Metadata-Version: 2.4
Name: topsis-Urvi-102203720
Version: 0.1.0
Summary: A Python package for TOPSIS implementation
Project-URL: Homepage, https://github.com/UrviGarg/102203720_topsis
Author-email: Urvi Garg <urvigarg43@gmail.com>
License: For `LICENSE` (MIT License):
        ```text
        MIT License
        
        Copyright (c) 2024 Urvi Garg
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
License-File: LICENSE
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Requires-Dist: numpy
Requires-Dist: pandas
Description-Content-Type: text/markdown

# TOPSIS Package

This is a Python package implementing the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method.

## Installation

```pip install topsis-Urvi-102203720```

## Usage

```python
from topsis_Urvi_102203720 import topsis

# Example usage
result = topsis(
    '102203720-data.csv',
    '0.1,0.2,0.3,0.2,0.2',
    '+,+,-,+,+',
    '102203720-result.csv'
)