semvec/pypi-packages huggingface dataset:
yargen 0.0.12
一個簡短的專案描述
Requires Python: >=3.6

English | [繁體中文](README.zh-TW.md)


# Yargen Plugin for IDA Pro

## Introduction
Yargen is an innovative IDA Pro plugin that aims to simplify the process of YARA analysis within the binary analysis environment. By leveraging the capabilities of the CAPA framework, Yargen provides a seamless and efficient experience for detecting and documenting capabilities in executable files. With its easy activation through the `Alt+Y` shortcut, Yargen streamlines the analysis workflow for both novice and experienced analysts.

## Features
- **Simplified YARA Analysis**: Streamlines the process of applying YARA rules to binaries, making the analysis more accessible.
- **NetNode Exploration**: Automatically scans and displays CAPA netnodes within IDA Pro, highlighting key analytical findings.
- **Data Serialization**: Offers custom JSON serialization for enhanced data handling, allowing for a clear representation of analysis results.
- **Results Exportation**: Facilitates the exportation of analysis results into both JSON and Excel formats, enabling thorough examination and documentation.
- **User Path Selection**: Provides flexibility in saving files, allowing users to choose between the desktop or a plugin-specific cache directory.

## Installation
1. Ensure you have IDA Pro version 8.3 and CAPA version 7.0.1 installed on your system.
2. Clone or download the Yargen plugin repository to your local machine.
3. Copy the `yargen.py` file to the `plugins` directory of your IDA Pro installation.
4. Restart IDA Pro to automatically load the plugin.

## Usage
To initiate the Yargen plugin, open an executable file with IDA Pro and press `Alt+Y`. Follow the intuitive interface to perform YARA analysis, explore netnodes, and export analysis results effortlessly.

## Principles
The Yargen plugin is dedicated to making YARA analysis within IDA Pro more approachable by integrating with the CAPA framework. It utilizes Python scripting and IDA Pro's extensive API to offer a user-friendly approach to binary analysis, data serialization, and result exportation, enhancing the overall analysis workflow.

## Contributing
We welcome contributions to improve the Yargen plugin. Feel free to fork the repository, make your changes, and submit pull requests. For discussions and suggestions, please open an issue in the repository.

## License
Yargen is made available under the [MIT License](LICENSE). This license allows for a wide range of uses, promoting the open use, modification, and distribution of the plugin. For more details, see the LICENSE file.

## Contact
- Zhao-Xinn: zhaoxinzhang0429@gmail.com
- Tsai, YA-HSUAN: aooood456@gmail.com
- Ting0525: zg45154551@gmail.com
indent-concluder 0.1
A python library that uses indentation to generate neat summary reports.

# indent-concluder
A python library that uses indentation to generate neat summary reports.

## usage & example
[code](test.py)  
[tasks](doc/example/task.json)  
[conclusion](doc/example/conclusion.txt)

## license
[AGPL3.0](https://www.gnu.org/licenses/agpl.txt)
discord-ext-help 1.0.1
A discord.py extension that automatically generates interaction help commands.
Requires Python: >=3.8,<4.0

# discord.ext.help
> [!NOTE]
> The specification has changed from the legacy version (0.x), and this library now only supports help generation for application commands.
> 
A discord.py extension that automatically generates interaction help commands.

## Dependency
- [Defxult/reactionmenu](https://github.com/Defxult/reactionmenu)
- discord.py 2.0 and later 

This library is not guaranteed to be compatible with the discord.py fork (Because the reactionmenu used in this library is probably dedicated to discord.py).

Also, for pycord, you can reproduce the behavior of this library by using [`discord.ext.pages`](https://docs.pycord.dev/en/stable/ext/pages/index.html).

## How To Use
### Install
```
pip install discord-ext-help
```
### example
```python
import discord
from discord.ext import commands
from discord_ext_help.help import extension as helpext

bot = commands.Bot(command_prefix="!", intents=discord.Intents.all())
deh = helpext(bot)

@bot.event
async def setup_hook():
    command = await bot.tree.sync()
    await deh.regist_ids(command)

@bot.tree.command(
    name="help", description="show help"
)
async def help(interaction: discord.Interaction):
    await interaction.response.defer()
    await generate(interaction)

bot.run(token)
```
flask-openai 0.5.0
A Flask extension for easy integration with OpenAI's API.
Requires Python: >=3.7

# Flask-OpenAI Extension

The Flask-OpenAI extension provides a simple and intuitive way to integrate OpenAI's API into your Flask applications. With minimal setup, you can start leveraging the power of AI models in your Flask projects, whether it's for generating text, code, or any other application supported by OpenAI.

## Features

- Easy integration of OpenAI's API into Flask applications.
- Automatic management of OpenAI API keys.
- Efficient handling of API client instances throughout the application lifecycle.

## Installation

Install Flask-OpenAI using pip:

```
pip install flask-openai
```

## Quick Start

1. **Set up your Flask application**

First, ensure you have Flask installed. If not, you can install it using pip:

```
pip install Flask
```

Then, set up a basic Flask application:

```python
from flask import Flask
app = Flask(__name__)
```

2. **Configure the Flask-OpenAI extension**

Import and initialize the `OpenAI` extension, passing your Flask app object to it. Don't forget to set the `OPENAI_API_KEY` in your app's configuration:

```python
from flask_openai import OpenAI

app.config['OPENAI_API_KEY'] = 'your_openai_api_key_here'
openai_extension = OpenAI(app)
```

Alternatively, if you are using a factory function to create your Flask app, you can set up the OpenAI extension like this:

```python
openai_extension = OpenAI()

def create_app():
    app = Flask(__name__)
    app.config['OPENAI_API_KEY'] = 'your_openai_api_key_here'
    openai_extension.init_app(app)
    return app
```

3. **Use the OpenAI client in your application**

Now, you can access the OpenAI client in your route handlers using `openai_extension.client`. Here's an example of how to generate text with the OpenAI API:

```python
@app.route('/generate-text')
def generate_text():
    completion = openai.client.chat.completions.create(
        model="gpt-3.5-turbo",
        messages=[
            {"role": "system",
             "content": "You are a poetic assistant, skilled in explaining complex programming concepts with creative flair."},
            {"role": "user", "content": "Compose a poem that explains the concept of recursion in programming."}
        ]
    )

    return completion.choices[0].message.content

```

## Documentation

For more information on OpenAI's API and its capabilities, visit [OpenAI API documentation](https://openai.com/api/).

## License

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

## Contributing

Contributions are welcome! Please feel free to submit a pull request.

## Support

If you have any questions or encounter any issues, please open an issue on the project's GitHub page.

## Acknowledgements

This project is not officially associated with OpenAI. All trademarks are the property of their respective owners.