queue — A synchronized queue class
https://docs.python.org/3.6/library/queue.html
https://github.com/python/cpython/blob/3.6/Lib/queue.py
The queue module implements multi-producer, multi-consumer queues. It is especially useful in threaded programming when information must be exchanged safely between multiple threads. The Queue class in this module implements all the required locking semantics. It depends on the availability of thread support in Python; see the threading module.
The module implements three types of queue, which differ only in the order in which the entries are retrieved. In a FIFO queue, the first tasks added are the first retrieved. In a LIFO queue, the most recently added entry is the first retrieved (operating like a stack). With a priority queue, the entries are kept sorted (using the heapq module) and the lowest valued entry is retrieved first.
Internally, the module uses locks to temporarily block competing threads; however, it is not designed to handle reentrancy within a thread.
The queue module defines the following classes and exceptions:
- class
queue.Queue(maxsize=0) -
Constructor for a FIFO queue. maxsize is an integer that sets the upperbound limit on the number of items that can be placed in the queue. Insertion will block once this size has been reached, until queue items are consumed. If maxsize is less than or equal to zero, the queue size is infinite.
- class
queue.LifoQueue(maxsize=0) -
Constructor for a LIFO queue. maxsize is an integer that sets the upperbound limit on the number of items that can be placed in the queue. Insertion will block once this size has been reached, until queue items are consumed. If maxsize is less than or equal to zero, the queue size is infinite.
- class
queue.PriorityQueue(maxsize=0) -
Constructor for a priority queue. maxsize is an integer that sets the upperbound limit on the number of items that can be placed in the queue. Insertion will block once this size has been reached, until queue items are consumed. If maxsize is less than or equal to zero, the queue size is infinite.
The lowest valued entries are retrieved first (the lowest valued entry is the one returned by
sorted(list(entries))[0]). A typical pattern for entries is a tuple in the form:(priority_number, data).
- exception
queue.Empty -
Exception raised when non-blocking
get()(orget_nowait()) is called on aQueueobject which is empty.
- exception
queue.Full -
Exception raised when non-blocking
put()(orput_nowait()) is called on aQueueobject which is full.
queue — A synchronized queue class的更多相关文章
- 多进程(了解):守护进程,互斥锁,信号量,进程Queue与线程queue(生产者与消费者模型)
一.守护进程 主进程创建守护进程,守护进程的主要的特征为:①守护进程会在主进程代码执行结束时立即终止:②守护进程内无法继续再开子进程,否则会抛出异常. 实例: from multiprocessing ...
- C++ 如何用百行代码实现线程安全的并发队列 | concurrent queue or blocking queue implemented in cpp
本文首发于个人博客https://kezunlin.me/post/cabccf5c/,欢迎阅读最新内容! concurrent queue or blocking queue implemented ...
- Windows Azure Service Bus (4) Service Bus Queue和Storage Queue的区别
<Windows Azure Platform 系列文章目录> 熟悉笔者文章的读者都了解,Azure提供两种不同方式的Queue消息队列: 1.Azure Storage Queue 具体 ...
- Laravel Scout 开启队列, 自定义queue name和queue connection
scout.php的默认配置: 'queue' => env('SCOUT_QUEUE', false), 修改为: 'queue' => [ 'queue' => env('SCO ...
- 线程queue与进程queue
进程queue: from multiprocessing import Queue,Process def func(qq): qq.put('function:我要放数据,给你来取...') if ...
- 进程Queue、线程Queue、堆栈、生产者消费者模型
没学队列之前,可以用文件实现进程之间通信 但是有2个问题: 1. 速度慢:文件是保存在硬盘空间 2. 为了数据安全要加锁(处理锁是一件很麻烦的事,容易死锁,建议自己轻易不要处理锁) 队列:队列是基于管 ...
- UVa540 Team Queue(队列queue)
队列 STL队列定义在头文件<queue>中, 用“ queue<int>s ” 方式定义, 用push()和pop()进行元素的入队和出队操作, front()取队首元素(但 ...
- 进程Queue和线程Queue区别
进程Queue from multiprocessing import Queue q=Queue() 线程Queue import queue q=queue.Queue()
- Python教程大纲
缘起:最近想在部门推Python语言,写这个blog主要就是个教程大纲,之前先列出一些资源:Python历史:http://www.docin.com/p-53019548.html ...
随机推荐
- LA 2797 平面区域dfs
题目大意:一个平面区域有n条线段,问能否从(0,0)处到达无穷远处(不穿过任何线段) 分析:若两条线段有一个端点重合,这种情况是不能从端点重合处穿过的 的.因此对每个端点延长一点,就可以避免这个问题. ...
- 开始学习Objective-C
加油! 顺便试试这MarsEdit好用不~
- Android UI设计--半透明效果对话框及activity(可做遮罩层)
下面是style的一些属性及其解释 <style name="dialog_translucent" parent="@android:style/Theme.Di ...
- RabbitMQ核心组件及应用场景
一.适用场景 1.解耦 2.最终一致性 3.广播 4.错峰与流控(秒杀业务用于流量削峰场景) 秒杀场景 二.核心组件,关键点(交换器.队列.绑定) AMPQ消息路由必要三部分:交换器.队列.绑定. J ...
- python多线程(一)
原文:http://www.pythonclub.org/python-basic/threading 一.python多线程thread和threading实现 python是支持多线程的,并且是n ...
- Hadoop学习(一)生态体系之简介
Hadoop 系列(一)基本概念 一.Hadoop 简介 Hadoop 是一个由 Apache 基金会所开发的分布式系统基础架构,它可以使用户在不了解分布式底层细节的情況下开发分布式程序,充分利用集群 ...
- win7配置java环境变量
http://jingyan.baidu.com/article/9f63fb91d87fb0c8400f0e93.html 安装JDK,从Oracel官方网站上下载,也可以通过搜索,进入链接.下载完 ...
- jmeter.properties控制聚合报告的用户响应时间设置和smmary results
jmeter.properties的配置Summariser控制输出Summary Results,可以显式rt和tps等信息 Aggregate Report配置可以控制聚合报告的内容,控制90%用 ...
- 【转】 使用 Python 获取 Linux 系统信息
在本文中,我们将会探索使用Python编程语言工具来检索Linux系统各种信息.走你. 哪个Python版本? 当我提及Python,所指的就是CPython 2(准确的是2.7).我会显式提醒那些相 ...
- UVa567_Risk(最短路)(小白书图论专题)
解题报告 option=com_onlinejudge&Itemid=8&category=7&page=show_problem&problem=508"& ...