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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 12, 02:15 UTC

[CI] Fix re import error (#29973)

Signed-off-by: yewentao256 <zhyanwentao@126.com>

Wentao Ye committed Dec 3, 2025 at 15:16 UTC ac1886588fd8799ff874b860b6c266a84d5a2b2b
3 files changed +5 -4
.buildkite/scripts/generate-nightly-index.py
+2 -1
@@ -7,13 +7,14 @@
7
8 import argparse
9 import json
10 -import re
10 import sys
11 from dataclasses import asdict, dataclass
12 from pathlib import Path
13 from typing import Any
14 from urllib.parse import quote
15
16 +import regex as re
17 +
18 if not sys.version_info >= (3, 12):
19 raise RuntimeError("This script requires Python 3.12 or higher.")
20
vllm/entrypoints/serve/instrumentator/metrics.py
+1 -2
@@ -2,9 +2,8 @@
2 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
3
4
5 -import re
6 -
5 import prometheus_client
6 +import regex as re
7 from fastapi import FastAPI, Response
8 from prometheus_client import make_asgi_app
9 from prometheus_fastapi_instrumentator import Instrumentator
vllm/tokenizers/deepseek_v32_encoding.py
+2 -1
@@ -5,9 +5,10 @@
5 # copy from https://huggingface.co/deepseek-ai/DeepSeek-V3.2/blob/main/encoding/encoding_dsv32.py
6 import copy
7 import json
8 -import re
8 from typing import Any
9
10 +import regex as re
11 +
12 # flake8: noqa: E501
13 TOOLS_SYSTEM_TEMPLATE = """## Tools
14 You have access to a set of tools you can use to answer the user's question.