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Изворен канал @pythonotes · Post #401 · 15 дек.

Функция asyncio.wait() это еще один способ вызвать множество асинхронных задач. Она работает в нескольких режимах. 1. Самый простой - ждем завершения всех задач async def main(): tasks = [asyncio.create_task(do_it(i)) for i in range(10)] done, pending = await asyncio.wait( tasks, return_when=asyncio.ALL_COMPLETED ) for task in done: try: print(task.result()) except Exception as e: print(e) Очень похоже на gather, но работает не так. ▫️возвращает не результаты, а два сета с объектами Task у которых можно забрать результат через task.result() если они в списке done ▫️не гарантирует порядок результатов так как оба объекта это set ▫️не выбрасывает исключение когда оно появляется, а сохраняет его в Task. Исключение появится когда попробуете забрать резултьтат. 2. Ждем завершения первой задачи, даже если там ошибка. async def main(): tasks = [asyncio.create_task(do_it(i)) for i in range(3)] done, pending = await asyncio.wait( tasks, return_when=asyncio.FIRST_COMPLETED ) # в done может быть несколько задач! for task in done: try: print(task.result()) except Exception as e: print(f"Fail: {e}") # Оставшиеся задачи в pending, как правило, нужно отменить, иначе они будут продолжать работать for task in pending: task.cancel() В сете done будут таски которые успели завершится, причем как успешно так и нет. 3. До первой ошибки. Тоже самое, но с аргументом FIRST_EXCEPTION done, pending = await asyncio.wait( tasks, return_when=asyncio.FIRST_EXCEPTION ) Функция завершается как только первая задача упадет с ошибкой. Учтите, что в любом случае done вы можете обранужить несколько задач, как с ошибками так и успешные. ↗️ Полный листинг примеров здесь #async

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AI & Law

@ai_and_law · Post #227 · 29.01.2024 г., 08:04

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Two US Appeals Courts Dive into AI Examination Greetings everyone! Two federal appeals courts in the United States are establishing committees dedicated to studying the influence of AI on the legal system. U.S. Circuit Judge Eric Miller is set to lead an AI-focused committee for the 9th U.S. Circuit Court of Appeals, headquartered in San Francisco. As the nation's largest federal appeals court, the 9th Circuit is yet to formulate regulations governing AI use among legal practitioners. Similarly, Chief Judge Michael Chagares of the 3rd U.S. Circuit Court of Appeals, based in Philadelphia, has instituted an AI committee, according to Joel McHugh, the court's deputy circuit executive. The announcement about the 9th Circuit's committee followed the revelation by the law firm Bradley Arant Boult Cummings that A.J. Bahou, a Nashville partner chairing its AI practice, had been appointed to serve on this newly formed panel. Chief U.S. Circuit Judge Mary Murguia is convening the 9th Circuit's committee, aiming to assist the court in assessing appropriate rules and applications of AI technology. "The court is in the process of forming a committee, and we will issue an announcement in due course," stated Miller. While the timing of potential actions by these committees remains unclear, McHugh offered no information on whether rules regulating AI use would be introduced. These decisions to establish AI-focused committees come amid a national exploration by judges on how to cope with the rapid ascent of generative AI programs, such as OpenAI's ChatGPT, and how to regulate their use within legal proceedings. Chief U.S. Supreme Court Justice John Roberts, in his annual report on December 31, emphasized the potential benefits of AI while urging caution and humility in its application. He pointed out incidents of AI "hallucination," where lawyers using AI programs submitted briefs with citations to non-existent cases. #AIinLaw#LegalTechnology#USCourts#ArtificialIntelligence

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