Location: A review of cardiac cellular electrophysiology models @ 1c3a018574af / dojo-presentation / js / dojo / dojox / lang / functional / scan.js

Author:
David Nickerson <david.nickerson@gmail.com>
Date:
2023-04-27 23:14:49-07:00
Desc:
Updates to get things working with OpenCOR 0.7.1
Permanent Source URI:
http://models.cellml.org/workspace/a1/rawfile/1c3a018574af68610e2b95973f32fa831ea3096f/dojo-presentation/js/dojo/dojox/lang/functional/scan.js

dojo.provide("dojox.lang.functional.scan");

dojo.require("dojox.lang.functional.lambda");

// This module adds high-level functions and related constructs:
//	- "scan" family of functions

// Notes:
//	- missing high-level functions are provided with the compatible API: 
//		scanl, scanl1, scanr, scanr1

// Defined methods:
//	- take any valid lambda argument as the functional argument
//	- operate on dense arrays
//	- take a string as the array argument
//	- take an iterator objects as the array argument (only scanl, and scanl1)

(function(){
	var d = dojo, df = dojox.lang.functional, empty = {};

	d.mixin(df, {
		// classic reduce-class functions
		scanl: function(/*Array|String|Object*/ a, /*Function|String|Array*/ f, /*Object*/ z, /*Object?*/ o){
			// summary: repeatedly applies a binary function to an array from left 
			//	to right using a seed value as a starting point; returns an array
			//	of values produced by foldl() at that point.
			if(typeof a == "string"){ a = a.split(""); }
			o = o || d.global; f = df.lambda(f);
			var t, n;
			if(d.isArray(a)){
				// array
				t = new Array((n = a.length) + 1);
				t[0] = z;
				for(var i = 0; i < n; z = f.call(o, z, a[i], i, a), t[++i] = z);
			}else if(typeof a.hasNext == "function" && typeof a.next == "function"){
				// iterator
				t = [z];
				for(var i = 0; a.hasNext(); t.push(z = f.call(o, z, a.next(), i++, a)));
			}else{
				// object/dictionary
				t = [z];
				for(var i in a){
					if(i in empty){ continue; }
					t.push(z = f.call(o, z, a[i], i, a));
				}
			}
			return t;	// Array
		},
		scanl1: function(/*Array|String|Object*/ a, /*Function|String|Array*/ f, /*Object?*/ o){
			// summary: repeatedly applies a binary function to an array from left 
			//	to right; returns an array of values produced by foldl1() at that 
			//	point.
			if(typeof a == "string"){ a = a.split(""); }
			o = o || d.global; f = df.lambda(f);
			var t, n, z;
			if(d.isArray(a)){
				// array
				t = new Array(n = a.length);
				t[0] = z = a[0];
				for(var i = 1; i < n; t[i] = z = f.call(o, z, a[i], i, a), ++i);
			}else if(typeof a.hasNext == "function" && typeof a.next == "function"){
				// iterator
				if(a.hasNext()){
					t = [z = a.next()];
					for(var i = 1; a.hasNext(); t.push(z = f.call(o, z, a.next(), i++, a)));
				}
			}else{
				// object/dictionary
				var first = true;
				for(var i in a){
					if(i in empty){ continue; }
					if(first){
						t = [z = a[i]];
						first = false;
					}else{
						t.push(z = f.call(o, z, a[i], i, a));
					}
				}
			}
			return t;	// Array
		},
		scanr: function(/*Array|String*/ a, /*Function|String|Array*/ f, /*Object*/ z, /*Object?*/ o){
			// summary: repeatedly applies a binary function to an array from right
			//	to left using a seed value as a starting point; returns an array
			//	of values produced by foldr() at that point.
			if(typeof a == "string"){ a = a.split(""); }
			o = o || d.global; f = df.lambda(f);
			var n = a.length, t = new Array(n + 1);
			t[n] = z;
			for(var i = n; i > 0; --i, z = f.call(o, z, a[i], i, a), t[i] = z);
			return t;	// Array
		},
		scanr1: function(/*Array|String*/ a, /*Function|String|Array*/ f, /*Object?*/ o){
			// summary: repeatedly applies a binary function to an array from right
			//	to left; returns an array of values produced by foldr1() at that 
			//	point.
			if(typeof a == "string"){ a = a.split(""); }
			o = o || d.global; f = df.lambda(f);
			var n = a.length, t = new Array(n), z = a[n - 1];
			t[n - 1] = z;
			for(var i = n - 1; i > 0; --i, z = f.call(o, z, a[i], i, a), t[i] = z);
			return t;	// Array
		}
	});
})();