问题
In Douglas Crockford's book "Javascript: The Good Parts" he provides code for a curry
method which takes a function and arguments and returns that function with the arguments already added (apparently, this is not really what "curry" means, but is an example of "partial application"). Here's the code, which I have modified so that it works without some other custom code he made:
Function.prototype.curry = function(){
var slice = Array.prototype.slice,
args = slice.apply(arguments),
that = this;
return function() {
// context set to null, which will cause `this` to refer to the window
return that.apply(null, args.concat(slice.apply(arguments)));
};
};
So if you have an add
function:
var add = function(num1, num2) {
return num1 + num2;
};
add(2, 4); // returns 6
You can make a new function that already has one argument:
var add1 = add.curry(1);
add1(2); // returns 3
That works fine. But what I want to know is why does he set this
to null
? Wouldn't the expected behavior be that the curried method is the same as the original, including the same this
?
My version of curry would look like this:
Function.prototype.myCurry = function(){
var slice = [].slice,
args = slice.apply(arguments),
that = this;
return function() {
// context set to whatever `this` is when myCurry is called
return that.apply(this, args.concat(slice.apply(arguments)));
};
};
Example
(Here is a jsfiddle of the example)
var calculator = {
history: [],
multiply: function(num1, num2){
this.history = this.history.concat([num1 + " * " + num2]);
return num1 * num2;
},
back: function(){
return this.history.pop();
}
};
var myCalc = Object.create(calculator);
myCalc.multiply(2, 3); // returns 6
myCalc.back(); // returns "2 * 3"
If I try to do it Douglas Crockford's way:
myCalc.multiplyPi = myCalc.multiply.curry(Math.PI);
myCalc.multiplyPi(1); // TypeError: Cannot call method 'concat' of undefined
If I do it my way:
myCalc.multiplyPi = myCalc.multiply.myCurry(Math.PI);
myCalc.multiplyPi(1); // returns 3.141592653589793
myCalc.back(); // returns "3.141592653589793 * 1"
However, I feel like if Douglas Crockford did it his way, he probably has a good reason. What am I missing?
回答1:
Reason 1 - not easy to provide a general solution
The problem is that your solution is not general. If the caller doesn't assign the new function to any object, or assigns it to a completely different object, your multiplyPi
function will stop working:
var multiplyPi = myCalc.multiply.myCurry(Math.PI);
multiplyPi(1); // TypeError: this.history.concat is not a function
So, neither Crockford's nor your solution can assure that the function will be used correctly. Then it may be easier to say that the curry
function works only on "functions", not "methods", and set this
to null
to force that. We might only speculate though, since Crockford doesn't mention that in the book.
Reason 2 - functions are being explained
If you asking "why Crockford didn't use this or that" - the very likely answer is: "It wasn't important in regard to the demonstrated matter." Crockford uses this example in the chapter Functions. The purpose of the sub-chapter curry
was:
- to show that functions are objects you can create and manipulate
- to demonstrate another usage of closures
- to show how arguments can be manipulated.
Finetuning this for a general usage with objects was not purpose of this chapter. As it is problematic if not even impossible (see Reason 1), it was more educational to put there just null
instead if putting there something which could raise questions if it actually works or not (didn't help in your case though :-)).
Conclusion
That said, I think you can be perfectly confident in your solution! There's no particular reason in your case to follow Crockfords' decision to reset this
to null
. You must be aware though that your solution only works under certain circumstances, and is not 100% clean. Then clean "object oriented" solution would be to ask the object to create a clone of its method inside itself, to ensure that the resultant method will stay within the same object.
回答2:
Reader beware, you're in for a scare.
There's a lot to talk about when it comes to currying, functions, partial application and object-orientation in JavaScript. I'll try to keep this answer as short as possible but there's a lot to discuss. Hence I have structured my article into several sections and at the end of each I have summarized each section for those of you who are too impatient to read it all.
