Metadata-Version: 2.1
Name: scam
Version: 0.3.3
Summary: Source Code Analyzing Maching is an pplication for the analysis of similarities between separate files. Currently with Python, Java, C, and C++ file checking capabilities.
Home-page: https://github.com/SourceCodeAnalyzingMachine/SCAM_Public
Author: Codalyzers
Author-email: djoni.austin@gmail.com
License: UNKNOWN
Description: # Source Code Analyzing Machine
        
        [GitHub Repo Link](https://github.com/SourceCodeAnalyzingMachine/SCAM_Public)
        
        - A locally run application that demonstrates different matching algorithms 
        - Current release compares files as a one to one connection
        - Outputs given percentage of similarity and highlighted visualization of the matching sections of input documents
        - Supports C, C++, Java, and Python files
        
        ## Getting Started
        
        Install PySide2: `pip install scam`
        
        Run from directly outside `source` directory: `python3 ./source/scam.py`
        
        ## Getting Started
        
        #### STEP 1 
        
        it is recommended to create and navigate to virtual environemnt using python to run script
        
            python3.8 -m venv <dir> 
            source <dir>/bin/activate
        
        #### STEP 2
        
        install source_analyzer python package from Python Package Index.
        **Note:** must be running python version 3.8 or greater
        
            pip install scam
        
        
        ###### OR
        
        Download the latest built compressed file release from [source_analyzer-X.X.X.tar.gz](https://github.com/SourceCodeAnalyzingMachine/SCAM_Public/tree/master/dist)
        
        
        
        then install downloaded file
        
            pip3 install /<path_to_file>/scam-0.0.2.tar.gz
        
        
        #### STEP 3
        (make sure xlaunch is running)
        run script
        
            scam
        
        ## Known Errors/Issues
        Issues- 
        Python files featuring a heavy amount of print statements may cause skewed data. 
        
        
        ## Project Group: Codalyzers
        - Djoni Austin | @dcaust1n
        - Jared Dawson | @lukinator1
        - Shane Eising | @seising99
        - Julian Marott | @jmmoratta
        
        ## References: 
        https://theory.stanford.edu/~aiken/publications/papers/sigmod03.pdf
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
