- Author:
- David Nickerson <nickerso@users.sourceforge.net>
- Date:
- 2010-05-04 12:37:19+12:00
- Desc:
- adding initial version of SED-ML L1V1 file reproducing what is in graphs/BR-INa-variants.xml
- Permanent Source URI:
- https://models.cellml.org/workspace/a1/rawfile/a80b964384c0c7683d7c5d07b73a5af7a973d46c/dojo-presentation/js/dojo/dojox/lang/functional/object.js
dojo.provide("dojox.lang.functional.object");
dojo.require("dojox.lang.functional.lambda");
// This module adds high-level functions and related constructs:
// - object/dictionary helpers
// Defined methods:
// - take any valid lambda argument as the functional argument
// - skip all attributes that are present in the empty object
// (IE and/or 3rd-party libraries).
(function(){
var d = dojo, df = dojox.lang.functional, empty = {};
d.mixin(df, {
// object helpers
keys: function(/*Object*/ obj){
// summary: returns an array of all keys in the object
var t = [];
for(var i in obj){
if(i in empty){ continue; }
t.push(i);
}
return t; // Array
},
values: function(/*Object*/ obj){
// summary: returns an array of all values in the object
var t = [];
for(var i in obj){
if(i in empty){ continue; }
t.push(obj[i]);
}
return t; // Array
},
filterIn: function(/*Object*/ obj, /*Function|String|Array*/ f, /*Object?*/ o){
// summary: creates new object with all attributes that pass the test
// implemented by the provided function.
o = o || d.global; f = df.lambda(f);
var t = {}, v;
for(var i in obj){
if(i in empty){ continue; }
v = obj[i];
if(f.call(o, v, i, obj)){ t[i] = v; }
}
return t; // Object
},
forIn: function(/*Object*/ obj, /*Function|String|Array*/ f, /*Object?*/ o){
// summary: iterates over all object attributes.
o = o || d.global; f = df.lambda(f);
for(var i in obj){
if(i in empty){ continue; }
f.call(o, obj[i], i, obj);
}
return o; // Object
},
mapIn: function(/*Object*/ obj, /*Function|String|Array*/ f, /*Object?*/ o){
// summary: creates new object with the results of calling
// a provided function on every attribute in this object.
o = o || d.global; f = df.lambda(f);
var t = {};
for(var i in obj){
if(i in empty){ continue; }
t[i] = f.call(o, obj[i], i, obj);
}
return t; // Object
}
});
})();