Test file

carrot.umd2.min.js

/*!
 * The MIT License
 * 
 * Copyright (c) 2018-present Liquid Carrot Corporation <people@liquidcarrot.io> https://liquidcarrot.io. 
 * 
 * Copyright for portions of Carrot are held by the following parties as a part of project Carrot:
 * - Copyright 2017 Thomas Wagenaar <wagenaartje@protonmail.com>
 * - Copyright 2017 Juan Cazala - cazala.com
 * 
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 * 
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 * 
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 * THE SOFTWARE.
 */
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/**
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 * Lodash <https://lodash.com/>
 * Copyright OpenJS Foundation and other contributors <https://openjsf.org/>
 * Released under MIT license <https://lodash.com/license>
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 * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors
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T=this;l.assignIn(T,{generation:n,input:e,output:r,equal:o,clean:i,population_size:a,growth:c,cost:s,amount:f,elitism:p,provenance:g,mutation_rate:d,mutation_amount:_,fitness_population:v,fitness:m,selection:y,crossover:w,mutation:A,efficientMutation:b,template:O,max_nodes:E,maxConns:L,maxGates:N}),T.createPool=function(t,n){return Array(n).fill(h.fromJSON({...t.toJSON(),score:void 0}))},T.population=T.createPool(T.template,T.population_size),T.filterGenome=function(t,n,e,r){let o=[...t];const i=function(t){const n=e(t);if("boolean"!=typeof n)throw new Error("pickGenome must always return a boolean!");return n};if(r){for(let n=0;n<t.length;n++)if(i(o[n])){const t=r(o[n]);if(!(t instanceof h))throw new Error("adjustGenome must always return a network!");o[n]=t}}else for(let e=0;e<t.length;e++)i(o[e])&&(o[e]=h.fromJSON(n.toJSON()));return o},T.mutateRandom=function(t,n){let e=n?[...n]:[...T.mutation];e=e.filter((function(n){return 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t/T.population.length},T.toJSON=function(){const t=[];for(let n=0;n<T.population.length;n++)t.push(T.population[n].toJSON());return t},T.fromJSON=function(t){const n=[];for(let e=0;e<t.length;e++)n.push(h.fromJSON(t[e]));T.population=n,T.population_size=n.length}}},function(t,n,e){const r=e(1),o=e(0),i=e(2),u=e(3);t.exports=function t(n,e){const a=this;a.nodes=[],a.connections_self=[],a.incoming=[],a.outgoing=[];for(let t=0;t<n;t++){const t=new u;e&&(t.type=e),a.nodes.push(t)}a.activate=function(t){if(null!=t&&t.length!==a.nodes.length)throw new RangeError("Array with values should be same as the amount of nodes!");const n=[];for(let e=0;e<a.nodes.length;e++){const r=null==t?a.nodes[e].activate():a.nodes[e].activate(t[e]);n.push(r)}return n},a.propagate=function(t,n){if(!n&&r.isPlainObject(t)&&(n=t,t=void 0),null!=t&&t.length!==a.nodes.length)throw new RangeError("Array with values should be same as the amount of nodes!");const e=[];for(let 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n.input_nodes=n.nodes,n.output_nodes=n.nodes,n}static LSTM(t){const n=new i,e=new o(t),u=new o(t),a=new o(t),c=new o(t),s=new o(t),f=new o(t);u.set({bias:1}),a.set({bias:1}),s.set({bias:1}),c.connect(u,r.connection.ALL_TO_ALL_FORWARD),c.connect(a,r.connection.ALL_TO_ALL_FORWARD),c.connect(s,r.connection.ALL_TO_ALL_FORWARD);const l=c.connect(c,r.connection.ONE_TO_ONE),p=c.connect(f,r.connection.ALL_TO_ALL_FORWARD);e.connect(c,r.connection.ALL_TO_ALL_FORWARD),e.connect(s,r.connection.ALL_TO_ALL_FORWARD),e.connect(a,r.connection.ALL_TO_ALL_FORWARD);const h=e.connect(u,r.connection.ALL_TO_ALL_FORWARD);return