semvec/pypi-packages huggingface dataset:
texture-mapping 0.0.8
PCL Texture Mapping Wrapper of Python
License: MIT

# Texture Mapping

## Install

```
pip install texture-mapping
```

## Input txt config format

`txt` file indicates camera pose and intrinsic parameters.
The format is as follows.

```
translation_x translation_y translation_z
rotation_00 rotation_01 rotation_02
rotation_10 rotation_11 rotation_12
rotation_20 rotation_21 rotation_22
fx
fy
cx
cy
image_height
image_width
```

## Examples

```
git clone https://github.com/iory/texture-mapping.git
cd texture-mapping
texture-mapping --input examples/obj.ply --out textured.obj --config-dir examples/
```

Output obj file `textured.obj` will be created at the same directory of input ply file.

![](docs/image/textured.gif)
nonebot-adapter-qqguild 0.4.0
QQ Guild adapter for nonebot2
License: MIT
Requires Python: >=3.8,<4.0
Keywords: bot,qq,qqbot,qqguild

<p align="center">
  <a href="https://nonebot.dev/"><img src="https://raw.githubusercontent.com/nonebot/adapter-qq/master/assets/logo-qqguild.png" width="200" height="200" alt="nonebot-adapter-qqguild"></a>
</p>

<div align="center">

# NoneBot-Adapter-QQGuild

_✨ QQ 频道协议适配 ✨_

</div>

> [!IMPORTANT]
> 本适配器已停止支持，请使用 [NoneBot Adapter QQ](https://github.com/nonebot/adapter-qq) 适配器。

## 配置

修改 NoneBot 配置文件 `.env` 或者 `.env.*`。

### Driver

参考 [driver](https://nonebot.dev/docs/appendices/config#driver) 配置项，添加 `ForwardDriver` 支持。

如：

```dotenv
DRIVER=~httpx+~websockets
DRIVER=~aiohttp
```

### QQGUILD_IS_SANDBOX

是否为沙盒模式，默认为 `False`。

```dotenv
QQGUILD_IS_SANDBOX=true
```

### QQGUILD_BOTS

配置机器人帐号，如：

```dotenv
QQGUILD_BOTS='
[
  {
    "id": "xxx",
    "token": "xxx",
    "secret": "xxx",
    "intent": {
      "guild_messages": true,
      "at_messages": false
    }
  }
]
'
```
light-pandas 0.1.22
Light weight Pandas library
License: MIT

# Light Pandas

## Brief

**Pandas** is a great tools for data analysis.<br>
But the execution speed is very slow. So I try to provide a light library.
The properties as below:

- **Light Pandas** only provide part of functions which provided by pandas.
- The code can compatible pandas. That's mean the code should execute OK if replaced light pandas by pandas.
- **Light Pandas** execution speed is faster than pandas.
- The cell type only support str.
- TBD

## Install
```
pip install light-pandas
```

## Example

- Create an empty DataFrame which contained two columns.

```
import lightpandas as pd
df = lpd.DataFrame(columns=('item1', 'item2'))
```

- Filter in the rows which the column "item4" is littler than "t4" (string compare).

```
df.loc[df['item1'] < 't4']
```