semvec/pypi-packages huggingface dataset:
nonebot-plugin-haha-ask 1.0.0
A plugin based on NoneBot2 to query travel information and distance between the two places.
Requires Python: >=3.7

# nonebot_plugin_haha_ask

一个基于NoneBot2的插件，用于查询哈哈出行信息和两地之间的距离

A plugin based on NoneBot2 to query travel information and distance between the two places

安装方式:
pip install nonebot_plugin_haha_ask

命令

askhh = on_command('askhh', aliases={'查询'})

指令，0旧数据块但不保证时效，1时时新数据慢但保证时效,已默认排除紫荆山。\n查询地点，为0时查询排除紫荆山后所有信息。出发地。目的地\n请稍等2s到8s...

askdis1 = on_command('dis1', aliases={'距离1'})

返回距离默认地址距离，例子：北京 若不精确则可能返回其他地方的距离

askdis2 = on_command('dis2', aliases={'距离2'})

前后两地距离地，例子：郑州。北京 若不精确则可能返回其他地方的距离
Topsis-Jai-101903156 0.1.1
Topsis score calculator
Keywords: python,topsis,101903156,JaiSinghBatth

TOPSIS is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method.Include the module at the top of your python code as follows:from Topsis_Jai_101903156.topsis import *.Then use the function topsis_score('csv path or filename if the code and dataset are in the same directory','comma separated weights','comma separated impacts','name_of_result_file.csv').Run the code and you will get a csv file as your result containing topsis score and ranks. You can also run from command line.Add another library as 'import sys' in your python code and write the function as follows:Topsis_score(sys.argv[1],sys.argv[2],sys.argv[3],sys.argv[4]) and provide arguments in the terminal as the following sample: 'python3 test.py data.csv '0.25,0.25,0.25,5' '-,+,+,-' 'result.csv' '
Topsis-Divyansh-101903438 0.0.1
topsis implementation
Requires Python: >=3.6

#Topsis Package
A Python package to implement topsis on a given dataset.
##Usage
Following query on terminal will provide you the best and worst decisions for the dataset.

```
python 101903438.py 101903438.csv "1,1,1,1" "+,+,-,+" resultFileName.csv
```