Skip to main content

Application for analysis of similarities between separate files. Currently with '*.py' and '*.txt' file checking capability

Project description

SourceAnalyzer

GitHub Repo Link

  • 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, raw text files and python files currently, with C++ and java planned in the future releases

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 source_analyzer
OR

Download the latest built compressed file release from source_analyzer-X.X.X.tar.gz

then install downloaded file

pip3 install /<path_to_file>/source_analyzer-0.1.18.tar.gz

STEP 3

(make sure xlaunch is running) run script

source_analyzer

Known Errors/Issues

Errors- Multiple of the same substring found in file B will return only the first instance of that substring.

Issues- Python files featuring a heavy amount of print statements may cause skewed data.

Test Files

Test files can be found in:

/lib/python3.8/site-packages/source/test_file there are python files and .txt files, make sure to change the file filter down below to be able to see either of them.

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scam-0.0.2.tar.gz (22.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

scam-0.0.2-py3-none-any.whl (35.2 kB view details)

Uploaded Python 3

File details

Details for the file scam-0.0.2.tar.gz.

File metadata

  • Download URL: scam-0.0.2.tar.gz
  • Upload date:
  • Size: 22.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.6.9

File hashes

Hashes for scam-0.0.2.tar.gz
Algorithm Hash digest
SHA256 05825e0c7b327b707b35e3c224ecfd115a2ce70ac20eb9487f66b055624d995d
MD5 8940041161087b03926a4a0eefd50260
BLAKE2b-256 b03c375c000a8f55cdf1ba998a3abfb0d2aa292aa291b75bf5a05d63063150b9

See more details on using hashes here.

File details

Details for the file scam-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: scam-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 35.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.6.9

File hashes

Hashes for scam-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 576b140c1b1ffb474eed02a6e38805f9c03efeeed23cab5a5cbe48295060a7f9
MD5 a672806f485c4d0112ad4a49a1afa115
BLAKE2b-256 5978ce552bf2689c155c7de2dff1e0c79b7948d76a13d98863f8f6097c22588f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page