如何让Spacy停止将连字符数字和单词拆分为单独的标记？

import spacy
from spacy.tokenizer import Tokenizer
from spacy.util import compile_prefix_regex, compile_suffix_regex

def custom_tokenizer(nlp):
    # 自定义的分词规则
    infixes = tuple([r"(?<=[0-9])[+\-\*/](?=[0-9-])"])  # 定义中缀规则，避免拆分连字符数字
    prefix_re = compile_prefix_regex(nlp.Defaults.prefixes + ("-",))
    suffix_re = compile_suffix_regex(nlp.Defaults.suffixes + ("-\.","-"))
    infix_re = spacy.util.compile_infix_regex(infixes)

    return Tokenizer(nlp.vocab, prefix_search=prefix_re.search,
                     suffix_search=suffix_re.search, infix_finditer=infix_re.finditer,
                     token_match=None)

# 加载Spacy的英文模型
nlp = spacy.load("en_core_web_sm")

# 替换分词器为自定义的分词器
nlp.tokenizer = custom_tokenizer(nlp)

# 处理文本
doc = nlp("这是一个例子，其中包含连字符-数字和单词，例如foo-bar和123-456。")

# 打印处理后的标记
for token in doc:
    print(token.text)