[CI/Build] Strengthen pre-commit with markdownlint, SPDX, and policy hooks (#6273)

Signed-off-by: wangyu <410167048@qq.com>
Signed-off-by: [Your Name] <your.email@example.com>
Signed-off-by: wangyu <53896905+yenuo26@users.noreply.github.com>

vllm_omni/model_executor/models/indextts2/gpt/conformer_encoder.py

@@ -1,5 +1,5 @@
 # SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
 
 import torch
 import torch.nn as nn
@@ -175,7 +175,7 @@ class ConformerEncoderLayer(nn.Module):
              instance.
             `PositionwiseFeedForward` instance can be used as the argument.
         conv_module (torch.nn.Module): Convolution module instance.
-            `ConvlutionModule` instance can be used as the argument.
+            `ConvolutionModule` instance can be used as the argument.
         dropout_rate (float): Dropout rate.
         normalize_before (bool):
             True: use layer_norm before each sub-block.

vllm_omni/model_executor/models/minimax_music3/prompt.py

@@ -1,5 +1,5 @@
 # SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
 #
 # Prompt normalization follows the MiniMaxAI/MiniMax-Music3 input contract.
 # The transformations are reproduced byte-for-byte because any divergence
@@ -19,9 +19,10 @@ Both rows therefore have identical length and identical audio-start position.
 
 from __future__ import annotations
 
-import re
 from typing import Any
 
+import regex as re
+
 # Pinned by ``validate_tokenizer_ids``: a checkpoint whose tokenizer disagrees
 # is not this model, and silently producing noise is worse than failing.
 SPECIAL_TOKEN_IDS: dict[str, int] = {