semvec/pypi-packages huggingface dataset:
Aplicacion-ventas-moncada 0.1.0
Paquete para gestionar ventas, precios, impuestos y descuentos
Requires Python: >=3.6

# Aplicacion de Ventas:

Este paquete proporciona funcionalidades para gestionar ventas,
incluyendo calculos de precios, impuestos y descuentos.

## Instalacion

Puedes Instalar el Paquete usando:

´´´´bash
pip install .
"
nonebot-plugin-image-summary 0.1.5
NoneBot2 插件：拦截所有图片消息并注入摘要/外显文本。
Requires Python: >=3.8
Keywords: image, nonebot2, plugin, summary

# nonebot-plugin-image-summary

<p><img src="https://img.shields.io/badge/NoneBot-v2-red.svg"> <img src="https://img.shields.io/badge/python-3.8+-blue.svg"> <img src="https://img.shields.io/badge/plugin-nonebot_plugin_image_summary-yellow.svg"></p> </div>

# 📖 简介
NoneBot2 图片外显更改

这是一个能够拦截Nonebot2发送的所有图片消息，并自动在图片下方注入 summary（外显）字段的插件。

支持API 获取和本地文案两种模式，且拥有群白名单管理机制。

# 💿 安装
1.使用nb安装
```
#进入你的nb文件夹
nb plugin install nonebot-plugin-image-summary
```
2.使用pip
```
#进入你的nb文件夹
pip install nonebot-plugin-image-summary
```
确保目录结构正确：
```
lib/python3.11/site-packages/nonebot_plugin_image_summary/
├── __init__.py
├── config.py
└── data_manager.py
```


并且到`pyproject.toml`中添加代码
```
plugins =["nonebot_plugin_image_summary"]
```
# ⚙️ 配置
在 `.env` 或 `.env.prod` 中添加以下配置（可选）：

 配置项 | 类型 | 默认值 | 说明
 ----- | ---- | ---- | ----
 IMAGE_SUMMARY_APIS | List[str] | (见下方) | 获取外显文案的 API 列表，插件会随机抽取一个请求。
 IMAGE_SUMMARY_DEBUG | bool | False | 是否开启调试模式，开启后控制台会输出详细的 API 请求和注入日志。

默认 API 列表：
```
[
  "https://v1.hitokoto.cn/?encode=text",
  "https://api.shadiao.pro/du",
  "https://api.shadiao.pro/chp"
]
```
# 🎮 使用指令
以下指令仅 **超级用户** 或 **群主**  可用。

指令 | 格式 | 说明
---- | ---- | ----
开启外显| `开启外显 [群号]` | 开启当前群（或指定群）的图片外显功能。
关闭外显 |`关闭外显 [群号]`|关闭当前群（或指定群）的图片外显功能。
切换外显源|`切换外显源`|在 `local` (本地库) 和 `api` (网络接口) 模式之间切换。
外显列表|`外显列表`|查看当前模式及本地文案库的前 50 条预览。
添加外显|`添加外显 <内容>`|向本地文案库添加一条新内容。
删除外显|`删除外显 <内容>`|从本地文案库删除指定内容。

**提示**：插件默认对所有群关闭，必须手动开启才会生效。

# 📂 数据存储

插件的数据（白名单群号、本地文案、当前模式）保存在机器人运行目录下的： `data/image_summary/data.json`

你可以手动编辑该文件，修改后无需重启，下一次指令调用或消息发送时会自动读取最新数据。

# 特别感谢
[astrbot_plugin_image_summary](https://github.com/Zhalslar/astrbot_plugin_image_summary)
czo 0.3.2
构建测试数据的工具包
Requires Python: >=3.10

# 测试工具库 czo

用于快速构造测试数据与常用辅助函数（时间、随机、网络、路径、假数据）。

## 安装

```bash
pip install czo
```

## 快速上手

```python
from czo import Rand, Faker, DateTime, Net, Paths

Rand.random_str(12)              # 随机字符串
Rand.random_email()              # 随机邮箱
Rand.random_url()                # 随机 URL

DateTime.parse_iso8601("2024-01-01T00:00:00Z")  # 解析 ISO8601
DateTime.to_timezone("2024-01-01T00:00:00Z", 8) # 转换时区

Net.generate_ip_list(3)          # 生成 IPv4 列表
Net.ip_in_range("192.168.1.1", "192.168.1.0/24")

faker = Faker()
faker.profile(zh=True)           # 随机中文个人档案
```

## 开发与测试

```bash
python -m venv .venv && .\.venv\Scripts\activate  # Windows
pip install -r requirements.txt
python -m pytest
```

## 目录结构

- `src/czo/utils/` 核心工具（时间、随机、网络、路径、假数据等）
- `src/czo/data/` 内置数据集（地址、学校、车牌等）
- `tests/` pytest 用例
open-terminalui 0.0.3
Terminal UI application for interacting with local LLMs via ollama.
Requires Python: >=3.11

# open-terminalui

[![PyPI - Version](https://img.shields.io/pypi/v/open-terminalui.svg)](https://pypi.org/project/open-terminalui)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/open-terminalui.svg)](https://pypi.org/project/open-terminalui)

![open-terminalui screenshot](artifacts/open-terminalui.png)

-----

**open-terminalui** is a modern terminal-based user interface for interacting with local LLMs powered by Ollama. It provides an intuitive chat interface with document management, vector search capabilities, and a clean, responsive design built with Textual.

