# pop = toolbox.population(n=1000)
game = TetrisApp(training=True)
best_ind = []
best_score = -1
max_out = open("max50.txt", "w")
mean_out = open("mean50.txt", "w")
min_out = open("min50.txt", "w")
std_out = open("std50.txt", "w")
var_out = open("var50.txt", "w")
for g in range(1, n_gen + 1):
print("Current Generation " + str(g))
scores = []
for ind in pop:
score = game.run_train(ind)
scores.append(score)
ind.fitness.values = (score,)
if score > best_score:
best_ind = ind
best_score = score
max_out.write(str(max(scores)) + "\n")
mean_out.write(str(np.mean(scores)) + "\n")
min_out.write(str(min(scores)) + "\n")
std_out.write(str(np.std(scores)) + "\n")
var_out.write(str(np.var(scores)) + "\n")
offspring = map(toolbox.clone, toolbox.select(pop, len(pop)))
offspring = algorithms.varAnd(offspring, toolbox, prob_xover, prob_mut)
pop[:] = offspring
