prev_percentage = 0
for i in range(len(winner_of_generation)):
winner_of_generation[i].set_name(i + n_ai)
ai.append(winner_of_generation[i])
score = np.zeros(len(ai), dtype='int')
print('Complete: ', end='', flush=True)
for i in range(len(ai)):
percentage = int(i / len(ai) * 100)
[
print('#', end='', flush=True)
for x in range(percentage - prev_percentage)
]
prev_percentage = percentage
for j in range((i + 1), len(ai)):
game = Othello()
winner = game.play_self(ai[i], ai[j])
score[winner.get_name()] += 1
print('| 100%')
winners = score.argsort()[-n_winners:][::-1]
ai_winners = []
for winner in winners:
ai_winners.append(ai[winner])
print('Ai-{} won {} out of {} ({:.2f}%) games.\n'.format(
winners[0], score[winners[0]],
len(ai) - 1, score[winners[0]] / (len(ai) - 1) * 100))
# Adds the best AI of this generation to the list of contenders
if ai_winners[0] not in winner_of_generation and (score[winners[0]] /
(len(ai) - 1)) > 0.625:
winner_of_generation.append(ai_winners[0])
file = open('weights\\best_gen.txt', 'a')
from Othello import Othello
from Othello import AI
import numpy as np
import matplotlib.pyplot as plt
generation = int(input('Which generation do you wish to play against:'))
w1 = np.load('weights\weight-Gen{:03d}-1.npy'.format(generation))
w2 = np.load('weights\weight-Gen{:03d}-2.npy'.format(generation))
ai = AI(weight1=w1, weight2=w2)
player = int(
input(
'Which player do you wish to be (black: -1, white: 1) (or choose another ai):'
))
game = Othello()
print(np.average(np.abs(w1)))
print(np.average(np.abs(w2)))
if player > 1:
w1 = np.load('weights\weight-Gen{:03d}-1.npy'.format(player))
w2 = np.load('weights\weight-Gen{:03d}-2.npy'.format(player))
ai2 = AI(weight1=w1, weight2=w2)
ai.set_name('Gen' + str(generation))
ai2.set_name('Gen' + str(player))
game.play_self(ai, ai2, display_board=True)
else:
game.play(ai, player)
# n, bins, patches = plt.hist(w1, 50, normed=1, facecolor='green', alpha=0.75)
# plt.show()
