cooldfa

Name	cooldfa JSON
Version	1.1.1 JSON
	download
home_page	None
Summary	基于 DFA 算法的敏感词检测器
upload_time	2023-11-27 09:43:53
maintainer	None
docs_url	None
author	None
requires_python	None
license	None
keywords	cooldfa dfa
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # 项目描述

基于 DFA 算法的敏感词检测器。

# 作者信息

昵称：lcctoor.com

[主页](https://lcctoor.github.io/arts/) \| [微信](https://lcctoor.github.io/arts/arts/static/static-files/WeChatQRC.jpg) \| [Github](https://github.com/lcctoor) \| [PyPi](https://pypi.org/user/lcctoor) \| [Python交流群](https://lcctoor.github.io/arts/arts/static/static-files/PythonWeChatGroupQRC.jpg) \| [邮箱](mailto:lcctoor@outlook.com) \| [域名](http://lcctoor.com) \| [捐赠](https://lcctoor.github.io/arts/arts/static/static-files/DonationQRC-0rmb.jpg)

# Bug提交、功能提议

您可以通过 [Github-Issues](https://github.com/lcctoor/arts/issues)、[微信](https://lcctoor.github.io/arts/arts/static/static-files/WeChatQRC.jpg) 与我联系。

# 安装

```
pip install cooldfa
```

# 教程 ([查看美化版](https://lcctoor.github.io/arts/?pk=cooldfa)👈)

### 导入

```python
from cooldfa import DFA
```

### 创建dfa模型

```python
敏感词S = ['123', '234', '56', 'end']
example = DFA(*敏感词S)
```

### 检测是否含有敏感词

```python
example.has_any('1--2--3--4--5--6--7--8--9--end--')
# >>> True
```

### 查找第1个敏感词

```python
example.find_one('1--2--3--4--5--6--7--8--9--end--')
# >>> '1--2--3'
```

### 查找所有敏感词

```python
example.find_all('1--2--3--4--5--6--7--8--9--end--')
# >>> ['1--2--3', '5--6', 'end']
```

### 替换所有敏感词

```python
example.sub('1--2--3--4--5--6--7--8--9--end--', '*')
# >>> '*******--4--****--7--8--9--***--'

example.sub('1--2--3--4--5--6--7--8--9--end--', '*', compress=True)
# >>> '*--4--*--7--8--9--*--'
```

### 使用内置的敏感词库

```python
from cooldfa import DFA, preset_words

example = DFA(
    *preset_words.politics,  # 政治类
    *preset_words.sex,  # 色情类
    *preset_words.violence,  # 暴力类
    *preset_words.url,  # 网址
    *preset_words.others,  # 其它
    *['123', '234', '56', 'end']
)
```

            

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