semvec/pypi-packages huggingface dataset:
country-viewport 0.1.9
Extract viewports from country codes, without the need of relying on Google APIs.
License: MIT
Keywords: viewport,country

# Country-viewport

If you are in need of fetching viewports from countries, but do not want to use Google APIs, this package is for you.

### Installation

```sh
$ pip3 install country-viewport
```

### Usage

```python
>>> import country_viewport
>>> country_viewport.get('CU')
{
    'min_latitude': 19.90553,
    'min_longitude': -84.28599,
    'max_latitude': 23.15917,
    'max_longitude': -74.15181,
}
```

## License

MIT
nonebot.plugins.server-status 0.1.0a3
NoneBot Plugin to get server status info
License: MIT
Requires Python: >=3.7,<4.0
Keywords: nonebot_plugin,nonebot,plugin,bot,qq

# NoneBot Plugin Server Status

## 简介

一个简易获取服务器 CPU, 内存, 磁盘信息的插件。

## 使用方法

superuser 向机器人发送 `命令：状态` 或 `戳一戳` 时将回复服务器状态信息，优先级固定为 `10`。

## 配置项

- `SERVER_STATUS_CPU (bool)` = `True` ：是否展示 CPU 信息
- `SERVER_STATUS_MEMORY (bool)` = `True` ：是否展示内存信息
- `SERVER_STATUS_DISK (bool)` = `True` ：是否展示磁盘信息
nonebot-plugin-server-status 0.1.0
NoneBot Plugin to get server status info
License: MIT
Requires Python: >=3.7,<4.0

# NoneBot Plugin Server Status

## 简介

一个简易获取服务器 CPU, 内存, 磁盘信息的插件。

## 使用方法

superuser 向机器人发送 `命令：状态` 或 `戳一戳` 时将回复服务器状态信息，优先级固定为 `10`。

## 配置项

- `SERVER_STATUS_CPU (bool)` = `True` ：是否展示 CPU 信息
- `SERVER_STATUS_MEMORY (bool)` = `True` ：是否展示内存信息
- `SERVER_STATUS_DISK (bool)` = `True` ：是否展示磁盘信息
simpleatm 0.1.0
Lightweight Python package for calculating the atmospheric transmission
License: MIT
Requires Python: >=3.6,<4.0

# simpleatm

[![PyPI](https://img.shields.io/pypi/v/simpleatm.svg?label=PyPI&style=flat-square)](https://pypi.org/pypi/simpleatm/)
[![Python](https://img.shields.io/pypi/pyversions/simpleatm.svg?label=Python&color=yellow&style=flat-square)](https://pypi.org/pypi/simpleatm/)
[![Test](https://img.shields.io/github/workflow/status/deshima-dev/simpleatm/Test?logo=github&label=Test&style=flat-square)](https://github.com/deshima-dev/simpleatm/actions)
[![License](https://img.shields.io/badge/license-MIT-blue.svg?label=License&style=flat-square)](LICENSE)

Lightweight Python package for calculating the atmospheric transmission

## Overview

[simpleatm] is a Python package which calculates (sub)millimeter atmospheric transmission as a function of precipitable water vapor (PWV) and frequency.
The package includes pre-calculated transmission datasets at various observation sites by the [ATM model] (Pardo et al. 2001).
Moreover, since a dataset is loaded as the [xarray]'s DataArray format, interpolation, plotting, and saving features are provided by default.
Therefore, [simpleatm] would be useful in fast and approximate sensitivity calculation of a telescope instrument.

## Requirements

- **Python:** 3.6, 3.7, or 3.8 (tested by the authors)
- **Dependencies:** See [pyproject.toml](https://github.com/deshima-dev/simpleatm/blob/master/pyproject.toml)

## Installation

```shell
$ pip install simpleatm
```

## Usage

To be updated after the release of [v0.2.0](https://github.com/deshima-dev/simpleatm/milestone/2).

## For developers

```shell
$ git clone https://github.com/deshima-dev/simpleatm.git
$ cd simpleatm
$ scripts/setup
```

## References

- [ATM model]: pre-calculated table was obtained here
- [xarray]: N-D labeled arrays and datasets in Python

[simpleatm]: https://pypi.org/project/simpleatm/
[ALMA]: https://almascience.nao.ac.jp/
[ATM model]: https://almascience.nao.ac.jp/about-alma/atmosphere-model/
[Poetry]: https://python-poetry.org/
[xarray]: https://xarray.pydata.org/en/stable/