def test_main():
#
# Define Messages
#
buzz = Buzz('view_of_dice', ['dice_1', 'dice_2', 'dice_3',
'dice_4', 'dice_5'])
belief = Belief('world_is_good', ['joy_index'])
#
# Define Organs and their associated messages
#
sensor = Sensor('check_roll', dice_sensor, buzz)
interpreter = Interpreter('was_it_good_roll', roll_interpreter, buzz, belief,
belief_updater=True)
#
# Initialize Agent
#
agent = Agent('test_agent', strict_engine=True)
agent.set_organ(sensor)
agent.set_organ(interpreter)
beliefs = []
for k in range(0, 5):
agent.sense('check_roll')
agent.interpret('was_it_good_roll')
beliefs.append(agent.belief['world_is_good'].values()[0])
assert (beliefs == REF_OUTCOME)
def test_main():
a1 = Agent('A1')
a2 = Agent('A2')
ams = ABC('dummy', [a1, a2], 1, 2)
a1.create_socket('tester', 'sense', 'S1', True)
a1.socket_offered['tester'].whitelist.add(a2.agent_id_system)
SOCK1 = [('tester', a1.socket_offered['tester'].token)]
a2.create_socket('tester', 'sense', 'S2', True)
a2.socket_offered['tester'].whitelist.add(a1.agent_id_system)
SOCK2 = [('tester', a2.socket_offered['tester'].token)]
#
# Agent 1 connects to socket of Agent 2 and executes
#
ttt1 = SOCK2[0][1]
conn = a1.connect_to(a2, 'tester', ttt1)
conn.execute()
conn.close()
assert (a2.buzz['stuff'].values()[0] == 2)
a2.sense('S2')
assert (a2.buzz['stuff'].values()[0] == 2)
try:
v = a1.buzz['stuff'].values()
raise AssertionError('Agent 1 Buzz non-empty despite not executed')
except EmptyFlashError:
pass
a1.sense('S1')
assert (a1.buzz['stuff'].values()[0] == 1)
try:
conn = a2.connect_to(a1, 'tester', -1)
raise AssertionError('Faulty token not caught')
except SocketConnectionError:
pass
try:
conn.execute()
raise AssertionError('Did raise exception with unopened connection')
except RuntimeError:
pass
def test_main():
buzz = Buzz('nose_tingle', ['nerve_1', 'nerve_2'])
sensor = Sensor('smell_the_roses', smeller, buzz)
belief = Belief('world_blossoms', ['certainty'])
interpreter = Interpreter('does_the_world_blossom', nerve_analyzer, buzz,
belief)
direction = Direction('words_to_say', ['first_word', 'second_word'])
moulder = Moulder('what_to_say', word_smith, belief, direction)
actuator = Actuator('say_it',
speak,
direction,
actuator_func_kwargs={'well': True})
agent = Agent('simple human', strict_engine=True)
agent.set_organs(sensor, interpreter, moulder, actuator)
agent.sense('smell_the_roses')
agent.interpret('does_the_world_blossom')
agent.mould('what_to_say')
agent.act('say_it')
agent.sense('smell_the_roses')
agent.interpret('does_the_world_blossom')
agent.mould('what_to_say')
agent.act('say_it')
agent.sense('smell_the_roses')
agent.interpret('does_the_world_blossom')
agent.mould('what_to_say')
agent.act('say_it')
agent.sense('smell_the_roses')
agent.interpret('does_the_world_blossom')
agent.mould('what_to_say')
agent.act('say_it')
agent.sense('smell_the_roses')
agent.interpret('does_the_world_blossom')
agent.mould('what_to_say')
agent.act('say_it')
assert (read_env() == REF)
def test_main():
agent_core = Agent('Coordinator')
essence = Essence('Coordinator Essence', ('param_1', 'param_2', 'param_3',
'param_4', 'param_5', 'param_6'))
essence.set_values([1.0,2.0,3.0,4.0,5.0,6.0])
resource = Resource('Coordinator Resource', ('Energy Status',))
resource.set_values([75.0])
agent_core.set_scaffolds(essence, resource)
agents = [agent_core]
nodes = [Node('Central', agent_core)]
for k in range(4):
agent = Agent('Sensor Leaf %s' %(str(k)), strict_engine=True)
essence = Essence('Sensor Essence', ('Sensitivity', 'Quality'))
essence.set_values([78.0 + float(k), 99.0])
