semvec/pypi-packages huggingface dataset:
python-readenv 0.7.1
read an env file and export to os.environ
Requires Python: >=3.8
Keywords: env, envvar, environ, environment, environment variable

# python-readenv

`readenv` makes it easy to automatically load environment variables from `.env` file(s) and put into `os.environ`.

## Install

```shell
$ pip install python-readenv
```

## Getting started

You can automatically load at startup time with the helper import `import readenv.loads`,
which try to locate and load the first env file found from your current working directory up to
root.
By default it will search for `.env` and `.env.local` files.

#### Automatic load

You can automatically load at startup time with the helper import 

```python
import readenv.loads

...
```

which try to locate and load the first env file found from your current working directory up to
root.

#### Manual load

Alternatively, you can customize which files `readenv` should search and load

```python
import readenv

readenv.load("myenv", "myenv.local")
```

#### mypy integration

If you need to load the environment from mypy you could add

```ini
[mypy]
plugins = readenv.mypy
```

in your `mypy.ini` or `setup.cfg` [file](https://mypy.readthedocs.io/en/latest/config_file.html).

[pyproject.toml](https://mypy.readthedocs.io/en/stable/config_file.html#using-a-pyproject-toml-file) configuration is also supported:

```toml
[tool.mypy]
plugins = ["readenv.mypy"]
```

## Custom environment

You can create your own environment

```python
import readenv

env = readenv.Environ()
```

or start with the current environ copy

```python
import copy
import os
import readenv

env = Environ(copy.deepcopy(os.environ))
```

## Examples

### Django integration

Put the helper import as first place

#### `manage.py`

```python
#!/usr/bin/env python3

import readenv.loads  # noqa: F401 isort:skip

import sys


if __name__ == "__main__":
    readenv.setdefault("DJANGO_SETTINGS_MODULE", "myproject.settings")
    from django.core.management import execute_from_command_line

    execute_from_command_line(sys.argv)
```

#### `wsgi.py`

```python
import readenv.loads  # noqa: F401 isort:skip
from django.core.wsgi import get_wsgi_application


readenv.setdefault("DJANGO_SETTINGS_MODULE", "myproject.settings")
application = get_wsgi_application()
```

#### `asgi.py`

```python
import readenv.loads  # noqa: F401 isort:skip
from django.core.asgi import get_asgi_application


readenv.setdefault("DJANGO_SETTINGS_MODULE", "myproject.settings")
application = get_asgi_application()
```
xin-gainian-moni-dianlu-3-yunsuan-fangdaqi-de-pinlvtexing-he-lvboqi-fix1 2025.3.24.0
新概念模拟电路3-运算放大器的频率特性和滤波器
Requires Python: >=3.6

# 新概念模拟电路3-运算放大器的频率特性和滤波器

## 下载

### Docker

```
docker pull apachecn0/xin-gainian-moni-dianlu-3-yunsuan-fangdaqi-de-pinlvtexing-he-lvboqi
docker run -tid -p <port>:80 apachecn0/xin-gainian-moni-dianlu-3-yunsuan-fangdaqi-de-pinlvtexing-he-lvboqi
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install xin-gainian-moni-dianlu-3-yunsuan-fangdaqi-de-pinlvtexing-he-lvboqi
xin-gainian-moni-dianlu-3-yunsuan-fangdaqi-de-pinlvtexing-he-lvboqi <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g xin-gainian-moni-dianlu-3-yunsuan-fangdaqi-de-pinlvtexing-he-lvboqi
xin-gainian-moni-dianlu-3-yunsuan-fangdaqi-de-pinlvtexing-he-lvboqi <port>
# 访问 http://localhost:{port} 查看文档
```
dias-uteis 0.1.14
Ferramentas para cálculos de dias úteis no calendário brasileiro.
Requires Python: <4.0,>=3.6

# dias_uteis
Biblioteca feita para facilitar o uso e cálculos de dias úteis no calendário brasileiro.

- Sem dependências externas.
- Testado em todas versões do Python a partir da versão 3.6.
- Fácil uso, API simples.
- Extremamente leve.

