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noise_threshold ( -n, -noise-thresh): the smallest sequence of matching characters between two files which should be considered plagiarism.
#Plagiarism checker for code code
extensions ( -e, -extensions): a list of file extensions containing code the detector should look at.Matches between fingerprints present in the boilerplate code will not be considered plagiarism. boilerplate_directories ( -b, -boilerplate-dirs): a list of directories containing boilerplate code.If not provided, the test directories are used as reference directories. This should generally be a superset of test_directories.
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The simplest usage is copydetect -t DIRS, where DIRS is a space-separated list of directories to search for input files. If your scripts folder is not in your PATH the code can also be run using py.exe -m copydetect). You can then generate a report using the copydetect command ( copydetect.exe on Windows. Note that Python version 3.6 or greater is required.
#Plagiarism checker for code install
InstallationĬopydetect can be installed using pip install copydetect. Note that, like MOSS, copydetect is designed to detect likely instances of plagiarism it is not guaranteed to catch cheaters dedicated to evading it, and it does not provide a guarantee that plagiarism has occurred. Code tokenization is handled by Pygments, so all 500+ languages which pygments can detect and tokenize are in turn supported by copydetect. The implementation takes advantage of fast numpy functions for efficient generation of results. Copydetect takes a list of directories containing code as input, and generates an HTML report displaying copied slices as output. Copydetect is a code plagiarism detection tool based on the approach proposed in " Winnowing: Local Algorithms for Document Fingerprinting" and used for the popular MOSS platform.