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enjoyableprogram
python_algorithm
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Python_queue_by_link.py
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# 使用我们的链表作为底层的数据结构实现队列
# from multiprocessing import Queue
class Queue_Node(object):
def __init__(self, val, back = None):
self.val = val
self.back = back # 记录的是入队的节点指针
class Queue(object):
# 构造函数
def __init__(self):
self.__head = self.__end = Queue_Node(None)
# 开始我们的入队操作
def push(self, data):
self.__head.back = Queue_Node(data)
# 然后将我们的头节点执行现在新加的节点,实现节点的后移
self.__head = self.__head.back
# 出队的操作实现
def pop(self):
# 实现的是先进先出
# 我们这里的 end 节点是一直不用更新的,一直指向的是最初的头节点
if self.__head == self.__end:
raise Exception("queue is empty")
self.__end = self.__end.back
return self.__end.val
def show_front_val(self):
if self.__head.back is None:
raise Exception("queue is empty")
return self.__head.back.val
def show_end_val(self):
if self.__end:
return self.__end.val
raise Exception("queue is empty")
if __name__ == "__main__":
queue = Queue()
print(queue.show_end_val())
queue.push(1)
# print(queue.show_end_val())
queue.push(2)
print(queue.show_end_val())
queue.push(3)
print(queue.show_end_val())
queue.push(4)
print(queue.show_end_val())
# 开始出栈
print(queue.show_end_val())
print(queue.pop())
print(queue.show_end_val())
print(queue.pop())
print(queue.show_end_val())
print(queue.pop())
print(queue.pop())
# https://developer.aliyun.com/article/953777 队列的实现场景,消息队列的实现
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