# EasyGA - A general solution to Genetic Algorithms Project description ## Installation: Run the rolling to install: ```Python pip3 install EasyGA ``` ## Getting started with EasyGA: ```Python import EasyGA # Setup the default genetic algorithm ga = EasyGA.GA() # Run the default genetic algorithm ga.evolve() ``` ### Output: ```python Put the out here ``` ## Customized: ```python import random import EasyGA # Setup the default genetic algorithm ga = EasyGA.GA() # User set sizes ga.population_size = 10 ga.chromosome_length = 10 ga.generations = 10 # The user defined gene function def user_gene_function(): pass # The user defined Fitness function that gives the chromosome some kind of fitness def user_fitness_function(chromosome): pass # The user defined initialization function def user_initialization_function(): pass # User sets the gene function ga.gene = user_gene_function # Set the fitness functions ga.fitness = user_fitness_function # Changing the initialization function. ga.initialization = user_initialization_function # Run the customized genetic algorithm ga.eveolve() ``` ### Output: ```python Put the out here ``` # How Testing works ### Getting started with testing ```bash pip3 install pytest ``` ### Navigate to your EasyGA folder and run: ```bash pytest ``` #### Output ```bash ============================== 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 example.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.