changed run.py

src/run.py

@@ -1,11 +1,51 @@
 import EasyGA
-import matplotlib.pyplot as plt
+import random
 
-# Create the genetic algorithm
+#Create the Genetic Algorithm
 ga = EasyGA.GA()
+password = input("""Please enter a word or sentence (Use only standard
+ characters such as letters, spaces and, punctuation marks): """)
+ga.chromosome_length = len(password)
+ga.fitness_goal = len(password)
+
+ga.population_size = 50
+ga.generation_goal = 1000
+
+
+def password_fitness(chromosome):
+
+    fitness = 0
+
+    # For each gene in the chromosome
+    for gene, letter in zip(chromosome, password):
+
+        # If the gene letter matchs the password
+        if gene.value == letter:
+            fitness += 1
+
+    return fitness
+
+
+ga.fitness_function_impl = password_fitness
+
+ga.adapt_population_flag = False
+ga.adapt_rate = 0
+
+# Creates random genes utilizing the characters below
+ga.gene_impl = lambda: random.choice([
+"A","a","B","b","C","c","D","d","E","e",
+"F","f","G","g","H","h","I","i","J","j",
+"K","k","L","l","M","m","N","n","O","o",
+"P","p","Q","q","R","r","S","s","T","t",
+"U","u","V","v","W","w","X","x","Y","y",
+"Z","z"," ",".","!","?"])
 
 ga.evolve()
 
+#Print your default genetic algorithm
+ga.print_generation()
+ga.print_population()
 
+#Prints a graph of the genetic algorithm
 ga.graph.highest_value_chromosome()
 ga.graph.show()