def main():
init_logging()
# nice exit via ctrl-c
signal.signal(signal.SIGINT, signal_handler)
print "Welcome to MAIA! a.k.a flowerpicker v4!"
# initialize runtime configuration
config = init_config()
# create game window object and tell it the size our screenshots will have
gw = gamewindow.GameWindow(config['frame_size'])
# initiate connection to minecraft
mc = minecraft.Minecraft.create()
# save current time
main_start_time = time.time()
# connect to api server
if config['graph_server']:
ws = create_connection("ws://localhost:8080")
else:
ws = "empty"
# run q-learner
run_qlearner(config, ws, gw, mc)
# save time data
main_run_time = time.time() - main_start_time
print "MAIA has completed %s episodes in %s seconds" % (
config['number_of_episodes'], main_run_time)
print "That means an average of %s seconds per episode (20 flowers)" % (
main_run_time / config['number_of_episodes'])
# close connection to api server
if config['graph_server']: ws.close()
from PyQt5 import QtWidgets
from PyQt5.QtWidgets import QApplication
import sys
import gamewindow
from gamestate import *
if __name__ == "__main__":
game_state_test = GameState(physic=Physic(minimum_speed=0.000005),
collider=Collider(),
size=Vector(1500, 900))
App = QApplication(sys.argv)
window = gamewindow.GameWindow(game_state_test)
sys.exit(App.exec())
count = 0 # want to find at least these many red pixels
for pixel in pixel_array:
for color in flower_colors_outer:
if all(pixel == color):
count += 1
for color in flower_colors_inner:
if all(pixel == color):
count += 1
return count
size = 50
config = {}
config['pixel_indices'] = get_indices(size)
gw = gamewindow.GameWindow(size)
counter = 1
states = []
while counter != 0:
logging.debug("taking screenshot in 3 seconds...")
time.sleep(1)
logging.debug("2...")
time.sleep(0)
logging.debug("1...")
time.sleep(0)
state = observe_state(gw)