EasyGA 0.0.16

A ubiqitous or general purpose GA.

EasyGA - A general solution to Genetic Algorithms

Project description

Installation:

Run the rolling to install:

pip3 install EasyGA

Getting started with EasyGA:

import EasyGA

# Setup the default genetic algorithm
ga = EasyGA.GA()
# Run the default genetic algorithm
ga.evolve()

Output:

Put the out here

How Testing works

Getting started with testing

pip3 install pytest

Navigate to your EasyGA folder and run:

pytest

Output

============================== 1 passed in 0.02s ===============================
danielwilczak@Daniels-MacBook-Pro EasyGA % pytest
============================= test session starts ==============================
platform darwin -- Python 3.8.6rc1, pytest-6.0.2, py-1.9.0, pluggy-0.13.1
rootdir: /Users/danielwilczak/github/EasyGA
collected 1 item                                                               

src/gene/test_gene.py .                                                  [100%]

============================== 1 passed in 0.03s ===============================  

This is only an example and we will create hundreds of tests so this list will become bigger and bigger.

Developing EasyGA:

If you know how to use Github and git ignore this section.

Getting started with development

To work together we plan on using github and the git framework. This is made easy with the Atom software.

Download Atom for whatever OS you have. https://atom.io/

Use the github tab to pull the github repository. Its self explanitory.

Use the run_testing.py file inside the src folder to run your code and test while we build the package.

Other options

Download the repository to some folder - If you never used git. Look up a youtube tutorial. It will all make sense.

git clone https://github.com/danielwilczak101/EasyGA.git

Or download as a zip file.

https://github.com/danielwilczak101/EasyGA/archive/master.zip

Use the example.py file inside the src folder to run your code and test while we build the package.