# Instalação
```
pip install dias_uteis
```

# Uso
```python
import datetime
import dias_uteis as dus
```
```
>>> dus.last_du()
datetime.date(2023, 11, 7)

>>> dus.next_du() 
datetime.date(2023, 11, 9)

>>> date = datetime.date(2023, 11, 8)
>>> dus.is_du(date)
True

>>> corpus_christi_2020 = datetime.date(2020, 6, 11)
>>> dus.is_holiday(corpus_christi_2020)
True

>>> dus.delta_du(date, 5) # Soma 5 dias úteis
datetime.date(2023, 11, 16)

>>> dus.delta_du(date, -2) # Subtrai 2 dias úteis
datetime.date(2023, 11, 6)

>>> a = datetime.date(2023,11,6)
>>> b = datetime.date(2023,11,16)
>>> dus.diff_du(a, b)
7

>>> start = datetime.date(2023, 10, 20) 
>>> end = datetime.date(2023, 11, 7)  
>>> dus.du_range(start, end)
[datetime.date(2023, 10, 20), datetime.date(2023, 10, 23), datetime.date(2023, 10, 24),
datetime.date(2023, 10, 25), datetime.date(2023, 10, 26), datetime.date(2023, 10, 27),
datetime.date(2023, 10, 30), datetime.date(2023, 10, 31), datetime.date(2023, 11, 1), 
datetime.date(2023, 11, 3), datetime.date(2023, 11, 6)]

>>> dus.year_holidays(2023) # Lista todos feriados de 2023
[datetime.date(2023, 1, 1), datetime.date(2023, 2, 20), datetime.date(2023, 2, 21), 
datetime.date(2023, 4, 7), datetime.date(2023, 4, 21), datetime.date(2023, 5, 1), 
datetime.date(2023, 6, 8), datetime.date(2023, 9, 7), datetime.date(2023, 10, 12), 
datetime.date(2023, 11, 2), datetime.date(2023, 11, 15), datetime.date(2023, 12, 25)]
```
xin-gainian-moni-dianlu-2-fufankui-he-yunsuan-fangdaqi-jichu-fix1 2025.3.24.0
新概念模拟电路2-负反馈和运算放大器基础
Requires Python: >=3.6

# 新概念模拟电路2-负反馈和运算放大器基础

## 下载

### Docker

```
docker pull apachecn0/xin-gainian-moni-dianlu-2-fufankui-he-yunsuan-fangdaqi-jichu
docker run -tid -p <port>:80 apachecn0/xin-gainian-moni-dianlu-2-fufankui-he-yunsuan-fangdaqi-jichu
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install xin-gainian-moni-dianlu-2-fufankui-he-yunsuan-fangdaqi-jichu
xin-gainian-moni-dianlu-2-fufankui-he-yunsuan-fangdaqi-jichu <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g xin-gainian-moni-dianlu-2-fufankui-he-yunsuan-fangdaqi-jichu
xin-gainian-moni-dianlu-2-fufankui-he-yunsuan-fangdaqi-jichu <port>
# 访问 http://localhost:{port} 查看文档
```
wuyun-zhishiku-disi-bufen-fix1 2025.3.24.0
乌云知识库 - 第四部分
Requires Python: >=3.6

# 乌云知识库 - 第四部分

## 下载

### Docker

```
docker pull apachecn0/wuyun-zhishiku-disi-bufen
docker run -tid -p <port>:80 apachecn0/wuyun-zhishiku-disi-bufen
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install wuyun-zhishiku-disi-bufen
wuyun-zhishiku-disi-bufen <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g wuyun-zhishiku-disi-bufen
wuyun-zhishiku-disi-bufen <port>
# 访问 http://localhost:{port} 查看文档
```
wuyun-zhishiku-dier-bufen-fix1 2025.3.24.0
乌云知识库 - 第二部分
Requires Python: >=3.6

# 乌云知识库 - 第二部分

## 下载

### Docker

```
docker pull apachecn0/wuyun-zhishiku-dier-bufen
docker run -tid -p <port>:80 apachecn0/wuyun-zhishiku-dier-bufen
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install wuyun-zhishiku-dier-bufen
wuyun-zhishiku-dier-bufen <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g wuyun-zhishiku-dier-bufen
wuyun-zhishiku-dier-bufen <port>
# 访问 http://localhost:{port} 查看文档
```
wuai-pojie-luntanjinghua-ji-2019-diyi-bufen-fix1 2025.3.24.0
吾爱破解论坛精华集 2019 第一部分
Requires Python: >=3.6

