- 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/tests/fold.js
dojo.provide("dojox.lang.tests.fold");
dojo.require("dojox.lang.functional.fold");
dojo.require("dojox.lang.functional.scan");
dojo.require("dojox.lang.functional.curry");
dojo.require("dojox.lang.functional.sequence");
dojo.require("dojox.lang.functional.listcomp");
dojo.require("dojox.lang.functional.object");
(function(){
var df = dojox.lang.functional, a = df.arg, x = {a: 1, b: 2, c: 3};
var revArrayIter = function(array){
this.array = array;
this.position = array.length - 1;
};
dojo.extend(revArrayIter, {
hasNext: df.lambda("this.position >= 0"),
next: df.lambda("this.array[this.position--]")
});
tests.register("dojox.lang.tests.fold", [
function testFoldl1(t){ t.assertEqual(df.foldl([1, 2, 3], "+", 0), 6); },
function testFoldl2(t){ t.assertEqual(df.foldl1([1, 2, 3], "*"), 6); },
function testFoldl3(t){ t.assertEqual(df.foldl1([1, 2, 3], "/"), 1/6); },
function testFoldl4(t){ t.assertEqual(df.foldl1([1, 2, 3], df.partial(Math.max, a, a)), 3); },
function testFoldl5(t){ t.assertEqual(df.foldl1([1, 2, 3], df.partial(Math.min, a, a)), 1); },
function testFoldlIter(t){
var iter = new revArrayIter([1, 2, 3]);
t.assertEqual(df.foldl(iter, "+", 0), 6);
},
function testFoldl1Iter(t){
var iter = new revArrayIter([1, 2, 3]);
t.assertEqual(df.foldl1(iter, "/"), 3/2);
},
function testFoldlObj(t){ t.assertEqual(df.foldl(x, "*", 2), 12); },
function testFoldl1Obj(t){ t.assertEqual(df.foldl1(x, "+"), 6); },
function testFoldr1(t){ t.assertEqual(df.foldr([1, 2, 3], "+", 0), 6); },
function testFoldr2(t){ t.assertEqual(df.foldr1([1, 2, 3], "*"), 6); },
function testFoldr3(t){ t.assertEqual(df.foldr1([1, 2, 3], "/"), 3/2); },
function testFoldr4(t){ t.assertEqual(df.foldr1([1, 2, 3], df.partial(Math.max, a, a)), 3); },
function testFoldr5(t){ t.assertEqual(df.foldr1([1, 2, 3], df.partial(Math.min, a, a)), 1); },
function testUnfold1(t){
// simulate df.repeat()
t.assertEqual(
df.repeat(10, "2*", 1),
df.unfold("x[0] >= 10", "x[1]", "[x[0] + 1, 2 * x[1]]", [0, 1])
);
},
function testUnfold2(t){
// simulate df.until()
t.assertEqual(
df.until(">1024", "2*", 1),
df.unfold(">1024", "x", "2*", 1)
);
},
function testScanl1(t){ t.assertEqual(df.scanl([1, 2, 3], "+", 0), [0, 1, 3, 6]); },
function testScanl2(t){ t.assertEqual(df.scanl1([1, 2, 3], "*"), [1, 2, 6]); },
function testScanl3(t){ t.assertEqual(df.scanl1([1, 2, 3], df.partial(Math.max, a, a)), [1, 2, 3]); },
function testScanl4(t){ t.assertEqual(df.scanl1([1, 2, 3], df.partial(Math.min, a, a)), [1, 1, 1]); },
function testScanlIter(t){
var iter = new revArrayIter([1, 2, 3]);
t.assertEqual(df.scanl(iter, "+", 0), [0, 3, 5, 6]);
},
function testScanl1Iter(t){
var iter = new revArrayIter([1, 2, 3]);
t.assertEqual(df.scanl1(iter, "*"), [3, 6, 6]);
},
function testScanlObj(t){ t.assertEqual(df.scanl(x, "+", 0), df.scanl(df.values(x), "+", 0)); },
function testScanl1Obj(t){ t.assertEqual(df.scanl1(x, "*"), df.scanl1(df.values(x), "*")); },
function testScanr1(t){ t.assertEqual(df.scanr([1, 2, 3], "+", 0), [6, 5, 3, 0]); },
function testScanr2(t){ t.assertEqual(df.scanr1([1, 2, 3], "*"), [6, 6, 3]); },
function testScanr3(t){ t.assertEqual(df.scanr1([1, 2, 3], df.partial(Math.max, a, a)), [3, 3, 3]); },
function testScanr4(t){ t.assertEqual(df.scanr1([1, 2, 3], df.partial(Math.min, a, a)), [1, 2, 3]); }
]);
})();
