Fix linting

integrations/azure_ai_search/example/embedding_retrieval.py

@@ -7,8 +7,9 @@
 from haystack_integrations.document_stores.azure_ai_search import AzureAISearchDocumentStore
 
 """
-This example demonstrates how to use the AzureAISearchEmbeddingRetriever to retrieve documents using embeddings based on a query.
-To run this example, you'll need an Azure Search service endpoint and API key, which can either be
+This example demonstrates how to use the AzureAISearchEmbeddingRetriever to retrieve documents
+using embeddings based on a query. To run this example, you'll need an Azure Search service endpoint
+and API key, which can either be
 set as environment variables (AZURE_SEARCH_SERVICE_ENDPOINT and AZURE_SEARCH_API_KEY) or
 provided directly to AzureAISearchDocumentStore(as params "api_key", "azure_endpoint").
 Otherwise you can use DefaultAzureCredential to authenticate with Azure services.

integrations/azure_ai_search/tests/conftest.py

@@ -26,7 +26,6 @@ def document_store(request):
     an instance of this document store so the base class can use it.
     """
     index_name = f"haystack_test_{uuid.uuid4().hex}"
-    print (index_name)
     metadata_fields = getattr(request, "param", {}).get("metadata_fields", None)
 
     azure_endpoint = os.environ["AZURE_SEARCH_SERVICE_ENDPOINT"]