semvec/pypi-packages huggingface dataset:
bjarkan-local 0.1.1
Automated cryptocurrency trading system with smart order routing
License: MIT
Requires Python: >=3.9

# Bjarkan Local

A local implementation of the Bjarkan Smart Order Router (SOR) system for personal trading.

## Features

- Real-time market data aggregation from multiple exchanges
- Fee-aware orderbook processing
- VWAP calculations
- Smart order routing and execution
- Trade monitoring and filtering

## Installation

```bash
pip install -r requirements.txt
```

## Configuration

1. Create a `.env` file with your BetterStack token:
```
BETTERSTACK_TOKEN=your_token_here
```

2. Use the sample configurations in `instructions.py` as templates for your setup.

## Usage

```python
import asyncio
from bjarkan_local import OrderbookData, TradesData, OrderExecutor
from bjarkan_local.models import OrderbookConfig, TradesConfig, OrderConfig, APIConfig

# See instructions.py for configuration examples
async def main():
    # Initialize your configurations
    orderbook_config = OrderbookConfig(...)
    trades_config = TradesConfig(...)
    api_configs = [APIConfig(...)]

    # Initialize components
    orderbook_data = OrderbookData(orderbook_config)
    trades_data = TradesData(trades_config)
    executor = OrderExecutor(orderbook_config, api_configs)

    # Start data collection
    await orderbook_data.start()
    await trades_data.start()

    # Execute orders
    result = await executor.execute_order(order_config)

if __name__ == "__main__":
    asyncio.run(main())
```

## License

Private use only.
mpfd 0.6.0
A decorator that makes a function into a parallel processor using multithreading.
License: MIT
Requires Python: >=3.8

# mpfd - Make Parallel Function Decorator

`mpfd` is a simple Python package that provides a decorator, `make_parallel`, which allows you to make a function run in parallel using multithreading. This is built on top of Python's `concurrent.futures` module.

## Installation

Install the package via pip :

```bash
pip install mpfd
```

## Usage

To use the ```make_parallel``` decorator :

```python
from mpfd import make_parallel

@make_parallel
def my_function(param):
    print(param)

my_function(
    [
        "Hello, parallel world!1",
        "Hello, parallel world!2",
        "Hello, parallel world!3",
        "Hello, parallel world!4",
        "Hello, parallel world!5",
        "Hello, parallel world!6",
        "Hello, parallel world!7",
        "Hello, parallel world!8",
        "Hello, parallel world!9",
        "Hello, parallel world!10"
    ]
)
```

This will execute ```my_function``` in parallel using multithreading.
sales-analyzer123 0.1.0
Это Python-пакет, который помогает быстро и легко анализировать данные о продажах, полученные из CSV-файла.
License: MIT
Requires Python: >=3.8

# sales_analyzer123

## Описание

Это Python-пакет, который помогает быстро и легко анализировать данные о продажах, полученные из CSV-файла.

## Установка и использование

```bash
pip install sales_analyzer123
flask_simplelogin 0.2.0
Flask Simple Login - Login Extension for Flask
License: MIT
Requires Python: <4,>=3.8

[![GitHub Actions](https://img.shields.io/github/actions/workflow/status/flask-extensions/Flask-SimpleLogin/tests.yaml?branch=main&style=flat-square)](https://github.com/flask-extensions/Flask-SimpleLogin/actions/workflows/tests.yml)
[![PyPI](https://img.shields.io/pypi/v/flask_simplelogin.svg?style=flat-square)](https://pypi.org/project/flask_simplelogin/)
[![PyPI versions](https://img.shields.io/pypi/pyversions/flask_simplelogin.svg?style=flat-square)](https://pypi.org/project/flask_simplelogin/)
[![PyPI formats](https://img.shields.io/pypi/format/flask_simplelogin.svg?style=flat-square)](https://pypi.org/project/flask_simplelogin/)
[![Flask](https://img.shields.io/badge/Flask-Extension-blue.svg?style=flat-square)](https://github.com/pallets/flask)
[![Documentation](https://img.shields.io/readthedocs/flask-simple-login?style=flat-square)](https://flask-simple-login.readthedocs.io/en/latest/?badge=latest)

# Login Extension for Flask

The simplest way to add login to flask!

## How it works

First, install it from [PyPI](https://pypi.org/project/flask_simplelogin/):

