i TSSKJr SSKJrJr \"SS\55r"SS5rg)) annotations)Protocolruntime_checkablec2\rSrSrSrSSjrSrg) RetryPolicy aT Policy interface to control step retries after failures. Implementations decide whether to retry and how long to wait before the next attempt based on elapsed time, number of attempts, and the last error. See Also: - [ConstantDelayRetryPolicy][workflows.retry_policy.ConstantDelayRetryPolicy] - [step][workflows.decorators.step] cg)a< Decide if another retry should occur and the delay before it. Args: elapsed_time (float): Seconds since the first failure. attempts (int): Number of attempts made so far. error (Exception): The last exception encountered. Returns: float | None: Seconds to wait before retrying, or `None` to stop. Nself elapsed_timeattemptserrors P/home/james-whalen/.local/lib/python3.13/site-packages/workflows/retry_policy.pynextRetryPolicy.nextsr Nr floatrintr Exceptionreturnz float | None)__name__ __module__ __qualname____firstlineno____doc__r__static_attributes__r rrrr s,   !  -0  9B    rrc@\rSrSrSrSSSjjrS SjrSrg) ConstantDelayRetryPolicy&zRetry at a fixed interval up to a maximum number of attempts. Examples: ```python @step(retry_policy=ConstantDelayRetryPolicy(delay=5, maximum_attempts=10)) async def flaky(self, ev: StartEvent) -> StopEvent: ... ``` cXlX lg)z Initialize the policy. Args: maximum_attempts (int): Maximum consecutive attempts. Defaults to 3. delay (float): Seconds to wait between attempts. Defaults to 5. Nmaximum_attemptsdelay)r r$r%s r__init__!ConstantDelayRetryPolicy.__init__1s!1 rc:X R:agUR$)z?Return the fixed delay while attempts remain; otherwise `None`.Nr#r s rrConstantDelayRetryPolicy.next<s ,, ,zzr)r%r$N))r$rr%rrNoner)rrrrrr&rrr rrr r &s1 !-09B rr N) __future__rtypingrrrr r rrr/s2#. (  8r