# Start workers, then wait for the work queue to be empty. workers = gen.multi([worker() for _ in range(concurrency)]) await q.join(timeout=timedelta(seconds=300)) assert fetching == (fetched | dead) print("Done len(fetched))) print("Unable to fetch %s URLs." % len(dead)) # Signal all the workers to exit. for _ in range(concurrency): await q.put(None) await workers if __name__ == "__main__": asyncio.run(main()) 6 worker_id) sem.release() async def runner(): # Join all workers. await gen.multi([worker(i) for i in range(3)]) asyncio.run(runner()) Worker 0 is working Worker 1 is working Worker 0 is done Worker 2 is

Start workers, then wait for the work queue to be empty. workers = gen.multi([worker() for _ in range(concurrency)]) await q.join(timeout=timedelta(seconds=300)) assert fetching == (fetched | print("Unable to fetch %s URLs." % len(dead)) # Signal all the workers to exit. for _ in range(concurrency): await q.put(None) await workers if __name__ == "__main__": asyncio sem.release() async def runner(): # Join all workers.await gen.multi([worker(i) for i in range(3)]) asyncio.run(runner()) Worker 0 is working Worker 1 is working Worker 0 is done Worker

rand::Rng; fn main() { println!("Guess the number!"); let secret_number = rand::thread_rng().gen_range(1..=100); println!("The secret number is: {secret_number}"); println!("Please input your 函数提供实际使用的 随机数生成器：它位于当前执行线程的本地环境中，并从操作系统获取 seed。接着调用随机 数生成器的 gen_range 方法。这个方法由 use rand::Rng 语句引入到作用域的 Rng trait 定义。 gen_range 方法获取一个范围表达式（range expression）作为参数，并生成一个在此范围之 间的随机数。这里使用的这类范围表达式使用了 start..=end rand::Rng; fn main() { println!("Guess the number!"); let secret_number = rand::thread_rng().gen_range(1..=100); loop { println!("Please input your guess."); let mut guess = String::new();