def test_main():
resource = Resource('poison in body', ['amount', 'kind'])
resource.set_values([10.0, 'mercury'])
agent = Agent('thin agent', strict_engine=True)
agent.set_scaffold(resource)
ams = AgentManagementSystem('exterior laws', [agent])
mapper = ResourceMap('scale down', 'scale', 'amount', ('factor', ))
kwargs = {
'poison_amount_getter': lambda: agent.resource['amount'],
'doodle': 2.0
}
compulsion = Compulsion('natural decay',
simple_decline,
mapper,
compel_func_kwargs=kwargs)
ams.set_law(compulsion)
count = 0
for agent in ams.shuffle_nodes(True, 5, False):
before = agent.resource['amount']
ams.compel(agent, 'natural decay')
after = agent.resource['amount']
assert (before == REF[count][0])
assert (after == REF[count][1])
count += 1
def test_main(set_random):
essence = Essence('inclinations', ['t_1', 't_2', 't_3', 't_4', 't_5'])
essence.set_values([0.0, 0.0, 0.0, 0.0, 0.0])
agent = Agent('thin agent', strict_engine=True)
agent.set_scaffold(essence)
ams = AgentManagementSystem('exterior laws', [agent])
mapper_1 = EssenceMap('tweak', 'wiener', 't_1', ('range_step', ))
mapper_2 = EssenceMap('tweak', 'wiener', 't_2', ('range_step', ))
mapper_3 = EssenceMap('tweak', 'wiener', 't_3', ('range_step', ))
mapper_4 = EssenceMap('tweak', 'wiener', 't_4', ('range_step', ))
mapper_5 = EssenceMap('tweak', 'wiener', 't_5', ('range_step', ))
mapper = MapCollection([mapper_1, mapper_2, mapper_3, mapper_4, mapper_5])
mutate = MultiMutation('jumps', lambda: 1.0, mapper, mutation_prob=0.5)
ams.set_law(mutate)
vals = agent.essence.values()
assert (all([x == pytest.approx(y) for x, y in zip(vals, REF[0])]))
ams.mutate(agent, 'jumps')
vals = agent.essence.values()
assert (all([x == pytest.approx(y) for x, y in zip(vals, REF[1])]))
ams.mutate(agent, 'jumps')
vals = agent.essence.values()
assert (all([x == pytest.approx(y) for x, y in zip(vals, REF[2])]))
ams.mutate(agent, 'jumps')
vals = agent.essence.values()
assert (all([x == pytest.approx(y) for x, y in zip(vals, REF[3])]))
ams.mutate(agent, 'jumps')
vals = agent.essence.values()
assert (all([x == pytest.approx(y) for x, y in zip(vals, REF[4])]))
def test_main(set_random):
essence = Essence('inclinations', ['t_1', 't_2', 'volatility'])
essence.set_values([0.7, 1.5, 0.5])
agent = Agent('thin agent', strict_engine=True)
agent.set_scaffold(essence)
ams = AgentManagementSystem('exterior laws', [agent])
mapper_1 = EssenceMap('tweak_1', 'wiener', 't_1', ('range_step', ))
mapper_2 = EssenceMap('tweak_2', 'wiener', 't_2', ('range_step', ))
mutate_1 = Mutation('jumps_1',
essence.__getitem__,
mapper_1,
mutation_prob=0.5,
mutate_func_kwargs={'key': 'volatility'})
mutate_2 = Mutation('jumps_2',
essence.__getitem__,
mapper_2,
mutation_prob=0.5,
mutate_func_kwargs={'key': 'volatility'})
ams.set_laws(mutate_1, mutate_2)
assert (all([
a == pytest.approx(b) for a, b in zip(agent.essence.values(), REF[0])
]))
ams.mutate(agent, 'jumps_1')
assert (all([
a == pytest.approx(b) for a, b in zip(agent.essence.values(), REF[1])
]))
ams.mutate(agent, 'jumps_1')
assert (all([
a == pytest.approx(b) for a, b in zip(agent.essence.values(), REF[2])
]))
ams.mutate(agent, 'jumps_1')
assert (all([
a == pytest.approx(b) for a, b in zip(agent.essence.values(), REF[3])
]))
ams.mutate(agent, 'jumps_1')
assert (all([
a == pytest.approx(b) for a, b in zip(agent.essence.values(), REF[4])
]))
ams.mutate(agent, 'jumps_2')
assert (all([
a == pytest.approx(b) for a, b in zip(agent.essence.values(), REF[5])
]))
ams.mutate(agent, 'jumps_2')
assert (all([
a == pytest.approx(b) for a, b in zip(agent.essence.values(), REF[6])
]))