a.gate(l,r.gating.SELF),s.gate(p,r.gating.OUTPUT),u.gate(h,r.gating.INPUT),n.addNodes(e),n.addNodes(u),n.addNodes(a),n.addNodes(c),n.addNodes(s),n.addNodes(f),n.input_nodes.push(...e.nodes),n.output_nodes.push(...f.nodes),n}static GRU(t){const n=new i,e=new o(t),u=new o(t),a=new o(t),c=new o(t),s=new o(t),f=new o(t),l=new o(t);l.set({bias:0,squash:r.activation.IDENTITY,type:"constant"}),s.set({squash:r.activation.TANH}),a.set({bias:0,squash:r.activation.INVERSE,type:"constant"}),u.set({bias:1}),c.set({bias:0}),e.connect(u,r.connection.ALL_TO_ALL_FORWARD),e.connect(c,r.connection.ALL_TO_ALL_FORWARD),e.connect(s,r.connection.ALL_TO_ALL_FORWARD),l.connect(u,r.connection.ALL_TO_ALL_FORWARD),u.connect(a,r.connection.ONE_TO_ONE,1),l.connect(c,r.connection.ALL_TO_ALL_FORWARD);const p=l.connect(s,r.connection.ALL_TO_ALL_FORWARD);c.gate(p,r.gating.OUTPUT);const h=l.connect(f,r.connection.ALL_TO_ALL_FORWARD),g=s.connect(f,r.connection.ALL_TO_ALL_FORWARD);return u.gate(h,r.gating.OUTPUT),a.gate(g,r.gating.OUTPUT),f.connect(l,r.connection.ONE_TO_ONE,1),n.addNodes(e),n.addNodes(u),n.addNodes(a),n.addNodes(c),n.addNodes(s),n.addNodes(f),n.addNodes(l),n.input_nodes.push(...e.nodes),n.output_nodes.push(...f.nodes),n}static Memory(t,n){const e=new i,u=new o(t);let a=u;const c=[];for(let e=0;e<n;e++){const n=new o(t);n.set({squash:r.activation.IDENTITY,bias:0,type:"constant"}),a.connect(n,r.connection.ONE_TO_ONE,1),c.push(n),a=n}return e.input_nodes.push(...u.nodes),e.output_nodes.push(...c.slice(-1)[0].nodes),c.reverse().forEach(t=>e.addNodes(t)),e}}t.exports=i},function(t,n){var e;e=function(){return this}();try{e=e||new Function("return this")()}catch(t){"object"==typeof window&&(e=window)}t.exports=e},function(t,n,e){t.exports={activation:e(6),cost:e(7),methods:e(0),Connection:e(8),architect:e(21),Network:e(4),config:e(2),Group:e(5),Layer:e(11),Node:e(3),Neat:e(33),Population:e(34),GAN:e(35),multi:e(9)}},function(t,n,e){const r=e(6),o={ADD_NODE:{name:"ADD_NODE",randomActivation:!0},SUB_NODE:{name:"SUB_NODE",keep_gates:!0},ADD_CONN:{name:"ADD_CONN"},SUB_CONN:{name:"REMOVE_CONN"},MOD_WEIGHT:{name:"MOD_WEIGHT",min:-1,max:1},MOD_BIAS:{name:"MOD_BIAS",min:-1,max:1},MOD_ACTIVATION:{name:"MOD_ACTIVATION",mutateOutput:!1,allowed:[r.LOGISTIC,r.TANH,r.RELU,r.IDENTITY,r.STEP,r.SOFTSIGN,r.SINUSOID,r.GAUSSIAN,r.BENT_IDENTITY,r.BIPOLAR,r.BIPOLAR_SIGMOID,r.HARD_TANH,r.ABSOLUTE,r.INVERSE,r.SELU]},ADD_SELF_CONN:{name:"ADD_SELF_CONN"},SUB_SELF_CONN:{name:"SUB_SELF_CONN"},ADD_GATE:{name:"ADD_GATE"},SUB_GATE:{name:"SUB_GATE"},ADD_BACK_CONN:{name:"ADD_BACK_CONN"},SUB_BACK_CONN:{name:"SUB_BACK_CONN"},SWAP_NODES:{name:"SWAP_NODES",mutateOutput:!1}};o.ALL=[o.ADD_NODE,o.SUB_NODE,o.ADD_CONN,o.SUB_CONN,o.MOD_WEIGHT,o.MOD_BIAS,o.MOD_ACTIVATION,o.ADD_GATE,o.SUB_GATE,o.ADD_SELF_CONN,o.SUB_SELF_CONN,o.ADD_BACK_CONN,o.SUB_BACK_CONN,o.SWAP_NODES],o.FFW=[o.ADD_NODE,o.SUB_NODE,o.ADD_CONN,o.SUB_CONN,o.MOD_WEIGHT,o.MOD_BIAS,o.MOD_ACTIVATION,o.SWAP_NODES],t.exports=o},function(t,n){t.exports={FITNESS_PROPORTIONATE:{name:"FITNESS_PROPORTIONATE"},POWER:{name:"POWER",power:4},TOURNAMENT:{name:"TOURNAMENT",size:5,probability:.5}}},function(t,n){t.exports={SINGLE_POINT:{name:"SINGLE_POINT",config:[.4]},TWO_POINT:{name:"TWO_POINT",config:[.4,.9]},UNIFORM:{name:"UNIFORM"},AVERAGE:{name:"AVERAGE"}}},function(t,n){t.exports={OUTPUT:{name:"OUTPUT"},INPUT:{name:"INPUT"},SELF:{name:"SELF"}}},function(t,n){t.exports={ALL_TO_ALL_FORWARD:{name:"OUTPUT"},ALL_TO_ELSE:{name:"INPUT"},ONE_TO_ONE:{name:"SELF"}}},function(t,n){const e={FIXED:function(t){if(null==t)throw new ReferenceError("Missing required parameter 'base_rate'");return t},STEP:function(t,n,e){if(null==t||null==n)throw new ReferenceError("Missing required parameter 'base_rate' or 