def test_unit_restore(): unit = Unit(get_conf( UNIT_INPUT_HEIGHT=2, UNIT_INPUT_WIDTH=4, UNIT_OUTPUT_WIDTH=4 )) messages = [ ( from_plain_signal(i % 4, 4), from_plain_signal((i + 1) % 4, 4), ) for i in range(100) ] for message in messages: unit.activate(message) message = ( from_plain_signal(0, 4), None ) expected_message = ( from_plain_signal(0, 4), from_plain_signal(1, 4), ) restored_message = unit.restore(message) assert restored_message[0] == expected_message[0], 'first signal should be exactly the same' assert to_plain_signal(restored_message[1]) == to_plain_signal(expected_message[1])
class TimeUnit: """ This type of unit accepts only one signal per activation, but can predict next signals """ KEY = 'time_unit' def __init__(self, conf, data=None): assert conf.TIME_UNIT_BASE_SIGNALS_NUMBER <= conf.UNIT_INPUT_HEIGHT self.conf = conf if data: self.unit = Unit(conf, data=data['unit']) else: self.unit = Unit(conf) self._buffer = Buffer([], size=self.conf.UNIT_INPUT_HEIGHT) def get_data(self): return { '_key': self.KEY, 'unit': self.unit.get_data(), } def activate(self, signal, learn=True): """ Put signal to the unit :param signal: signal to activate :param learn: is learning enabled :return: output signal of this unit """ self._buffer.push(signal) learn = learn and all(self._buffer) return self.unit.activate(tuple(self._buffer), learn=learn) def reset(self): """ Forget all last signals (but not patterns). While unit has not enough signals, prediction is not be possible """ self._buffer = Buffer([], size=self.conf.UNIT_INPUT_HEIGHT) def get_prediction(self): """ :return: predicted signals """ signals_to_predict = self.conf.UNIT_INPUT_HEIGHT - self.conf.TIME_UNIT_BASE_SIGNALS_NUMBER signals = list(self._buffer)[signals_to_predict:] + [None] * signals_to_predict restored_signals = self.unit.restore(signals) predicted_signals = restored_signals[-signals_to_predict:] return predicted_signals
def test_unit_restore(): unit = Unit( get_conf(UNIT_INPUT_HEIGHT=2, UNIT_INPUT_WIDTH=4, UNIT_OUTPUT_WIDTH=4)) messages = [( from_plain_signal(i % 4, 4), from_plain_signal((i + 1) % 4, 4), ) for i in range(100)] for message in messages: unit.activate(message) message = (from_plain_signal(0, 4), None) expected_message = ( from_plain_signal(0, 4), from_plain_signal(1, 4), ) restored_message = unit.restore(message) assert restored_message[0] == expected_message[ 0], 'first signal should be exactly the same' assert to_plain_signal(restored_message[1]) == to_plain_signal( expected_message[1])