- 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/zip.js
dojo.provide("dojox.lang.functional.zip");
// This module adds high-level functions and related constructs:
// - zip combiners
// Defined methods:
// - operate on dense arrays
(function(){
var df = dojox.lang.functional;
dojo.mixin(df, {
// combiners
zip: function(){
// summary: returns an array of arrays, where the i-th array
// contains the i-th element from each of the argument arrays.
// description: This is the venerable zip combiner (for example,
// see Python documentation for general details). The returned
// array is truncated to match the length of the shortest input
// array.
var n = arguments[0].length, m = arguments.length, i;
for(i = 1; i < m; n = Math.min(n, arguments[i++].length));
var t = new Array(n), j;
for(i = 0; i < n; ++i){
var p = new Array(m);
for(j = 0; j < m; p[j] = arguments[j][i], ++j);
t[i] = p;
}
return t; // Array
},
unzip: function(/*Array*/ a){
// summary: similar to dojox.lang.functional.zip(), but takes
// a single array of arrays as the input.
// description: This function is similar to dojox.lang.functional.zip()
// and can be used to unzip objects packed by
// dojox.lang.functional.zip(). It is here mostly to provide
// a short-cut for the different method signature.
return df.zip.apply(null, a); // Array
}
});
})();
