def get_type_statistics():
pokemons = load_pokemons()
type_usage = getUsageDict()
for pokemon, number_of_uses in stats.items():
type1 = pokemons[pokemon].type1
type2 = pokemons[pokemon].type2
type_usage[type1] += number_of_uses
if type2: # could be None
type_usage[type2] += number_of_uses
return type_usage
return move
def getRandomMoveset(pokemon, size, spectrum="m"):
moveset = []
for i in range(size):
moveset.append(getRandomMove(pokemon, spectrum))
return moveset
VERBOSE = 0
POPULATION_SIZE = 10
MAX_GENERATIONS = 100
print_name()
print_dna()
pokedex = load_pokemons()
species = str(raw_input("What pokemon would you like to Optimize? \n"))
pokemon = pokedex[species]
#number = int(raw_input("How many moves to optimize for? (minimum 2) \n"))
number = 4
spectrum = "p"
# Generate the initial population of individuals randomly - first Generation
population = [Individual(species, getRandomMoveset(pokemon, number, spectrum), 0)
for x in range(POPULATION_SIZE)]
# Evaluate the fitness of each individual in that population
for specimen in population:
specimen.fitness = fitness(pokemon, specimen.moveset)
