semvec/pypi-packages huggingface dataset:
Text-into-image 0.0.1
Hide text into image
Keywords: python,steganography,text image,text coder

# Text into image

Under construction!  Currently experimenting and planning!

Developed by Hayk Sardaryan (c) 2021

## Examples of How To Use (Buggy Alpha Version)


```python
from Text_into_image import Text2Image

T = Text2Image()
```
create image and text file ex. "img.jpg" and "abc.txt" 
```python
T.code('abc.txt', 'img.jpg')
```

You will receive: s_img.png file, it's a coded image

For decode you can use
```python
T.A.decode('s_im.png',secret_filename='secret.txt', max_char=2500)
```
You will receive: secret.txt file, it's a secret text
bioweave 0.0.1a1
Bioweave, an ETL framework for the Biolink model
Requires Python: >=3.6

### bioweave

Data ingest framework for the biolink model

Configure your ingest in yaml and author declarative transform recipes with less boilerplate

#### Installation

```
pip install bioweave
```

#### Getting Started

Helloworld

#### A Small Example


TODO example using string
revents 0.0.6
Reddit events for asyncpraw
Requires Python: >=3.7.0,<3.10

![PyPI](https://img.shields.io/pypi/v/revents)
![License](https://img.shields.io/github/license/YodaPY/revents)

Revents makes listening to events easier than ever, be it for discord bots or just simple testing.

**Currently revents only supports submission create events**

Install it with:
`pip install revents`

# Example Usage:
```py
from revents import EventClient

reddit_settings = {
    "client_id": "my client_id",
    "client_secret": "my_client_secret",
    "user_agent": "platform:app:version by /u/User"
}

client = EventClient(**reddit_settings)

@client.listen(subreddits=["Python"])
async def on_submission(submission):
    print(submission.title)

client.run()
```

# Performance boost
You can install [uvloop](https://github.com/MagicStack/uvloop) for a performance boost which will replace asyncio's default event loop.
```py
import uvloop

#your code

uvloop.install()
#run your client
```