1. To curry or not to curry
Let's talk about Haskell. In Haskell every function is curried by default. For example we could create an add
function in Haskell as follows:
add :: Int -> Int -> Int
add a b = a + b
Notice the type signature Int -> Int -> Int
? It means that add
takes an Int
and returns a function of type Int -> Int
which in turn takes an Int
and returns an Int
. This allows you to partially apply functions in Haskell easily:
add2 :: Int -> Int
add2 = add 2
The same function in JavaScript would look ugly:
function add(a) {
return function (b) {
return a + b;
};
}
var add2 = add(2);
The problem here is that functions in JavaScript are not curried by default. You need to manually curry them and that's a pain. Hence we use partial application (aka bind) instead.
Lesson 1: Currying is used to make it easier to partially apply functions. However it's only effective in languages in which functions are curried by default (e.g. Haskell). If you have to manually curry functions then it's better to use partial application instead.
2. The structure of a function
Uncurried functions also exist in Haskell. They look like functions in "normal" programming languages:
main = print $ add(2, 3)
add :: (Int, Int) -> Int
add(a, b) = a + b
You can convert a function in its curried form to its uncurried form and vice versa using the uncurry and curry functions in Haskell respectively. An uncurried function in Haskell still takes only one argument. However that argument is a product of multiple values (i.e. a product type).
In the same vein functions in JavaScript also take only a single argument (it just doesn't know it yet). That argument is a product type. The arguments
value inside a function is a manifestation of that product type. This is exemplified by the apply
method in JavaScript which takes a product type and applies a function to it. For example:
print(add.apply(null, [2, 3]));
Can you see the similarity between the above line in JavaScript and the following line in Haskell?
main = print $ add(2, 3)
Ignore the assignment to main
if you don't know what it's for. It's irrelevant apropos to the topic at hand. The important thing is that the tuple (2, 3)
in Haskell is isomorphic to the array [2, 3]
in JavaScript. What do we learn from this?
The apply
function in JavaScript is the same as function application (or $
) in Haskell:
($) :: (a -> b) -> a -> b
f $ a = f a
We take a function of type a -> b
and apply it to a value of type a
to get a value of type b
. However since all functions in JavaScript are uncurried by default the apply
function always takes a product type (i.e. an array) as its second argument. That is to say that the value of type a
is actually a product type in JavaScript.
Lesson 2: All functions in JavaScript only take a single argument which is a product type (i.e. the arguments
value). Whether this was intended or happenstance is a matter of speculation. However the important point is that you understand that mathematically every function only takes a single argument.
Mathematically a function is defined as a morphism: a -> b
. It takes a value of type a
and returns a value of type b
. A morphism can only have one argument. If you want multiple arguments then you could either:
- Return another morphism (i.e.
b
is another morphism). This is currying. Haskell does this. - Define
a
to be a product of multiple types (i.e.a
is a product type). JavaScript does this.
Out of the two I prefer curried functions as they make partial application trivial. Partial application of "uncurried" functions is more complicated. Not difficult, mind you, but just more complicated. This is one of the reasons why I like Haskell more than JavaScript: functions are curried by default.
3. Why OOP matters not
Let's take a look at some object-oriented code in JavaScript. For example:
var oddities = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9].filter(odd).length;
function odd(n) {
return n % 2 !== 0;
}
Now you might wonder how is this object-oriented. It looks more like functional code. After all you could do the same thing in Haskell:
oddities = length . filter odd $ [0..9]
Nevertheless the above code is object-oriented. The array literal is an object which has a method filter
which returns a new array object. Then we simply access the length
of the new array object.
What do we learn from this? Chaining operations in object-oriented languages is the same as composing functions in functional languages. The only difference is that the functional code reads backwards. Let's see why.
