Topsis-Harshpreet-102317160 1.0.0

A production-grade TOPSIS implementation (CLI + Python package).

TOPSIS — Harshpreet (102317160)

This package implements TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) as required by the assignment:

• CLI program
• Input validation
• CSV output with Topsis Score and Rank
• Packaged for PyPI

Installation (from source)

pip install -U pip
pip install .

CLI Usage (Assignment Part-I)

python topsis.py <InputDataFile> <Weights> <Impacts> <OutputResultFileName>

Example:

python topsis.py data.csv "1,1,1,2,1" "+,+,-,+,+" output-result.csv

CLI Usage (after installing as a package)

topsis-harshpreet-102317160 <InputDataFile> <Weights> <Impacts> <OutputResultFileName>

Input Rules

• CSV must contain 3 or more columns
• 1st column: alternatives/labels (can be non-numeric)
• 2nd to last columns: numeric criteria values
• Weights and Impacts must be comma-separated lists, same length as number of criteria
• Impacts must be + (benefit) or - (cost)

Output

Adds:

• Topsis Score
• Rank (1 = best)

Build & Upload to PyPI (Part-II)

1. Update authors.email in pyproject.toml
2. Build:

python -m pip install build twine
python -m build

3. Upload:

python -m twine upload dist/*

Quick Test

pip install dist/Topsis_Harshpreet_102317160-1.0.0-py3-none-any.whl
topsis-harshpreet-102317160 data.csv "1,1,1,2,1" "+,+,-,+,+" out.csv