semvec/pypi-packages huggingface dataset:
TOPSIS-GIRIK 1.1.0
A Python package to find TOPSIS for multi-criteria decision analysis method
License: MIT
Keywords: topsis,UCS654,TIET

Topsis Value Calculator

TopsisCalc is a Python package implementing Topsis method, used for multi-criteria decision analysis.

TOPSIS stands for Technique for Order of Preference by Similarity to Ideal Solution

Just provide the input attributes and it will gives the results 


## Installation

$ pip install TOPSIS-GIRIK==1.1.0

In the commandline, you can write as -
    $ python <package_name> <path to input_data_file_name> <weights as strings> <impacts as strings> <result_file_name>

E.g for input data file as data.csv, command will be like
    $ python topsis.py data.csv "1,1,1,1" "+,+,-,+" output.csv

This will print all the output attribute values along with the Rank column, in a tabular format

License -> MIT

Change Log
==========

1.1.0 (17/01/2023)
------------------
- First Release
TOPSIS-102003178 0.0.1
A Python package to find TOPSIS for multi-criteria decision analysis method
License: MIT
Keywords: topsis,UCS654,TIET

Topsis Value Calculator

TopsisCalc is a Python package implementing Topsis method, used for multi-criteria decision analysis.

TOPSIS stands for Technique for Order of Preference by Similarity to Ideal Solution

Just provide the input attributes and it will gives the results 


## Installation

$ pip install TOPSIS-102003178==0.0.1

In the commandline, you can write as -
    $ python <package_name> <path to input_data_file_name> <weights as strings> <impacts as strings> <result_file_name>

E.g for input data file as data.csv, command will be like
    $ python topsis.py data.csv "1,1,1,1" "+,+,-,+" output.csv

This will print all the output attribute values along with the Rank column, in a tabular format

License -> MIT

Change Log
==========

0.0.1 (17/11/2023)
------------------
- First Release
autowalk 1.4.1
Configurable tool of bulking build path for AutoJump and Ranger
License: MIT
Requires Python: >=3.6

# autowalk
Configurable tool of bulking build path for AutoJump and Ranger.
There are `2` main usage you can choose:
- 馃殌 **[ranger](https://github.com/ranger/ranger)** users: you can bulk build jump remap strings for your file system directories that you had set in autowalk configuration file.
- 馃殌 **[autojump](https://github.com/wting/autojump)** users: you can also bulk increase | decrease | clear | list | clean autojump weights for your file system directories that you had set in autowalk configuration file.

## Requirements
You need to have the following:
- 馃敟 **Python3.6 +**
- 馃殌 **[autojump](https://github.com/wting/autojump)** (Optional: If you only use Ranger to generate remap, you don't need to install it).

## Installing
[馃殌PyPI => AutoWalk ](https://pypi.org/project/autowalk/): 

- you can use `pip` to install it directly:

```shell
pip install autowalk
```

## USAGE
For convenience, command:  `aw`:
```shell
aw -h
```
More details [馃殌Github => AutoWalk](https://github.com/linusic/autowalk)