Skip to content

Entry task for Tinkoff ML Spring '23. A simple anti-plagiarism tool for python code that uses the Levenshtein distance method without using non-standard libraries.

Notifications You must be signed in to change notification settings

omssky/tinkML_antiplagiat

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Getting Started

Entry task for Tinkoff ML Spring '23. A simple anti-plagiarism tool for python code that uses the Levenshtein distance method without using non-standard libraries.

Usage

  1. Clone the repo
    git clone https://github.com/github_username/repo_name.git
  2. Create a txt file that contains the paths of the files to be compared
     files/main.py plagiat1/main.py
     files/lossy.py plagiat2/lossy.py
     files/lossy.py files/lossy.py
  3. Run compare.py with the file from the previous step as the first argument and the file you want to output the result to as the second argument
    python3 compare.py input.txt scores.txt

About

Entry task for Tinkoff ML Spring '23. A simple anti-plagiarism tool for python code that uses the Levenshtein distance method without using non-standard libraries.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages