test

src/langchain_google_alloydb_pg/vectorstore.py

@@ -936,6 +936,7 @@ def _similarity_search_with_relevance_scores(
         docs_and_scores = self.similarity_search_with_score(
             query=query, image_uri=image_uri, k=k, **kwargs
         )
+        print([score for docs, score in docs_and_scores])
         return [(doc, relevance_score_fn(score)) for doc, score in docs_and_scores]
 
     def similarity_search_with_relevance_scores(
@@ -973,6 +974,8 @@ def similarity_search_with_relevance_scores(
                 "Relevance scores must be between"
                 f" 0 and 1, got {docs_and_similarities}"
             )
+        for doc, sim in docs_and_similarities:
+            print(sim)
 
         if score_threshold is not None:
             docs_and_similarities = [