在Python中,可以使用正则表达式库re来实现将字符串tokenize并保留分隔符。以下是一个示例代码: 代码语言:python 代码运行次数:0 复制Cloud Studio 代码运行 import re def tokenize_string(string): # 使用正则表达式匹配字母和数字,并保留分隔符 tokens = re.findall(r'\w+|[^\w\s]', string) return tokens...
$ python -m tokenize hello.py 0,0-0,0: ENCODING'utf-8'1,0-1,3: NAME'def'1,4-1,13: NAME'say_hello'1,13-1,14: OP'('1,14-1,15: OP')'1,15-1,16: OP':'1,16-1,17: NEWLINE'\n'2,0-2,4: INDENT' '2,4-2,9: NAME'print'2,9-2,10: OP'('2,10-2,25: STRIN...
from tokenize import tokenize, untokenize, NUMBER, STRING, NAME, OP from io import BytesIO def decistmt(s): """Substitute Decimals for floats in a string of statements. >>> from decimal import Decimal >>> s = 'print(+21.3e-5*-.1234/81.7)' >>> decistmt(s) "print (+Decimal ('...
pythonstringsplittokenize for*_*ran lucky-day 17 推荐指数 2 解决办法 2万 查看次数 用于全文的Tokenizer 这应该是不重新发明轮子的理想情况,但到目前为止,我的搜索一直是徒劳的. 我不想自己写一个,而是想使用现有的C++标记器.令牌将用于全文搜索的索引中.性能非常重要,我将解析许多千兆字节的文本. ...
TypeError: expected string or bytes-like object 这是完整的错误(去除了 df 和列名,以及 pii),我是 Python 的新手,并且仍在尝试找出错误消息的哪些部分是相关的: TypeError Traceback (most recent call last) <ipython-input-51-22429aec3622> in <module>() ---> 1 df['token_column'] = df.problem...
/user/bin/env python #-*- coding:utf-8 -*- import re import operator import nltk string = "Thanks to a hands-on guide introducing programming fundamentals alongside topics in computational linguistics. plus comprehensive API documentation. NLTK is suitable for linguists ."...
Thedetect_encoding()function is used to detect the encoding that should be used to decode a Python source file. It requires one argument, readline, in the same way as thetokenize()generator. It will call readline a maximum of twice, and return the encoding used (as a string) and a list...
所以我们的检查代码可以这样写: import io import tokenize def check_unsafe_attributes(string):...g = tokenize.tokenize(io.BytesIO(string.encode('utf-8')).readline) pre_op = '' for toktype..., tokval, _, _, _ in g: if toktype == tokenize.NAME and pre_op == '.' and tokval....
File "C:\Python34\lib\site-packages\nltk\tokenize\punkt.py", line 1322, in _slices_from_text for match in self._lang_vars.period_context_re().finditer(text): TypeError: expected string or buffer Run Code Online (Sandbox Code Playgroud) 我有一个大文本文件(1500.txt),我想从中删除停用词...
The detect_encoding() function is used to detect the encoding that should be used to decode a Python source file. It requires one argument, readline, in the same way as the tokenize() generator. It will call readline a maximum of twice, and return the encoding used (as a string) and ...