yield

Some help understanding “yield”

五迷三道 提交于 2019-11-27 03:39:08
In my everlasting quest to suck less I'm trying to understand the "yield" statement, but I keep encountering the same error. The body of [someMethod] cannot be an iterator block because 'System.Collections.Generic.List< AClass>' is not an iterator interface type. This is the code where I got stuck: foreach (XElement header in headersXml.Root.Elements()){ yield return (ParseHeader(header)); } What am I doing wrong? Can't I use yield in an iterator? Then what's the point? In this example it said that List<ProductMixHeader> is not an iterator interface type. ProductMixHeader is a custom class,

Unity - IEnumerator's yield return null

房东的猫 提交于 2019-11-27 03:27:24
问题 I'm currently trying to understand IEnumerator & Coroutine within the context of Unity and am not too confident on what the "yield return null" performs. At the moment i believe it basically pauses and waits for the next frame and in the next frame it'll go back to perform the while statement again. If i leave out the "yield return null" it seems the object will instantly move to its destination or perhaps "skip a lot of frames". So i guess my question is how does this "yield return null"

【11.5】生成器进阶--send、close和throw方法

大憨熊 提交于 2019-11-27 03:14:30
1.send方法 1 #!/usr/bin/env python 2 # -*- coding:utf-8 -*- 3 # 启动生成器有两种方法,next()和send() 4 5 6 def gen_func(): 7 # 1.可以产出值 2.可以接收值(调用方传递的值) 8 html = yield 'http://projectsedu.com' 9 print(html) 10 yield 2 11 yield 3 12 return 'zy' 13 14 15 if __name__ == '__main__': 16 # 生成生成器对象 17 gen = gen_func() 18 # 在调用send发送非None值之前,我们必须启动一次生成器,方式有两种1.gen.send(None),2.next(gen) 19 url = gen.send(None) 20 # download html 21 html = 'zy' 22 # send()可以传递值进入生成器内部,同时重启生成器执行到下一个yield位置 23 print(gen.send(html)) 24 25 # print(next(gen)) 26 # print(next(gen)) 27 # print(next(gen)) zy 2 2.close方法 1 #!/usr/bin/env

Implementing yield (yield return) using Scala continuations

对着背影说爱祢 提交于 2019-11-27 03:04:05
How might one implement C# yield return using Scala continuations? I'd like to be able to write Scala Iterator s in the same style. A stab is in the comments on this Scala news post , but it doesn't work (tried using the Scala 2.8.0 beta). Answers in a related question suggest this is possible, but although I've been playing with delimited continuations for a while, I can't seem to exactly wrap my head around how to do this. Before we introduce continuations we need to build some infrastructure. Below is a trampoline that operates on Iteration objects. An iteration is a computation that can

python中yield的用法详解——最简单,最清晰的解释

二次信任 提交于 2019-11-27 02:56:50
转: https://blog.csdn.net/mieleizhi0522/article/details/82142856 首先我要吐槽一下,看程序的过程中遇见了yield这个关键字,然后百度的时候,发现没有一个能简单的让我懂的,讲起来真TM的都是头头是道,什么参数,什么传递的,还口口声声说自己的教程是最简单的,最浅显易懂的,我就想问没有有考虑过读者的感受。 接下来是正题: 首先,如果你还没有对yield有个初步分认识,那么你先把yield看做“return”,这个是直观的,它首先是个return,普通的return是什么意思,就是在程序中返回某个值,返回之后程序就不再往下运行了。看做return之后再把它看做一个是生成器(generator)的一部分(带yield的函数才是真正的迭代器),好了,如果你对这些不明白的话,那先把yield看做return,然后直接看下面的程序,你就会明白yield的全部意思了: def foo(): print("starting...") while True: res = yield 4 print("res:",res) g = foo() print(next(g)) print("*"*20) print(next(g)) 就这么简单的几行代码就让你明白什么是yield,代码的输出这个: starting... 4 **********

When NOT to use yield (return) [duplicate]

