Updated naming convetions.

EasyGA.py

@@ -1,4 +1,4 @@
-# Import math for square root (ga.dist()) and ceil (crossover methods) 
+# Import math for square root (ga.dist()) and ceil (crossover methods)
 import math
 
 # Import random for many methods
@@ -13,7 +13,7 @@ from structure import Chromosome as make_chromosome
 from structure import Gene       as make_gene
 
 # Misc. Methods
-from examples import Fitness_Examples
+from examples import Fitness
 from termination import Termination
 
 # Parent/Survivor Selection Methods

attributes.py

@@ -14,7 +14,7 @@ from structure import Chromosome as make_chromosome
 from structure import Gene       as make_gene
 
 # Misc. Methods
-from examples import Fitness_Examples
+from examples import Fitness
 from termination import Termination
 
 # Parent/Survivor Selection Methods
@@ -37,14 +37,14 @@ import matplotlib.pyplot as plt
 class Attributes:
     """Default GA attributes can be found here. If any attributes have not
     been set then they will fall back onto the default attribute. All
-    attributes have been catigorized to explain sections in the ga process.""" 
+    attributes have been catigorized to explain sections in the ga process."""
 
     #=====================#
     # Default GA methods: #
     #=====================#
 
     # Default EasyGA implimentation structure
-    fitness_function_impl = Fitness_Examples.is_it_5
+    fitness_function_impl = Fitness.is_it_5
     make_population = make_population
     make_chromosome = make_chromosome
     make_gene = make_gene

database/matplotlib_graph.py

@@ -2,7 +2,8 @@
 import matplotlib.pyplot as plt
 
 class Matplotlib_Graph:
-    """Prebuilt graphing functions to make visual represention of fitness data. """
+    """Prebuilt graphing functions to make visual
+    represention of fitness data."""
 
     # Common graphing functions
     type_of_graph_dict = {