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/*
Copyright (c) 2004-2011, The Dojo Foundation All Rights Reserved.
Available via Academic Free License >= 2.1 OR the modified BSD license.
see: http://dojotoolkit.org/license for details
*/
dojo._xdResourceLoaded(function(dojo, dijit, dojox){
return {depends: [["provide", "dojox.lang.functional.util"],
["require", "dojox.lang.functional.lambda"]],
defineResource: function(dojo, dijit, dojox){if(!dojo._hasResource["dojox.lang.functional.util"]){ //_hasResource checks added by build. Do not use _hasResource directly in your code.
dojo._hasResource["dojox.lang.functional.util"] = true;
dojo.provide("dojox.lang.functional.util");
dojo.require("dojox.lang.functional.lambda");
// This module provides helpers:
// - inlining string lambda functions.
(function(){
var df = dojox.lang.functional;
dojo.mixin(df, {
inlineLambda: function(/*String*/ lambda, /*String|Array*/ init, /*Function?*/ add2dict){
// summary:
// Creates the inlined version of a string lambda.
// lambda:
// The String variable representing the lambda function.
// init:
// Conveys how to initialize parameters. If it is a String, then the apply() method
// would be emulated treating "init" as a list of input parameters.
// It it is an Array, then the call() method is emulated treating array members
// as input parameters.
// add2dict:
// The optional function, which is used to record names of lambda parameters.
// If supplied, this function is called with a name of every parameter.
var s = df.rawLambda(lambda);
if(add2dict){
df.forEach(s.args, add2dict);
}
var ap = typeof init == "string", // apply or call?
n = ap ? s.args.length : Math.min(s.args.length, init.length),
a = new Array(4 * n + 4), i, j = 1;
for(i = 0; i < n; ++i){
a[j++] = s.args[i];
a[j++] = "=";
a[j++] = ap ? init + "[" + i + "]": init[i];
a[j++] = ",";
}
a[0] = "(";
a[j++] = "(";
a[j++] = s.body;
a[j] = "))";
return a.join(""); // String
}
});
})();
}
}};});
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