[Lint]Style: Convert root, benchmarks, tools and docs to ruff format (#5843)

### What this PR does / why we need it?
Description
This PR fixes linting issues in the root directory, benchmarks/, tools/
and docs/ to align with the project's Ruff configuration.

This is part of a gradual effort to enable full linting coverage across
the repository. The corresponding paths have been removed from the
exclude list in pyproject.toml.

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

---------

Signed-off-by: root <root@LAPTOP-VQKDDVMG.localdomain>
Co-authored-by: root <root@LAPTOP-VQKDDVMG.localdomain>

benchmarks/ops/ben_vocabparallelembedding.py

@@ -1,5 +1,3 @@
-from typing import Tuple
-
 import numpy as np
 import pytest
 import torch
@@ -47,20 +45,12 @@ def get_masked_input_and_mask_ref(
     num_org_vocab_padding: int,
     added_vocab_start_index: int,
     added_vocab_end_index: int,
-) -> Tuple[torch.Tensor, torch.Tensor]:
+) -> tuple[torch.Tensor, torch.Tensor]:
     """Reference implementation for verification"""
     org_vocab_mask = (input_ >= org_vocab_start_index) & (input_ < org_vocab_end_index)
-    added_vocab_mask = (input_ >= added_vocab_start_index) & (
-        input_ < added_vocab_end_index
-    )
-    added_offset = (
-        added_vocab_start_index
-        - (org_vocab_end_index - org_vocab_start_index)
-        - num_org_vocab_padding
-    )
-    valid_offset = (org_vocab_start_index * org_vocab_mask) + (
-        added_offset * added_vocab_mask
-    )
+    added_vocab_mask = (input_ >= added_vocab_start_index) & (input_ < added_vocab_end_index)
+    added_offset = added_vocab_start_index - (org_vocab_end_index - org_vocab_start_index) - num_org_vocab_padding
+    valid_offset = (org_vocab_start_index * org_vocab_mask) + (added_offset * added_vocab_mask)
     vocab_mask = org_vocab_mask | added_vocab_mask
     masked_input = vocab_mask * (input_ - valid_offset)
     return masked_input, ~vocab_mask
@@ -78,7 +68,7 @@ SEEDS = [0]
 @pytest.mark.parametrize("seed", SEEDS)
 @torch.inference_mode()
 def test_get_masked_input_and_mask(
-    shape: Tuple[int, ...],
+    shape: tuple[int, ...],
     dtype: torch.dtype,
     device: str,
     seed: int,