resource = Resource('Sensor Resource', ('Battery Power',))
resource.set_values([100.0 - 3.0 * k])
buzz = Buzz('Power Spectrum Sample', ('amplitude_max', 'freq_mode'))
belief = Belief('Is There Motion', ('size', 'speed'))
motion_classifier = Interpreter('From Freq to Object', pw2obj, buzz, belief)
agent.set_scaffolds(essence, resource)
agent.set_messages(buzz, belief)
agent.set_organ(motion_classifier)
agents.append(agent)
nodes.append(Node('Sensor', agent, LocalEnv(k * k)))
nodes.append(Node('dummy', None))
nodes.append(Node('dummy', None))
star_graph = nx.generators.classic.star_graph(nodes)
ams = House('A House', agents, star_graph)
for node in ams:
agent = node.agent_content
if not agent is None:
if 'Is There Motion' in agent.belief:
agent.sense('Feel microwaves')
agent.interpret('From Freq to Object')
central_a_sampler = AgentSampler('central_sampler',
essence_args=[('Coordinator Essence', 'param_2'),
('Coordinator Essence', 'param_6')],
resource_args=[('Coordinator Resource', 'Energy Status')],
agent_matcher=_match_c)
leaf_a_sampler = AgentSampler('leaf_sampler',
resource_args=[('Sensor Resource', 'Battery Power')],
belief_args=[('Is There Motion', 'size'),
('Is There Motion', 'speed')],
agent_matcher=_match_l)
env_sampler = EnvSampler('env_sampler', env_stuff, agent_matcher=_match_l)
graph_sampler = GraphSampler('g_sampler', lambda x: x.name)
io = SystemIO()
io.set_write_rule('central', central_a_sampler, 'to_csv')
io.set_write_rule('leaf', leaf_a_sampler, 'to_csv')
io.set_write_rule('env', env_sampler, 'to_json')
io.set_write_rule('graph_props', graph_sampler, 'gexf.write_gexf')
io.try_stamp(ams, 0)
exist_1 = os.path.isfile('central0.csv')
exist_2 = os.path.isfile('leaf0.csv')
exist_3 = os.path.isfile('env0.json')
exist_4 = os.path.isfile('graph_props0.gexf')
assert (exist_1)
assert (exist_2)
assert (exist_3)
assert (exist_4)
if exist_1:
data = open('central0.csv').read()
assert ('essence:Coordinator Essence:param_2,2.0' in data)
assert ('essence:Coordinator Essence:param_6,6.0' in data)
assert (not 'essence:Coordinator Essence:param_1' in data)
assert (not 'essence:Coordinator Essence:param_3' in data)
assert (not 'essence:Coordinator Essence:param_4' in data)
assert (not 'essence:Coordinator Essence:param_5' in data)
assert ('resource:Coordinator Resource:Energy Status,75.0' in data)
os.remove('central0.csv')
if exist_2:
data = open('leaf0.csv').read()
assert ('0,Sensor Leaf 0,' in data)
assert ('0,Sensor Leaf 1,' in data)
assert ('0,Sensor Leaf 2,' in data)
assert ('0,Sensor Leaf 3,' in data)
assert ('belief:Is There Motion:size,small' in data)
assert (not 'belief:Is There Motion:size,large' in data)
assert ('belief:Is There Motion:speed,fast' in data)
assert ('belief:Is There Motion:speed,slow' in data)
assert ('belief:Is There Motion:speed,n/a' in data)
os.remove('leaf0.csv')
if exist_3:
data = open('env0.json').read()
assert ('"[0,"Sensor Leaf 0"' in data)
assert ('"[0,"Sensor Leaf 1"' in data)
assert ('"[0,"Sensor Leaf 2"' in data)
assert ('"[0,"Sensor Leaf 3"' in data)
assert ('"env_stuff"]":0' in data)
assert ('"env_stuff"]":1' in data)
assert ('"env_stuff"]":4' in data)
assert ('"env_stuff"]":9' in data)
os.remove('env0.json')
if exist_4:
data = open('graph_props0.gexf').read().split('\n')
REFS = ['Sensor_0', 'Sensor_1', 'Sensor_2', 'Sensor_3',
'unoccupied_0', 'unoccupied_1']
for row in data:
if '<edge ' in row:
assert ('"Central"' in row)
for r in REFS:
if r in row:
REFS.remove(r)
break
else:
raise AssertionError('Missed node %s' %(r))
assert (len(REFS) == 0)
os.remove('graph_props0.gexf')