semvec/pypi-packages huggingface dataset:
easy-terminal 0.8.1
A tool that help using python function into terminal
License: MIT
Keywords: wrapper,event,terminal,cmd

# easy-terminal

**A library that help you to convert function into terminal command**

## Getting started

1. [**Installation**](#installation)
2. [**Usages**](#usages)
3. [**Code example**](#code-example)
4. [**Documentation**](#documentation)

## Installation

#### `pip install easy-terminal`

##### Require easy-events>=2.2.0

GitHub : [Github](https://github.com/ThePhoenix78/easy-terminal)


## Usages

Add the @terminal() before the function you want to try in the terminal
Use @main() to redirect any input to the function linked

## Code example

```py
from easy_terminal import terminal

help_msg = """
pc processor ram    : will print the informations of the pc
hello               : will print world
help                : will show this message
"""

@terminal(aliases=["help"])
def h():
    print(help_msg)

class A:
    nb = 1

    def __init__(self, nb=5):
        self.nb = nb

    @terminal()
    def hello(self):
        print("world", self.nb, "\n")

a = A(6)

@terminal()
async def hello():
    print("world\n")
    

@terminal()
def pc(processor: str = "intel", ram: str = "8go"):
    print(f"processor: {processor}\nram : {ram}\n")



@main()
def principal(car: str = "mercedes"):
    print(f"Your car is a {car}")

"""
>hello
world

>A.hello
world 1

>a.hello
world 6

>pc
processor: intel
ram : 8go

>pc amd
processor: amd
ram : 8go

>pc amd 16go
processor: amd
ram : 16go

>help

pc processor ram    : will print the informations of the pc
hello               : will print world
help                : will show this message


>peugot
Your car is a peugot
"""

```

### This lib make you run python function in a terminal
MetDL 2.2.1
Extended library to read Meteorological data for AI Study
License: MIT
Requires Python: >=3

# MetDL 
MetDL 라이브러리는 **AI 예보지원 및 활용기술 개발 2022** (국립기상과학원) 과제의 일환으로 개발되었습니다.
AI 연구를 위한 기상 데이터 입력 편의성을 위해 고안된 파이썬 라이브러리입니다.

본 라이브러리에서 읽을 수 있는 자료는 다음과 같습니다.

- ASOS
- AWS
- KIM 모델
- UM 모델
- ECMWF모델
- 천리안2호(GK2A) L1B
- Himawari Cloud L1B
- Radar

*입력자료 설정파일은 conf/ 디렉토리를 참조
자세한 사용 방법은 PDF 파일을 참조하시기 바랍니다.

---
The MetDL library was developed as part of **the Development Intelligent Assistant Techniques and its Application for Weather Forcasting Process in 2022** by the National Institute of Meteorological Sciences.

It was a python library that designed to enhance the convenience of accessing meteorological data for AI research.

The library can read the following data:

- ASOS (Automated Surface Observing System)
- AWS (Automatic Weather Station) data
- KIM model data
- UM model data
- ECMWF model data
- GK2A L1B data
- Himawari Cloud L1B data
- Radar data
*Configuration files for input data can be found in the conf/ directory.

For detailed usage instructions, please refer to the PDF file.
gw-lts 0.5.0
Gravitational Wave Low-Latency Test Suite
License: MIT
Requires Python: >=3.6

<h1 align="center">gw-lts</h1>

<p align="center">GW Low-latency Test Suite</p>

<p align="center">
<img src="https://git.ligo.org/rebecca.ewing/gw-lts/raw/main/static/gw-lts.png" alt="Centered Image" width="500" height="230">
</p>

<p align="center">
  <a href="https://git.ligo.org/rebecca.ewing/gw-lts/-/pipelines/latest">
    <img alt="ci" src="https://git.ligo.org/rebecca.ewing/gw-lts/badges/main/pipeline.svg" />
  </a>
  <a href="https://docs.ligo.org/rebecca.ewing/gw-lts/">
    <img alt="documentation" src="https://img.shields.io/badge/docs-mkdocs%20material-blue.svg?style=flat" />
  </a>
  <a href="https://pypi.org/project/gw-lts/">
    <img alt="pypi version" src="https://img.shields.io/pypi/v/gw-lts.svg" />
  </a>
</p>

---

## Features

The gw-lts software provides:

* real-time end-to-end consistency checks of science outputs from gravitational wave searches
* capability to simulate gravitational wave search outputs with a fake data set
* ability to display results with an example Grafana dashboard template

## Installation

```python3
pip install gw-lts
```