semvec/pypi-packages huggingface dataset:
atmn 1.1.0
Automation Toolbox for Machine learning in water Networks
Requires Python: >=3.8

# Automation Toolbox for Machine learning in water Networks
The Automation Toolbox for Machine learning in water Networks (`atmn`) offers a selection of easy to use tools for generating and working with synthetic water network data. It builds on the `wntr` python package to use the EPANET simulator for simulation of leaks and sensor faults in water networks.

For full documentation and example code, please refer to our [Github Page](https://github.com/HammerLabML/atmn).
feishubot2 0.0.2
Send message to you by feishu bot.
Requires Python: >=3.6

# feishubot

Send message to you by feishu bot

## Install

```bash
pip install feishubot2
```

If you need send image, you need install with `media` option

```bash
pip install feishubot2[media]
```

## Usage

1. Set environment FEISHU_APP_ID and FEISHU_APP_SECRET to use feishu api
2. set FEISHU_PHONE or FEISHU_EMAIL or FEISHU_OPEN_ID for sending message to you

> when environment was not set correctly, bot will be disable

## Feature

- Send plain message
- Send file
- Send image
- Send video with cover
- Send audio
- Send simple card

## Examples

```python
from feishubot import bot

def test_send_text(self):
    bot.send_text("This is a test message.")

def test_send_file(self):
    with open(__file__, "rb") as f:
        bot.send_file(f, "stream")

def test_send_image(self):
    bot.send_image(requests.get("https://random.imagecdn.app/500/150").content)

def send_audio(self):
    with open("test.opus", "rb") as f:
        bot.send_audio(f)

def test_send_media(self):
    with open("test.mp4", "rb") as f:
        bot.send_media(f)

def test_send_card(self):
    bot.send_card("This is a test **message**.", header="Test card")
```
stackjoiner 0.1.5
An amazing sample package!

# Stack Joiner

Nested stacks in AWS CloudFormation provide a way to organize and manage multiple resources as a single unit, making it easier to manage and deploy large and complex infrastructure.

**However**, when stack set with service-managed permissions we can't use them =[

**Nested Stack is not supported in SERVICE_MANAGED permission model**

This package solves this problem, by merging all the stacks in one single file, allowing you to test your infrastructure using nested stacks and making it possible to export them to a single file for deployment


## Installation

```sh
pip install stackjoiner
```

## Run

```sh
stackjoiner root_template.yaml output.yaml 
```



## Contributing

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