[Lint]Style: Convert vllm-ascend/ to ruff format(Batch #10) (#6173)

### What this PR does / why we need it?
**Scope of Changes**:
| File Path |
| :--- |
|`vllm_ascend/ops/layer_shard_linear.py`|
|`vllm_ascend/ops/linear.py`|
|`vllm_ascend/ops/linear_op.py`|
|`vllm_ascend/worker/worker.py`|
| ` vllm_ascend/patch/worker/patch_bert.py` |
| ` vllm_ascend/patch/worker/patch_deepseek.py` |
| ` vllm_ascend/patch/worker/patch_distributed.py` |
| ` vllm_ascend/patch/worker/patch_module.py` |
| ` vllm_ascend/patch/worker/patch_multimodal_merge.py` |
| ` vllm_ascend/patch/worker/patch_qwen3_next.py` |
| ` vllm_ascend/patch/worker/patch_qwen3_next_mtp.py` |
| ` vllm_ascend/patch/worker/patch_rejection_sampler.py` |
| ` vllm_ascend/patch/worker/patch_rope.py` |
| ` vllm_ascend/patch/worker/patch_triton.py` |
| ` vllm_ascend/patch/worker/patch_unquantized_gemm.py` |
| ` vllm_ascend/patch/worker/patch_v2_egale.py` |
|` vllm_ascend/worker/npu_input_batch.py`|
|` vllm_ascend/worker/v2/aclgraph_utils.py`|
|` vllm_ascend/worker/v2/attn_utils.py`|
|` vllm_ascend/worker/v2/model_runner.py`|
|` vllm_ascend/worker/v2/sample/gumbel.py`|
|` vllm_ascend/worker/v2/sample/penalties.py`|
|` vllm_ascend/worker/v2/sample/sampler.py`|
|` vllm_ascend/worker/v2/spec_decode/__init__.py`|
|` vllm_ascend/worker/v2/spec_decode/eagle.py`|
|` vllm_ascend/worker/v2/states.py`|
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.14.0
- vLLM main:
d68209402d

Signed-off-by: MrZ20 <2609716663@qq.com>
Signed-off-by: SILONG ZENG <2609716663@qq.com>
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com>

vllm_ascend/worker/v2/states.py

@@ -63,8 +63,8 @@ class AscendRequestState(RequestState):
         # NOTE(Ronald1995): Ascend NPUs do not support UVA yet,
         # so we use CpuGpuBuffer to allocate prefill_token_ids buffer.
         self.prefill_token_ids: CpuGpuBuffer = self._make_buffer(  # type: ignore
-            (self.max_num_reqs, self.max_model_len),
-            dtype=torch.int32)
+            (self.max_num_reqs, self.max_model_len), dtype=torch.int32
+        )
 
     def add_request(
         self,
@@ -75,7 +75,6 @@ class AscendRequestState(RequestState):
         sampling_params,
         lora_request,
     ):
-
         super().add_request(
             req_id,
             prompt_len,
@@ -93,7 +92,6 @@ def uva_wrapper():
     """Context manager to disable UVA for Ascend NPUs."""
 
     class UvaBufferWrapper:
-
         def __init__(self, *args, **kwargs):
             pass