# 吾爱破解论坛精华集 2019 第一部分

## 下载

### Docker

```
docker pull apachecn0/wuai-pojie-luntanjinghua-ji-2019-diyi-bufen
docker run -tid -p <port>:80 apachecn0/wuai-pojie-luntanjinghua-ji-2019-diyi-bufen
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install wuai-pojie-luntanjinghua-ji-2019-diyi-bufen
wuai-pojie-luntanjinghua-ji-2019-diyi-bufen <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g wuai-pojie-luntanjinghua-ji-erlingyijiu-diyi-bufen
wuai-pojie-luntanjinghua-ji-erlingyijiu-diyi-bufen <port>
# 访问 http://localhost:{port} 查看文档
```
EcmaTimer 1.0.0
An advanced timer library for managing scheduled tasks in Python.
Requires Python: >=3.6

# EcmaTimer

[![PyPI version](https://img.shields.io/pypi/v/EcmaTimer.svg?logo=pypi&logoColor=FFE873)](https://pypi.org/project/EcmaTimer)
[![Supported Python versions](https://img.shields.io/pypi/pyversions/EcmaTimer.svg?logo=python&logoColor=FFE873)](https://pypi.org/project/EcmaTimer)
[![PyPI downloads](https://img.shields.io/pypi/dm/EcmaTimer.svg)](https://pypistats.org/packages/EcmaTimer)
[![GitHub Actions status](https://github.com/inject3r/EcmaTimer/workflows/Test/badge.svg)](https://github.com/inject3r/EcmaTimer/actions)
[![Codecov](https://codecov.io/gh/inject3r/EcmaTimer/branch/main/graph/badge.svg)](https://codecov.io/gh/inject3r/EcmaTimer)
[![Licence](https://img.shields.io/github/license/inject3r/EcmaTimer.svg)](COPYING.txt)
[![Code style: Black](https://img.shields.io/badge/code%20style-Black-000000.svg)](https://github.com/psf/black)

## Installation

### From PyPI

```bash
python3 -m pip install --upgrade EcmaTimer
```

### From source

```bash
git clone https://github.com/inject3r/EcmaTimer.git
cd EcmaTimer
python3 -m pip install .
```

## Example

```python
import asyncio
from EcmaTimer import SetTimer, KillTimer, HandleTimerError, TimerError

async def example_timer_function():
    print("Timer triggered!")
    
async def main():
    try:
        # Set a simple timer that runs every 2 seconds
        timer_id = await SetTimer(example_timer_function, 2000, repeating=True)

        # Simulate waiting for some time before killing the timer
        await asyncio.sleep(10)

        # Kill the timer after 10 seconds
        await KillTimer(timer_id)
        print("Timer killed after 10 seconds.")
    except TimerError as e:
        await HandleTimerError(e.timer_id, e.message)

if __name__ == "__main__":
    asyncio.run(main())
```

## Features

- **Asynchronous timers** using `asyncio`.
- **Repeating and one-shot timers**.
- **Exception handling** for timer errors.
- **Easy integration** into async Python applications.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

## Issues

If you find a bug or want to request a feature, please open an issue on [GitHub](https://github.com/inject3r/EcmaTimer/issues).
wuai-pojie-luntanjinghua-ji-2019-diwu-bufen-fix1 2025.3.24.0
吾爱破解论坛精华集 2019 第五部分
Requires Python: >=3.6

# 吾爱破解论坛精华集 2019 第五部分

## 下载

### Docker

```
docker pull apachecn0/wuai-pojie-luntanjinghua-ji-2019-diwu-bufen
docker run -tid -p <port>:80 apachecn0/wuai-pojie-luntanjinghua-ji-2019-diwu-bufen
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install wuai-pojie-luntanjinghua-ji-2019-diwu-bufen
wuai-pojie-luntanjinghua-ji-2019-diwu-bufen <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g wuai-pojie-luntanjinghua-ji-erlingyijiu-diwu-bufen
wuai-pojie-luntanjinghua-ji-erlingyijiu-diwu-bufen <port>
# 访问 http://localhost:{port} 查看文档
```
wuai-pojie-luntanjinghua-ji-2019-disi-bufen-fix1 2025.3.24.0
吾爱破解论坛精华集 2019 第四部分
Requires Python: >=3.6

