lint

semantic_router/encoders/tfidf.py

-import numpy as np
-from collections import Counter
-from semantic_router.encoders import BaseEncoder
-from semantic_router.route import Route
-from numpy.linalg import norm
 import string
+from collections import Counter
 from typing import Dict
+
+import numpy as np
 from numpy import ndarray
+from numpy.linalg import norm
+
+from semantic_router.encoders import BaseEncoder
+from semantic_router.route import Route
 
 
 class TfidfEncoder(BaseEncoder):

semantic_router/hybrid_layer.py

@@ -27,13 +27,13 @@ class HybridRouteLayer:
     ):
         self.encoder = encoder
         self.score_threshold = self.encoder.score_threshold
-        
+
         if sparse_encoder is None:
             logger.warning("No sparse_encoder provided. Using default BM25Encoder.")
             self.sparse_encoder = BM25Encoder()
         else:
             self.sparse_encoder = sparse_encoder
-            
+
         self.alpha = alpha
         self.routes = routes
         if isinstance(self.sparse_encoder, TfidfEncoder) and hasattr(

tests/unit/encoders/test_tfidf.py

+import numpy as np
 import pytest
+
 from semantic_router.encoders import TfidfEncoder
 from semantic_router.route import Route
-import numpy as np
 
 
 @pytest.fixture