[Fix] import regex instead of re

[tdoublep]

The pre-commits checks are currently failing on main because xlam_tool_parser.py is using import re. This is a quick and tiny fix.

[github-actions]

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[gemini-code-assist]

Summary of Changes

Hello @tdoublep, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request resolves a pre-commit linting issue that was causing failures on the main branch. The change involves a minor adjustment to an import statement, ensuring that the codebase adheres to established coding standards and passes automated checks.

Highlights

• Linting Fix: Addressed a pre-commit linting failure by updating the regular expression module import in xlam_tool_parser.py.
• Dependency Update: Switched the import from Python's built-in re module to the regex library, aliasing it as re, to comply with project linting standards.

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[gemini-code-assist]

Code Review

This PR replaces the re module with the regex module in xlam_tool_parser.py to address a linting issue. The change aligns with the project's pre-commit checks and is consistent with the use of regex in other parts of the codebase, such as protocol.py. The regex library is aliased to re for seamless integration. This change improves maintainability by adhering to project linting standards. No issues of medium or higher severity were found.

[tlrmchlsmth]

🙏

[tdoublep]

The v1-test seems to be hanging until timeout, despite being re-tried multiple times.

[2025-06-20T05:22:36Z] WARNING 06-19 22:22:36 [utils.py:2756] Methods determine_num_available_blocks,device_config,get_cache_block_size_bytes not implemented in <vllm.v1.worker.gpu_worker.Worker object at 0x7fbd63e82870>
--
  | [2025-06-20T05:22:36Z] DEBUG 06-19 22:22:36 [config.py:4731] enabled custom ops: Counter()
  | [2025-06-20T05:22:36Z] DEBUG 06-19 22:22:36 [config.py:4733] disabled custom ops: Counter()
  | [2025-06-20T05:22:37Z] DEBUG 06-19 22:22:37 [parallel_state.py:918] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://172.16.0.2:40627 backend=nccl
  | [2025-06-20T05:22:37Z] INFO 06-19 22:22:37 [parallel_state.py:1072] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0
  | [2025-06-20T05:22:37Z] INFO 06-19 22:22:37 [topk_topp_sampler.py:49] Using FlashInfer for top-p & top-k sampling.
  | [2025-06-20T05:22:46Z] DEBUG 06-19 22:22:46 [utils.py:485] Waiting for 1 local, 0 remote core engine proc(s) to start.
  | [2025-06-20T05:22:56Z] DEBUG 06-19 22:22:56 [utils.py:485] Waiting for 1 local, 0 remote core engine proc(s) to start.
  | [2025-06-20T05:23:06Z] DEBUG 06-19 22:23:06 [utils.py:485] Waiting for 1 local, 0 remote core engine proc(s) to start.
  | [2025-06-20T05:23:16Z] DEBUG 06-19 22:23:16 [utils.py:485] Waiting for 1 local, 0 remote core engine proc(s) to start.
  | [2025-06-20T05:23:26Z] DEBUG 06-19 22:23:26 [utils.py:485] Waiting for 1 local, 0 remote core engine proc(s) to start.
  | [2025-06-20T05:23:36Z] DEBUG 06-19 22:23:36 [utils.py:485] Waiting for 1 local, 0 remote core engine proc(s) to start.
  | [2025-06-20T05:23:46Z] DEBUG 06-19 22:23:46 [utils.py:485] Waiting for 1 local, 0 remote core engine proc(s) to start.

Is this a known issue?

[tdoublep]

nvm, presumably it is solved by this: #19872

have rebased