file structure changes and testing files added.

src/EasyGA.py

@@ -1,28 +1,32 @@
 # Defult packages for GA functionality
 from initialization.random_initialization import random_initialization
 
+import random
+from defaults import defaults
+import gene
 
 class GA:
     def __init__(self):
         # Default variables
-        self.population_size = defaults.generations
-        self.chromosome_length = defaults.chromosome_length
-        self.generations = defaults.generations
-        # Defualt ga implimentation structure
-        self.create_gene = defaults.default_gene_function()
-        self.initialization = defaults.default_initialize()
-        self.mutation = defaults.default_mutations_function()
-        self.selection = defaults.default_selection_function()
-        self.crossover = defaults.default_crossover_function()
-        self.termination = defaults.default_termination_function(self.generations)
-        self.fitness_function = defaults.default_fitness_function()
+         self.gene = defaults.default_gene_function()
+    #     self.population_size = defaults.generations
+    #     self.chromosome_length = defaults.chromosome_length
+    #     self.generations = defaults.generations
+    #     # Defualt ga implimentation structure
 
-    def initialize(self):
-        # Create the initial population
-        self.population = self.initialization.initialize(self.population_size,
-                                                                self.chromosome_length,
-                                                                 self.user_gene_function)
-                                                                 
-    def evolve(self):
-        # Evolve will run all the functions
-        initialize()
+    #     self.initialization = defaults.default_initialize()
+    #     self.mutation = defaults.default_mutations_function()
+    #     self.selection = defaults.default_selection_function()
+    #     self.crossover = defaults.default_crossover_function()
+    #     self.termination = defaults.default_termination_function(self.generations)
+    #     self.fitness_function = defaults.default_fitness_function()
+    #
+    # def initialize(self):
+    #     # Create the initial population
+    #     self.population = self.initialization.initialize(self.population_size,
+    #                                                             self.chromosome_length,
+    #                                                              self.user_gene_function)
+    #
+    # def evolve(self):
+    #     # Evolve will run all the functions
+    #     initialize()

src/defaults/defaults.py

@@ -1,8 +1,8 @@
-class defaults(self):
+import random
+
+class defaults:
 # Defult values so that the user doesnt have to explicidly
 # state every feature of the genetic algorithm.
-
-
     def __init__(self):
         self.generations = 3
         self.chromosome_length = 4

src/index.py

@@ -1,34 +1,5 @@
 import random
 import EasyGA
 
-# The user defined gene function
-def user_gene_function():
-    return random.randint(1, 100)
-
-# The user defined Fitness Function
-def user_fitness_function(chromosome):
-    pass
-
-# Standard user size requirements
-Population_size = 10
-Chromosome_length = 10
-
 # Create the Genetic algorithm
-ga = EasyGA.GA(Population_size, Chromosome_length,
-                user_gene_function,user_fitness_function)
-ga.initialize()
-
-# Looking to print the first Chromosome
-ga.population.chromosomes[0].print_chromosome()
-
-# Looking to print one gene in chromosome 0
-ga.population.chromosomes[0].genes[0].print_value()
-
-# Looking to get the data of a chromosome
-my_chromosome = ga.population.chromosomes[0]
-print(f"my_chromosome: {my_chromosome.get_chromosome()}")
-print(f"my_chromosome fitness: {my_chromosome.get_fitness()}")
-# Looking to get the data of one gene in the chromosome
-my_gene = ga.population.chromosomes[0].genes[0]
-print(f"my_gene: {my_gene.get_value()}")
-print(f"my_gene fitness: {my_gene.get_fitness()}")
+ga = EasyGA.GA()