Три способа выполнить множество задач с asyncio
Функция для примера:
async def do_it(n):
await asyncio.sleep(random.uniform(0.5, 1))
return n
1. Последовательный вызов
async def main():
for i in range(100):
result = await do_it(i)
Такой вызов имеет смысл только тогда, когда результат одной задачи требуется для вызова следующей.
Если они независимы, то это антипаттерн, так как аналогичен простому синхронному вызову по очереди.
2. Упорядоченный результат
async def main():
tasks = [do_it(i) for i in range(100)]
results = await asyncio.gather(*tasks)
Выполняет корутины конкурентно и возвращает результат в виде списка.
Полезен когда требуется получить результаты в том же порядке в котором задачи отправлены.
3. Результат по мере готовности
tasks = [asyncio.create_task(do_it(i)) for i in range(100)]
for cor in asyncio.as_completed(tasks):
result = await cor
Так же выполняет корутины конкурентно, но не гарантирует порядок. Результат возвращается по мере готовности, каждый отдельно.
Полезен когда нужно обработать любой ответ как можно скорее.
#async
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China just launched its largest war games around Taiwan to date, sending a clear message: Beijing can cut off the island from the outside world if conflict erupts. The drills, dubbed “Justice Mission 2025,” involved troops, warships, fighter jets, and artillery, with live fire and simulated strikes designed to test Taipei’s defenses and U.S.-made weapons.
“Conducting live-fire exercises around the Taiwan Strait ... would not only constitute military pressure on us, but could also pose more complex challenges and impacts for the international community and neighbouring countries.”
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The drills covered a record seven zones, some closer to Taiwan than ever before, and forced the cancellation of hundreds of flights. China’s military released propaganda videos showing futuristic tech—automated robots, microdrones, and weaponised robotic dogs—while Taiwan’s defence ministry responded with its own footage of U.S.-made HIMARS rocket systems.
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