[483] | 1 | dojo.provide("dojox.lang.functional.curry"); |
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| 2 | |
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| 3 | dojo.require("dojox.lang.functional.lambda"); |
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| 4 | |
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| 5 | // This module adds high-level functions and related constructs: |
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| 6 | // - currying and partial functions |
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| 7 | // - argument pre-processing: mixer and flip |
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| 8 | |
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| 9 | // Acknowledgements: |
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| 10 | // - partial() is based on work by Oliver Steele |
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| 11 | // (http://osteele.com/sources/javascript/functional/functional.js) |
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| 12 | // which was published under MIT License |
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| 13 | |
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| 14 | // Defined methods: |
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| 15 | // - take any valid lambda argument as the functional argument |
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| 16 | |
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| 17 | (function(){ |
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| 18 | var df = dojox.lang.functional, ap = Array.prototype; |
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| 19 | |
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| 20 | var currying = function(/*Object*/ info){ |
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| 21 | return function(){ // Function |
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| 22 | var args = info.args.concat(ap.slice.call(arguments, 0)); |
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| 23 | if(arguments.length + info.args.length < info.arity){ |
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| 24 | return currying({func: info.func, arity: info.arity, args: args}); |
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| 25 | } |
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| 26 | return info.func.apply(this, args); |
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| 27 | }; |
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| 28 | }; |
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| 29 | |
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| 30 | dojo.mixin(df, { |
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| 31 | // currying and partial functions |
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| 32 | curry: function(/*Function|String|Array*/ f, /*Number?*/ arity){ |
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| 33 | // summary: |
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| 34 | // curries a function until the arity is satisfied, at |
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| 35 | // which point it returns the calculated value. |
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| 36 | f = df.lambda(f); |
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| 37 | arity = typeof arity == "number" ? arity : f.length; |
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| 38 | return currying({func: f, arity: arity, args: []}); // Function |
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| 39 | }, |
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| 40 | arg: {}, // marker for missing arguments |
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| 41 | partial: function(/*Function|String|Array*/ f){ |
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| 42 | // summary: |
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| 43 | // creates a function where some arguments are bound, and |
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| 44 | // some arguments (marked as dojox.lang.functional.arg) are will be |
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| 45 | // accepted by the final function in the order they are encountered. |
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| 46 | // description: |
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| 47 | // This method is used to produce partially bound |
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| 48 | // functions. If you want to change the order of arguments, use |
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| 49 | // dojox.lang.functional.mixer() or dojox.lang.functional.flip(). |
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| 50 | var a = arguments, l = a.length, args = new Array(l - 1), p = [], i = 1, t; |
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| 51 | f = df.lambda(f); |
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| 52 | for(; i < l; ++i){ |
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| 53 | t = a[i]; |
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| 54 | args[i - 1] = t; |
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| 55 | if(t === df.arg){ |
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| 56 | p.push(i - 1); |
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| 57 | } |
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| 58 | } |
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| 59 | return function(){ // Function |
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| 60 | var t = ap.slice.call(args, 0), // clone the array |
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| 61 | i = 0, l = p.length; |
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| 62 | for(; i < l; ++i){ |
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| 63 | t[p[i]] = arguments[i]; |
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| 64 | } |
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| 65 | return f.apply(this, t); |
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| 66 | }; |
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| 67 | }, |
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| 68 | // argument pre-processing |
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| 69 | mixer: function(/*Function|String|Array*/ f, /*Array*/ mix){ |
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| 70 | // summary: |
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| 71 | // changes the order of arguments using an array of |
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| 72 | // numbers mix --- i-th argument comes from mix[i]-th place |
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| 73 | // of supplied arguments. |
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| 74 | f = df.lambda(f); |
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| 75 | return function(){ // Function |
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| 76 | var t = new Array(mix.length), i = 0, l = mix.length; |
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| 77 | for(; i < l; ++i){ |
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| 78 | t[i] = arguments[mix[i]]; |
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| 79 | } |
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| 80 | return f.apply(this, t); |
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| 81 | }; |
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| 82 | }, |
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| 83 | flip: function(/*Function|String|Array*/ f){ |
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| 84 | // summary: |
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| 85 | // changes the order of arguments by reversing their |
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| 86 | // order. |
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| 87 | f = df.lambda(f); |
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| 88 | return function(){ // Function |
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| 89 | // reverse arguments |
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| 90 | var a = arguments, l = a.length - 1, t = new Array(l + 1), i = 0; |
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| 91 | for(; i <= l; ++i){ |
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| 92 | t[l - i] = a[i]; |
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| 93 | } |
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| 94 | return f.apply(this, t); |
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| 95 | }; |
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| 96 | } |
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| 97 | }); |
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| 98 | })(); |
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