fix(vertex-ai): fix ci linter failures

Author: Valeriy-Burlaka

generative_ai/model_tuning/supervised_advanced_example.py

@@ -20,7 +20,6 @@
 
 
 def gemini_tuning_advanced() -> sft.SupervisedTuningJob:
-    # test: trigger Ci
     # [START generativeaionvertexai_tuning_advanced]
 
     import time
@@ -32,14 +31,13 @@ def gemini_tuning_advanced() -> sft.SupervisedTuningJob:
     # PROJECT_ID = "your-project-id"
     vertexai.init(project=PROJECT_ID, location="us-central1")
 
-    # Initialize Vertex AI with your service account for BYOSA (Bring Your Own Service Account).  
-    # Uncomment the following and replace "your-service-account" 
-    # vertexai.init(service_account="your-service-account")  
+    # Initialize Vertex AI with your service account for BYOSA (Bring Your Own Service Account).
+    # Uncomment the following and replace "your-service-account"
+    # vertexai.init(service_account="your-service-account")
 
-
-    # Initialize Vertex AI with your CMEK (Customer-Managed Encryption Key).  
-    # Un-comment the following line and replace "your-kms-key" 
-    # vertexai.init(encryption_spec_key_name="your-kms-key") 
+    # Initialize Vertex AI with your CMEK (Customer-Managed Encryption Key).
+    # Un-comment the following line and replace "your-kms-key"
+    # vertexai.init(encryption_spec_key_name="your-kms-key")
 
     sft_tuning_job = sft.train(
         source_model="gemini-1.5-pro-002",