def test_threads(self, output=False):
agent = Agent(output=output)
memory = Memory(agent)
memory.add(isa='item')
memory.add(isa='digit', value=1)
memory.add(isa='number', value='three')
speech = Speech(agent)
def thread2():
for _ in range(2):
number = memory.recall(isa='number')
speech.say(number.value)
agent.run_thread(thread2)
agent.wait(.100)
def thread3():
for _ in range(2):
memory.recall('digit')
agent.run_thread(thread3)
for _ in range(2):
memory.recall('item')
agent.wait_for_all()
self.assertAlmostEqual(1.200, agent.time(), 2)
def test_instruction_read(self, output=False):
agent = Agent(output=output)
memory = Memory(agent)
env = Environment()
vision = Vision(agent, env.display)
audition = Audition(agent, env.speakers)
def interpreter(words):
if words[0] == 'read':
sem = Item(isa='action', type='read', object=words[1])
pointer = vision.find(isa='pointer')
if pointer is not None:
vision.encode(pointer)
sem.set('x', pointer.x).set('y', pointer.y)
return sem
elif words[0] == 'done':
return Item(isa='done')
else:
return Item(isa='action', type=words[0], object=words[1])
language = Language(agent)
language.add_interpreter(interpreter)
def executor(action, context):
query = Query(x=action.x, y=action.y)
context.set(action.object, vision.find_and_encode(query))
instruction = Instruction(agent, memory, audition, language)
instruction.add_executor(executor)
equation = ['3', 'x', '/', '12', '=', '15', '/', '4']
for i in range(0, len(equation)):
env.display.add_text(50 + 50 * i, 50, equation[i])
pointer = env.display.add(50, 50, 1, 1, 'pointer', 'pointer')
speech = [
'to solve', ['read a', (50, 50)], ['read A', (300, 50)], 'done'
]
def thread():
for line in speech:
agent.wait(3.0)
if isinstance(line, str):
audition.add(Aural(isa='speech'), line)
else:
audition.add(Aural(isa='speech'), line[0])
loc = line[1]
pointer.move(loc[0], loc[1])
agent.run_thread(thread)
goal = instruction.listen_and_learn()
self.assertEqual('solve', goal)
context = instruction.execute(goal)
self.assertEqual('3', context.a)
self.assertEqual('15', context.A)
agent.wait_for_all()
def test_agent(self, output=False):
agent = Agent(output=output)
agent.wait(10.0)
self.assertAlmostEqual(10.0, agent.time(), 2)
agent.run_thread(lambda: agent.wait(5.0))
agent.wait(2.0)
self.assertAlmostEqual(12.0, agent.time(), 2)
agent.wait_for_all()
self.assertAlmostEqual(15.0, agent.time(), 2)
def run_trial(self):
agent = Agent(output=False)
memory = Memory(agent, Memory.OPTIMIZED_DECAY)
memory.decay_rate = .5
memory.activation_noise = .5
memory.retrieval_threshold = -1.8
memory.latency_factor = .450
vision = Vision(agent)
typing = Typing(Hands(agent))
self.trial_start = 0
self.block_index = 0
def fn():
for i in range(PairedAssociatesTest.N_BLOCKS):
self.block_index = i
pairs = PairedAssociatesTest.PAIRS.copy()
random.shuffle(pairs)
for pair in pairs:
self.trial_start = agent.time()
vision.clear().add(Visual(50, 50, 20, 20, 'word'), pair[0])
agent.wait(5.0)
vision.clear().add(
Visual(50, 50, 20, 20, 'digit'), pair[1])
agent.wait(5.0)
agent.run_thread(fn)
def type_fn(c):
self.rt.add(self.block_index, agent.time() - self.trial_start)
typing.add_type_fn(type_fn)
for i in range(PairedAssociatesTest.N_BLOCKS):
for _ in range(len(PairedAssociatesTest.PAIRS)):
word = vision.encode(vision.wait_for(isa='word'))
chunk = memory.recall(word=word)
if chunk:
typing.type(chunk.get('digit'))
self.correct.add(i, 1)
else:
self.correct.add(i, 0)
digit = vision.encode(vision.wait_for(isa='digit'))
memory.store(word=word, digit=digit)
agent.wait_for_all()
def test_instruction_type(self, output=False):
agent = Agent(output=output)
env = Environment()
memory = Memory(agent)
vision = Vision(agent, env.display)
audition = Audition(agent, env.speakers)
motor = Motor(agent, vision, env)
def interpreter(words):
if words[0] == 'read':
sem = Item(isa='action', type='read', object=words[1])
pointer = vision.find(isa='pointer')
if pointer is not None:
vision.encode(pointer)
sem.set('x', pointer.x).set('y', pointer.y)
return sem
elif words[0] == 'done':
return Item(isa='done')
else:
return Item(isa='action', type=words[0], object=words[1])
language = Language(agent)
language.add_interpreter(interpreter)
def executor(action, context):
if action.type == 'read':
query = Query(x=action.x, y=action.y)
context.set(action.object, vision.find_and_encode(query))
elif action.type == 'type':
motor.type(context.get(action.object))
instruction = Instruction(agent, memory, audition, language)
instruction.add_executor(executor)
typed = []
def type_handler(key):
typed.append(key)
env.keyboard.add_type_fn(type_handler)
env.display.add_text(50, 50, 'a')
pointer = env.display.add(50, 50, 1, 1, 'pointer', 'pointer')
speech = ['to type', ['read letter', (50, 50)], 'type letter', 'done']
def thread():
for line in speech:
agent.wait(3.0)
if isinstance(line, str):
audition.add(Aural(isa='speech'), line)
else:
audition.add(Aural(isa='speech'), line[0])
loc = line[1]
pointer.move(loc[0], loc[1])
agent.run_thread(thread)
goal = instruction.listen_and_learn()
self.assertEqual('type', goal)
context = instruction.execute(goal)
self.assertEqual('a', context.letter)
agent.wait_for_all()
self.assertEqual(['a'], typed)