import simulation
from characters import *
import NeuralNet as nn
import copy
import multiprocessing
from multiprocessing import Pool
from functools import partial
import json
import pickle
if __name__ == "__main__":
scoresOverTime = []
generation = 1
populationCount = 50
population = [AiPlayer(brain=nn.Brain([0,0,0], [0,0,0])) for _ in range(0,populationCount)]
mode = "m"
while mode == "m" or mode == "s":
try:
results = []
print(f"Generation: {generation}")
if mode == "m":
pool = Pool(4)
results = pool.map(simulation.run, population)
pool.close()
pool.join()
else:
for player in population:
results.append(simulation.run(player))
results = sorted(results, key=lambda k: k['score'], reverse=True)
best = results[0]
maxScore = best['score']
import numpy as np import NeuralNet as nn inputs = [0, 0, 0, 1] outputs = [0, 0, 0] ins = np.asarray(inputs, dtype=np.float32) outs = np.asarray(outputs, dtype=np.float32) brain = nn.Brain(ins, outs) print(brain.predict(0, 0, 0))
