yield

Returning a single element from an iterator block - Iterator cannot contain return statement

懵懂的女人 提交于 2019-12-10 14:22:32
问题 Let's say I have the following method. In some came public IEnumerable<ValidationResult> Validate(UserLoginCommand command) { User user = userRepository.Get(u => u.Email == command.UserEmail); if(user != null) { if(!user.Activated) { return new IEnumerable<ValidationResult>() {new ValidationResult("NotActived", Resources.UserNotActivated)}; } if(user.IsPasswordIncorrent) { yield return new ValidationResult("IncorrectPassword", Resources.IncorrentPassword); } } } The actual situation is

What are the advantages of “yield item” vs return iter(items)?

巧了我就是萌 提交于 2019-12-10 13:11:07
问题 In the examples below, resp.results is an iterator. Version1 : items = [] for result in resp.results: item = process(result) items.append(item) return iter(items) Version 2: for result in resp.results: yield process(result) Is returning iter(items) in Version 1 any better/worse in terms of performance/memory savings than simply returning items? In the "Python Cookbook," Alex says the explicit iter() is "more flexible but less often used," but what are the pros/cons of returning iter(items) vs

Skipping yield in python

放肆的年华 提交于 2019-12-10 11:15:19
问题 I'm writing a generator that takes an iterable and an integer n . For example if I call my generator: generator('abcdefg',2) then it should yield a , d , g skipping 2 letters. When I call iter(iterable) then use yield next the yield automatically skips 1 letter. How would I tell python to skip yielding so I can skip n letters? 回答1: Your generator is effectively islice with a step parameter, so you could wrap the original iterable as such: from itertools import islice def generator(iterable,

Java Thread.yield详解

随声附和 提交于 2019-12-09 23:16:14
一. Thread.yield( )方法: 使当前线程从执行状态(运行状态)变为可执行态(就绪状态)。cpu会从众多的可执行态里选择,也就是说,当前也就是刚刚的那个线程还是有可能会被再次执行到的,并不是说一定会执行其他线程而该线程在下一次中不会执行到了。 Java线程中有一个Thread.yield( )方法,很多人翻译成线程让步。顾名思义,就是说当一个线程使用了这个方法之后,它就会把自己CPU执行的时间让掉,让自己或者其它的线程运行。 打个比方:现在有很多人在排队上厕所,好不容易轮到这个人上厕所了,突然这个人说:“我要和大家来个竞赛,看谁先抢到厕所!”,然后所有的人在同一起跑线冲向厕所,有可能是别人抢到了,也有可能他自己有抢到了。我们还知道线程有个优先级的问题,那么手里有优先权的这些人就一定能抢到厕所的位置吗? 不一定的,他们只是概率上大些,也有可能没特权的抢到了。 例子: package com.yield; public class YieldTest extends Thread { public YieldTest(String name) { super(name); } @Override public void run() { for (int i = 1; i <= 50; i++) { System.out.println("" + this.getName()

协程

孤人 提交于 2019-12-09 19:27:41
目录 一 什么是协程? 二 协程介绍 三 Gevent 一 什么是协程? ​ 进程:资源单位 ​ 线程:执行单位 ​ 协程:单线程下实现并 在IO密集型的情况下,使用协程能提高最高效率 注意:协程不是任何单位,只是程序员YY出来的东西 手动实现 “遇到IO切换 + 保存状态“ 去欺骗操作系统,让操作系统误以为没有IO操作,将CPU的执行权限给你 cpu正在运行一个任务,会在两种情况下切走去执行其他的任务(切换由操作系统强制控制), 第一种情况是该任务发生了阻塞 第二种情况是该任务计算的时间过长或有一个优先级更高的程序替代了它 一:其中第二种情况并不能提升效率,只是为了让cpu能够雨露均沾,实现看起来所有任务都被“同时”执行的效果,如果多个任务都是纯计算的,这种切换反而会降低效率。 为此我们可以基于yield来验证。yield本身就是一种在单线程下可以保存任务运行状态的方法,我们来简单复习一下: #1 yiled可以保存状态,yield的状态保存与操作系统的保存线程状态很像,但是yield是代码级别控制的,更轻量级 #2 send可以把一个函数的结果传给另外一个函数,以此实现单线程内程序之间的切换 单纯的切换反而会降低运行效率 ''' 1、协程: 单线程实现并发 在应用程序里控制多个任务的切换+保存状态 优点: 应用程序级别速度要远远高于操作系统的切换 缺点:

yield - statement or expression?

青春壹個敷衍的年華 提交于 2019-12-09 16:37:48
问题 So, I've been reading this, and found out about sending values to generator. And now I'm kinda confused. Is yield a statement or an expression? It doesn't use parenthesis syntax, like functions, so it looks like statement. But it returns value, so it's like expression. Not so long ago I've had this conversation about "Why python doesn't have 'if x=foo(): (...)'?" (why can't we assign in if statement condition). I said, that statements are atomic, so assignment statement and if statement

python - what does yield (yield) do?

不想你离开。 提交于 2019-12-09 13:15:42
问题 Since python 2.5 there is the ability to send() , throw() , close() into a generator. Inside the defined generator one can 'catch' the sent data by doing something like: def gen(): while True: x = (yield) if x == 3: print('received 3!!') break else: yield x What i am trying to play with is doing something like: def gen2(): while True: yield (yield) Noticed that it is a legal generator which does something.. First thing i'm trying to figure out is: Is there a good usage for such writing? Also

Fibers in C#: are they faster than iterators, and have people used them?

好久不见. 提交于 2019-12-08 22:59:00
问题 So I was chatting with a colleague about fibers and turned up this paper from 2003 that describes a implementation of coroutines in C# using the Fiber API. The implementation of Yield in this paper was for .NET 1.1, so it predates the yield return syntax that appeared in .NET 2.0. It definitely looks, at first glance, that the implementation here is potentially faster and could scale across multiple CPUs rather well. Has anyone used it? 回答1: I haven't used it, but I have an interest in the

9.5 Scrapy项目管道爬取58实战代码

試著忘記壹切 提交于 2019-12-08 22:01:31
spider文件: yield函数 ,这个函数没有结束,还可以继续返回,这里千万不能return,return就结束了1条数据。 这才yield出去到管道,才管道开始了。 yield item是yield到管道,yield request是yield到调度器。 管道文件pipline.py文件 天生有一个管道,但是这个管道里面什么都没有。之前讲过管道有4个函数。 首先打开一个文件,print(打开文件了)关闭一个,print(关闭文件了),中间是管道 问题来了如何写入文件: 如何把一个个对象写入文件。涉及到序列化,即把对象变成一个文本。如何 来源: CSDN 作者: Hathaway321 链接: https://blog.csdn.net/MilkHathaway/article/details/79243543

Error 'Iterator cannot contain return statement ' when calling a method that returns using a yield

拟墨画扇 提交于 2019-12-08 14:58:05
问题 I'm hoping there's a nicer way to write this method & overloads with less code duplication. I want to return a sequence of deltas between items in a list. this method:- public static IEnumerable<decimal> CalculateDeltas(this IEnumerable<decimal> sequence) { decimal prev = default(decimal); foreach (var item in sequence) { var current = item; decimal diff = current - prev; prev = item; yield return diff; } } works just fine. I then thought about an overload which would allow an absolute delta,