[Lint]Style: Convert vllm-ascend/ to ruff format(Batch #6) (#6001)

### What this PR does / why we need it?
| File Path |
| :--- |
| ` vllm_ascend/eplb/adaptor/abstract_adaptor.py` |
| ` vllm_ascend/eplb/adaptor/vllm_adaptor.py` |
| ` vllm_ascend/eplb/core/eplb_device_transfer_loader.py` |
| ` vllm_ascend/eplb/core/eplb_utils.py` |
| ` vllm_ascend/eplb/core/eplb_worker.py` |
| ` vllm_ascend/eplb/core/policy/policy_abstract.py` |
| ` vllm_ascend/eplb/core/policy/policy_default_eplb.py` |
| ` vllm_ascend/eplb/core/policy/policy_factory.py` |
| ` vllm_ascend/eplb/core/policy/policy_flashlb.py` |
| ` vllm_ascend/eplb/core/policy/policy_random.py` |
| ` vllm_ascend/eplb/core/policy/policy_swift_balancer.py` |
| ` vllm_ascend/eplb/eplb_updator.py` |
| ` vllm_ascend/eplb/utils.py` |
| ` vllm_ascend/model_loader/netloader/executor/elastic_load.py` |
| ` vllm_ascend/model_loader/netloader/executor/netloader_pg.py` |
| ` vllm_ascend/model_loader/netloader/interaction/elastic.py` |
| ` vllm_ascend/model_loader/netloader/load.py` |
| ` vllm_ascend/model_loader/netloader/netloader.py` |
| ` vllm_ascend/model_loader/netloader/utils.py` |
| ` vllm_ascend/patch/platform/__init__.py` |
| ` vllm_ascend/patch/platform/patch_balance_schedule.py` |
| ` vllm_ascend/patch/platform/patch_ec_connector.py` |
| ` vllm_ascend/patch/platform/patch_mamba_config.py` |
| ` vllm_ascend/patch/platform/patch_multiproc_executor.py` |
| ` vllm_ascend/patch/platform/patch_sched_yield.py` |


- vLLM version: v0.13.0
- vLLM main:
2c24bc6996

---------

Signed-off-by: MrZ20 <2609716663@qq.com>

vllm_ascend/eplb/adaptor/abstract_adaptor.py

@@ -19,8 +19,7 @@ from abc import abstractmethod
 from typing import Any
 
 
-class EplbAdaptor():
-
+class EplbAdaptor:
     def __init__(self, **args):
         pass
 
@@ -29,12 +28,9 @@ class EplbAdaptor():
         raise NotImplementedError
 
     @abstractmethod
-    def do_update_expert_map(self, layer_id: Any,
-                             updated_expert_map: Any) -> Any:
+    def do_update_expert_map(self, layer_id: Any, updated_expert_map: Any) -> Any:
         raise NotImplementedError
 
     @abstractmethod
-    def do_update_expert_weight(self, layer_id: Any,
-                                local_expert_to_replace: Any,
-                                buffer_tensor_id: Any) -> Any:
+    def do_update_expert_weight(self, layer_id: Any, local_expert_to_replace: Any, buffer_tensor_id: Any) -> Any:
         raise NotImplementedError