'iteration'");return e=Object.assign({gamma:.9,step_size:100},e),t*Math.pow(e.gamma,Math.floor(n/e.step_size))},EXP:function(t,n,e){if(null==t||null==n)throw new ReferenceError("Missing required parameter 'base_rate' or 'iteration'");return e=Object.assign({gamma:.999},e),t*Math.pow(e.gamma,n)},INV:function(t,n,e){if(null==t||null==n)throw new ReferenceError("Missing required parameter 'base_rate' or 'iteration'");return e=Object.assign({gamma:.001,power:2},e),t*Math.pow(1+e.gamma*n,-e.power)}};t.exports=e},function(t,n){t.exports=function(t){return t.webpackPolyfill||(t.deprecate=function(){},t.paths=[],t.children||(t.children=[]),Object.defineProperty(t,"loaded",{enumerable:!0,get:function(){return t.l}}),Object.defineProperty(t,"id",{enumerable:!0,get:function(){return t.i}}),t.webpackPolyfill=1),t}},function(t,n,e){const r=e(0),o=e(4),i=e(5),u=e(11),a=e(3),c=e(1),s=(e(28),{Construct:function(t){const n=new o(0,0);let e,r,s=[];for(e=0;e<t.length;e++)if(t[e]instanceof i||t[e]instanceof u)for(r=0;r<t[e].nodes.length;r++)s.push(t[e].nodes[r]),0===e?n.input_nodes.add(t[e].nodes[r]):e===t.length-1&&n.output_nodes.add(t[e].nodes[r]);else t[e]instanceof a&&s.push(t[e]);const f=c.reduce(s,(t,n)=>t+("output"===n.type),0),l=c.reduce(s,(t,n)=>t+("input"===n.type),0),p=[],h=[];for(e=s.length-1;e>=0;e--)"output"===s[e].type||!f&&s[e].outgoing.length+s[e].gated.length===0?(s[e].type="output",n.output_size++,h.push(s[e]),s.splice(e,1)):"input"!==s[e].type&&(l||s[e].incoming.length)||(s[e].type="input",n.input_size++,p.push(s[e]),s.splice(e,1));if(n.input=n.input_size,n.output=n.output_size,s=p.concat(s).concat(h),0===n.input_size||0===n.output_size)throw new Error("Given nodes have no clear input/output node!");for(e=0;e<s.length;e++){for(r=0;r<s[e].gated.length;r++)n.gates.push(s[e].gated[r]);0!==s[e].connections_self.weight&&n.connections.push(s[e].connections_self)}return n.addNodes(s),n},Perceptron:function(){const t=Array.from(arguments);if(t.length<3)throw new Error("You have to specify at least 3 layers");const n=[new i(t[0])];return c.times(t.length-1,e=>{const o=new i(t[e+1]);n.push(o),n[e].connect(n[e+1],r.connection.ALL_TO_ALL)}),s.Construct(n)},Random:function(t,n,e,i){i?!i&&c.isPlainObject(e)&&(i=e,e=n,n=void 0):(e=n,n=void 0),n=n||0,i=c.defaults(i,{connections:2*n,backconnections:0,selfconnections:0,gates:0});const u=new o(t,e);return c.times(n,()=>u.mutate(r.mutation.ADD_NODE)),c.times(i.connections-n,()=>u.mutate(r.mutation.ADD_CONN)),c.times(i.backconnections,()=>u.mutate(r.mutation.ADD_BACK_CONN)),c.times(i.selfconnections,()=>u.mutate(r.mutation.ADD_SELF_CONN)),c.times(i.gates,()=>u.mutate(r.mutation.ADD_GATE)),u},LSTM:function(){const t=Array.from(arguments),n=t.slice(-1)[0];let e,o;if("number"==typeof n?(e=t,o={}):(e=t.slice(t.length-1),o=n),e.length<3)throw new Error("You have to specify at least 3 layer sizes, one for each of 1.inputs, 2. hidden, 3. output");o=c.defaults(o,{memory_to_memory:!1,output_to_memory:!1,output_to_gates:!1,input_to_output:!0,input_to_deep:!0});const u=new i(e.shift());u.set({type:"input"});const a=new i(e.pop());a.set({type:"output"}),o.input_to_output&&u.connect(a,r.connection.ALL_TO_ALL);const f=e,l=[];let p=u;c.times(f.length,t=>{const n=f[t],e=new i(n),c=new i(n),s=new i(n),h=new i(n),g=t===f.length-1?a:new i(n);e.set({bias:1}),c.set({bias:1}),h.set({bias:1});const d=p.connect(s,r.connection.ALL_TO_ALL);p.connect(e,r.connection.ALL_TO_ALL),p.connect(h,r.connection.ALL_TO_ALL),p.connect(c,r.connection.ALL_TO_ALL),s.connect(e,r.connection.ALL_TO_ALL),s.connect(c,r.connection.ALL_TO_ALL),s.connect(h,r.connection.ALL_TO_ALL);const 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