Convert formatting to use ruff instead of yapf + isort (#26247)

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

tests/entrypoints/pooling/openai/test_embedding_dimensions.py

@@ -10,17 +10,18 @@ import openai
 import pytest
 
 from tests.conftest import HfRunner
-from tests.models.language.pooling.embed_utils import (
-    run_embedding_correctness_test)
+from tests.models.language.pooling.embed_utils import run_embedding_correctness_test
 from tests.models.utils import EmbedModelInfo
 from tests.utils import RemoteOpenAIServer
 from vllm.entrypoints.openai.protocol import EmbeddingResponse
 
 MODELS = [
     EmbedModelInfo("intfloat/multilingual-e5-small", is_matryoshka=False),
-    EmbedModelInfo("Snowflake/snowflake-arctic-embed-m-v1.5",
-                   is_matryoshka=True,
-                   matryoshka_dimensions=[256]),
+    EmbedModelInfo(
+        "Snowflake/snowflake-arctic-embed-m-v1.5",
+        is_matryoshka=True,
+        matryoshka_dimensions=[256],
+    ),
 ]
 
 input_texts = [
@@ -48,15 +49,14 @@ def server(model_info, dtype: str):
         dtype,
         "--enforce-eager",
         "--max-model-len",
-        "512"
+        "512",
     ]
 
     if model_info.name == "Snowflake/snowflake-arctic-embed-m-v1.5":
         # Manually enable Matryoshka Embeddings
-        args.extend([
-            "--trust_remote_code", "--hf_overrides",
-            '{"matryoshka_dimensions":[256]}'
-        ])
+        args.extend(
+            ["--trust_remote_code", "--hf_overrides", '{"matryoshka_dimensions":[256]}']
+        )
 
     with RemoteOpenAIServer(model_info.name, args) as remote_server:
         yield remote_server
@@ -64,14 +64,16 @@ def server(model_info, dtype: str):
 
 @pytest.fixture(scope="module")
 def hf_model(hf_runner, model_info, dtype: str):
-    with hf_runner(model_info.name, dtype=dtype,
-                   is_sentence_transformer=True) as hf_model:
+    with hf_runner(
+        model_info.name, dtype=dtype, is_sentence_transformer=True
+    ) as hf_model:
         yield hf_model
 
 
 @pytest.mark.asyncio
-async def test_matryoshka(model_info: EmbedModelInfo,
-                          server: RemoteOpenAIServer, hf_model: HfRunner):
+async def test_matryoshka(
+    model_info: EmbedModelInfo, server: RemoteOpenAIServer, hf_model: HfRunner
+):
     client = server.get_async_client()
 
     async def make_request_and_correctness_test(dimensions):
@@ -84,7 +86,8 @@ async def test_matryoshka(model_info: EmbedModelInfo,
             encoding_format="float",
         )
         embeddings = EmbeddingResponse.model_validate(
-            embedding_response.model_dump(mode="json"))
+            embedding_response.model_dump(mode="json")
+        )
 
         assert embeddings.id is not None
         assert len(embeddings.data) == 3
@@ -97,8 +100,7 @@ async def test_matryoshka(model_info: EmbedModelInfo,
             assert len(embeddings.data[0].embedding) == dimensions
 
         vllm_outputs = [d.embedding for d in embeddings.data]
-        run_embedding_correctness_test(hf_model, prompts, vllm_outputs,
-                                       dimensions)
+        run_embedding_correctness_test(hf_model, prompts, vllm_outputs, dimensions)
 
     if model_info.is_matryoshka:
         valid_dimensions: list[Optional[int]] = [None]