In JavaScript the this
parameter is special. It's separate from the formal parameters of the function which is why you need to specify a value for it separately in the apply
method. Because this
comes before the formal parameters, methods are chained from left-to-right.
add.apply(null, [2, 3]); // this comes before the formal parameters
If this
were to come after the formal parameters the above code would probably read as:
var oddities = length.filter(odd).[0, 1, 2, 3, 4, 5, 6, 7, 8, 9];
apply([2, 3], null).add; // this comes after the formal parameters
Not very nice is it? Then why do functions in Haskell read backwards? The answer is currying. You see functions in Haskell also have a "this
" parameter. However unlike in JavaScript the this
parameter in Haskell is not special. In addition it comes at the end of the argument list. For example:
filter :: (a -> Bool) -> [a] -> [a]
The filter
function takes a predicate function and a this
list and returns a new list with only the filtered elements. So why is the this
parameter last? It makes partial application easier. For example:
filterOdd = filter odd
oddities = length . filterOdd $ [0..9]
In JavaScript you would write:
Array.prototype.filterOdd = [].filter.myCurry(odd);
var oddities = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9].filterOdd().length;
Now which one would you choose? If you're still complaining about reading backwards then I have news for you. You can make Haskell code read forwards using "backward application" and "backward composition" as follows:
($>) :: a -> (a -> b) -> b
a $> f = f a
(>>>) :: (a -> b) -> (b -> c) -> (a -> c)
f >>> g = g . f
oddities = [0..9] $> filter odd >>> length
Now you have the best of both worlds. Your code reads forwards and you get all the benefits of currying.
There are a lot of problems with this
that don't occur in functional languages:
- The
this
parameter is specialized. Unlike other parameters you can't simply set it to an arbitrary object. Hence you need to usecall
to specify a different value forthis
. - If you want to partially apply functions in JavaScript then you need to specify
null
as the first parameter ofbind
. Similarly forcall
andapply
.
Object-oriented programming has nothing to do with this
. In fact you can write object-oriented code in Haskell as well. I would go as far as to say that Haskell is in fact an object-oriented programming language, and a far better one at that than Java or C++.
Lesson 3: Functional programming languages are more object-oriented than most mainstream object-oriented programming languages. In fact object-oriented code in JavaScript would be better (although admittedly less readable) if written in a functional style.
The problem with object-oriented code in JavaScript is the this
parameter. In my humble opinion the this
parameter shouldn't be treated any differently than formal parameters (Lua got this right). The problem with this
is that:
- There's no way to set
this
like other formal parameters. You have to usecall
instead. - You have to set
this
tonull
inbind
if you wish to only partially apply a function.
On a side note I just realized that every section of this article is becoming longer than the preceding section. Hence I promise to keep the next (and final) section as short as possible.
4. In defense of Douglas Crockford
By now you must have picked up that I think that most of JavaScript is broken and that you should shift to Haskell instead. I like to believe that Douglas Crockford is a functional programmer too and that he is trying to fix JavaScript.
How do I know that he's a functional programmer? He's the guy that:
- Popularized the functional equivalent of the
new
keyword (a.k.aObject.create
). If you don't already do then you should stop using the new keyword. - Attempted to explain the concept of monads and gonads to the JavaScript community.
Anyway, I think Crockford nullified this
in the curry
function because he knows how bad this
is. It would be sacrilege to set it to anything other than null
in a book entitled "JavaScript: The Good Parts". I think he's making the world a better place one feature at a time.
By nullifying this
Crockford is forcing you to stop relying on it.