# 吾爱破解论坛精华集 2019 第四部分

## 下载

### Docker

```
docker pull apachecn0/wuai-pojie-luntanjinghua-ji-2019-disi-bufen
docker run -tid -p <port>:80 apachecn0/wuai-pojie-luntanjinghua-ji-2019-disi-bufen
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install wuai-pojie-luntanjinghua-ji-2019-disi-bufen
wuai-pojie-luntanjinghua-ji-2019-disi-bufen <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g wuai-pojie-luntanjinghua-ji-erlingyijiu-disi-bufen
wuai-pojie-luntanjinghua-ji-erlingyijiu-disi-bufen <port>
# 访问 http://localhost:{port} 查看文档
```
wuai-pojie-luntanjinghua-ji-2019-disan-bufen-fix1 2025.3.24.0
吾爱破解论坛精华集 2019 第三部分
Requires Python: >=3.6

# 吾爱破解论坛精华集 2019 第三部分

## 下载

### Docker

```
docker pull apachecn0/wuai-pojie-luntanjinghua-ji-2019-disan-bufen
docker run -tid -p <port>:80 apachecn0/wuai-pojie-luntanjinghua-ji-2019-disan-bufen
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install wuai-pojie-luntanjinghua-ji-2019-disan-bufen
wuai-pojie-luntanjinghua-ji-2019-disan-bufen <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g wuai-pojie-luntanjinghua-ji-erlingyijiu-disan-bufen
wuai-pojie-luntanjinghua-ji-erlingyijiu-disan-bufen <port>
# 访问 http://localhost:{port} 查看文档
```
wuai-pojie-luntanjinghua-ji-2019-diliu-bufen-fix1 2025.3.24.0
吾爱破解论坛精华集 2019 第六部分
Requires Python: >=3.6

# 吾爱破解论坛精华集 2019 第六部分

## 下载

### Docker

```
docker pull apachecn0/wuai-pojie-luntanjinghua-ji-2019-diliu-bufen
docker run -tid -p <port>:80 apachecn0/wuai-pojie-luntanjinghua-ji-2019-diliu-bufen
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install wuai-pojie-luntanjinghua-ji-2019-diliu-bufen
wuai-pojie-luntanjinghua-ji-2019-diliu-bufen <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g wuai-pojie-luntanjinghua-ji-erlingyijiu-diliu-bufen
wuai-pojie-luntanjinghua-ji-erlingyijiu-diliu-bufen <port>
# 访问 http://localhost:{port} 查看文档
```
wuai-pojie-luntanjinghua-ji-2018-diyi-bufen-fix1 2025.3.24.0
吾爱破解论坛精华集 2018 第一部分
Requires Python: >=3.6

# 吾爱破解论坛精华集 2018 第一部分

## 下载

### Docker

```
docker pull apachecn0/wuai-pojie-luntanjinghua-ji-2018-diyi-bufen
docker run -tid -p <port>:80 apachecn0/wuai-pojie-luntanjinghua-ji-2018-diyi-bufen
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install wuai-pojie-luntanjinghua-ji-2018-diyi-bufen
wuai-pojie-luntanjinghua-ji-2018-diyi-bufen <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g wuai-pojie-luntanjinghua-ji-erlingyiba-diyi-bufen
wuai-pojie-luntanjinghua-ji-erlingyiba-diyi-bufen <port>
# 访问 http://localhost:{port} 查看文档
```
wuai-pojie-luntanjinghua-ji-2018-diwu-bufen-fix1 2025.3.24.0
吾爱破解论坛精华集 2018 第五部分
Requires Python: >=3.6

