matheel 0.1.7

Matheel: A CLI and Python package for source-code similarity detection.

This is the repository for the demonstration paper "Matheel: A Hybrid Source Code Plagiarism Detection Software".

Matheel

Matheel is a Python package designed to detect source code similarity. It integrates semantic similarity models with traditional edit distance, providing a robust approach to detecting similarities among source code snippets.

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Features

• Semantic Similarity: Uses Pre-Trained models.
• Edit-distance Metrics: Integrates Levenshtein and Jaro-Winkler similarity scores.
• Combined Weighted Similarity: Adjustable weights for semantic and syntactic similarity.
• Easy CLI & Python API: Suitable for both interactive and automated workflows.
• Interactive UI: Gradio-based user interface.

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Installation

Install via pip:

pip install matheel

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Usage

CLI Usage

Compare files within a compressed ZIP archive:

matheel compare codes.zip --model buelfhood/unixcoder-base-unimodal-ST --threshold 0.5 --num 100

Python API Usage

To calculate similarities programmatically:

from matheel.similarity import get_sim_list

# Define parameters
zip_file = "sample_codes.zip"
Ws, Wl, Wj = 0.7, 0.2, 0.1
model_name = "buelfhood/unixcoder-base-unimodal-ST"
threshold = 0.5
number_results = 100

# Get similarity results
results = get_sim_list(zip_file, Ws, Wl, Wj, model_name, threshold, number_results)

# Display results
print(results)

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Gradio GUI:

The gradio_app folder contains a notebook that allows you to run the Gradio through a Jupyter Notebook. Also, a demo is available hosted on Huggingface Spaces.

Using Gradio API:

The tool can be used through the Gradio API as per the following call:

#pip install gradio_client
from gradio_client import Client, handle_file

client = Client("buelfhood/Matheel")
result = client.predict(
		zipped_file=handle_file('zip file path'),
		Ws=0.7,
		Wl=0.3,
		Wj=0,
		model_name="buelfhood/unixcoder-base-unimodal-ST",
		threshold=0,
		number_results=10,
		api_name="/get_sim_list"
)
print(result)

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License

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.

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Acknowledgement:

• The demo uses code written by SBERT. Webpage, Repo.
• The code is built with Gradio. Webpage. Repo
• The code uses RapidFuzz for the edit distance. Webpage. Repo