diff --git a/src/EasyGA.py b/src/EasyGA.py
index c79a7ad..f00a29a 100644
--- a/src/EasyGA.py
+++ b/src/EasyGA.py
@@ -4,8 +4,6 @@ from initialization.population_structure.population import population as create_
 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_function.gene_random import random_gene
 # Import functionality defaults
 from initialization.random_initialization import random_initialization
 
@@ -21,8 +19,6 @@ class GA:
         self.population_size = 5
         self.mutation_rate = 0.03
         # Defualt EastGA implimentation structure
-        
-        # Set the GA Configuration
         self.initialization_impl = random_initialization
         #self.mutation_impl = PerGeneMutation(Mutation_rate)
         #self.selection_impl = TournamentSelection()
diff --git a/src/run_testing.py b/src/run_testing.py
index 98f5b37..8103acf 100644
--- a/src/run_testing.py
+++ b/src/run_testing.py
@@ -6,17 +6,19 @@ ga = EasyGA.GA()
 def user_gene_domain(gene_index):
     """Each gene index is assosiated to its index in the chromosome"""
     domain = [
-    random.randrange(1,100),
+    random.randrange(1,100,5),
     random.uniform(10,5),
     random.choice(["up","down"])
     ]
     return domain[gene_index]
 
+print(user_gene_domain(0))
+
 # If the user wants to use a domain
 ga.domain = user_gene_domain
 # If the user wants to use a custom range
-#ga.new_range = [random.randrange,1,100]
+#ga.new_range = [random.randrange,1,100,None]
 
 ga.initialize()
 
-ga.population.print_all()
+#ga.population.print_all()