def eval_genomes(genomes, config):
i = 0
global GENERATION, MAX_FITNESS, BEST_GENOME, highScore
GENERATION += 1
# Instantiate game
game = Game()
# Iterate through each genome seperately (for now, might change in future)
for genome_id, genome in genomes:
# Run game and return fitness
genome.fitness = game.game(genome, config, 1)
# Print Results in Console
if MAX_FITNESS == None:
MAX_FITNESS = genome.fitness
print("Gen:" + str(GENERATION) + " Gnm:" + str(i) + " MyFit:" + str(genome.fitness) + " TopFit:" + str(round(MAX_FITNESS)) + " TopSCR:"+str(highScore))
if genome.fitness >= MAX_FITNESS:
MAX_FITNESS = genome.fitness
BEST_GENOME = genome
if(myGlobals.SCORE > highScore):
highScore = myGlobals.SCORE
myGlobals.SCORE = 0
i += 1
def eval_genomes(genomes, config):
i = 0
global SCORE
global GENERATION, MAX_FITNESS, BEST_GENOME
GENERATION += 1
game = Game()
for genome_id, genome in genomes:
genome.fitness = game.game(genome, config, 1)
print("")
print("Generation: " + str(GENERATION) + ", My Fitness: " + str(genome.fitness) + "Best Fitness: " + str(MAX_FITNESS))
if genome.fitness >= MAX_FITNESS:
MAX_FITNESS = genome.fitness
BEST_GENOME = genome
SCORE = 0
i+=1
GENERATION += 1
game = Game()
for genome_id, genome in genomes:
genome.fitness = game.game(genome, config, 1)
print("")
print("Generation: " + str(GENERATION) + ", My Fitness: " + str(genome.fitness) + "Best Fitness: " + str(MAX_FITNESS))
if genome.fitness >= MAX_FITNESS:
MAX_FITNESS = genome.fitness
BEST_GENOME = genome
SCORE = 0
i+=1
config = neat.Config(neat.DefaultGenome, neat.DefaultReproduction,
neat.DefaultSpeciesSet, neat.DefaultStagnation,
'config')
genomeFile = 'bestGenomes/_955.p'
genome = pickle.load(open(genomeFile,'rb'))
fitnessScores = []
game = Game()
for i in range(10):
fitness = game.game(genome, config,1)
SCORE = 0
print('Fitness is %f'% fitness)
fitnessScores.append(fitness)
game.close()
sys.exit();
from gvGame import Game game = Game() game.game(0, 0, 0)
import neat
import sys
import random
import pickle
from gvGame import Game
import myGlobals
GENERATION = 0
MAX_FITNESS = 0
BEST_GENOME = 0
myGlobals.SCORE = 0
highScore = 0
#Load Neat Config
config = neat.Config(neat.DefaultGenome, neat.DefaultReproduction,
neat.DefaultSpeciesSet, neat.DefaultStagnation, 'config')
#Load Specific File
genomeFile = 'bestGenomes/_871.p'
genome = pickle.load(open(genomeFile, 'rb'))
game = Game()
for i in range(100):
game.game(genome, config, 1)
myGlobals.SCORE = 0
game.close()
sys.exit()