Test Case Optimizer

A program to create a dataset storing o sets of m random binary numbers of n bit data as input and their corrsponding optimized output sequence.

Build

• On Mac & Linux:

1. Create a virtual environment.

   python3 -m venv .venv

2. Activate the virtual environment.

   source .venv/bin/activate

3. Install networkx library using pip.

   pip install networkx

Run

1. Run the console.py file to test the accuracy of the algorithms used in the program.
2. Run the main.py file after setting the m, n, o variables accordingly, to generate the dataset.