下面的代码示例展示了如何在Python中实现一个固定大小的队列: classFixedSizeQueue:def__init__(self,capacity):self.capacity=capacity self.queue=[]defenqueue(self,item):iflen(self.queue)<self.capacity:self.queue.append(item)print(f'入队:{item}')else:print('队列已满,无法入队')defdequeue(self):if...
classFixedSizeQueue:def__init__(self,capacity):self.capacity=capacity self.queue=[]defenqueue(self,item):iflen(self.queue)>=self.capacity:self.queue.pop(0)self.queue.append(item)defdequeue(self):iflen(self.queue)==0:raiseIndexError("dequeue from an empty queue")returnself.queue.pop(0)de...
Queue是python标准库中的线程安全的队列(FIFO)实现,提供了一个适用于多线程编程的先进先出的数据结构,即队列,用来在生产者和消费者线程之间的信息传递基本FIFO队列queue.Queue(maxsize=0)import queue q = queue.Queue() q.put(1) q.put(2) q.put(3) print(q.get()) print(q.get()) print(q.get()...
print('producer: adding stop signals to the queue') for i in range(num_workers): await q.put(None) print('producer: waiting for queue to empty') await q.join() print('producer: ending') async def main(loop, num_consumers): # Create the queue with a fixed size so the producer # ...
The problem describes two processes, the producer and the consumer, who share a common, fixed-size buffer used as a queue. 这个问题描述了两个过程,生产者和消费者,它们共享一个固定大小的缓冲区用作队列 因此,我们保留一个变量,该变量将是全局的,并且将被生产者和消费者线程修改。生产者生成数据并将其...
get(timeout=5.0) except queue.Empty: ... Both of these options can be used to avoid the problem of just blocking indefinitely on a particular queuing operation. For example, a nonblocking put() could be used with a fixed-sized queue to implement different kinds of handling code for when ...
# circular_queue class Queue: # creates a new queue def __init__(self, size): self.the_queue = [0] * size # represent a queue with fixed size self.count = 0 self.front = 0 self.rear = len(self.the_queue) - 1 # returns the number of items in the queue def __len__(self...
253Meeting Rooms II♥PythonJava1. Priority queue and sort, O(nlogn) and O(n) 2. Go through timeline. If it's a start then meeting + 1, else meeting - 1. The ans is the max(meeting) in timeline. O(nlogn) and O(n)
In some situations, however, you might prefer to work with abounded queuethat has a fixed capacity known up front. A bounded queue can help to keep scarce resources under control in two ways: By irreversibly rejecting elements that don’t fit ...
Replacing elements in place makes it possible to maintain a fixed size heap, such as a queue of jobs ordered by priority. 在原来的位置替换元素,这样就可以维护一个固定大小的堆,例如按照优先级排列的任务队列。 $ python3 heapq_heapreplace.py ...