plagcheck 0.4

Moss Results scraper with powerful insights & analysis

PlagCheck ✅

Moss Results scraper with powerful insights & analysis 💡

Installation

Install using pip from PyPI

pip install plagcheck

or directly from GitHub if you cannot wait to test new features

pip install git+https://github.com/codeclassroom/PlagCheck.git

Usage

"""Usage example"""
import os
import pprint
from plagcheck import plagcheck

from dotenv import load_dotenv
load_dotenv()

language = "python"
userid = os.environ["USER_ID"]


moss = plagcheck.check(language, userid)

moss.addFilesByWildCard("testfiles/test_python*.py")

# or moss.addFile("testfiles/test_python.py")

moss.submit()

print(moss.getHomePage())
pprint.pprint(moss.getResults())
# print frequency of each shared solution
pprint.pprint(moss.getShareScores())
# print potential distributor-culprit relationships
pprint.pprint(moss.getInsights())

Documentation

PlagCheck Documentation

Development

Prerequisites

• Python 3.6+
• virtualenv

1. Create virtual environment.

virtualenv -p python3 venv && cd venv && source bin/activate

2. Clone the repository.

git https://github.com/codeclassroom/PlagCheck.git

3. Install Dependencies.

pip install -r requirements-dev.txt

4. Run tests.

pytest plagcheck

5. Lint the project with

flake8 plagcheck --max-line-length=88 --ignore=F401
black --check --diff plagcheck

📝 Changelog

See the CHANGELOG.md file for details.

Author

👥 Bhupesh Varshney

• Twitter: @bhupeshimself
• DEV: bhupesh

📜 License

This project is licensed under the MIT License. See the LICENSE file for details.

👋 Contributing

Please read the CONTRIBUTING guidelines for the process of submitting pull requests to us.

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Alexey Dubrov 💻 🐛 ⚠️

This project follows the all-contributors specification. Contributions of any kind welcome!