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src/persistentpoker_bench/retries.py
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from __future__ import annotations
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import time
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from dataclasses import dataclass
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from typing import Callable, TypeVar
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T = TypeVar("T")
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@dataclass(frozen=True, slots=True)
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class RetryPolicy:
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max_attempts: int = 3
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initial_delay_seconds: float = 0.25
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backoff_multiplier: float = 2.0
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retry_on_parse_failure: bool = True
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def __post_init__(self) -> None:
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if self.max_attempts < 1:
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raise ValueError("max_attempts must be at least 1.")
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if self.initial_delay_seconds < 0:
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raise ValueError("initial_delay_seconds cannot be negative.")
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if self.backoff_multiplier < 1:
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raise ValueError("backoff_multiplier must be at least 1.")
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def run_with_retries(
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operation: Callable[[], T],
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*,
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policy: RetryPolicy,
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is_retryable_exception: Callable[[Exception], bool],
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) -> tuple[T, int]:
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attempt = 0
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delay = policy.initial_delay_seconds
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while True:
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attempt += 1
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try:
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return operation(), attempt
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except Exception as exc:
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if attempt >= policy.max_attempts or not is_retryable_exception(exc):
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raise
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if delay > 0:
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time.sleep(delay)
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delay *= policy.backoff_multiplier
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