1 | dojo.provide("dojox.lang.functional.numrec"); |
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2 | |
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3 | dojo.require("dojox.lang.functional.lambda"); |
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4 | dojo.require("dojox.lang.functional.util"); |
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5 | |
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6 | // This module provides recursion combinators: |
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7 | // - a simplified numeric linear recursion combinator. |
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8 | |
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9 | // Acknoledgements: |
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10 | // - recursion combinators are inspired by Manfred von Thun's article |
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11 | // "Recursion Theory and Joy" |
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12 | // (http://www.latrobe.edu.au/philosophy/phimvt/joy/j05cmp.html) |
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13 | |
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14 | // Notes: |
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15 | // - recursion combinators produce a function, which implements |
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16 | // their respective recusion patterns. String lambdas are inlined, if possible. |
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17 | |
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18 | (function(){ |
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19 | var df = dojox.lang.functional, inline = df.inlineLambda, |
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20 | _r_i = ["_r", "_i"]; |
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21 | |
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22 | df.numrec = function(/*Object*/ then, /*Function|String|Array*/ after){ |
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23 | // summary: |
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24 | // Generates a function for the simplified numeric linear recursion pattern. |
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25 | // All parameter functions are called in the context of "this" object. |
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26 | // description: |
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27 | // This is a simplification of the linear recursion combinator: |
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28 | // - the generated function takes one numeric parameter "x", |
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29 | // - the "cond" is fixed and checks for 0. |
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30 | // - the "before" is fixed and the generated function is called with "x - 1". |
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31 | // - the "above is called with two parameters: the return from the generated |
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32 | // function, and with "x". |
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33 | // - as you can see the recursion is done by decreasing the parameter, |
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34 | // and calling itself until it reaches 0. |
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35 | // then: |
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36 | // The value, which is used upon termination of the recursion. |
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37 | // It will be returned as the value of the generated function. |
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38 | // above: |
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39 | // The lambda expression, which is called after the recursive step. |
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40 | // It accepts two parameters: the returned value from the recursive step, and |
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41 | // the original parameter. The returned value will be returned as the value of |
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42 | // the generated function. |
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43 | |
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44 | var a, as, dict = {}, |
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45 | add2dict = function(x){ dict[x] = 1; }; |
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46 | if(typeof after == "string"){ |
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47 | as = inline(after, _r_i, add2dict); |
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48 | }else{ |
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49 | a = df.lambda(after); |
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50 | as = "_a.call(this, _r, _i)"; |
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51 | } |
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52 | var locals = df.keys(dict), |
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53 | f = new Function(["_x"], "var _t=arguments.callee,_r=_t.t,_i".concat( // Function |
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54 | locals.length ? "," + locals.join(",") : "", |
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55 | a ? ",_a=_t.a" : "", |
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56 | ";for(_i=1;_i<=_x;++_i){_r=", |
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57 | as, |
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58 | "}return _r" |
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59 | )); |
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60 | f.t = then; |
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61 | if(a){ f.a = a; } |
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62 | return f; |
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63 | }; |
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64 | })(); |
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65 | |
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66 | /* |
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67 | For documentation only: |
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68 | |
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69 | 1) The original recursive version: |
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70 | |
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71 | var numrec1 = function(then, after){ |
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72 | var after = df.lambda(after); |
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73 | return function(x){ |
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74 | return x ? after.call(this, arguments.callee.call(this, x - 1), x) : then; |
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75 | }; |
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76 | }; |
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77 | |
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78 | 2) The original iterative version (before minification and inlining): |
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79 | |
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80 | var numrec2 = function(then, after){ |
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81 | var after = df.lambda(after); |
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82 | return function(x){ |
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83 | var ret = then, i; |
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84 | for(i = 1; i <= x; ++i){ |
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85 | ret = after.call(this, ret, i); |
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86 | } |
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87 | return ret; |
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88 | }; |
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89 | }; |
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90 | |
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91 | */ |
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