ams.mutate(agent, 'jumps_2')
assert (all([
a == pytest.approx(b) for a, b in zip(agent.essence.values(), REF[7])
]))
ams.mutate(agent, 'jumps_2')
assert (all([
a == pytest.approx(b) for a, b in zip(agent.essence.values(), REF[8])
]))
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 test_main():
resource = Resource('harvest', ('wheat', 'rye', 'barley', 'oats'))
resource.set_values([35.0, 12.0, 8.0, 6.0])
agent1 = Agent('farmer Joe', strict_engine=True)
agent1.set_scaffold(resource)
resource = Resource('food producer', ('wheat', 'rye', 'barley', 'oats',
'cash_on_hand'))
resource.set_values([0.0, 0.0, 0.0, 0.0, 100.0])
agent2 = Agent('yummy Inc', strict_engine=True)
agent2.set_scaffold(resource)
ams = AgentManagementSystem('food market', [agent1, agent2])
uuid_of_yummy = list(ams.agents_in_scope.values())[1].agent_id_system
mapper = ResourceMap('cash loss', 'scale', 'cash_on_hand', ('factor',))
amort = Compulsion('amortization', interest_rate, mapper)
ams.set_law(amort)
mapper_wheat = ResourceMap('loss of wheat', 'scale', 'wheat', ('factor',))
mapper_rye = ResourceMap('loss of rye', 'scale', 'rye', ('factor',))
mapper_barley = ResourceMap('loss of barley', 'scale', 'barley', ('factor',))
mapper_oats = ResourceMap('loss of oats', 'scale', 'oats', ('factor',))
mapper_cereal = MapCollection([mapper_wheat, mapper_rye, mapper_barley, mapper_oats])
sloppy = Compulsion('sloppy', lambda : 4*[0.88], mapper_cereal)
ams.set_law(sloppy)
ams.make_lawbook_entry(['sloppy'], agent_name_selector=farm_name_test)
ams.make_lawbook_entry(['amortization'], agent_ids=[uuid_of_yummy])
for agent in ams.cycle_nodes(True, 2):
ams.engage_all_verbs(agent, validate_lawbook=True)
vals1 = agent1.resource.values()
vals2 = agent2.resource.values()
assert (vals1 == REF1)
assert (vals2 == REF2)
ams.compel(agent2, 'sloppy')
try:
ams.compel(agent2, 'sloppy', validate_lawbook=True)
except RuntimeError as e:
if 'Compulsion sloppy is not in law book' in str(e):
pass
else:
raise AssertionError('Exception was not properly raised')
try:
ams.compel(agent1, 'amortization')
except KeyError as e:
if 'cash_on_hand' in str(e):
pass
else:
raise AssertionError('Exception was not properly raised')
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 test_main():
#
# Define Messages
#
feature = Feature('colour', ('hue', 'saturation', 'lightness'))
#
# Define Scaffold
#
agent_essence = Essence('my_parameters',
('hue', 'saturation', 'lightness', 'mood'))
agent_essence.set_values([0.9, 0.4, 1.0, 'jubilant'])
slicer_of_essence = MessageOperator(
agent_essence, slice_labels=['hue', 'saturation', 'lightness'])
#
# Define Organs and their associated messages
#
cortex = Cortex('colour_revealer',
expose_distort,
slicer_of_essence,
feature,
cortex_func_kwargs={'distort_degree': 0.05})
#
# Initialize Agent
#
agent = Agent('test_agent', strict_engine=True)
agent.set_organ(cortex)
agent.set_scaffold(agent_essence)
#
# Tickle the cortex
#
tickle_me_1 = agent.tickle('colour_revealer')
for val, ref_val in zip(tickle_me_1.values(), REF1):
assert (val == pytest.approx(ref_val, abs=1e-3))
tickle_me_2 = agent.tickle('colour_revealer')
for val, ref_val in zip(tickle_me_2.values(), REF2):
assert (val == pytest.approx(ref_val, abs=1e-3))
agent_essence.set_values([0.0, 0.0, 0.0, 'hey'])
tickle_me_3 = agent.tickle('colour_revealer')
for val, ref_val in zip(tickle_me_3.values(), REF3):
assert (val == pytest.approx(ref_val, abs=1e-3))
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
#
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 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])