semvec/pypi-packages huggingface dataset:
Topsis-Tarush-102083060 0.0.4
Topsis Package
Keywords: python,topsis,thapar,Prdictive-Analysis,102083060

# Topsis
Topsis-Tarush-102083060 is a python package to implement Multiple criteria decision making (MCDM) using TOPSIS. It takes data, calculates topsis score and ranks the data according to the score.

## Installation
Run the following command in the terminal to install the package:<br />
```pip install Topsis-Tarush-102083060```

## Importing and Using in Source File
Run the following commands to import the package into your python file:<br />
```
topsis = __import__('Topsis-Tarush-102083060')
topsis.main()
```
## How to get Output File
To get the output file with topsis score and rank you need to provide 4 arguments- csv filename, weights, impacts and output filename and then run on terminal in order to generate output file.<br /> 
Sample Case:<br />
```python filename.py data.csv "1,2,1,1,2" "+,-,+,-,-" outputfilename.csv```

## License
Copyright(c) 2022 Tarush Srivastava
Topsis-Yugal-401903007 0.0.7
Topsis Package
Requires Python: >=3.6

This is a Topsis score calculator package.

It takes a csv file, along with weigths, impacts and name of output csv file, it displays the topsis score and save it into the output csv file.

Installation:

pip install Topsis-Yugal-401903007

Usage in terminal:

python <Filename.py> <data.xlsx> <weights> <impacts> <output-data.csv>
ManmeetSingh-101903767-Topsis 0.0.2
Topsis Package
Keywords: python,topsis,thapar,Prdictive-Analysis,101903767

# Topsis-Tarush
Topsis-Tarush is a python package to implement Multiple criteria decision making (MCDM) using TOPSIS. It takes data, calculates topsis score and ranks the data according to the score.

## Installation
Run the following command in the terminal to install the package:
```pip install ManmeetSingh-101903767-Topsis==0.0.1 ```
## How to use the Package
You need to provide 4 arguments(csv filename, weights, impacts, output filename) in terminal to run the package.
Sample Case:
python test.py data.csv "1,2,1,1,2" "+,-,+,-,-" outputfilename.csv

## License

Â© 2022 Manmeet Singh Chhabra
ivav 0.0.2
A quantum computer simulator

# Index view of Amplitude Vectors

ivav is tool to simulate quantum circuit using indices of the amplitude vectors. ivav is motivated from [Bernstein’s Invited Talk at Indocrypt 2021](https://cr.yp.to/talks.html).

<!-- and Dr. Dhiman Saha who taught [CS614: Quantum Symmetric-Key Cryptanalysis](https://www.iitbhilai.ac.in/index.php?pid=dhiman). -->

# Getting Started

Install Python and virtual env. Then follow the below steps.

```
git clone https://github.com/Gopal-Dahale/ivav.git
cd ivav
virtualenv venv
.
.
.
.venv/bin/activate
pip install -r requirements.txt
pip install -e .
```

```
pip install ivav
```

# Testing

To run tests, run the following command in your virutalenv

```
pip install -e .[dev]
pytest
```