java functional programming example

What is functional reactive programmingHttp://limboy.me/ios/2013/06/19/frp-reactivecocoa.htmlFunctional reactive Programming (hereinafter referred to as FRP) is a programming paradigm that responds to change. Let's take a look at a small piece of codea = 2b = 2c = a + b // c is 4b = 3// now what is the value of c?If you use FRP, c the value will b change as the v

the second part. This kind of thinking can also be used in software development, such as the following function:Inside the function is the use of the value of a to calculate C, and then add C and B to the final result. Of course, this example does not fully reflect the characteristics of the estimate, but it allows us to understand what is expected to be achieved. Suppose this is theis a time-consuming operation, and in actual use will appear the val

"getting smaller", map is "getting bigger", how fold can map it be achieved? In fact, the key lies fold in the one f , its type can be seen as X->Y->Y , here X and Y can be different. For example, X it can be a natural number, Y it can be list , this is "getting bigger". Implemented as follows.listlist Y := fold (fun x l => (f x) :: l) l [].The corresponding C + + code is as follows./* * use fold to implement map */template classclasstemplate

, I will talk about one or two sentences. For example, this item is rarely mentioned: the non-termination operations of the newly added Stream interface are all evaluated by inertia, this design ensures the efficiency of the set operation as a whole. In the big data era, concurrency will become the core competitiveness of the language, while functional language development's concurrent program performance i

This article mainly introduces Python functional Programming Guide (four): The builder detailed, this article explained the generator introduction, the generator function, the generator function FAQ and so on content, needs the friend to be possible to refer to under 4. Generator (Generator) 4.1. Introduction to Builder First make sure that the generator is an iterator. The builder owns the next method a

Let's look at an example: Code highlighting produced by Actipro CodeHighlighter (freeware)http://www.CodeHighlighter.com/--># Include Template Class Fibnacci { Public: Static const int value = maid }; Template Class Fibnacci {Public:Static const int value = 0;}; Template Class Fibnacci {Public:Static const int value = 1;}; Template Void printFibnacci (){PrintFibnacci Wprintf (L "% d \ n", fig } Template Void printFibnacci {Wprintf (L "% d \ n", fig }

following results: Atom Call Abstraction Call/cc Operator It can be proved that the CPS transformation does not change the semantics.Of course, this version of CPS is very lengthy, and all those seen on the market have made the Protocol directly after the transformation and deleted a bunch of Redex.The above once again demonstrates how closely logical and programming are linked. .This is a simple function compute output: static int Times3(int

.__name__ returnFunc (*args, * *kw)returnwrapper @log#equals now = log (now)defNow ():Print '2013-12-25'------------------------------>>>Now () Call Now ():2013-12-25#if the decorator itself needs to pass in parameters, it is necessary to write a higher-order function that returns decorator, which is more complex to write. For example, to customize the text of a log:deflog (text):defDecorator (func):defWrapper (*args, * *kw):Print '%s%s ():'%

Transferred from: http://www.jianshu.com/p/7fe3408e60481. Map (FUNC,SEQ1[,SEQ2 ...]) The map () function in Python's functional programming is to act on each element of the SEQ with Func and give the return value with a list. If Func is none, the action is through ZIP ().When SEQ has only one, the Func function is applied to each element of this seq and a new seq is obtained.For

that: CPS transformation does not change semantics.Of course, this version of the CPS is very lengthy, the market saw those are in the transformation is directly after the statute, delete the large heap of redex.These once again illustrate how closely the logic and programming are connected. A concise addition.This is a simple function to calculate the output: static int Times3 (int x) { return x * 3; } Console.WriteLine (Times3 (5))

I. OverviewThe reduce operation is one of the most important techniques in functional programming, and its role is to generate a value from the operation of a set. For example, the most common summation, the maximum value, the minimum value, etc. are typical examples of the reduce operation. Python provides a good support for the reduce operation with the built-i

understand, first we need to write a dosomething method:Then modify the Main method:After execution we can see the following results:However, we can clearly see that the value of a is false, the B value is not used at all, but when the parameter is passed the Doonething method is executed and assigned to B, assuming this method is a very time-consuming operation. Then we will waste this time, the final value is not used. And this is the strict evaluation strategy, and today's main goal is to ch

; x.match(/r/g))removeStringsWithoutRs([‘rock and roll‘, ‘smooth jazz‘, ‘drum circle‘]); // [‘rock androll‘, ‘drum circle‘]const noVowels = replace(/[aeiou]/ig); // (r,x) => x.replace(/[aeiou]/ig, r)const censored = noVowels(‘*‘); // x => x.replace(/[aeiou]/ig, ‘*‘)censored(‘Chocolate Rain‘); // ‘Ch*c*l*t* R**n‘A new function that remembers these parameters can be obtained by collecting the parameters and passing the arguments that are less than the expected number of functions to the calling fu

Unless you have used other functional programming, you may be unfamiliar with the following two concepts: "Partial function Application" and "function curry".偏函数应用，英文是partial application，也可以译作“局部应用”、“部分应用”、“偏应用”函数柯里化，英文是currying，也可以译作“局部套用”、“加里化”、“卡瑞化”That being said, if you understand these two concepts, you can use them in your own code.FunctionsEven if you are already familiar with JavaScript's function,

Functional Programming LanguagesHttp://program-think.blogspot.com/2012/02/why-choose-python-4-fp.htmlPure Function: Output completely dependent on input functions, cannot read and write external variables, no IOrelated built-in functions in Python: 1. The map (function, iterator) passes all the contents of the iterator to the function in turn, and returns an iterator that can be a list ... e.g.map (Lamda x: