def __init__(self, name, rude, loud, big, foul):
super().__init__(name, strict_engine=True)
resource = Resource('Storage', ('item_1', 'item_2', 'External gene'))
resource.set_values([2, 4, 0])
essence = Essence('Persona', ('rude', 'loud', 'big', 'foul'))
essence.set_values([rude, loud, big, foul])
self.set_scaffolds(resource, essence)
buzz = Buzz('Env Feeling', ('gene_bump', ))
belief = Belief('Gene in Env', ('yes_no', ))
interpreter = Interpreter('Is gene in env?', lambda x: x, buzz, belief)
direction_r = Direction('Receive', ('yes_no', ))
moulder_r = Moulder('Receive gene', lambda x: x, belief, direction_r)
belief_eject = Belief('Time to eject', ('yes_no', ))
direction_e = Direction('Eject', ('payload', ))
r1_map = ResourceMap('item1', 'delta', 'item_1', ('value', ))
r2_map = ResourceMap('item2', 'delta', 'item_2', ('value', ))
r_map = MapCollection([r1_map, r2_map])
moulder_e = Moulder('Eject gene', self.ejector, belief_eject,
direction_e, r_map)
consume_payload = ResourceMap('consume', 'reset', 'External gene',
('value', ))
moulder_cross = Moulder('Make cross-over baby', self.make_baby, None,
direction_e, consume_payload)
self.set_organs(interpreter, moulder_r, moulder_e, moulder_cross)
self.set_messages(buzz, belief, direction_r, direction_e)
def test_main():
#
# Define Messages
#
belief = Belief('stressed', ('degree', ))
belief.set_values(10.0)
direction1 = Direction('collect_amount', ('intake_volume', ))
#
# Define Scaffold and Map for it
#
agent_resources = Resource('internal_molecules', ('A', 'B', 'C'))
agent_resources.set_values([2.0, 1.0, 0.5])
added_a = ResourceMap('get_A', 'delta_scale', 'A', (
'add',
'dilute',
))
added_b = ResourceMap('get_B', 'delta_scale', 'B', (
'add',
'dilute',
))
added_c = ResourceMap('get_C', 'delta_scale', 'C', (
'add',
'dilute',
))
add_internal = MapCollection([added_a, added_b, added_c])
#
# Define Organs and their associated messages
#
moulder1 = Moulder('discard_or_not', make_decision, belief, direction1)
env = Env()
actuator1 = Actuator('collect', env.excretor, direction1, add_internal)
#
# Initialize Agent
#
agent = Agent('test_agent', strict_engine=True)
agent.set_organ(moulder1)
agent.set_organ(actuator1)
agent.set_scaffold(agent_resources)
#
# Decide on direction and execute action
#
agent.mould('discard_or_not')
agent.act('collect')
for mol in REF:
assert (isclose(REF[mol], agent.resource[mol], abs_tol=0.0001))
try:
agent.act('collect')
raise AssertionError(
'Acting twice in sequence did not raise correct exception')
except EmptyFlashError:
pass
def __init__(self, name):
super().__init__(name, strict_engine=True)
essence = Essence('Trusting', ('degree',))
essence.set_values([100.0])
belief = Belief('Knowledge', ('path to water', 'time to sow'))
belief.set_values(['dummy_instruction_1', 20180101])
direction = Direction('Share this', ('knowledge label', 'knowledge unit'))
moulder = Moulder('What to share', self.what_to_share, belief, direction,
essence_op_input=essence)
self.set_organ(moulder)
self.set_scaffold(essence)
self.set_message(belief)
def __init__(self, name, intent, strength, precision):
super().__init__(name)
essence = Essence('Skills', ('strength', 'precision'))
essence.set_values([strength, precision])
belief = Belief('Intent to kill', ('yes_no', ))
belief.set_values([intent])
direction = Direction('Push spear outward', ('yes_no', ))
moulder = Moulder('Attempt to kill', lambda x: x, belief, direction)
self.set_organ(moulder)
self.set_messages(belief, direction)
self.set_scaffold(essence)
def __init__(self, name):
super().__init__(name, True)
essence = Essence('Trusting', ('degree',))
essence.set_values([10.0])
belief = Belief('Knowledge', ('path to water', 'time to sow'))
belief.set_values(['stupid_idea', 20180731])
buzz = Buzz('Knowledge feed', ('words',))
interpreter = Interpreter('Should I accept teaching',
self.what_to_accept, buzz, belief,
essence_op_input=essence,
belief_updater=True)
self.set_organ(interpreter)
self.set_scaffold(essence)
self.set_message(buzz)
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 __init__(self, name, diameter_init, energy_init, essence_value):
super().__init__(name, strict_engine=True)
belief = Belief('The diameter of the world', ('value', 'precision'))
belief.set_values([diameter_init, 10.0])
resource = Resource('Dietary energy', ('value',))
essence = Essence('Persistence', ('value',))
resource.set_values(energy_init)
essence.set_values(essence_value)
self.set_scaffolds(resource, essence)
metabolism = ResourceMap('Dietary energy adjustment', 'delta', 'value', ('shift',))
interpreter = Interpreter('Contemplate', self.contemplation, belief, belief,
metabolism)
self.set_organ(interpreter)
def test_main():
# Not fully implemented
assert 1==2
battery = Resource('battery power', ('potential',))
battery.set_values(0.401)
suck_power = ResourceMap('suck power', 'delta', 'potential', ('reduction',))
b1 = Buzz('sound stimulation', ('band_1', 'band_2', 'band_3'))
s1 = Sensor('sound in surrounding', listen, b1, suck_power)
belief_1 = Belief('The word was spoken', ('probability',))
int1 = Interpreter('Was the word spoken?', word_estimator, b1, belief_1)
dir_1 = Direction('follow up request', ('word_section_1', 'word_section_2',
'word_section_3', 'word_section_4'))
moul1 = Moulder('What response to give', responder, belief_1, dir_1)
a1 = Actuator('loudspeaker vibrations', loudspeaker_api, dir_1, suck_power)
moul2 = Moulder('Select warn statement', warn_statement, None, dir_1,
resource_op_input=battery)
bc = AutoBeliefCondition('Sufficiently confident of word spoken',
lambda p: p > 0.75, 'The word was spoken')
rc = AutoResourceCondition('Sufficient power left',
lambda pot: pot > 0.2, 'potential')
clausul_1 = Clause('listen for the word',
[('sense', 'sound in surrounding'),
('interpret', 'Was the word spoken?')],
condition=bc)
clausul_2 = Clause('say something to the user',
[('mould', 'What response to give'),
('act', 'loudspeaker vibrations')])
clausul_3 = Clause('power check', condition=rc)
clausul_4 = Clause('power warn',
[('mould', 'Select warn statement'),
('act', 'loudspeaker vibrations')])
plan = Plan('Clever stuff')
plan.add_cargo('pronounce', 'listen for the word')
plan.add_cargo('pronounce', 'say something to the user')
plan.add_cargo('pronounce', 'power check')
plan.add_cargo('pronounce', 'power warn')
plan.add_dependency(2, 0, 3)
plan.add_dependency(0, 1)
plan.stamp_and_approve()
agent = Agent('smart loudspeaker')
agent.set_organs(s1, int1, moul1, moul2, a1)
agent.set_messages(b1, belief_1, dir_1)
agent.set_scaffold(battery)
agent.set_policies(clausul_1, clausul_2, clausul_3, clausul_4, plan)
agent.enact('Clever stuff')
agent.enact('Clever stuff')
agent.enact('Clever stuff')
agent.enact('Clever stuff')
def __init__(self, name, e1, e2, r1, r2, b1, b2):
super().__init__(name, strict_engine=True)
essence = Essence('Bacteria Essence', ['E1', 'E2'])
essence.set_values([e1, e2])
resource = Resource('Bacteria Resource', ['R1', 'R2'])
resource.set_values([r1, r2])
belief = Belief('Bacteria Belief', ['B1', 'B2'])
belief.set_values([b1, b2])
self.set_scaffolds(essence, resource)
self.set_message(belief)
imprints = self.get_imprint_repr()
total_a_sampler = AgentSampler('full_state',
resource_args=imprints['resource'],
essence_args=imprints['essence'],
belief_args=imprints['belief'])
self.set_sampler(total_a_sampler)
def test_main():
# Define Messages
#
buzz = Buzz('audio_trigger',
(tuple(['a' + str(n) for n in range(1, 20)]), ))
belief = Belief('trigger_spoken', ['probability'])
direction = Direction('say_this', ['sentence'])
#
# Define Organs and their associated messages
#
env = Env()
sensor = Sensor('listen', env.ear, buzz)
interpreter = Interpreter('was_trigger_word_spoken', trigger_word, buzz,
belief)
moulder = Moulder('follow_up_question', question_maker, belief, direction)
actuator = Actuator('speak', env.mouth, direction)
#
# Autonomous constraints
#
belief_condition = AutoBeliefCondition('heard_it', lambda x: x > 0.9,
'trigger_spoken')
#
# Plan
#
clause_1 = Clause('sound_trigger',
[('sense', 'listen'),
('interpret', 'was_trigger_word_spoken')],
condition=belief_condition)
clause_2 = Clause('response_formation', [('mould', 'follow_up_question'),
('act', 'speak')])
heart = Heartbeat('beater', max_ticker=N_HEARTS)
#
# Initialize Agent
#
agent = SlimAgent('test_agent')
agent.set_organ(sensor)
agent.set_organ(interpreter)
agent.set_organ(moulder)
agent.set_organ(actuator)
agent.set_policy(clause_1)
agent.set_policy(clause_2)
agent.set_policy(heart)
agent()
assert (env.env_interactions == REF)
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 __init__(self, name, n_people, n_fishes, n_potato, how_low, max_fish):
super().__init__(name)
#
# Resources
#
village_resource = Resource('village items',
['n_fishes', 'n_potato', 'n_people'])
village_resource.set_values([n_fishes, n_potato, n_people])
self.set_scaffold(village_resource)
village_food = MessageOperator(village_resource,
slice_labels=['n_fishes', 'n_potato'])
#
# Essence
#
disposition = Essence('disposition', ['how_low', 'max_extraction'])
disposition.set_values([how_low, max_fish])
self.set_scaffold(disposition)
#
# Belief
#
fish_status = Belief('must fish', ['assessment'])
potato_status = Belief('must grow', ['assessment'])
trust_in_neigh = Belief('trust of neighbours', ['degree'])
self.set_messages(fish_status, potato_status, trust_in_neigh)
food_belief = MessageOperator([fish_status, potato_status],
extend=True)
#
# Flash messages
#
direct_fishing_act = Direction('go fish like this',
['number_boats', 'upper_limit'])
direct_grow_act = Direction('go grow field like this',
['number_farmers'])
self.set_messages(direct_fishing_act, direct_grow_act)
direct_food_acquisition = MessageOperator(
[direct_fishing_act, direct_grow_act], extend=True)
#
# Organs
#
stock_ok = Interpreter('storage conditions',
self.check_storage,
None,
food_belief,
resource_op_input=village_food,
essence_op_input=XXX)
get_food = Moulder('how to acquire food', self.food_instructions,
food_belief, direct_food_acquisition)
self.set_organs(stock_ok, get_food)
#
# Survival condition
#
heart_cond = AutoResourceCondition('still alive', lambda x: x > 0,
('n_people', ))
heart = Heartbeat('alive', (heart_cond, ))
self.set_policies(heart)
def test_main():
#
# Define Messages
#
belief = Belief('Projectile status', ('speed', 'height', 'angle'))
belief.set_values([100.0, 0.3, 0.2])
direction = Direction('motion', ('horizontal direction',
'horizontal magnitude',
'vertical direction',
'vertical magnitude'))
#
# Define Scaffold and Map for it
#
agent_resources = Resource('internal_resource', ('internal_energy',))
agent_resources.set_values(20.0)
change_energy = ResourceMap('adjust_energy', 'delta', 'internal_energy', ('expend_energy',))
#
# Define Organs and their associated messages
#
moulder = Moulder('take evasive action?', make_decision,
belief, direction,
change_energy)
splitter_1 = MessageOperator(direction, slice_labels=['horizontal direction',
'horizontal magnitude'])
splitter_2 = MessageOperator(direction, slice_labels=['vertical direction',
'vertical magnitude'])
actuator1 = Actuator('move left right', move_rule_horizontal, splitter_1)
actuator2 = Actuator('move up down', move_rule_vertical, splitter_2)
#
# Initialize Agent
#
agent = Agent('test_agent', strict_engine=True)
agent.set_organ(moulder)
agent.set_organ(actuator1)
agent.set_organ(actuator2)
agent.set_scaffold(agent_resources)
agent.set_message(belief)
#
# Decide on direction and execute action
#
agent.mould('take evasive action?')
agent.act('move up down')
agent.act('move left right')
assert (agent.resource['internal_energy'] == REF_E[0])
belief.set_values([100.0, 1.3, -0.5])
agent.mould('take evasive action?')
agent.act('move up down')
agent.act('move left right')
assert (agent.resource['internal_energy'] == REF_E[1])
for e1, e2 in zip(REPO, REF_REPO):
assert(e1 == e2)
try:
agent.act('move up down')
raise AssertionError('Action without preceding moulding did not raise exception')
except EmptyFlashError:
pass
else:
raise AssertionError('Action without preceding moulding did not raise expected exception')
try:
agent.act('move left right')
raise AssertionError('Action without preceding moulding did not raise exception')
except EmptyFlashError:
pass
else:
raise AssertionError('Action without preceding moulding did not raise expected exception')
def test_main():
#
# Define Messages
#
belief_input_1 = Belief('hostile_neighbourhood', ['hostility_index'])
belief_input_2 = Belief('i_am_followed', ['probability'])
belief_output = Belief('i_am_about_to_be_mugged', ['best_guess'])
belief_merge_input = MessageOperator([belief_input_1, belief_input_2],
extend=True)
#
# Define Organs and their associated messages
#
interpreter = Interpreter('about_to_be_mugged', evaluate,
belief_merge_input, belief_output)
#
# Initialize Agent
#
agent = Agent('test_agent', strict_engine=True)
agent.set_organ(interpreter)
agent._set('belief', 'hostile_neighbourhood', belief_input_1)
agent._set('belief', 'i_am_followed', belief_input_2)
belief_input_1.set_values(0.8)
belief_input_2.set_values(0.95)
agent.interpret('about_to_be_mugged')
outcome_1 = agent.belief['i_am_about_to_be_mugged'].values()
belief_input_1.set_values(0.0)
belief_input_2.set_values(0.0)
agent.interpret('about_to_be_mugged')
outcome_2 = agent.belief['i_am_about_to_be_mugged'].values()
belief_input_1.set_values(0.9)
belief_input_2.set_values(1.0)
agent.interpret('about_to_be_mugged')
outcome_3 = agent.belief['i_am_about_to_be_mugged'].values()
assert (outcome_1[0] == REFVALUES[0])
assert (outcome_2[0] == REFVALUES[1])
assert (outcome_3[0] == REFVALUES[2])
def test_main():
#
# Define Messages
#
buzz = Buzz('nerve_endings', ('first', 'second'))
belief_1 = Belief('chance_of_rain', ('probability', ))
belief_2 = Belief('ambiguity_kills_me', ('mood', ))
direction = Direction('get_which_umbrella', ('any', 'colour'))
#
# Define Scaffold and Map for it
#
agent_resources = Resource('internal_resource', ('energy', ))
agent_resources.set_values([100.0])
change_energy = ResourceMap('adjust_energy', 'delta', 'energy',
('how_much', ))
#
# Define Organs and their associated messages
#
interpreter_1 = Interpreter('will_it_rain',
rain_predictor,
buzz,
belief_1,
resource_map_output=change_energy)
interpreter_2 = Interpreter('am_i_unlucky',
mood_maker,
belief_1,
belief_2,
resource_map_output=change_energy)
total_belief = MessageOperator([belief_1, belief_2], extend=True)
moulder = Moulder('fetch_umbrella_type', make_decision, total_belief,
direction, change_energy)
#
# Initialize Agent
#
agent = Agent('test_agent', strict_engine=True)
agent._set('buzz', 'nerve_endings', buzz)
agent.set_organ(moulder)
agent.set_organ(interpreter_1)
agent.set_organ(interpreter_2)
agent.set_scaffold(agent_resources)
#
# Decide on direction and execute action
#
agent.buzz['nerve_endings'].set_values([0.2, 0.2])
agent.interpret('will_it_rain')
agent.interpret('am_i_unlucky')
agent.mould('fetch_umbrella_type')
assert (agent.direction['get_which_umbrella'].values() == REF[0])
assert (agent.resource.values()[0] == pytest.approx(REF_RESOURCE[0]))
agent.buzz['nerve_endings'].set_values([1.0, 0.6])
agent.interpret('will_it_rain')
agent.interpret('am_i_unlucky')
agent.mould('fetch_umbrella_type')
assert (agent.direction['get_which_umbrella'].values() == REF[1])
assert (agent.resource.values()[0] == pytest.approx(REF_RESOURCE[1]))
agent.buzz['nerve_endings'].set_values([1.0, 2.6])
agent.interpret('will_it_rain')
agent.interpret('am_i_unlucky')
agent.mould('fetch_umbrella_type')
assert (agent.direction['get_which_umbrella'].values() == REF[2])
assert (agent.resource.values()[0] == pytest.approx(REF_RESOURCE[2]))
def __init__(self, name,
midpoint_share=0.0, max_share=0.0,
midpoint_gulp=0.0, max_gulp=0.0,
midpoint_tox=0.0, max_tox=0.0,
truthful_reveal=1.0, inverse_forget_rate=0.5,
birth_cost=2.0,
agent_id=None):
super().__init__(name, agent_id_system=agent_id, strict_engine=STRICT_ENGINE)
#
# Essence
unit_essence = Essence('Exterior Disposition',
('midpoint_share', 'max_share',
'midpoint_gulp', 'max_gulp',
'midpoint_tox', 'max_tox',
'truthful_reveal', 'inv_forget_rate'))
unit_essence.set_values([midpoint_share, max_share,
midpoint_gulp, max_gulp,
midpoint_tox, max_tox,
truthful_reveal, inverse_forget_rate])
self.set_scaffold(unit_essence)
# Essence reset map, convenience function for offspring creation
self.essence_map_reset = universal_map_maker(unit_essence, 'reset', ('value',))
#
# Resource
unit_resource = Resource('Internal Resources',
('info_a', 'info_b', 'info_c',
'bad_info'))
unit_resource.set_values([0.0, 0.0, 0.0, 0.0])
self.set_scaffold(unit_resource)
# Resource reset and scale map, convenience function for offspring creation
self.resource_reset = universal_map_maker(unit_resource, 'reset', ('value',))
self.resource_scale = universal_map_maker(unit_resource, 'delta_scale',
('value1', 'value2'))
# Resource operator only relating to info resource, not toxin
unit_resource_info = MessageOperator(unit_resource,
slice_labels=['info_a', 'info_b', 'info_c'])
#
# Belief
unit_belief = Belief('Surrounding', ('cooperative_env',))
unit_belief.set_values([0.0])
self.set_message(unit_belief)
#
# Interpreters
buzz = Buzz('Neighbour Cooperator', ('revealed_coop',))
self.set_message(buzz)
interpreter = Interpreter('Friendly Environment',
self._cmp_friendly_env,
buzz,
unit_belief,
belief_updater=True)
self.set_organ(interpreter)
#
# Moulders
direction = Direction('Resources to Share',
('d_info_a', 'd_info_b', 'd_info_c'))
moulder = Moulder('Share Resources', self._cmp_share_resources,
unit_belief,
direction,
resource_op_input=unit_resource_info)
self.set_organ(moulder)
direction = Direction('Fraction to Gulp', ('f_gulp',))
moulder = Moulder('Gulp from Env', self._cmp_gulp_fraction,
unit_belief,
direction)
self.set_organ(moulder)
split_resource = universal_map_maker(self.resource, 'delta_scale',
('delta', 'factor',))
direction = Direction('Offspring', ('agent_split',))
moulder = Moulder('Create Agent Offspring', self._cmp_offspring,
None,
direction,
resource_map_output=split_resource,
moulder_func_kwargs={'birth_delta':birth_cost})
self.set_organ(moulder)
direction = Direction('Lies to Eject', ('amount',))
moulder = Moulder('Eject Lies', self._cmp_lies_ejection,
unit_belief,
direction,
resource_op_input=unit_resource_info)
self.set_organ(moulder)
#
# Cortex
coop_expose = Feature('Cooperative Reveal',
('coop_with_coop',))
cortex = Cortex('Reveal Cooperation', self._cmp_cooperative_feature,
None, coop_expose)
self.set_organ(cortex)
def test_main():
#
# Define Messages
#
belief = Belief('rich_environment',
('stuff_1', 'stuff_2', 'stuff_3', 'stuff_4'))
belief.set_values([0.7, 0.3, 0.6, 0.1])
direction1 = Direction('grab_this_much', ('grab_volume', ))
direction2 = Direction('shout_loud', ('volume', ))
#
# Define Scaffold and Map for it
#
agent_resources = Resource('internal_resource',
('internal_energy', 'carrot', 'leek'))