# 吾爱破解论坛精华集 2018 第五部分

## 下载

### Docker

```
docker pull apachecn0/wuai-pojie-luntanjinghua-ji-2018-diwu-bufen
docker run -tid -p <port>:80 apachecn0/wuai-pojie-luntanjinghua-ji-2018-diwu-bufen
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install wuai-pojie-luntanjinghua-ji-2018-diwu-bufen
wuai-pojie-luntanjinghua-ji-2018-diwu-bufen <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g wuai-pojie-luntanjinghua-ji-erlingyiba-diwu-bufen
wuai-pojie-luntanjinghua-ji-erlingyiba-diwu-bufen <port>
# 访问 http://localhost:{port} 查看文档
```
wuai-pojie-luntanjinghua-ji-2018-disi-bufen-fix1 2025.3.24.0
吾爱破解论坛精华集 2018 第四部分
Requires Python: >=3.6

# 吾爱破解论坛精华集 2018 第四部分

## 下载

### Docker

```
docker pull apachecn0/wuai-pojie-luntanjinghua-ji-2018-disi-bufen
docker run -tid -p <port>:80 apachecn0/wuai-pojie-luntanjinghua-ji-2018-disi-bufen
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install wuai-pojie-luntanjinghua-ji-2018-disi-bufen
wuai-pojie-luntanjinghua-ji-2018-disi-bufen <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g wuai-pojie-luntanjinghua-ji-erlingyiba-disi-bufen
wuai-pojie-luntanjinghua-ji-erlingyiba-disi-bufen <port>
# 访问 http://localhost:{port} 查看文档
```
llummarizer 0.0.1
A python package for summarizing text using an LLM model.
Requires Python: >=3.12

# LLM Summarizer

LLummarizer is a Python library that provides an interface to the OpenAI GPT-4 model for generating summaries from structured data. This library allows developers to easily integrate summarization capabilities into their applications.

## Installation

You can install the LLM Summarizer library using pip:

```sh
pip install llummarizer
```

## Usage

Here is a simple example of how to use the `LLMSummarizer` class:

```python
from llummarizer import LLMSummarizer

# Create an instance of the summarizer
summarizer = LLMSummarizer()

# Define the data to summarize
data = {
    "first_name": "Lewis",
    "last_name": "Hamilton",
    "occupation": "Driver",
    "wins": 100,
    "points": 1000
}

# Optionally, define context and excluded keys
context = {
    "first_name": "Named after Olympic sprinter Carl Lewis",
    "occupation": "Formula 1 racing driver"
}
excluded_keys = ["email"]

# Generate the summary in English (default)
summary_en = summarizer.create_summary(data, context=context, excluded_keys=excluded_keys)

# Generate the summary in Spanish
summary_es = summarizer.create_summary(data, context=context, excluded_keys=excluded_keys, language="spanish")

print("English summary:", summary_en)
print("Spanish summary:", summary_es)
```

## Features

- Generate summaries from structured data
- Customize summaries with additional context
- Exclude specific keys from summarization
- Support for multiple output languages
- Powered by OpenAI's GPT-4 model

## Requirements

- Python 3.12 or higher
- OpenAI API key (set as an environment variable `OPENAI_API_KEY`)

## License

This project is licensed under the MIT License. See the LICENSE file for more details.
llmarizer 0.0.1
A python package for summarizing text using an LLM model.
Requires Python: >=3.12

# LLM Summarizer

LLummarizer is a Python library that provides an interface to the OpenAI GPT-4 model for generating summaries from structured data. This library allows developers to easily integrate summarization capabilities into their applications.

## Installation

You can install the LLM Summarizer library using pip:

```sh
pip install llummarizer
```

## Usage

Here is a simple example of how to use the `LLMSummarizer` class:

```python
from llummarizer import LLMSummarizer

# Create an instance of the summarizer
summarizer = LLMSummarizer()

# Define the data to summarize
data = {
    "first_name": "Lewis",
    "last_name": "Hamilton",
    "occupation": "Driver",
    "wins": 100,
    "points": 1000
}

# Optionally, define context and excluded keys
context = {
    "first_name": "Named after Olympic sprinter Carl Lewis",
    "occupation": "Formula 1 racing driver"
}
excluded_keys = ["email"]

# Generate the summary in English (default)
summary_en = summarizer.create_summary(data, context=context, excluded_keys=excluded_keys)

# Generate the summary in Spanish
summary_es = summarizer.create_summary(data, context=context, excluded_keys=excluded_keys, language="spanish")

print("English summary:", summary_en)
print("Spanish summary:", summary_es)
```

