semvec/pypi-packages huggingface dataset:
absurdia 0.0.6
Python bindings for the Absurdia API
License: MIT
Requires Python: >=3.4, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*
Keywords: absurdia api trading

# Official Absurdia Bindings for Python
![PyPI](https://img.shields.io/pypi/v/absurdia?style=flat-square)

A Python library for Absurdia's API.

## Install

You can install this package by using the pip tool and installing:

    $ pip install absurdia


## Signing up to Absurdia backtesting

Sign up for Absurdia at https://app.absurdia.markets/signup.

## Using the the package

Create a new agent in (your dashboard)[https://app.absurdia.markets/agents] and 
download the credential file. Use the agent token with the client as in the example blow.

```python
from absurdia import Client

# Create client
client = Client('<Your Agent Token>')

# Get your account
account = client.accounts.current()
```

Alternatively, use the environment variable `ABSURDIA_TOKEN`, or put the credential file in the same directory as your Python script.

## Import a Freqtrade backtest

Freqtrade backtests are run using its CLI. This Python library also comes with a CLI that can work together with Freqtrade's commands. First, add a token to authenticate your agent:

```shell
$ absurdia login --token '<Your Agent Token>'
```

Once authenicated, simply append `absurdia backtest --` to your Freqtrade backtesting command. For example:

```shell
$ absurdia backtest --freqtrade backtesting --strategy AwesomeStrategy --timeframe 1m
```

## License

Licensed under the BSD 3 license, see [LICENSE](LICENSE).
lucid3 3.0.0
Optical loop finding
License: MIT
Requires Python: >=3.7

lucid3: Loop and uCrystals identification version 3
===================================================

Authors: Olof Svensson and Sogeti

lucid3 is a computer vision Python library that detects
crystallography samples holders.

mxCuBE relies lucid3 to provide automatic centring.

Dependencies:
- python >= 3.5
- opencv >= 2.4

## Development

Install from source

```bash
python -m pip install -e .[dev]
```

Run tests

```bash
pytest
```

Launch lucid3 from the command line

```
lucid3 -h
usage: lucid3 [-h] [--vertical] [--display] [--create_result_file] [--result_directory RESULT_DIRECTORY] [--debug] snapshot_file_path

Application for finding loop in diffractometer snapshot of sample

required arguments:
  snapshot_file_path    Path to snapshot jpg/png file

optional arguments:
  --vertical            Vertical rotation axis
  --display             Display snapshot with result
  --create_result_file  Create an image file with result
  --result_directory RESULT_DIRECTORY
                        Directory to where store result file (default cwd)
  --debug               Display snapshot with all intermediate steps and with result
```
mini-six 0.1.10
A cross-platform, highly scalable, maintainable, machine-aware, machine-aware, limited state machine framework.
License: MIT
Requires Python: >=3.7,<4.0

# SIX
![image](https://img.shields.io/badge/python-3.7-blue)
![image](https://img.shields.io/badge/opencv-4.4.0.46-brightgreen)
![image](https://img.shields.io/badge/numpy-1.21-red)
![image](https://img.shields.io/badge/windows-10-informational)
## 这是什么
SIX 是一个跨平台的、可扩展性高、可维护性强的基于机器感知的有限状态机框架。本项目原则为“精简至上”，尽量使用python原生库以保证本项目的可扩展性。
## 安装
```shell
pip install mini-six
```
## 使用
本项目提供插件开发接口，详细操作请见[操作文档](doc/manual-zh-cn.md)。
## 开发任务
因为该项目仍处在起步阶段，所以必要时候会对框架做出调整，作者会尽量以兼容的形式做出这些必要的调整。
### core（当前主要开发任务）
- [x] 完成 Observer 和 Actor 的订阅者框架搭建，将图片帧的输入与对图片的操作解耦；
- [x] 完成 Analyzer 基类的构建，使开发者专注对图片帧的分析操作，增加分析代码的复用度；
- [x] 优化订阅者框架的接口，方便插件开发者定义 Action；
- [x] 删除 Analyzer，简化 core 代码，同时增加插件开发者的开发自由度；
- [x] 构建全局配置和局部配置系统
- [x] 构建插件系统
- [x] 优化插件导入接口
- [x] 实现定时 Action
- [x] 实现静态配置设置与导入接口
- [x] 增加日志打印
- [x] 编写操作文档
- [ ] 适配 Linux 平台
- [ ] 适配嵌入式设备
### plugin（陆续开发）
- [ ] 图像识别模型接口插件
- [ ] 强化学习模型接口插件