semvec/pypi-packages huggingface dataset:
arcfutil-cvkit 0.0.2
OpenCV related plugin for arcfutil
Requires Python: >=3.8

# arcfutil-cvkit

使用OpenCV的arcfutil AFF工具包

## 安装

```commandline
pip install arcfutil-cvkit
```
由于使用了native namespace package结构，在手动安装时请使用pip：

```commandline
pip install -e .
```

## 功能

- 图片转黑线（暂时只有这一个

## 用法

### 图片转黑线函数`image_to_arc()`

```python
from arcfutil.cv import image_to_arc as i2a

arcs = i2a(image_path, time)
```
#### 参数

|参数名|类型|说明|默认值|
|--|--|--|--|
|path|str|图片路径|
|time|int|生成黑线的时间点|
|size|list|接收一个带有4个浮点数的列表，控制图片映射的坐标范围（以原点为基准`[上,右,下,左]`）|`[1,1.5,-0.2,-0.5]`|
|max_gap|float|Hough变换中线之间的最大间隔，过大会导致线之间相连，过小会导致线之间缝隙增大|10|
Alpha-Vantage-API-Data 1.0.3
This is an Aplha_Vantage_API data retrieving package
Requires Python: >=3.6

# Alpha-Vantage-API-Data - Financial Data Retrieving

Alpha-Vantage-API-Data is a package for collecting stocks price and 
their related information.

Notice : Please go visit https://www.alphavantage.co/support/#api-key to get your own
free API key. 

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install Alpha-Vantage-API-Data.

```bash
pip install Alpha-Vantage-API-Data
```

## Example

```python
from Alpha_Vantage_API_Data import API_Data_Retrieves

# returns stock daily result 
StockTimeSeries = API_Data_Retrieves.StockTimeSeries(apikey)
daily_data = StockTimeSeries.GetDailyStockPrice("IBM")
print(daily_data)

# returns company information
FundamentalData = API_Data_Retrieves.FundamentalData(apikey)
stock_company_info = FundamentalData.CompanyInfo("AAPL")
print(stock_company_info)
```

Go to [Alpha_Vantage_API_Project Issues Page](https://github.com/codemakerss/Alpha_Vantage_API_Project/issues) to report any issues.

## Other

For more information, please visit [Alpha Vantage Official Page](https://www.alphavantage.co) and their 
[documents](https://www.alphavantage.co/documentation/).

## License
[MIT](https://choosealicense.com/licenses/mit/)
ase-grain 0.1.4
An async wrapper for ASE
Requires Python: >=3.6

# ASE-Grain

[![Docs](https://img.shields.io/badge/docs-read%20now-blue.svg)](https://ase-grain.readthedocs.io)
[![PyPI version](https://img.shields.io/pypi/v/ase-grain.svg)](https://pypi.org/project/ase-grain)

An async wrapper for [ASE](https://gitlab.com/ase/ase), adapting the calculators into Grain-compatible jobs.

### Supported calculators

* Gaussian
* Psi4
* ORCA
* Quantum Espresso

### Quickstart

```Bash
pip install ase-grain
```

Want to try out the tasklets without running a Grain mission? Easy:

```Python
from ase_grain import gautask, psi4task

from grain.subproc import subprocess_pool_scope
from grain import GVAR
from grain.resource import Node

import trio

async def main():
    async with subprocess_pool_scope(): # only needed for Psi4
        GVAR.res = Node(N=[0,1,2,3],M=1) # 4 processors, 1 GB memory
        e, f = await psi4task("test", "b3lyp/6-31++g(d,p)", 
        #e, f = await gautask("test", "b3lyp/6-31++g(d,p)",
            (0, 1),
            [[-4.546300, 0.811495, -1.302550],
             [-3.783370, 1.116810, -1.871810],
             [-3.418490, 0.344640, -2.321040]],
            [1, 8, 1], # a water molecule
        )
        print(e)
        print(f)

trio.run(main)
```

This also demonstrates that you can use `ASE-Grain` outside a Grain scheduler, more specifically, in any Trio-based async environment with Grain's context variables (`GVAR`).