- Author:
- David Nickerson <david.nickerson@gmail.com>
- Date:
- 2021-09-16 00:41:19+12:00
- Desc:
- Updating Noble 1962 model:
* Exposing the membrane potential to the top-level model;
* adding SED-ML for the paced and pacemaker variants of the model.
Using OpenCOR Snapshot release 2021-09-14.
- Permanent Source URI:
- https://models.fieldml.org/workspace/a1/rawfile/f954e59183314cd37f86c8832dc81317d01c8ec5/dojo-presentation/js/dojo/dojox/lang/functional/util.js
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
}
});
})();
