diff --git a/src/EasyGA.py b/src/EasyGA.py
index ded48fe..ba7d4a9 100644
--- a/src/EasyGA.py
+++ b/src/EasyGA.py
@@ -2,8 +2,6 @@
 from initialization.gene_creation.gene_random import random_gene
 from initialization.random_initialization import random_initialization
 
-
-
 class GA:
     def __init__(self):
         # Default variables
diff --git a/src/defaults.py b/src/defaults.py
deleted file mode 100644
index 89259fc..0000000
--- a/src/defaults.py
+++ /dev/null
@@ -1,44 +0,0 @@
-
-# Defult packages for GA functionality
-from create_gene.random_gene import random_gene
-from initialization.random_initialization import random_initialization
-
-
-
-class defaults:
-# Defult values so that the user doesnt have to explicidly
-# state every feature of the genetic algorithm.
-    def __init__(self):
-
-
-    def gene_function(self):
-        return random_gene(1,10)
-
-    def fitness_function(self):
-        pass
-
-    def initialize_function(self):
-        return random_initialization(population,chromosome,gene,
-        chromosome_length,population_size,gene_function)
-
-    def selection_function(self):
-        return tournament_selection()
-
-    def crossover_function(self):
-        return fast_single_point_crossover()
-
-    def mutations_function(self):
-        return per_gene_mutation()
-
-    def termination_point_function(self,amount):
-        # The default termination point is based on how
-        # many generations the user wants to run.
-        return generation_termination(amount)
-
-    def get_highest_fitness(self):
-        # Get the highest fitness of the current generation
-        pass
-
-    def get_lowest_fitness(self):
-        # Get the lowest fitness of the current generation
-        pass
diff --git a/src/test_defaults.py b/src/test_defaults.py
deleted file mode 100644
index e69de29..0000000