agent_resources.set_values([100.0, 4, 5])
change_energy = ResourceMap('adjust_energy', 'delta', 'internal_energy',
('expend_energy', ))
change_carrot = ResourceMap('adjust_carrot', 'delta', 'carrot',
('tweak_carrot', ))
change_leek = ResourceMap('adjust_leek', 'delta', 'leek', ('tweak_leek', ))
hoarding_food = MapCollection([change_carrot, change_leek])
#
# Define Organs and their associated messages
#
moulder1 = Moulder('reach_and_grab', make_decision, belief, direction1,
change_energy)
moulder2 = Moulder('shout_how_much', shouter, belief, direction2)
env = Env()
actuator1 = Actuator('grab_it', env.grabber, direction1, hoarding_food)
actuator2 = Actuator('shout', env.shout_into_void, direction2)
#
# Initialize Agent
#
agent = Agent('test_agent', strict_engine=True)
agent.set_organ(moulder1)
agent.set_organ(moulder2)
agent.set_organ(actuator1)
agent.set_organ(actuator2)
agent.set_scaffold(agent_resources)
#
# Decide on direction and execute action
#
agent.mould('reach_and_grab')
agent.act('grab_it')
assert (agent.resource.values() == REF_RESOURCE_OUTCOME)
agent.mould('shout_how_much')
agent.act('shout')
agent.mould('shout_how_much')
agent.act('shout')
assert (isclose(env.loud_cumsum, 3.4))
try:
agent.act('shout')
raise AssertionError(
'Action without preceding moulding did not raise exception')
except EmptyFlashError:
pass
else:
raise AssertionError(
'Action without preceding moulding did not raise expected exception'
)
def test_main():
belief = Belief('dummy', ('a1', ))
resource = Resource('internal energy', ('level', ))
mapper = ResourceMap('eat energy', 'delta', 'level', ('shift', ))
interpreter1 = Interpreter('thinker',
lambda x: (x + 1, -1),
belief,
belief,
resource_map_output=mapper)
interpreter2 = Interpreter('thinker X',
lambda x: (x + 1, -3),
belief,
belief,
resource_map_output=mapper)
battery = AutoResourceCondition('battery left', lambda x: x > 0)
heart_1 = Heartbeat('big heart',
battery,
ticker_arithmetic=lambda: 2,
max_ticker=4)
heart_2 = Heartbeat('small heart',
battery,
ticker_arithmetic=lambda: 1,
max_ticker=4)
agent_1 = Agent('A1')
agent_1.set_organs(interpreter1, interpreter2)
belief.set_values([1])
resource.set_values([10])
agent_1.set_message(belief)
agent_1.set_scaffold(resource)
agent_1.set_policies(heart_1, heart_2)
assert (agent_1.belief['dummy'].values()[0] == REF_B1[0])
assert (agent_1.inert == REF_I1[0])
agent_1.pump('big heart')
agent_1.interpret('thinker')
assert (agent_1.belief['dummy'].values()[0] == REF_B1[1])
assert (agent_1.inert == REF_I1[1])
agent_1.pump('big heart')
agent_1.interpret('thinker')
assert (agent_1.belief['dummy'].values()[0] == REF_B1[2])
assert (agent_1.inert == REF_I1[2])
agent_1.pump('big heart')
agent_1.interpret('thinker')
assert (agent_1.belief['dummy'].values()[0] == REF_B1[3])
assert (agent_1.inert == REF_I1[3])
agent_1.revive()
assert (agent_1.inert == False)
agent_1.pump('small heart')
agent_1.interpret('thinker X')
assert (agent_1.belief['dummy'].values()[0] == REF_B2[0])
assert (agent_1.inert == REF_I2[0])
agent_1.pump('small heart')
agent_1.interpret('thinker X')
assert (agent_1.belief['dummy'].values()[0] == REF_B2[1])
assert (agent_1.inert == REF_I2[1])
agent_1.pump('small heart')
agent_1.interpret('thinker X')
assert (agent_1.belief['dummy'].values()[0] == REF_B2[2])
assert (agent_1.inert == REF_I2[2])
agent_1.pump('small heart')
agent_1.interpret('thinker X')
assert (agent_1.belief['dummy'].values()[0] == REF_B2[3])
assert (agent_1.inert == REF_I2[3])
agent_1.pump('small heart')
agent_1.interpret('thinker X')
assert (agent_1.belief['dummy'].values()[0] == REF_B2[4])
assert (agent_1.inert == REF_I2[4])
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')
