# Path: antevents/base.py
# class DefaultSubscriber:
# class CallableAsSubscriber:
# class FatalError(Exception):
# class InvalidTopicError(FatalError):
# class UnknownTopicError(FatalError):
# class TopicAlreadyClosed(FatalError):
# class ExcInDispatch(FatalError):
# class Publisher:
# class Filter(Publisher, DefaultSubscriber):
# class _ThunkBuilder:
# class DirectPublisherMixin:
# class EventLoopPublisherMixin:
# class IterableAsPublisher(Publisher, DirectPublisherMixin):
# class FunctionIteratorAsPublisher(Publisher, DirectPublisherMixin):
# class SensorPub(Publisher, DirectPublisherMixin):
# class BlockingSubscriber:
# class _ThreadForBlockingSubscriber(threading.Thread):
# class _ThreadForBlockingPublisher(threading.Thread):
# class ScheduleError(FatalError):
# class Scheduler:
#     def on_next(self, x):
#     def on_error(self, e):
#     def on_completed(self):
# def _on_next_name(topic):
# def _on_error_name(topic):
# def _on_completed_name(topic):
#     def __init__(self, on_next=None, on_error=None, on_completed=None,
#                  topic=None):
#             def default_error(err):
#     def __str__(self):
#     def __init__(self, topics=None):
#     def subscribe(self, subscriber, topic_mapping=None):
#         def dispose():
#     def _schedule(self, enqueue_fn):
#     def _close_topic(self, topic):
#     def _dispatch_next(self, x, topic=None):
#     def _dispatch_completed(self, topic=None):
#     def _dispatch_error(self, e, topic=None):
#     def print_downstream(self):
#         def has_subscribers(step):
#         def print_from(current_seq, step):
#     def pp_subscribers(self):
#     def __init__(self, previous_in_chain,
#                  on_next=None, on_completed=None,
#                  on_error=None, name=None):
#     def on_next(self, x):
#     def on_error(self, e):
#     def on_completed(self):
#     def __str__(self):
# def _is_thunk(t):
# def _make_thunk(t):
#     def __init__(self, func):
#     def __call__(self, *args, **kwargs):
#         def apply(this):
#     def __repr__(self):
# def _subscribe_thunk(prev, thunk):
# def filtermethod(base, alias=None):
#     def inner(func):
#     def _observe(self):
#     def _observe_event_loop(self):
#     def _stop_loop(self):
#     def __init__(self, iterable, name=None):
#     def _observe(self):
#     def _close(self):
#     def __str__(self):
# def from_iterable(i):
# def from_list(l):
#     def __init__(self, initial_state, condition, iterate, result_selector):
#     def _observe(self):
# def from_func(init, cond, iter, selector):
#     def __str__(self):
# def make_sensor_event(sensor, sample):
#     def __init__(self, sensor, make_event_fn=make_sensor_event):
#     def _observe(self):
#     def __repr__(self):
#     def __init__(self, scheduler, topics=None):
#         def start():
#     def request_stop(self):
#     def _wait_and_dispatch(self):
#     def _on_next(self, topic, x):
#     def _on_completed(self, topic):
#     def _on_error(self, topic, e):
#     def _close(self):
#     def __init__(self, subscriber, scheduler):
#     def run(self):
#             def die(): # need to stop the scheduler in the main loop
#             def done():
#     def __init__(self, publisher, interval, scheduler):
#     def _stop_loop(self):
#     def run(self):
#         def enqueue_fn(fn, *args):
#             def die(): # need to stop the scheduler in the main loop
#             def done():
#     def __init__(self, event_loop):
#         def exception_handler(loop, context):
#     def _remove_from_active_schedules(self, publisher):
#     def schedule_periodic(self, publisher, interval):
#         def cancel():
#         def run():
#     def schedule_sensor(self, sensor, interval, *subscriber_sequence,
#                         make_event_fn=make_sensor_event,
#                         print_downstream=False):
#     def schedule_recurring(self, publisher):
#         def cancel():
#         def run():
#     def schedule_on_main_event_loop(self, publisher):
#         def stop():
#     def schedule_on_private_event_loop(self, publisher):
#         def enqueue_fn(fn, *args):
#         def thread_main():
#                 def die(): # need to stop the scheduler in the main loop
#                 def loop_done():
#     def schedule_periodic_on_separate_thread(self, publisher, interval):
#     def schedule_sensor_on_separate_thread(self, sensor, interval, *subscriber_sequence,
#                                            make_event_fn=make_sensor_event):
#     def schedule_later_one_time(self, publisher, interval):
#         def cancel():
#         def run():
#     def run_forever(self):
#     def _schedule_coroutine(self, coro, done_callback):
#         def cb(f):
#     def stop(self):
#                 def recheck_stop(f):


from collections import deque
from statistics import median
from antevents.base import Publisher, Filter, SensorEvent, filtermethod
                                ts=new_event.ts,
                                val=(new_state)/total_events)
        return (new_event, new_state)
        
    def __str__(self):
        return 'SensorSlidingMean(%d)' % self.history_samples


class PeriodicMedianTransducer(Transducer):
    """Emit an event once every ``period`` input events.
    The value is the median of the inputs received since the last
    emission.
    """
    def __init__(self, period=5):
        self.period = period
        self.samples = [None for i in range(period)]
        self.events_since_last = 0
        self.last_event = None # this is used in emitting the last event

    def _event_to_val(self, evt):
        """Given an event, return the sample value. The default is for
        SensorEvent. Override if you have a different event definition.
        """
        return evt.val
    
    def _make_event(self, last_event, val):
        """Return an event based off the last event, but with the specified
        value. This is for SensorEvent. Override if you have a different
        event definition.
        """

# Path: antevents/base.py
# class DefaultSubscriber:
# class CallableAsSubscriber:
# class FatalError(Exception):
# class InvalidTopicError(FatalError):
# class UnknownTopicError(FatalError):
# class TopicAlreadyClosed(FatalError):
# class ExcInDispatch(FatalError):
# class Publisher:
# class Filter(Publisher, DefaultSubscriber):
# class _ThunkBuilder:
# class DirectPublisherMixin:
# class EventLoopPublisherMixin:
# class IterableAsPublisher(Publisher, DirectPublisherMixin):
# class FunctionIteratorAsPublisher(Publisher, DirectPublisherMixin):
# class SensorPub(Publisher, DirectPublisherMixin):
# class BlockingSubscriber:
# class _ThreadForBlockingSubscriber(threading.Thread):
# class _ThreadForBlockingPublisher(threading.Thread):
# class ScheduleError(FatalError):
# class Scheduler:
#     def on_next(self, x):
#     def on_error(self, e):
#     def on_completed(self):
# def _on_next_name(topic):
# def _on_error_name(topic):
# def _on_completed_name(topic):
#     def __init__(self, on_next=None, on_error=None, on_completed=None,
#                  topic=None):
#             def default_error(err):
#     def __str__(self):
#     def __init__(self, topics=None):
#     def subscribe(self, subscriber, topic_mapping=None):
#         def dispose():
#     def _schedule(self, enqueue_fn):
#     def _close_topic(self, topic):
#     def _dispatch_next(self, x, topic=None):
#     def _dispatch_completed(self, topic=None):
#     def _dispatch_error(self, e, topic=None):
#     def print_downstream(self):
#         def has_subscribers(step):
#         def print_from(current_seq, step):
#     def pp_subscribers(self):
#     def __init__(self, previous_in_chain,
#                  on_next=None, on_completed=None,
#                  on_error=None, name=None):
#     def on_next(self, x):
#     def on_error(self, e):
#     def on_completed(self):
#     def __str__(self):
# def _is_thunk(t):
# def _make_thunk(t):
#     def __init__(self, func):
#     def __call__(self, *args, **kwargs):
#         def apply(this):
#     def __repr__(self):
# def _subscribe_thunk(prev, thunk):
# def filtermethod(base, alias=None):
#     def inner(func):
#     def _observe(self):
#     def _observe_event_loop(self):
#     def _stop_loop(self):
#     def __init__(self, iterable, name=None):
#     def _observe(self):
#     def _close(self):
#     def __str__(self):
# def from_iterable(i):
# def from_list(l):
#     def __init__(self, initial_state, condition, iterate, result_selector):
#     def _observe(self):
# def from_func(init, cond, iter, selector):
#     def __str__(self):
# def make_sensor_event(sensor, sample):
#     def __init__(self, sensor, make_event_fn=make_sensor_event):
#     def _observe(self):
#     def __repr__(self):
#     def __init__(self, scheduler, topics=None):
#         def start():
#     def request_stop(self):
#     def _wait_and_dispatch(self):
#     def _on_next(self, topic, x):
#     def _on_completed(self, topic):
#     def _on_error(self, topic, e):
#     def _close(self):
#     def __init__(self, subscriber, scheduler):
#     def run(self):
#             def die(): # need to stop the scheduler in the main loop
#             def done():
#     def __init__(self, publisher, interval, scheduler):
#     def _stop_loop(self):
#     def run(self):
#         def enqueue_fn(fn, *args):
#             def die(): # need to stop the scheduler in the main loop
#             def done():
#     def __init__(self, event_loop):
#         def exception_handler(loop, context):
#     def _remove_from_active_schedules(self, publisher):
#     def schedule_periodic(self, publisher, interval):
#         def cancel():
#         def run():
#     def schedule_sensor(self, sensor, interval, *subscriber_sequence,
#                         make_event_fn=make_sensor_event,
#                         print_downstream=False):
#     def schedule_recurring(self, publisher):
#         def cancel():
#         def run():
#     def schedule_on_main_event_loop(self, publisher):
#         def stop():
#     def schedule_on_private_event_loop(self, publisher):
#         def enqueue_fn(fn, *args):
#         def thread_main():
#                 def die(): # need to stop the scheduler in the main loop
#                 def loop_done():
#     def schedule_periodic_on_separate_thread(self, publisher, interval):
#     def schedule_sensor_on_separate_thread(self, sensor, interval, *subscriber_sequence,
#                                            make_event_fn=make_sensor_event):
#     def schedule_later_one_time(self, publisher, interval):
#         def cancel():
#         def run():
#     def run_forever(self):
#     def _schedule_coroutine(self, coro, done_callback):
#         def cb(f):
#     def stop(self):
#                 def recheck_stop(f):


# Path: antevents/linq/transducer.py
from collections import deque
from statistics import median
from antevents.base import Publisher, Filter, SensorEvent, filtermethod

                                ts=new_event.ts,
                                val=(new_state)/total_events)
        return (new_event, new_state)
        
    def __str__(self):
        return 'SensorSlidingMean(%d)' % self.history_samples


class PeriodicMedianTransducer(Transducer):
    """Emit an event once every ``period`` input events.
    The value is the median of the inputs received since the last
    emission.
    """
    def __init__(self, period=5):
        self.period = period
        self.samples = [None for i in range(period)]
        self.events_since_last = 0
        self.last_event = None # this is used in emitting the last event

    def _event_to_val(self, evt):
        """Given an event, return the sample value. The default is for
        SensorEvent. Override if you have a different event definition.
        """
        return evt.val
    
    def _make_event(self, last_event, val):
        """Return an event based off the last event, but with the specified
        value. This is for SensorEvent. Override if you have a different
        event definition.
        """

        return SensorEvent(sensor_id=last_event.sensor_id,