def __init__(self, ops):
Operator.__init__(self, ops)
self.transacs = []
self.uid = CSV.uid
self.current = None
self.length = 1
CSV.uid += 1
def __init__(self, pin, n = "relay"):
Producer.__init__(self, n, interval = 60000)
Operator.__init__(self, n)
self.__relay = Pin(pin ,Pin.OUT)
self.add_sensor(n, self.get_state)
self.__async_blinking = False
self.add_command(self.__op, SET)
self.add_command(self.__get, GET)
def __init__(self, ops, accumulate):
global Do_Maths
Operator.__init__(self, ops)
self.doers = []
for doer in self.get_doers():
self.doers.append(doer)
self.daily_val = defaultdict(lambda : 0)
self.dumps = defaultdict(lambda : [])
self.accumulate = accumulate
self.dumped = True
def main(config):
config.device = torch.device(
'cuda:{}'.format(config.gpu) if torch.cuda.is_available() else 'cpu')
# load data_loader
data_loader = get_dataloader(config)
check_point = Checkpoint(config)
operator = Operator(config, check_point)
if config.is_train:
operator.train(data_loader)
else:
operator.test(data_loader)
def main(config):
config.device = torch.device(
'cuda:{}'.format(config.gpu) if torch.cuda.is_available() else 'cpu')
# load data_loader
check_point = Checkpoint(config)
operator = Operator(config, check_point)
if config.is_train:
midi_data = MidiData(config)
operator.train(midi_data)
else:
operator.test()
def addOp(self, id):
operator = Operator(id)
operator.status = 'available'
self.operators.append(operator)
def __init__(self):
Consumer.__init__(self)
self.__name = 'sensors'
Operator.__init__(self, 'sensors')
self.add_command(self.__get, GET)
self.__sensors = {}
def __init__(self, name, fn):
self.__fn = fn
self.__config = None
Operator.__init__(self, name)
self.add_command(self.__get, GET, 'config')
self.add_command(self.__set, SET, 'config')
