Convert examples to ruff-format (#18400)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

examples/offline_inference/basic/chat.py

@@ -56,22 +56,12 @@ def main(args: dict):
 
     # In this script, we demonstrate how to pass input to the chat method:
     conversation = [
-        {
-            "role": "system",
-            "content": "You are a helpful assistant"
-        },
+        {"role": "system", "content": "You are a helpful assistant"},
+        {"role": "user", "content": "Hello"},
+        {"role": "assistant", "content": "Hello! How can I assist you today?"},
         {
             "role": "user",
-            "content": "Hello"
-        },
-        {
-            "role": "assistant",
-            "content": "Hello! How can I assist you today?"
-        },
-        {
-            "role": "user",
-            "content":
-            "Write an essay about the importance of higher education.",
+            "content": "Write an essay about the importance of higher education.",
         },
     ]
     outputs = llm.chat(conversation, sampling_params, use_tqdm=False)

examples/offline_inference/basic/classify.py

@@ -10,9 +10,9 @@ def parse_args():
     parser = FlexibleArgumentParser()
     parser = EngineArgs.add_cli_args(parser)
     # Set example specific arguments
-    parser.set_defaults(model="jason9693/Qwen2.5-1.5B-apeach",
-                        task="classify",
-                        enforce_eager=True)
+    parser.set_defaults(
+        model="jason9693/Qwen2.5-1.5B-apeach", task="classify", enforce_eager=True
+    )
     return parser.parse_args()
 
 
@@ -36,10 +36,11 @@ def main(args: Namespace):
     print("\nGenerated Outputs:\n" + "-" * 60)
     for prompt, output in zip(prompts, outputs):
         probs = output.outputs.probs
-        probs_trimmed = ((str(probs[:16])[:-1] +
-                          ", ...]") if len(probs) > 16 else probs)
-        print(f"Prompt: {prompt!r} \n"
-              f"Class Probabilities: {probs_trimmed} (size={len(probs)})")
+        probs_trimmed = (str(probs[:16])[:-1] + ", ...]") if len(probs) > 16 else probs
+        print(
+            f"Prompt: {prompt!r} \n"
+            f"Class Probabilities: {probs_trimmed} (size={len(probs)})"
+        )
         print("-" * 60)
 
 

examples/offline_inference/basic/embed.py

@@ -10,9 +10,9 @@ def parse_args():
     parser = FlexibleArgumentParser()
     parser = EngineArgs.add_cli_args(parser)
     # Set example specific arguments
-    parser.set_defaults(model="intfloat/e5-mistral-7b-instruct",
-                        task="embed",
-                        enforce_eager=True)
+    parser.set_defaults(
+        model="intfloat/e5-mistral-7b-instruct", task="embed", enforce_eager=True
+    )
     return parser.parse_args()
 
 
@@ -36,10 +36,10 @@ def main(args: Namespace):
     print("\nGenerated Outputs:\n" + "-" * 60)
     for prompt, output in zip(prompts, outputs):
         embeds = output.outputs.embedding
-        embeds_trimmed = ((str(embeds[:16])[:-1] +
-                           ", ...]") if len(embeds) > 16 else embeds)
-        print(f"Prompt: {prompt!r} \n"
-              f"Embeddings: {embeds_trimmed} (size={len(embeds)})")
+        embeds_trimmed = (
+            (str(embeds[:16])[:-1] + ", ...]") if len(embeds) > 16 else embeds
+        )
+        print(f"Prompt: {prompt!r} \nEmbeddings: {embeds_trimmed} (size={len(embeds)})")
         print("-" * 60)
 
 

examples/offline_inference/basic/score.py

@@ -10,9 +10,9 @@ def parse_args():
     parser = FlexibleArgumentParser()
     parser = EngineArgs.add_cli_args(parser)
     # Set example specific arguments
-    parser.set_defaults(model="BAAI/bge-reranker-v2-m3",
-                        task="score",
-                        enforce_eager=True)
+    parser.set_defaults(
+        model="BAAI/bge-reranker-v2-m3", task="score", enforce_eager=True
+    )
     return parser.parse_args()