semvec/pypi-packages huggingface dataset:
spark-generated-rules-tools 0.2.8
spark_generated_rules_tools
Keywords: spark,dq,rules,hammurabies

# spark_generated_rules_tools

[![Github License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Updates](https://pyup.io/repos/github/woctezuma/google-colab-transfer/shield.svg)](pyup)
[![Python 3](https://pyup.io/repos/github/woctezuma/google-colab-transfer/python-3-shield.svg)](pyup)
[![Code coverage](https://codecov.io/gh/woctezuma/google-colab-transfer/branch/master/graph/badge.svg)](codecov)

spark_generated_rules_tools is a Python library that implements quality rules in sandbox

## Installation

The code is packaged for PyPI, so that the installation consists in running:


## Usage

wrapper create hammurabies 

## Sandbox
## Installation
```sh
!yes| pip uninstall spark-generated-rules-tools
```

```sh
pip install spark-generated-rules-tools --user --upgrade
```

## IMPORTS
```sh
import os
import pyspark

from spark_generated_rules_tools import dq_validate_rules

```

## Variables
```sh
user_sandbox="P030772"
```


## Creating Workspace
```sh
dq_path_workspace(user_sandbox=user_sandbox)
```


## Run 
```sh
dq_run_sandbox(spark=spark,
               sc=sc,
               parameter_conf_list=parameter_conf_list,
               url_conf=url_conf)
```



## License

[Apache License 2.0](https://www.dropbox.com/s/8t6xtgk06o3ij61/LICENSE?dl=0).

## New features v1.0

## BugFix

- choco install visualcpp-build-tools

## Reference

- Jonathan Quiza [github](https://github.com/jonaqp).
- Jonathan Quiza [RumiMLSpark](http://rumi-ml.herokuapp.com/).
nonebot-plugin-workscore 0.1.2
nonebot2 plugin work-score
Keywords: pip,nonebot2,nonebot,workscore,nonebot_plugin

<p align="center">
  <a href="https://v2.nonebot.dev/"><img src="https://v2.nonebot.dev/logo.png" width="200" height="200" alt="nonebot"></a>
</p>


<div align="center">
  
**你的star是我的动力**  
**↓**  
<img src="https://img.shields.io/github/stars/yzyyz1387/nonebot_plugin_workscore.svg?style=social">  

# 工作性价比计算器📱 (alpha only)

_✨ NoneBot2 工作性价比计算插件 ✨_

</div>
算法来自知乎，可自行百度
计算结果仅供参考

## 安装💿
`pip install nonebot-plugin-workscore`


## 导入📲
在**bot.py** 导入，语句：
`nonebot.load_plugin("nonebot_plugin_workscore")`



## 目录结构📂

```
├─imgs
├   └─shuang.png.
├   └─shaungboom.png
├   └─yiban.png
├   └─cjrh.jpg
├   └─1.jpg
├   └─2.jpg
├─__init__.py

```


## 指令💻
`ces = on_command("workscore",aliases={"算性价比","性价比计算器","工作性价比"},rule=to_me())`
即常见形式为私聊，@或者叫机器人的昵称并说 “算性价比”
**示例**
`@Eternity. 算性价比`
`bot 算性价比`
`@机器人 算性价比`

**给个star吧~**

## 其他插件  
[简易群管](https://github.com/yzyyz1387/nonebot_plugin_admin)  
[在线运行代码](https://github.com/yzyyz1387/nonebot_plugin_code)  
[it咨讯（垃圾插件）](https://github.com/yzyyz1387/nonebot_plugin_itnews "it资讯")  
[工作性价比（还没更新beta不能用）](https://github.com/yzyyz1387/nonebot_plugin_workscore)  
[黑丝插件（jsdelivr问题国内服务器不能用）](https://github.com/yzyyz1387/nonebot_plugin_heisi)

## 截图🖼

![](https://cdn.jsdelivr.net/gh/yzyyz1387/blogimages/nonebot_plugin_workscore.jpg)
agentlabs 0.1.0
agentlabs: A Python library for implementing agents on Weavel
Requires Python: >=3.7.1
Keywords: weavel,agent,llm,tools,agentlabs,llm agent

# Agentlabs

> Python library for implementing agents on [Weavel](https://weavel.vercel.app)

## Installation

```bash
pip install agentlabs
```

## Example Usage

```python
from agentlabs import Agent, InputType

agent = Agent()


@agent.service(
    id=3,
    name="blog_post",
    description="Given a keyword as input, this service generates a SEO-optimized blog post",
)
@agent.service_input(
    name="keyword",
    display_name="키워드",
    description="The keyword for which the blog post should be generated",
    type=InputType.TEXT,
    options=[
        "아로니아",
        "아로니아 농장",
    ],
)
@agent.service_input(
    name="post_length",
    display_name="글 길이",
    description="Desired length of the blog post",
    type=InputType.TEXT,
    placeholder="Medium",
    options=[
        "Short",
        "Medium",
        "Long",
    ],
)
async def generate_blog(keyword: str):
    await agent.aupdate_status("Generating blog outline...")
    await agent.aupdate_status("Writing post...")
    await agent.aupdate_status("Searching for images...")
    await agent.aupdate_status("Adding images to post...")
    await agent.aupdate_status("Generating title...")
    return {
        "blog": "블로그",
    }


if __name__ == "__main__":
    agent.run(token="5f2593e7-1a10-492e-a9c1-e7521d400e2b")

```