```console
$ pip install flask_simplelogin
```

Then, use it in your app:

```python
from flask import Flask
from flask_simplelogin import SimpleLogin

app = Flask(__name__)
SimpleLogin(app)
```

## **That's it!**

Now you have `/login` and `/logout` routes in your application.

The username defaults to `admin` and the password defaults to `secret` — yeah that's not clever, check the [docs](https://flask-simple-login.readthedocs.io/en/latest/?badge=latest) to see how to configure it properly!

![Login Screen](./login_screen.png)

Check the [documentation](https://flask-simple-login.readthedocs.io/en/latest/?badge=latest) for more details!
transaction-analyzer123 0.1.0
Это простой Python-пакет, который анализирует данные о транзакциях из CSV-файла и генерирует отчет с суммами по категориям.
License: MIT
Requires Python: >=3.8

# transaction_analyzer123

## Описание

Это простой Python-пакет, который анализирует данные о транзакциях из CSV-файла и генерирует отчет с суммами по категориям

## Установка и использование

```bash
pip install transaction_analyzer123
nonebot-plugin-FurIllustrated 1.4.0
基于NoneBot2进行适配的毛毛图鉴插件
License: MIT
Requires Python: >=3.9

<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-FurIllustrated

_✨ 兽云祭官方API插件 ✨_

</a>
<a href="https://github.com/Ekac00/nonebot-plugin-RanFurryPic/blob/main/LICENSE">
    <img src="https://img.shields.io/github/license/Ekac00/nonebot-plugin-RanFurryPic.svg" alt="license">
</a>
<a href="https://pypi.python.org/pypi/nonebot-plugin-RanFurryPic">
    <img src="https://img.shields.io/pypi/v/nonebot-plugin-RanFurryPic.svg" alt="pypi">
</a>
<img src="https://img.shields.io/badge/python-3.9+-blue.svg" alt="python">

</div>

基于NoneBot2进行适配的FURRY图鉴（毛图，插画）插件

## 📖 介绍

本插件使用官方<a href="https://console-docs.apipost.cn/preview/6bf01cfebd3e5f96/c4e20a5d1a5db86c?target_id=83fb4f89-221c-4196-bb85-4abf73af73af"> API </a>进行编写，集成了随机兽图，名称查询，id查询，图片信息查询等一系列的吸毛功能。安装即用！！
如果你有兽云祭账号可以按照要求填入配置项来使用涉及账户操作相关功能。
若本插件存在bug请及时反馈~
目前只支持 onebotV11 暂时还未上传nonebot商店

## 💿 安装

<details open>
<summary>使用 nb-cli 安装（推荐）</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-FurIllustrated
```

</details>

<details>
<summary>使用PIP安装</summary>
在 nonebot2 项目的插件目录下, 打开命令行, 输入安装命令

```
pip install nonebot-plugin-FurIllustrated
```

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-FurIllustrated"]
```

</details>

## ⚙️ 配置

在 nonebot2 项目的`.env`文件中添加下表中的配置，不填任何配置则自动使用默认账户

```
# 你的兽云祭账户
syj_account = 账户
# 你的兽云祭密码
suj_password = 密码
# 令牌模式的token
image_token = 令牌
# 你的令牌用户名
image_token_user = "用户名"
# 你的令牌密码
image_token_key = "密码"
```

## 🎉 使用

### 指令表

|    指令    | 权限 |   是否需要参数   |            说明            |
| :--------: | :--: | :---------------: | :-------------------------: |
|  随机兽图  | 群员 |        否        |      随机获取一张兽图      |
|    来只    | 群员 | 可用sid或毛毛名字 |     根据名字或id搜图片     |
|   来只毛   | 群员 |  可空也可带名字  |       根据名字搜毛图       |
|   来只兽   | 群员 |  可空也可带名字  |      根据名字搜设定图      |
|   查sid   | 群员 |    需要纯数字    | 根据关键字查询图片的sid列表 |
|  兽云搜索  | 群员 |    需要纯数字    |      查看此sid图片详情      |
| 兽云祭信息 | 群员 |        否        |      根据名字搜设定图      |

## 插件完成度

目前进度:

- [x] 随机毛图
- [x] 指定图片查询
- [x] 服务状态查询
- [x] 登录模块（自动登录）
- [ ] 上传图片
- [ ] 用户图片管理