Retry Decorator with Backoff
Automatically retry failed operations with exponential backoff.
import time
import functools
from typing import Tuple, Type
11 useful things
Automatically retry failed operations with exponential backoff.
import time
import functools
from typing import Tuple, Type
Asynchronously retry failed operations with exponential backoff for async functions.
import asyncio
import functools
from typing import Tuple, Type
Function caching with time-to-live (TTL) expiration.
import functools
import time
from typing import Any, Callable
Limit function execution rate to prevent overwhelming external services.
import functools
import time
from collections import defaultdict
from threading import LockConvert a generator function into a context manager.
import functools
from contextlib import contextmanager
from typing import Callable, Generator
Validate function arguments and return values using type hints and custom validators.
import functools
import inspect
from typing import Any, Callable, Dict, List, get_type_hints
Measure and log function execution time and memory usage.
import functools
import time
import tracemalloc
from typing import CallableRetry failed operations with exponential backoff and random jitter to prevent thundering herd.
import functools
import random
import time
from typing import Tuple, TypeEnsure a class has only one instance and provide a global point of access to it.
import functools
from typing import Any, Dict
def singleton(cls):Add timeout functionality to prevent functions from running indefinitely.
import functools
import signal
from typing import Any, Callable
from concurrent.futures import ThreadPoolExecutor, TimeoutErrorAdd authentication and role-based authorization to functions.
import functools
from typing import Callable, List
class User: