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  1. stackoverflow.com

    Partial Application: Lets you call a function, splitting it in multiple calls, providing multiple arguments per-call. One of the significant differences between the two is that a call to a partially applied function returns the result right away, not another function down the currying chain; this distinction can be illustrated clearly for ...
  2. slingacademy.com

    4 days agoPartial Application via Captured Environments. Partial application refers to the process of fixing a few arguments to a function to create another function of smaller arity. This is naturally achieved in Rust via closures that harness the power of the environment to lock in the values of certain parameters. Example of Partial Application in Rust
  3. blog.lslabs.dev

    Partial application is the process of taking a N-arity function, X parameters and transforming it into a (N-X)-arity function. Now, let's take a look on how these concepts are introduced in functional languages and why we mixed them up so easily. Currying and Partial Application in Functional Languages.
  4. en.wikipedia.org

    Intuitively, partial function application says "if you fix the first arguments of the function, you get a function of the remaining arguments". For example, if function div(x,y) = x/y, then div with the parameter x fixed at 1 is another function: div 1 (y) = div(1,y) = 1/y.This is the same as the function inv that returns the multiplicative inverse of its argument, defined by inv(y) = 1/y.
  5. library.fiveable.me

    Partial application is a programming technique where a function is applied to some of its arguments, producing another function that takes the remaining arguments. This allows developers to create specialized versions of functions without having to rewrite them, making code more modular and reusable. It connects to higher-order functions, currying, and design patterns, enhancing the way ...
  6. forums.developer.apple.com

    Partial application is a way of applying some parameters to a function (or closure), but not all of them, producing a slightly different closure with fewer parameters. Reabstraction is probably a technique for modifying a calling convention from one "abstraction" (calling convention, data representation, etc) to another, for example when ...
  7. dear-computer.twodee.org

    The benefit of partial application is that we can define a new, simpler function from an existing, more general one. By preloading the parameters, we produce a function that has a narrower focus and a smaller interface than the original. Sometimes this focus is just a matter of convenience. For example, suppose we wanted to find the non-zero ...

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  1. Currying is converting a single function of n arguments into n functions with a single argument each. Given the following function:

    function f(x,y,z) { z(x(y));}

    When curried, becomes:

    function f(x) { lambda(y) { lambda(z) { z(x(y)); } } }

    In order to get the full application of f(x,y,z), you need to do this:

    f(x)(y)(z);

    Many functional languages let you write f x y z. If you only call f x y or f(x)(y) then you get a partially-applied function—the return value is a closure of lambda(z){z(x(y))} with passed-in the values of x and y to f(x,y).

    One way to use partial application is to define functions as partial applications of generalized functions, like fold:

    function fold(combineFunction, accumulator, list) {/* ... */}
    function sum     = curry(fold)(lambda(accum,e){e+accum}))(0);
    function length  = curry(fold)(lambda(accum,_){1+accum})(empty-list);
    function reverse = curry(fold)(lambda(accum,e){concat(e,accum)})(empty-list);
    
    /* ... */
    @list = [1, 2, 3, 4]
    sum(list) //returns 10
    @f = fold(lambda(accum,e){e+accum}) //f = lambda(accumulator,list) {/*...*/}
    f(0,list) //returns 10
    @g = f(0) //same as sum
    g(list)  //returns 10

    --Mark Cidade

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