semvec/pypi-packages huggingface dataset:
pcats-api-client 1.1.1
PCATS REST API Client
License: MIT

PCATS: Bayesian Causal Inference for General Type of Treatment

The PCATS application programming interface (API) implements two Bayesian's non parametric causal inference modeling, Bayesian's Gaussian process regression and Bayesian additive regression tree, and provides estimates of averaged causal treatment (ATE) and conditional averaged causal treatment (CATE) for adaptive or non-adaptive treatment. The API is able to handle general types of treatment - binary, multilevel, continuous and their combinations, as well as general type of outcomes including bounded summary scores such as health related quality of life and survival outcomes. In addition, the API is able to deal with missing data using user supplied multiply imputed missing data. Summary tables and interactive figures of the results are generated and downloadable.
nonebot-plugin-helltide 0.1.7
Diablo 4 Helltide Event Tracker work with nonebot2
License: MIT
Requires Python: >=3.8

<div align="center">
  <a href="https://v2.nonebot.dev/store"><img src="https://github.com/A-kirami/nonebot-plugin-template/blob/resources/nbp_logo.png" width="180" height="180" alt="NoneBotPluginLogo"></a>
  <br>
  <p><img src="https://github.com/A-kirami/nonebot-plugin-template/blob/resources/NoneBotPlugin.svg" width="240" alt="NoneBotPluginText"></p>
</div>

<div align="center">

# nonebot-plugin-helltide

_✨ 一个Diablo4的helltide和世界boss的提醒小助手 ✨_


<a href="./LICENSE">
    <img src="https://img.shields.io/github/license/qbkira/nonebot-plugin-helltide.svg" alt="license">
</a>
<a href="https://pypi.python.org/pypi/nonebot-plugin-helltide">
    <img src="https://img.shields.io/pypi/v/nonebot-plugin-helltide.svg" alt="pypi">
</a>
<img src="https://img.shields.io/badge/python-3.8+-blue.svg" alt="python">

</div>

## 📖 介绍

添加机器人到群聊中，订阅之后在群里会提醒订阅Boss刷新，地狱狂潮提醒，（还有军团的刷新时间）

## 💿 安装

<details>
<summary>使用 nb-cli 安装</summary>
在 nonebot2 项目的根目录下打开命令行, 输入以下指令即可安装

    nb plugin install nonebot-plugin-helltide

</details>

<details>
<summary>使用包管理器安装</summary>
在 nonebot2 项目的插件目录下, 打开命令行, 根据你使用的包管理器, 输入相应的安装命令

<details>
<summary>pip</summary>

    pip install nonebot-plugin-helltide
</details>
<details>
<summary>pdm</summary>

    pdm add nonebot-plugin-helltide
</details>
<details>
<summary>poetry</summary>

    poetry add nonebot-plugin-helltide
</details>
<details>
<summary>conda</summary>

    conda install nonebot-plugin-helltide
</details>

打开 nonebot2 项目根目录下的 `pyproject.toml` 文件, 在 `[tool.nonebot]` 部分追加写入

    plugins = ["nonebot_plugin_helltide"]

</details>

## ⚙️ 配置

在 nonebot2 项目的`.env`文件中添加下表中的必填配置

| 配置项 | 必填 | 默认值 | 说明 |
|:-----:|:----:|:----:|:----:|
| event_check_interval | 否 | 1 | 每隔1分钟检查一下 |

## 🎉 使用
### 指令表
| 指令 | 权限 | 需要@ | 范围 | 说明 |
|:-----:|:----:|:----:|:----:|:----:|
| d4 | 群员 | 是 | 群聊 | 查询 Diablo4 事件信息 |
| d4订阅 | 群员 | 是 | 群聊 | 订阅 Diablo4 定时消息提醒 |
| d4取消订阅 | 群员 | 是 | 群聊 | 取消订阅 Diablo4 定时消息提醒 |
| d4查询订阅 | 群员 | 是 | 群聊 | 查询当前订阅 Diablo4 定时消息提醒的用户 |
| d4帮助 | 群员 | 是 | 群聊 | 显示帮助信息 |
boxfish 0.1.2
A lightweight tool for table extraction from HTML pages.
License: MIT
Requires Python: >=3.6
Keywords: beautifulsoup html pandas scraping tables

<img src="boxfish.svg" width="100%" alt="">

# boxfish: lightweight table extraction from HTML

[![PyPI](https://img.shields.io/pypi/v/boxfish)](https://img.shields.io/pypi/v/boxfish)
[![PyPI - Status](https://img.shields.io/pypi/status/boxfish)](https://img.shields.io/pypi/status/boxfish)
[![PyPI - License](https://img.shields.io/pypi/l/boxfish)](https://img.shields.io/pypi/l/boxfish)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/boxfish)](https://img.shields.io/pypi/pyversions/boxfish)

[![GitHub top language](https://img.shields.io/github/languages/top/peterkorteweg/boxfish)](https://img.shields.io/github/languages/top/peterkorteweg/boxfish)
[![Code Style](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

### What is it?
Boxfish is a lightweight tool for table extraction from HTML pages. 

### Main features

- Easy configuration. No knowledge of CSS or Xpaths required.
- Fast table extraction to CSV files.
- Integration of `requests` and `selenium`.

### Quick start


``` python
import boxfish as bf
import pandas as pd

# Define table layout of an url with strings from two rows.
aurl = ""
row1 = ""
row2 = ""

# Build a configuration 
aconfig = bf.build(url=aurl, rows = [row1, row2])

# Extract a table
data = bf.extract(aconfig, url=aurl)

# View results
df = pd.DataFrame(data)
df.head() 
```

### Where to get it?
Boxfish is available on [Pypi](https://pypi.org/project/boxfish/) and [Github](https://github.com/peterkorteweg/boxfish/).

```
pip install boxfish
```

### Dependencies

The main dependencies are:
- [**BeautifulSoup4**](https://pypi.org/project/beautifulsoup4/), a Python library for pulling data out of HTML and XML files.
- [**lxml**](https://pypi.org/project/lxml/), a powerful and Pythonic XML processing library.
- [**Requests**](https://pypi.org/project/requests/), a simple, yet elegant, HTTP library.
- [**Selenium**](https://pypi.org/project/selenium/), automated web browser interaction from Python.


### License
Boxfish is available with an [MIT license](https://github.com/peterkorteweg/boxfish/blob/main/LICENSE).

### Limitations

Boxfish extracts text from HTML. To see if the HTML file contains the
text of interest, open the page in a browser, then access the HTML in the developer tools via 
<kbd>Cntrl</kbd>+<kbd>Shift</kbd>+ <kbd>I</kbd>.

### Documentation

Full documentation is available [here](https://github.com/peterkorteweg/boxfish/blob/main/Documentation.md).