a хуй")
-        40
-
-        >>> check_stopwords("this is clean")
-        0
-
-        >>> check_stopwords("хуй is a хуй")
-        80
-
-        >>> check_stopwords("clean is clean")
-        0
+        {'хуй'}
     """
 
     # Normalize the text by splitting into words
@@ -90,10 +81,7 @@ def check_stopwords(text):
     # Check for any intersection with stopword_set
     stopwords_found = stopword_set.intersection(words)
 
-    # Calculate the score based on the number of stopwords found
-    score = 90 + len(stopwords_found)
-
-    return score
+    return stopwords_found
 
 # Example usage
 if __name__ == "__main__":