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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);
+ };
+ }
+ });
+})();
+
+}