def get_neighbor_set_cones(self, row, col, agent, agent_field):
number_of_standing = 0
counter = 0
if col == 0:
number_of_standing += agent_field[row][col + 1].behavior
counter += 1
elif col == self.n_of_column - 1:
number_of_standing += agent_field[row][col - 2].behavior
counter += 1
else:
number_of_standing += agent_field[row][col - 1].behavior
number_of_standing += agent_field[row][col + 1].behavior
counter += 2
if row != 0:
i = 1
while i < row:
j = col - i
while j <= col + i:
if j >= 0 and j < self.n_of_column:
number_of_standing += agent_field[row - i][j].behavior
counter += 1
j += 1
i += 1
agent.make_decision(counter, number_of_standing)
def get_neighbor_set_neumann(self, row, col, agent, agent_field):
number_of_standing = 0
number_of_standing += agent_field[row][(col + 1) %
self.n_of_column].behavior
number_of_standing += agent_field[row][(col - 1 + self.n_of_column) %
self.n_of_column].behavior
number_of_standing += agent_field[(row + 1) %
self.n_of_row][col].behavior
number_of_standing += agent_field[(row - 1 + self.n_of_row) %
self.n_of_row][col].behavior
agent.make_decision(4, number_of_standing)
def test(filename):
with open(filename, "r") as f:
data = pickle.load(f)
start = time.time()
seq = None
for i, snake in enumerate(data["info"]["snakes"]):
if snake["name"] == data["name"]:
seq = i
# snake['body'] = snake['body'][1:]
# snake['length'] -=1
# print snake['body']
break
# else:
# snake['body'] = snake['body'][:1]
# fake
# data['info']['eggs'].append((16,4))
# pprint.pprint(data['info']['snakes'])
print data["info"]["snakes"][seq]["body"]
d = make_decision(data["map"], data["info"], seq)
print "d is ", d
print "cost", time.time() - start
def test(filename):
with open(filename, 'r') as f :
data = pickle.load(f)
start = time.time()
seq = None
for i, snake in enumerate(data['info']['snakes']):
if snake['name'] == data['name']:
seq = i
# snake['body'] = snake['body'][1:]
# snake['length'] -=1
# print snake['body']
break
# else:
# snake['body'] = snake['body'][:1]
#fake
# data['info']['eggs'].append((16,4))
# pprint.pprint(data['info']['snakes'])
print data['info']['snakes'][seq]['body']
d = make_decision(data['map'], data['info'], seq)
print 'd is ', d
print 'cost', time.time() - start
def get_neighbor_set_standing_ovation(self, row, col, agent, agent_field):
number_of_standing = 0
if row != 0:
if col == 0:
number_of_standing += agent_field[row - 1][col].behavior
number_of_standing += agent_field[row][col + 1].behavior
number_of_standing += agent_field[row - 1][col + 1].behavior
agent.make_decision(3, number_of_standing)
return True
elif col == self.n_of_column - 1:
number_of_standing += agent_field[row - 1][col].behavior
number_of_standing += agent_field[row][col - 1].behavior
number_of_standing += agent_field[row - 1][col - 1].behavior
agent.make_decision(3, number_of_standing)
return True
else:
number_of_standing += agent_field[row - 1][col - 1].behavior
number_of_standing += agent_field[row - 1][col].behavior
number_of_standing += agent_field[row - 1][col + 1].behavior
number_of_standing += agent_field[row][col - 1].behavior
number_of_standing += agent_field[row][col + 1].behavior
agent.make_decision(5, number_of_standing)
return True
else:
if col == 0:
number_of_standing += agent_field[row][col + 1].behavior
agent.make_decision(1, number_of_standing)
return True
elif col == self.n_of_column - 1:
number_of_standing += agent_field[row][col - 1].behavior
agent.make_decision(1, number_of_standing)
return True
else:
number_of_standing += agent_field[row][col - 1].behavior
number_of_standing += agent_field[row][col + 1].behavior
agent.make_decision(2, number_of_standing)
return True
def get_neighbor_set_standing_ovation(self, row, col, agent, agent_field):
number_of_standing = 0
if row != 0:
if col == 0: # agentが左端の列にいるとき
number_of_standing += agent_field[row - 1][col].behavior
number_of_standing += agent_field[row][col + 1].behavior
number_of_standing += agent_field[row - 1][col + 1].behavior
agent.make_decision(3, number_of_standing)
return True
elif col == self.n_of_column - 1: # agentが右端の列にいるとき
number_of_standing += agent_field[row - 1][col].behavior
number_of_standing += agent_field[row][col - 1].behavior
number_of_standing += agent_field[row - 1][col - 1].behavior
agent.make_decision(3, number_of_standing)
return True
else: # 左右、前に他のagentがいるとき
number_of_standing += agent_field[row - 1][col - 1].behavior
number_of_standing += agent_field[row - 1][col].behavior
number_of_standing += agent_field[row - 1][col + 1].behavior
number_of_standing += agent_field[row][col - 1].behavior
number_of_standing += agent_field[row][col + 1].behavior
agent.make_decision(5, number_of_standing)
return True
else:
if col == 0: # agentが左角にいるとき(row,col)=(0,0)
number_of_standing += agent_field[row][col + 1].behavior
agent.make_decision(1, number_of_standing)
return True
elif col == self.n_of_column - 1: # agentが右角にいるとき
number_of_standing += agent_field[row][col - 1].behavior
agent.make_decision(1, number_of_standing)
return True
else: # agentが両端以外の最前列にいるとき
number_of_standing += agent_field[row][col - 1].behavior
number_of_standing += agent_field[row][col + 1].behavior
agent.make_decision(2, number_of_standing)
return True
