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91 lines
2.8 KiB
91 lines
2.8 KiB
dojo.provide("dojox.lang.functional.numrec"); |
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dojo.require("dojox.lang.functional.lambda"); |
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dojo.require("dojox.lang.functional.util"); |
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// This module provides recursion combinators: |
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// - a simplified numeric linear recursion combinator. |
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// Acknowledgements: |
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// - recursion combinators are inspired by Manfred von Thun's article |
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// "Recursion Theory and Joy" |
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// (http://www.latrobe.edu.au/philosophy/phimvt/joy/j05cmp.html) |
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// Notes: |
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// - recursion combinators produce a function, which implements |
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// their respective recusion patterns. String lambdas are inlined, if possible. |
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(function(){ |
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var df = dojox.lang.functional, inline = df.inlineLambda, |
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_r_i = ["_r", "_i"]; |
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df.numrec = function(/*Object*/ then, /*Function|String|Array*/ after){ |
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// summary: |
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// Generates a function for the simplified numeric linear recursion pattern. |
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// All parameter functions are called in the context of "this" object. |
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// description: |
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// This is a simplification of the linear recursion combinator: |
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// - the generated function takes one numeric parameter "x", |
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// - the "cond" is fixed and checks for 0. |
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// - the "before" is fixed and the generated function is called with "x - 1". |
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// - the "above is called with two parameters: the return from the generated |
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// function, and with "x". |
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// - as you can see the recursion is done by decreasing the parameter, |
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// and calling itself until it reaches 0. |
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// then: |
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// The value, which is used upon termination of the recursion. |
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// It will be returned as the value of the generated function. |
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// above: |
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// The lambda expression, which is called after the recursive step. |
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// It accepts two parameters: the returned value from the recursive step, and |
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// the original parameter. The returned value will be returned as the value of |
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// the generated function. |
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var a, as, dict = {}, |
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add2dict = function(x){ dict[x] = 1; }; |
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if(typeof after == "string"){ |
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as = inline(after, _r_i, add2dict); |
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}else{ |
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a = df.lambda(after); |
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as = "_a.call(this, _r, _i)"; |
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} |
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var locals = df.keys(dict), |
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f = new Function(["_x"], "var _t=arguments.callee,_r=_t.t,_i".concat( // Function |
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locals.length ? "," + locals.join(",") : "", |
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a ? ",_a=_t.a" : "", |
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";for(_i=1;_i<=_x;++_i){_r=", |
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as, |
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"}return _r" |
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)); |
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f.t = then; |
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if(a){ f.a = a; } |
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return f; |
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}; |
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})(); |
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/* |
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For documentation only: |
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1) The original recursive version: |
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var numrec1 = function(then, after){ |
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var after = df.lambda(after); |
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return function(x){ |
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return x ? after.call(this, arguments.callee.call(this, x - 1), x) : then; |
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}; |
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}; |
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2) The original iterative version (before minification and inlining): |
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var numrec2 = function(then, after){ |
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var after = df.lambda(after); |
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return function(x){ |
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var ret = then, i; |
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for(i = 1; i <= x; ++i){ |
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ret = after.call(this, ret, i); |
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} |
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return ret; |
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}; |
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}; |
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*/ |