孤者浪人 提交于 2019-11-27 02:27:47
This question already has an answer here: Is there ever a reason to not use 'yield return' when returning an IEnumerable? There are several useful questions here on SO about the benefits of yield return . For example, Can someone demystify the yield keyword Interesting use of the c# yield keyword What is the yield keyword I'm looking for thoughts on when NOT to use yield return . For example, if I expect to need to return all items in a collection, it doesn't seem like yield would be useful, right? What are the cases where use of yield will be limiting, unnecessary, get me into trouble, or

Thread.Sleep or Thread.Yield

你。 提交于 2019-11-27 02:04:55
问题 I have a method that uses a background worker to poll a DLL for a status looking something like this: var timeout = DateTime.Now.AddSeconds(3); while (System.Status != Status.Complete // our status is not complete && DateTime.Now < timeout // have not timed out && !_Worker.CancellationPending) // backgroundworker has not been canceled { //Thread.Yield(); //Thread.SpinWait(1); //Thread.Sleep(1); } When looking at my CPU %, yield() and spinwait() cause my app to shoot up to 50% on my PC. With

Performance of nested yield in a tree

大兔子大兔子 提交于 2019-11-27 01:47:00
I've got a tree-like structure. Each element in this structure should be able to return a Enumerable of all elements it is root to. Let's call this method IEnumerable<Foo> GetAll() . So if we have A <-- topmost root / \ B C / \ / \ D E F G a call to GetAll on element C returns {C, F, G} (fixed order of elements would be nice, but is not needed). I guess everybody knew that already. The current implementation of GetAll looks like this: public IEnumerable<Foo> GetAll () { yield return this; foreach (Foo foo in MyChildren) { foreach (Foo f in foo.GetAll ()) { yield return f; } } } In an earlier

python基础知识~ 函数详解2

孤街浪徒 提交于 2019-11-27 01:10:32
python~函数详解2 1 生成器函数 定义 如果函数有yield这个关键字,就是生成器函数.生成器函数() 获取的是生成器,不执行函数 须知 yield和return一样,都可以返回数据,但是不会彻底中断函数,分段进行函数处理 继续执行 函数(迭代器) __next__() __send__(参数)//和next具有同一个功能,还添加了给上一个值赋值功能 def func() print(a) a=yield 1 //yield特殊定义 print (b) b=yield 2说 gen=funct//不会执行函数 a=gen.__next___()//继续执行函数 a=gen.__send__("wdadaw") 注意 1 书写生成器函数最后必须以yield结尾,否则会报异常 2 最后一个yield不能传值,yield会打印输出 3 可以通过for,list循环访问对象,则证明for和list循环自带__next__ 2 推导式 一句话生成列表 list=["python"+star(i) for i in range(10)] 1 构成方式 结果 for循环 判断 2 多重for循环并排写即可 一句话生成字典 dick={a[key]:value for i in range(len(list)) } 语法构成 {key:value 循环 条件判断} 3 生成器表达式 1

python中yield的用法详解

怎甘沉沦 提交于 2019-11-27 00:41:35
原文链接:https://blog.csdn.net/mieleizhi0522/article/details/82142856 首先,如果你还没有对yield有个初步分认识,那么你先把yield看做“return”,这个是直观的,它首先是个return,普通的return是什么意思,就是在程序中返回某个值,返回之后程序就不再往下运行了。看做return之后再把它看做一个是生成器(generator)的一部分(带yield的函数才是真正的迭代器),好了,如果你对这些不明白的话,那先把yield看做return,然后直接看下面的程序,你就会明白yield的全部意思了: def foo(): print("starting...") while True: res = yield 4 print("res:",res) g = foo() print(next(g)) print("*"*20) print(next(g)) 就这么简单的几行代码就让你明白什么是yield,代码的输出这个: starting... 4 ******************** res: None 4 我直接解释代码运行顺序,相当于代码单步调试: 1.程序开始执行以后,因为foo函数中有yield关键字,所以foo函数并不会真的执行,而是先得到一个生成器g(相当于一个对象) 2.直到调用next方法