[Lint]Add lint hooks for clang-format, shellcheck, forbidden imports, and boolean context manager checks (#7511)

### What this PR does / why we need it?
This PR introduces several upstream `vllm`-aligned lint hooks into
`vllm-ascend` and makes them part of the actual `pre-commit` flow.

Main changes in this PR:
- add `check-boolean-context-manager` to catch boolean expressions in
`with` statements
- add `check-forbidden-imports` to forbid direct `re` imports and
disallowed direct `triton` imports
- enable shell script linting through `tools/shellcheck.sh`
- add root `.clang-format` aligned with upstream `vllm`, enable
`clang-format` in `pre-commit`, temporarily **exclude all `csrc/**`**
from `clang-format` to avoid bringing a large native code reformat into
this PR

This PR focuses on landing the smaller and immediately useful lint
alignment first, without mixing in the larger requirements-management
migration.

### Does this PR introduce _any_ user-facing change?
No.

This PR only updates repository lint configuration, static checks, and
internal import/style enforcement. It does not change runtime behavior
or public interfaces.

### How was this patch tested?
Tested locally in the project virtual environment.

Commands used:
```bash
bash format.sh
```
Verified checks passed:
``` bash
ruff check...............................................................Passed
ruff format..............................................................Passed
codespell................................................................Passed
typos....................................................................Passed
clang-format.............................................................Passed
Lint GitHub Actions workflow files.......................................Passed
Lint shell scripts.......................................................Passed
Lint PNG exports from excalidraw.........................................Passed
Check for spaces in all filenames........................................Passed
Enforce __init__.py in Python packages...................................Passed
Check for forbidden imports..............................................Passed
Check for boolean ops in with-statements.................................Passed
Suggestion...............................................................Passed
- hook id: suggestion
- duration: 0s

To bypass pre-commit hooks, add --no-verify to git commit.
```
**note:**
clang-format is enabled but currently excludes all csrc/**


- vLLM version: v0.17.0
- vLLM main:
8b6325758c

---------

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

vllm_ascend/distributed/kv_transfer/kv_pool/ascend_store/backend/mooncake_backend.py

@@ -1,9 +1,9 @@
 # Standard
 import json
 import os
-import re
 from dataclasses import dataclass
 
+import regex as re
 import torch
 
 # Third Party

vllm_ascend/model_loader/netloader/interaction/elastic.py

@@ -15,11 +15,11 @@
 #
 
 import json
-import re
 import socket
 import threading
 from contextlib import suppress
 
+import regex as re
 import torch
 from vllm.logger import logger
 

vllm_ascend/model_loader/netloader/utils.py

@@ -15,9 +15,9 @@
 #
 
 import os
-import re
 import socket
 
+import regex as re
 from vllm.logger import logger
 
 

vllm_ascend/ops/linear_op.py

@@ -40,10 +40,10 @@ Row parallel op follows a similar approach - inherit from RowColumnParallelOp an
 get_row_parallel_op.
 """
 
-import re
 from functools import lru_cache
 from types import SimpleNamespace
 
+import regex as re
 import torch
 import torch.distributed as dist
 import torch.nn.functional as F

vllm_ascend/ops/triton/batch_invariant/matmul.py

@@ -18,7 +18,6 @@
 #
 
 import torch
-from triton.runtime import driver  # type: ignore
 from vllm.triton_utils import tl, triton
 
 
@@ -269,7 +268,9 @@ def linear_persistent(x, y):
     # Allocate output tensor (same data type as x)
     output = torch.zeros((M, N), dtype=x.dtype, device=x.device)
 
-    grid_size = driver.active.utils.get_device_properties(torch.npu.current_device())["num_vectorcore"] // 2
+    grid_size = (
+        triton.runtime.driver.active.utils.get_device_properties(torch.npu.current_device())["num_vectorcore"] // 2
+    )
 
     # Define block sizes (can be adjusted based on hardware)
     BLOCK_K = 256

vllm_ascend/ops/triton/batch_invariant/rmsnorm.py

@@ -18,7 +18,6 @@
 #
 
 import torch
-from triton.runtime import driver  # type: ignore
 from vllm.triton_utils import tl, triton
 
 
@@ -113,7 +112,9 @@ def rms_norm(
 
     output = torch.empty_like(input_2d, dtype=input_.dtype)
     BLOCK_SIZE = 1024
-    max_grid_size = driver.active.utils.get_device_properties(torch.npu.current_device())["num_vectorcore"]
+    max_grid_size = triton.runtime.driver.active.utils.get_device_properties(torch.npu.current_device())[
+        "num_vectorcore"
+    ]
 
     grid = (min(n_rows, max_grid_size),)
 

vllm_ascend/ops/triton/linearnorm/split_qkv_rmsnorm_mrope.py

@@ -17,8 +17,7 @@
 
 
 import torch
-import triton  # type: ignore
-import triton.language as tl  # type: ignore
+from vllm.triton_utils import tl, triton
 from vllm.utils.torch_utils import direct_register_custom_op
 
 from vllm_ascend.ops.triton.triton_utils import get_vectorcore_num

vllm_ascend/ops/triton/linearnorm/split_qkv_rmsnorm_rope.py

@@ -16,8 +16,7 @@
 #
 
 import torch
-import triton  # type: ignore
-import triton.language as tl  # type: ignore
+from vllm.triton_utils import tl, triton
 from vllm.utils.torch_utils import direct_register_custom_op
 
 from vllm_ascend.ops.triton.triton_utils import extract_slice, get_element, get_vectorcore_num, insert_slice

vllm_ascend/ops/triton/mamba/causal_conv1d.py

@@ -11,10 +11,9 @@ from typing import Any
 
 import torch
 import torch.nn.functional as F
-import triton
-import triton.language as tl
 from vllm.distributed import get_pcp_group
 from vllm.forward_context import get_forward_context
+from vllm.triton_utils import tl, triton
 from vllm.v1.attention.backends.utils import PAD_SLOT_ID  # type: ignore
 
 

vllm_ascend/quantization/modelslim_config.py

@@ -24,11 +24,11 @@ configs generated by the ModelSlim tool, along with model-specific mappings.
 import glob
 import json
 import os
-import re
 from collections.abc import Mapping
 from types import MappingProxyType
 from typing import Any, Optional
 
+import regex as re
 import torch
 from vllm.config import get_current_vllm_config
 from vllm.logger import logger

vllm_ascend/utils.py

@@ -23,13 +23,13 @@ import atexit
 import functools
 import math
 import os
-import re
 from contextlib import nullcontext
 from enum import Enum
 from functools import lru_cache
 from threading import Lock
 from typing import TYPE_CHECKING, Any
 
+import regex as re
 import torch
 import torch_npu  # noqa: F401
 from packaging.version import InvalidVersion, Version