3/4/2023 0 Comments Ischedule starMeet iSchedule for iRacing – the favorite companion app of iRacing players. Issue reports, improvement suggestions or general comments can be submitted at GitHub Issues.Are you looking for a reliable race schedule & stats app for iRacing that will inform you about upcoming races?Īn iRacing schedule app that will let you add race reminders and sync your account on multiple mobile devices via the cloud? The project has its main homepage on GitHub. Larger deviations, on the order of tens of milliseconds, have been occasionally observed. In a typical 1-minute run, the median deviation is below 0.2 milliseconds, and maximum deviations is below 5 milliseconds. An example implementation of multiprocessing with ischedule is tested as part of every release.ĭecorator syntax is supported for scheduling tasks: from ischedule import run_loop, task():ĭeviations from the scheduled time were thoroughly tested. Multiprocesseing parallelism is however an excellent alternative in Python. If the scheduled tasks need to run concurrently on separate threads, then this package cannot be used. The scheduler is able to return to normal operation. This is slow, but just fast enough not to create delays in the schedule. It adapts by running the pending tasks as soon as it gets back the control at t=1.41s, and again at t=2.323.Īfter t=2.0s, the slow task changes to spend only 0.09 seconds. Initially it uses so much time that it blocks the other tasks from being executed. The slow task is first scheduled for execution at t=0.5s. The fast task runs every 0.1 seconds, and completes quickly. The second task takes a lot of time to complete, stress-testing the scheduler. The first one is scheduled with an interval of 0.1 seconds, and the second one is scheduled with an interval of 0.5 seconds. In this example, two tasks are scheduled for periodic execution. The call to run_loop() accepts an optinal parameter return_after, which allows the loop to return after a specified time, either as seconds or as a datetime.timedelta. When this event is set, run_loop() will cleanly return to the caller after completing the currently pending tasks. If the program needs to be able to cancel it, it should supply a stop_event, which is expected to be a threading.Event. If run_loop() is executed without parameters, it will continue running until the process is terminated. If the execution of a task is delayed so much that the next execution of the same task become pending, an execution will be skipped.Įxceptions during the execution are propagated out of run_loop()/ run_pending(), and can be dealt with by the caller.
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