Did stuff

src/EasyGA.py

@@ -1,8 +1,20 @@
 # Import all the data prebuilt modules
+from initialization.population_structure.population import population as create_population
+from initialization.chromosome_structure.chromosome import chromosome as create_chromosome
+from initialization.gene_structure.gene import gene as create_gene
+
+# Import functions for defaults
 from initialization.gene_creation.gene_random import random_gene
+# Import functionality defaults
 from initialization.random_initialization import random_initialization
 
+
 class GA:
+
+    global population
+    global chromosome
+    global gene
+
     def __init__(self):
         # Default variables
         self.population = None
@@ -37,4 +49,8 @@ class GA:
         # and be able to pause and output data based on that generation run.
         pass
 
-    # What about if you want to see how each
+    def make_gene(self,value):
+        return create_gene(value)
+
+    def make_chromosome(self):
+        pass

src/initialization/random_initialization.py

@@ -3,8 +3,6 @@ from .population_structure.population import population as create_population
 from .chromosome_structure.chromosome import chromosome as create_chromosome
 from .gene_structure.gene import gene as create_gene
 
-from .initialization import initialization
-
 class random_initialization:
     def initialize(self,chromosome_length,population_size,gene_function):
         # I dont understand why python needs this in its scope but it does.

src/run_testing.py

@@ -7,5 +7,9 @@ ga = EasyGA.GA()
 # Start the population
 ga.initialize()
 
+new_gene = ga.make_gene("Hello")
+print(new_gene.get_value())
+print(new_gene.get_fitness())
+
 for chromosome in ga.population.chromosomes:
     print(chromosome.genes[0].__dict__)