simpy.rt — Real-time simulation
Execution environment for events that synchronizes passing of time
with the real-time (aka wall-clock time).
class simpy.rt.RealtimeEnvironment(initial_time=0, factor=1.0, strict=True)
Execution environment for an event-based simulation which is
synchronized with the real-time (also known as wall-clock time). A time
step will take factor seconds of real time (one second by default).
A step from 0 to 3 with a factor=0.5 will, for example, take at
The step() method will raise a RuntimeError if a time step
took too long to compute. This behaviour can be disabled by setting
strict to False.
factor = None
Scaling factor of the real-time.
strict = None
Running mode of the environment. step() will raise a
RuntimeError if this is set to True and the processing of
events takes too long.
The currently active process of the environment.
alias of AllOf
alias of AnyOf
alias of Event
Stop the current process, optionally providing a value.
This is a convenience function provided for Python versions prior to
3.3. From Python 3.3, you can instead use return value in
The current simulation time.
Get the time of the next scheduled event. Return
Infinity if there is no further event.
alias of Process
Executes step() until the given criterion until is met.
- If it is None (which is the default), this method will return
when there are no further events to be processed.
- If it is an Event, the method will continue
stepping until this event has been triggered and will return its
- If it is a number, the method will continue stepping
until the environment’s time reaches until.
schedule(event, priority=1, delay=0)
Schedule an event with a given priority and a delay.
Synchronize the internal time with the current wall-clock time.
This can be useful to prevent step() from raising an error if
a lot of time passes between creating the RealtimeEnvironment and
calling run() or step().
alias of Timeout
Process the next event after enough real-time has passed for the
event to happen.
The delay is scaled according to the real-time factor. With
strict mode enabled, a RuntimeError will be raised, if
the event is processed too slowly.