## Table of Contents

- [Installation](#installation)
  - [Prerequisites](#prerequisites)
- [Development](#development)
- [License](#license)

## Installation

### Prerequisites

`open-terminalui` requires Ollama to run local LLMs. Follow these steps to set up your environment:

#### 1. Install Ollama

Visit [https://ollama.ai](https://ollama.ai) and download Ollama for your operating system, or use the following commands:

**macOS:**
```bash
brew install ollama
```

**Linux:**
```bash
curl -fsSL https://ollama.ai/install.sh | sh
```

**Windows:**
Download the installer from [https://ollama.ai/download](https://ollama.ai/download)

#### 2. Pull the Llama 3.2 Model

After installing Ollama, pull the llama3.2 model:

```bash
ollama pull llama3.2
```

#### 3. Start Ollama

Start the Ollama service:

```bash
ollama serve
```

Note: On macOS and Windows, Ollama typically starts automatically. On Linux, you may need to run this command or set it up as a service.

#### 4. Install open-terminalui

Install `open-terminalui` using pipx:

```bash
pipx install open-terminalui
```

If you don't have pipx installed, you can install it with:

```bash
# macOS
brew install pipx
pipx ensurepath

# Linux
python3 -m pip install --user pipx
python3 -m pipx ensurepath

# Windows
python -m pip install --user pipx
python -m pipx ensurepath
```

#### 5. Run open-terminalui

Launch the application:

```bash
open-terminalui
```

The terminal UI will start and connect to your local Ollama instance running llama3.2.

## Development

### Installation

```bash
uv sync
```

### Testing

```bash
textual run --dev open_terminalui.entry_points:app
```

In a seperate console
```bash
textual console  # All logs
textual console -x SYSTEM -x EVENT -x DEBUG -x INFO # Minimal logs
```

## License

`open-terminalui` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
canvasAcademicAnalyzer 0.1.0
An example package
Requires Python: >=3.8

# Canvas Academic Insights

This package retrieves grade data from Canvas and provides visualizations and AI feedback.

## Description
Canvas Academic Insights is a Python package designed for comprehensive analysis and visualizations of academic performance metrics obtained from UBC's Canvas website via an API token. This package cleans and organizes raw data safely and generates multiple visual representations of academic performance across courses and over time. This package also provides AI-generated feedback, providing high-level interpretations of grade trends and constructing a weekly study plan for the student.

## Getting Started

### Dependencies
- `canvasapi`
- `numpy`
- `matplotlib`
- `ollama`

### Executing Program
Start the Ollama service for AI feedback; otherwise, AI feedback might be unavailable. Get your Canvas URL and token from UBC's website and enter them when prompted. There will be a prompt to obtain either AI feedback or a visualization of a course from this package; either enter `ai` or `visual`. If `ai` is entered, then an AI-generated summary of academic performance will be provided. If `visual` is selected, an additional prompt for a specific course index will be asked, which starts from 0 and ends at $n-1$, with $n$ being the number of courses obtained from the API. Once entered, visuals for overall academic performance will be produced, as well as course-specific visuals for the course index used.

## Authors
Yue Wang  
Richard  Hua  
Jordan Kaseram 

## Version History
- 0.1
    - Initial Release
py-desmume 0.0.9
Python library to interface with DeSmuME, the Nintendo DS emulator + sample GTK-based frontend
Requires Python: >=3.7

py-desmume
==========

|build| |docs| |pypi-version| |pypi-downloads| |pypi-license| |pypi-pyversions|

.. |build| image:: https://img.shields.io/github/actions/workflow/status/SkyTemple/py-desmume/build-test-publish.yml
    :target: https://pypi.org/project/skytemple-ssb-emulator/
    :alt: Build Status

.. |docs| image:: https://readthedocs.org/projects/py-desmume/badge/?version=latest
    :target: https://py-desmume.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status

.. |pypi-version| image:: https://img.shields.io/pypi/v/py-desmume
    :target: https://pypi.org/project/py-desmume/
    :alt: Version

.. |pypi-downloads| image:: https://img.shields.io/pypi/dm/py-desmume
    :target: https://pypi.org/project/py-desmume/
    :alt: Downloads

.. |pypi-license| image:: https://img.shields.io/pypi/l/py-desmume
    :alt: License (GPLv3)

.. |pypi-pyversions| image:: https://img.shields.io/pypi/pyversions/py-desmume
    :alt: Supported Python versions

A Python library for DeSmuME, the Nintendo DS library.

- Library to interface with DeSmuME's "interface" frontend.
- Reimplementation of the DeSmuME Glade-GTK UI with GTK3.

Running the setup.py (eg. via pip) compiles the library from the fork. Wheels are available
for Linux, Windows and MacOS.

Documentation can be found in the ``docs`` directory and at
https://py-desmume.readthedocs.org.

Build Requirements
------------------

**For using pre-built wheels (recommended):**

Simply install via pip - all dependencies are included.

**For building from source:**

Linux:

- SDL2 >= 2.0.14 (for full game controller support including touchpad features)
- Other dependencies: zlib, libpcap, soundtouch, openal-soft, glib2, meson

macOS:

- Install via Homebrew: ``brew install sdl2 meson glib gcc``

Windows:

- Visual Studio 2019 or later
- SDL2 is included in the repository