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-if(!dojo._hasResource["dojox.lang.functional.curry"]){ //_hasResource checks added by build. Do not use _hasResource directly in your code.
-dojo._hasResource["dojox.lang.functional.curry"] = true;
-dojo.provide("dojox.lang.functional.curry");
-
-dojo.require("dojox.lang.functional.lambda");
-
-// This module adds high-level functions and related constructs:
-// - currying and partial functions
-// - argument pre-processing: mixer and flip
-
-// Acknoledgements:
-// - partial() is based on work by Oliver Steele
-// (http://osteele.com/sources/javascript/functional/functional.js)
-// which was published under MIT License
-
-// Defined methods:
-// - take any valid lambda argument as the functional argument
-
-(function(){
- var df = dojox.lang.functional;
-
- var currying = function(/*Object*/ info){
- return function(){ // Function
- if(arguments.length + info.args.length < info.arity){
- return currying({func: info.func, arity: info.arity,
- args: Array.prototype.concat.apply(info.args, arguments)});
- }
- return info.func.apply(this, Array.prototype.concat.apply(info.args, arguments));
- };
- };
-
- dojo.mixin(df, {
- // currying and partial functions
- curry: function(/*Function|String|Array*/ f, /*Number?*/ arity){
- // summary: curries a function until the arity is satisfied, at
- // which point it returns the calculated value.
- f = df.lambda(f);
- arity = typeof arity == "number" ? arity : f.length;
- return currying({func: f, arity: arity, args: []}); // Function
- },
- arg: {}, // marker for missing arguments
- partial: function(/*Function|String|Array*/ f){
- // summary: creates a function where some arguments are bound, and
- // some arguments (marked as dojox.lang.functional.arg) are will be
- // accepted by the final function in the order they are encountered.
- // description: This method is used to produce partially bound
- // functions. If you want to change the order of arguments, use
- // dojox.lang.functional.mixer() or dojox.lang.functional.flip().
- var a = arguments, args = new Array(a.length - 1), p = [];
- f = df.lambda(f);
- for(var i = 1; i < a.length; ++i){
- var t = a[i];
- args[i - 1] = t;
- if(t == df.arg){
- p.push(i - 1);
- }
- }
- return function(){ // Function
- var t = Array.prototype.slice.call(args, 0); // clone the array
- for(var i = 0; i < p.length; ++i){
- t[p[i]] = arguments[i];
- }
- return f.apply(this, t);
- };
- },
- // argument pre-processing
- mixer: function(/*Function|String|Array*/ f, /*Array*/ mix){
- // summary: changes the order of arguments using an array of
- // numbers mix --- i-th argument comes from mix[i]-th place
- // of supplied arguments.
- f = df.lambda(f);
- return function(){ // Function
- var t = new Array(mix.length);
- for(var i = 0; i < mix.length; ++i){
- t[i] = arguments[mix[i]];
- }
- return f.apply(this, t);
- };
- },
- flip: function(/*Function|String|Array*/ f){
- // summary: changes the order of arguments by reversing their
- // order.
- f = df.lambda(f);
- return function(){ // Function
- // reverse arguments
- var a = arguments, l = a.length - 1, t = new Array(l + 1), i;
- for(i = 0; i <= l; ++i){
- t[l - i] = a[i];
- }
- return f.apply(this, t);
- };
- }
- });
-})();
-
-}