def get_stop():
fo = open("stop.txt", "rw+")
data = fo.read().split(',')
list_of_gridpoints, mapd, rmapd = gp.grid(cv2.imread("cropped.png"), 9)
d = 10000
dat = resource()
dat.shape = "stop"
dat.real_point = (int(data[0]), int(data[1]))
for gridp in list_of_gridpoints:
dist = distance(dat.real_point, gridp)
if dist < d:
d = dist
dat.nearest_grid = gridp
return dat
def get_start():
fo = open("start.txt", "r")
data = fo.read().split(',')
list_of_gridpoints, mapd, rmapd = gp.grid(cv2.imread("arena.jpg"), 9)
d = 10000
dat = resource()
dat.shape = "start"
dat.real_point = (int(data[0]), int(data[1]))
for gridp in list_of_gridpoints:
dist = distance(dat.real_point, gridp)
if dist < d:
d = dist
dat.nearest_grid = gridp
fo.close()
return dat
def get_resources():
fo = open("resources.txt", "r")
data = fo.read()
x = ast.literal_eval(data)
list_of_obj_res = []
for i in x:
list_of_shit = i.split(',')
elem = resource()
elem.shape = list_of_shit[0]
elem.real_point = (int(list_of_shit[1]), int(list_of_shit[2]))
list_of_obj_res.append(elem)
list_of_gridpoints, mapd, rmapd = gp.grid(cv2.imread("cropped.png"), 9)
for res in list_of_obj_res:
d = 10000
for gridp in list_of_gridpoints:
dist = distance(res.real_point, gridp)
if dist < d:
d = dist
res.nearest_grid = gridp
return list_of_obj_res
