semvec/pypi-packages huggingface dataset:
lkops 0.1.0
Easy ops.
Requires Python: >=3.8,<4.0

# lk_ops

## statement

- The implementation of some open source **operators**, **modules** and **losses** is based on the principle of out of the box. 

- Each implementation should be attached with **application examples**, **sources** and **general principle descriptions**.

## structure

- conn
  - _redis.py: redis连接池示例
  - _mysql.py: 
    1. mysql单连接，查询，插入，更新，执行
    2. mysql连接池 执行
  - _neo4j.py: neo4j连接，执行cypher
- encode
  - relative_position_representation.py: torch相对位置编码
- tools
  - _threadpool.py: 线程池，异步机制
  - _count_neo4j.py: 图谱数据统计
  - _ecg_api_count.py: ecg调用统计
  - _export_kg_data_to_yml.py:: 导出图谱食材食谱数据到yml
  - modules.py: 计时装饰器, json number Encoder
- utils
  - Logger.py: devops logger配置


## Records
2022.11.07 14:03 update Logger.py
2022.11.09 17:52 定时任务
2022年12月26日18:14:01 更新发布方式
2022年12月27日18:15:31 poetry 测试

## release
### pypi auth

u: ticoAg

p: 19990523ONLY

### release command
1. 修改版本号
2. 执行
```shell
python setup.py bdist_wheel sdist
twine upload dist/* --verbose
```


注：具体用到的tool依赖需要在实际项目中声明安装，处于精简考虑 发布的lkops不做任何依赖绑定
spatdapy 0.0.5
Streamlining Spatial Analyses of Cicular Data Set of Properties
Keywords: python,spatial,alalysis,MSCG,stadium,Michigan Sports Consulting Group

# **spatial.py**
  
  This Library is intended to assist with SPATIAL ANALYSES For purposes of this library, a SPATIAL ANALYSIS is defined as the ANALYSIS of PROPERTIES SURROUNDING a CENTRAL LOCATION via their PROPERTY VALUE and STRAIGHT LINE DISTANCE (SLD) to the CENTRAL LOCATION within a RADIUS OF INTEREST.
## To utilize this library, a CSV FILE is required
* The file MUST be a database CONTAINING PROPERTY ADDRESSES and PROPERTY VALUES
* The file MUST be organized into TWO COLUMNS with the above data
  * These columns MUST HAVE NAMES contained in the first cell - this is how we traverse with PANDAS
##  To utilize this library GEOPANDAS, GEOPY, and HAVERSINE MUST be INSTALLED
* Either local installation or Google Colab installation via '!pip install #library name#'
## Notes on organization of spatial.py file
* The comments throughout this file explain the purpose of each function via REQUIRES, MODIFIES, and EFFECT (RME) clauses and occasional notes
*  This LIBRARY is organized via a CLASS called !!SpatialAnalysis!!. This was the best way I could think to organize all the data with abstraction
  *  Meaning a class instance MUST be declared to make calls to the functions
  *  READ the COMMENTS above !!def __init__!! to understand how to declare an instance of the class
  
 # Autors Note
 This library was a passion project made for purposes of streamlining work that the Michigan Sports Consulting Group (MSCG) at the University of Michigan does for Economic Analysis Reports. By uploading this, I hope that this work for MSCG will have an impact that outlasts my time in the club. I also hope others find use of this library. 
 
Best,
Jacob Brinkmann
 https://www.linkedin.com/in/jacob-brinkmann-567438206/