fritter.repeat

package documentation

(source)

Schedule repeated invocations of a function, indicating how many steps have been passed so that the repeated calls may catch up to real time to preserve timing accuracy when timers cannot always be invoked promptly.

Package rules The fritter.repeat.rules package contains various implementations of fritter.boundaries.RecurrenceRule.

From __init__.py:

Class	`Async`	An `Async` wraps an `AsyncDriver` and provides an implementation of `repeatedly` which:
Class	`Repeater`	A `Repeater` can call a `RepeatingWork` function repeatedly.
Function	`repeatedly`	Create a `Repeater` and call its `repeat` method. This is a utility function for use when you have a simple repetition set up on a scheduler that accepts a baseline 0-argument callable, and does not require any ...
Type Variable	`RepeatingWhatT`	A TypeVar for `Repeater` to reference a specific type of `RepeatingWork`.
Class	`_AsyncStopper`	An implementation of `Cancellable` which can stop the repetition kicked off by `Async.repeatedly`.

RepeatingWhatT = (source) ¶

A TypeVar for Repeater to reference a specific type of RepeatingWork.

Value

TypeVar('RepeatingWhatT',
        bound=RepeatingWork[object])

def repeatedly(scheduler: Scheduler[WhenT, Callable[[], None], object], work: RepeatingWork[StepsT], rule: RecurrenceRule[WhenT, StepsT]): (source) ¶

Create a Repeater and call its repeat method. This is a utility function for use when you have a simple repetition set up on a scheduler that accepts a baseline 0-argument callable, and does not require any conversion.