## Features

- Generate summaries from structured data
- Customize summaries with additional context
- Exclude specific keys from summarization
- Support for multiple output languages
- Powered by OpenAI's GPT-4 model

## Requirements

- Python 3.12 or higher
- OpenAI API key (set as an environment variable `OPENAI_API_KEY`)

## License

This project is licensed under the MIT License. See the LICENSE file for more details.
wuai-pojie-luntanjinghua-ji-2018-disan-bufen-fix1 2025.3.24.0
吾爱破解论坛精华集 2018 第三部分
Requires Python: >=3.6

# 吾爱破解论坛精华集 2018 第三部分

## 下载

### Docker

```
docker pull apachecn0/wuai-pojie-luntanjinghua-ji-2018-disan-bufen
docker run -tid -p <port>:80 apachecn0/wuai-pojie-luntanjinghua-ji-2018-disan-bufen
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install wuai-pojie-luntanjinghua-ji-2018-disan-bufen
wuai-pojie-luntanjinghua-ji-2018-disan-bufen <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g wuai-pojie-luntanjinghua-ji-erlingyiba-disan-bufen
wuai-pojie-luntanjinghua-ji-erlingyiba-disan-bufen <port>
# 访问 http://localhost:{port} 查看文档
```
wuai-pojie-luntanjinghua-ji-2017-disan-bufen-fix1 2025.3.24.0
吾爱破解论坛精华集 2017 第三部分
Requires Python: >=3.6

# 吾爱破解论坛精华集 2017 第三部分

## 下载

### Docker

```
docker pull apachecn0/wuai-pojie-luntanjinghua-ji-2017-disan-bufen
docker run -tid -p <port>:80 apachecn0/wuai-pojie-luntanjinghua-ji-2017-disan-bufen
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install wuai-pojie-luntanjinghua-ji-2017-disan-bufen
wuai-pojie-luntanjinghua-ji-2017-disan-bufen <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g wuai-pojie-luntanjinghua-ji-erlingyiqi-disan-bufen
wuai-pojie-luntanjinghua-ji-erlingyiqi-disan-bufen <port>
# 访问 http://localhost:{port} 查看文档
```
wuai-pojie-luntanjinghua-ji-2017-dier-bufen-fix1 2025.3.24.0
吾爱破解论坛精华集 2017 第二部分
Requires Python: >=3.6

# 吾爱破解论坛精华集 2017 第二部分

## 下载

### Docker

```
docker pull apachecn0/wuai-pojie-luntanjinghua-ji-2017-dier-bufen
docker run -tid -p <port>:80 apachecn0/wuai-pojie-luntanjinghua-ji-2017-dier-bufen
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install wuai-pojie-luntanjinghua-ji-2017-dier-bufen
wuai-pojie-luntanjinghua-ji-2017-dier-bufen <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g wuai-pojie-luntanjinghua-ji-erlingyiqi-dier-bufen
wuai-pojie-luntanjinghua-ji-erlingyiqi-dier-bufen <port>
# 访问 http://localhost:{port} 查看文档
```
wuai-pojie-luntanjinghua-ji-2016-fix1 2025.3.24.0
吾爱破解论坛精华集 2016
Requires Python: >=3.6

# 吾爱破解论坛精华集 2016

## 下载

### Docker

```
docker pull apachecn0/wuai-pojie-luntanjinghua-ji-2016
docker run -tid -p <port>:80 apachecn0/wuai-pojie-luntanjinghua-ji-2016
# 访问 http://localhost:{port} 查看文档
```

### PYPI

```
pip install wuai-pojie-luntanjinghua-ji-2016
wuai-pojie-luntanjinghua-ji-2016 <port>
# 访问 http://localhost:{port} 查看文档
```

### NPM

```
npm install -g wuai-pojie-luntanjinghua-ji-erlingyiliu
wuai-pojie-luntanjinghua-ji-erlingyiliu <port>
# 访问 http://localhost:{port} 查看文档
```