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

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

tests/models/multimodal/test_mapping.py

@@ -19,7 +19,7 @@ def create_repo_dummy_weights(repo: str) -> Iterable[tuple[str, torch.Tensor]]:
     """Create weights from safetensors checkpoint metadata"""
     metadata = try_get_safetensors_metadata(repo)
     weight_names = list(metadata.weight_map.keys())
-    with torch.device('meta'):
+    with torch.device("meta"):
         return ((name, torch.empty(0)) for name in weight_names)
 
 
@@ -61,7 +61,8 @@ def test_hf_model_weights_mapper(model_arch: str):
         hf_overrides=model_info.hf_overrides,
         skip_tokenizer_init=model_info.skip_tokenizer_init,
         enforce_eager=model_info.enforce_eager,
-        dtype=model_info.dtype)
+        dtype=model_info.dtype,
+    )
     model_cls = MULTIMODAL_REGISTRY._get_model_cls(model_config)
 
     original_weights = create_repo_dummy_weights(model_id)
@@ -83,6 +84,7 @@ def test_hf_model_weights_mapper(model_arch: str):
 
     weights_missing = ref_weight_names - weight_names
     weights_unmapped = weight_names - ref_weight_names
-    assert (not weights_missing and not weights_unmapped), (
+    assert not weights_missing and not weights_unmapped, (
         f"Following weights are not mapped correctly: {weights_unmapped}, "
-        f"Missing expected weights: {weights_missing}.")
+        f"Missing expected weights: {weights_missing}."
+    )