CodeCost

This is a project with the purpose of facilitate the analysis of iterative algorithms for a user.

⚠️ This project was created in the year 2016-2 with educational/study purposes only.

Features

This project has the following features:

• It has his own language syntax, similar to psudocode and pascal (It's build using python and ply library).
• It allows the user to create and execute code in the language's own code editor.
• It allows the user to execute the code step by step (Like a debbuger).
• It allows the user to see the generated execution tree and see what happens in each node.
• It allows the user to create breakpoints and see what happens at this point in the execution.

Tools used

To build this project we use:

• PLY (Python Lex-Yacc) http://www.dabeaz.com/ply/
• PyQt5 https://pypi.org/project/PyQt5/
• Qscintilla https://pypi.org/project/QScintilla/
• Matplotlib http://matplotlib.org

ℹ️ This project was testes on Linux (Manjaro, Fedora, Ubuntu y OpenSuse specifically), but it has an acceptable performance in Windows 10.

Preview

Code editor and breakpoints.

Node info in code execution tree.

Execution times graphic.

Run project

Virtualenv

# Creating environment
virtualenv .
# Installing dependencies
pip install -r requirements.txt
# Running app
python main.py

Docker

Build image (Experimental)

docker build -t project/pyqt5 .

Run image (Experimental)

Nota: This command only works on Unix operating systems or those that use X11.

Execute in the host OS

xhost local:root

Execute the docker image

docker run -it \
    -v /tmp/.X11-unix:/tmp/.X11-unix \
    -v $(pwd):/app \
    -e DISPLAY=$DISPLAY \
    project/pyqt5 python /app/ventana.py