Scheduler

This module contains the definition of a scheduler. It has the definition of the Scheduler that allows schedule events and execute them using the FEL paradigm·

Example

Creating an scheduler:

scheduler = Scheduler()

Scheduling an event:

scheduler.schedule(model, Time(2))
# or
model.schedule(Time(2))

Deleting an scheduled event:

scheduler.unschedule(model)
# or
model.unschedule()

Get a set of imminent events:

next = scheduler.get_next_models()

Get a set of imminent events and removes them from the FEL:

next = scheduler.pop_next_models()
class gsf.dynamic_system.future_event_list.scheduler.Scheduler

Bases: object

It executes the autonomous events of discrete-event models.

_future_event_list

Collection of scheduled models. It is used as a min-heap.

Type

List[ScheduledModel]

get_future_event_list()

Returns the future event list

get_next_models()

Gets the next models that will execute an autonomous event

get_time_of_next_event()

Gets the time of the next event

pop_next_models()

Gets the next models that will execute an autonomous event and removes it from the heap

schedule()

Schedule an event at the specified time.

Parameters

  • model (DiscreteEventModel) – DiscreteEventModel with an autonomous event scheduled

  • time (Time) – Time to execute an autonomous event

unschedule()

Drop a model from schedule.

Parameters

model (DiscreteEventModel) – DiscreteEventModel with an autonomous event scheduled.

update_time()

Updates the time of the events

Parameters

delta_time (Time) – Time that has passed since the last update

Scheduled Model Experiments package