Edit: As Bergi requested I'll describe a more functional way to write your object-oriented Calculator
code. We will use Crockford's curry
method. Let's start with the multiply
and back
functions:
function multiply(a, b, history) {
return [a * b, [a + " * " + b].concat(history)];
}
function back(history) {
return [history[0], history.slice(1)];
}
As you can see the multiply
and back
functions don't belong to any object. Hence you can use them on any array. In particular your Calculator
class is just a wrapper for list of strings. Hence you don't even need to create a different data type for it. Hence:
var myCalc = [];
Now you can use Crockford's curry
method for partial application:
var multiplyPi = multiply.curry(Math.PI);
Next we'll create a test
function to multiplyPi
by one and to go back to the previous state:
var test = bindState(multiplyPi.curry(1), function (prod) {
alert(prod);
return back;
});
If you don't like the syntax then you could switch to LiveScript:
test = do
prod <- bindState multiplyPi.curry 1
alert prod
back
The bindState
function is the bind
function of the state monad. It's defined as follows:
function bindState(g, f) {
return function (s) {
var a = g(s);
return f(a[0])(a[1]);
};
}
So let's put it to the test:
alert(test(myCalc)[0]);
See the demo here: http://jsfiddle.net/5h5R9/
BTW this entire program would have been more succinct if written in LiveScript as follows:
multiply = (a, b, history) --> [a * b, [a + " * " + b] ++ history]
back = ([top, ...history]) -> [top, history]
myCalc = []
multiplyPi = multiply Math.PI
bindState = (g, f, s) -->
[a, t] = g s
(f a) t
test = do
prod <- bindState multiplyPi 1
alert prod
back
alert (test myCalc .0)
See the demo of the compiled LiveScript code: http://jsfiddle.net/5h5R9/1/
So how is this code object oriented? Wikipedia defines object-oriented programming as:
Object-oriented programming (OOP) is a programming paradigm that represents concepts as "objects" that have data fields (attributes that describe the object) and associated procedures known as methods. Objects, which are usually instances of classes, are used to interact with one another to design applications and computer programs.
According to this definition functional programming languages like Haskell are object-oriented because:
- In Haskell we represent concepts as algebraic data types which are essentially "objects on steroids". An ADT has one or more constructors which may have zero or more data fields.
- ADTs in Haskell have associated functions. However unlike in mainstream object-oriented programming languages ADTs don't own the functions. Instead the functions specialize upon the ADTs. This is actually a good thing as ADTs are open to adding more methods. In traditional OOP languages like Java and C++ they are closed.
- ADTs can be made instances of typeclasses which are similar to interfaces in Java. Hence you still do have inheritance, variance and subtype polymorphism but in a much less intrusive form. For example
Functor
is a superclass ofApplicative
.
The above code is also object-oriented. The object in this case is myCalc
which is simply an array. It has two functions associated with it: multiply
and back
. However it doesn't own these functions. As you can see the "functional" object-oriented code has the following advantages:
- Objects don't own methods. Hence it's easy to associate new functions to objects.
- Partial application is made simple via currying.
- It promotes generic programming.
So I hope that helped.
回答3:
But what I want to know is why does he set this to null?
There is not really a reason. Probably he wanted to simplify, and most functions that make sense to be curried or partially applied are not OOP-methods that use this
. In a more functional style the history
array that is appended to would be another parameter of the function (and maybe even a return value).
Wouldn't the expected behavior be that the curried method is the same as the original, including the same this?
Yes, your implementation makes much more sense, however one might not expect that a partially applied function still needs to be called in the correct context (as you do by re-assigning it to your object) if it uses one.
For those, you might have a look at the bind method of Function objects for partial application including a specific this
-value.
回答4:
From MDN:
thisArg The value of this provided for the call to fun. Note that this may not be the actual value seen by the method: if the method is a function in non-strict mode code, null and undefined will be replaced with the global object, and primitive values will be boxed.
Hence, if the method is in non-strict mode and the first argument is null
or undefined
, this
inside of that method will reference Window
. In strict mode, this is null
or undefined
. I've added a live example on this Fiddle.
Furthermore passing in null
or undefined
does not do any harm in case the function does not reference this
at all. That's probably why Crockford used null
in his example, to not overcomplicate things.
来源:https://stackoverflow.com/questions/21002417/is-there-a-reason-why-this-is-nullified-in-crockfords-curry-method