def replay_(
mapper: Optional[Mapper[Observable[_TSource], Observable[_TResult]]] = None,
buffer_size: Optional[int] = None,
window: Optional[typing.RelativeTime] = None,
scheduler: Optional[abc.SchedulerBase] = None,
) -> Callable[
[Observable[_TSource]], Union[Observable[_TResult], ConnectableObservable[_TSource]]
]:
"""Returns an observable sequence that is the result of invoking the
mapper on a connectable observable sequence that shares a single
subscription to the underlying sequence replaying notifications
subject to a maximum time length for the replay buffer.
This operator is a specialization of Multicast using a
ReplaySubject.
Examples:
>>> res = replay(buffer_size=3)
>>> res = replay(buffer_size=3, window=500)
>>> res = replay(None, 3, 500)
>>> res = replay(lambda x: x.take(6).repeat(), 3, 500)
Args:
mapper: [Optional] Selector function which can use the multicasted
source sequence as many times as needed, without causing
multiple subscriptions to the source sequence. Subscribers to
the given source will receive all the notifications of the
source subject to the specified replay buffer trimming policy.
buffer_size: [Optional] Maximum element count of the replay
buffer.
window: [Optional] Maximum time length of the replay buffer.
scheduler: [Optional] Scheduler the observers are invoked on.
Returns:
An observable sequence that contains the elements of a
sequence produced by multicasting the source sequence within a
mapper function.
"""
if mapper:
def subject_factory(
scheduler: Optional[abc.SchedulerBase] = None,
) -> ReplaySubject[_TSource]:
return ReplaySubject(buffer_size, window, scheduler)
return ops.multicast(subject_factory=subject_factory, mapper=mapper)
rs: ReplaySubject[_TSource] = ReplaySubject(buffer_size, window, scheduler)
return ops.multicast(subject=rs)
def subject_factory(
scheduler: Optional[abc.SchedulerBase] = None,
) -> ReplaySubject[_TSource]:
return ReplaySubject(buffer_size, window, scheduler)
def action1(scheduler, state=None):
subject[0] = ReplaySubject(sys.maxsize, 100, scheduler)
def action1(scheduler, state=None):
subject[0] = ReplaySubject(3, 100, scheduler)