Add history for predictor moves
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@ -1,34 +1,42 @@
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import Journal from './Journal';
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const DEFAULT_EPSILON = 0.01;
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function create_key(steps: number[]): string {
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return steps.join(':');
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}
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class Daemon {
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base: number;
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static DEFAULT_EPSILON = 0.01;
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humanCount: number;
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private readonly thisId: string;
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robotCount: number;
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private readonly base: number;
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epsilon: number;
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private readonly humanCount: number;
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weights: { [key: string]: number } = {};
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private readonly robotCount: number;
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private readonly epsilon: number;
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private weights: { [key: string]: number } = {};
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constructor(
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id: string,
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base: number,
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humanCount: number,
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robotCount: number,
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epsilon: number = DEFAULT_EPSILON
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epsilon: number = Daemon.DEFAULT_EPSILON
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) {
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this.thisId = id;
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this.base = base;
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this.humanCount = humanCount;
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this.robotCount = robotCount;
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this.epsilon = epsilon;
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}
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get id(): string {
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return this.thisId;
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}
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get power(): number {
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return this.humanCount + this.robotCount;
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}
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@ -53,6 +61,10 @@ class Daemon {
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this._adjustWeight([...steps, humanValue], adjustmentWeight);
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}
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getWeights() {
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return { ...this.weights };
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}
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private _getStepSlice(journal: Journal): number[] {
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return journal.getLastMovements(this.humanCount, this.robotCount);
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}
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16
src/Move.ts
16
src/Move.ts
@ -2,12 +2,20 @@
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* Represents one game move.
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*/
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class Move {
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public human: number;
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public robot: number;
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private readonly itsHuman: number;
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private readonly itsRobot: number;
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constructor(human: number, robot: number) {
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this.human = human;
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this.robot = robot;
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this.itsHuman = human;
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this.itsRobot = robot;
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}
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get human() {
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return this.itsHuman;
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}
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get robot() {
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return this.itsRobot;
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}
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}
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@ -3,9 +3,10 @@ import Journal from './Journal';
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import Supervisor from './Supervisor';
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interface DaemonConfig {
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id?: string;
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human: number;
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robot: number;
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epsilon: number;
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epsilon?: number;
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}
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interface PredictorConfig {
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@ -14,15 +15,22 @@ interface PredictorConfig {
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daemons: DaemonConfig[];
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}
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interface HistoryRecord {
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score: number;
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move: [number, number];
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rates: { [id: string]: number };
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weights: { [id: string]: any };
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}
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const DEFAULT_CONFIG: PredictorConfig = {
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base: 2,
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supervisor_epsilon: 0.01,
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daemons: [
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{ human: 2, robot: 2, epsilon: 0.01 },
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{ human: 3, robot: 3, epsilon: 0.01 },
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{ human: 4, robot: 4, epsilon: 0.01 },
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{ human: 5, robot: 5, epsilon: 0.01 },
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{ human: 6, robot: 6, epsilon: 0.01 },
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{ human: 2, robot: 2 },
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{ human: 3, robot: 3 },
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{ human: 4, robot: 4 },
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{ human: 5, robot: 5 },
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{ human: 6, robot: 6 },
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],
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};
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@ -30,7 +38,7 @@ export default class Predictor {
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/**
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* @type {Number}
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*/
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base: number;
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readonly base: number;
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/**
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* @type {Number}
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@ -47,12 +55,15 @@ export default class Predictor {
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*/
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supervisor: Supervisor;
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history: HistoryRecord[];
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constructor(config: PredictorConfig = DEFAULT_CONFIG) {
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this.base = config.base;
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this.score = 0;
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this.journal = new Journal();
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const daemons = this._createDaemons(config.daemons);
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this.supervisor = new Supervisor(daemons, config.supervisor_epsilon);
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this.history = [];
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}
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pass(humanValue: number): number {
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@ -63,16 +74,29 @@ export default class Predictor {
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this.score += prediction === humanValue ? -1 : 1;
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this.supervisor.adjust(this.journal, humanValue);
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this.journal.makeMove(humanValue, prediction);
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this.history.push({
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score: this.score,
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move: [humanValue, prediction],
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rates: this.supervisor.rates(),
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weights: this.supervisor.weights(),
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});
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return prediction;
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}
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showHistory(deep: number): HistoryRecord[] {
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return this.history.slice(-deep);
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}
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private _createDaemons(daemonConfigs: DaemonConfig[]): Daemon[] {
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return daemonConfigs.map(config => {
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const epsilon = config.epsilon || Daemon.DEFAULT_EPSILON;
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return new Daemon(
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config.id ||
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`daemon-${config.human}-${config.robot}-${epsilon}`,
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this.base,
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config.human,
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config.robot,
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config.epsilon || 0.01
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epsilon
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);
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});
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}
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@ -1,8 +1,6 @@
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import Journal from './Journal';
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import Daemon from './Daemon';
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const DEFAULT_EPSILON = 0.01;
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interface DaemonRate {
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daemon: Daemon;
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rate: number;
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@ -16,11 +14,16 @@ interface Prediction {
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}
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class Supervisor {
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static DEFAULT_EPSILON = 0.01;
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daemonRates: DaemonRate[] = [];
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readonly epsilon: number;
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constructor(daemons: Daemon[], epsilon: number = DEFAULT_EPSILON) {
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constructor(
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daemons: Daemon[],
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epsilon: number = Supervisor.DEFAULT_EPSILON
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) {
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if (!daemons || daemons.length === 0) {
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throw Error('Empty daemon list');
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}
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@ -52,6 +55,22 @@ class Supervisor {
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}
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}
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rates() {
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const result = {};
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this.daemonRates.forEach(r => {
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result[r.daemon.id] = r.rate;
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});
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return result;
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}
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weights() {
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const result = {};
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this.daemonRates.forEach(r => {
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result[r.daemon.id] = r.daemon.getWeights();
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});
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return result;
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}
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private _createPredictions(journal: Journal): Prediction[] {
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return this.daemonRates.map(daemonRate => ({
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daemonRate: daemonRate,
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@ -3,23 +3,32 @@ import { expect } from 'chai';
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import Daemon from '../src/Daemon';
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import Journal from '../src/Journal';
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import Move from '../src/Move';
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describe('Daemon', function() {
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it('Get prediction for beginning', function() {
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const journal = new Journal();
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const daemon = new Daemon(2, 1, 1);
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const predicted = daemon.predict(journal);
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expect(predicted).to.equals(0);
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const daemon = new Daemon('d1', 2, 1, 1);
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expect('d1').to.equals(daemon.id);
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const predicted = daemon.predict(new Journal());
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expect(0).to.equals(predicted);
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});
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it('Can get power', function() {
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const d = new Daemon(2, 5, 8);
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expect(d.power).to.eqls(13);
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const d = new Daemon('d1', 2, 5, 8);
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expect(13).to.eqls(d.power);
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});
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it('Can adjust', function() {
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const journal = new Journal([new Move(0, 0), new Move(0, 0)]);
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const daemon = new Daemon('d1', 2, 1, 1, 0.1);
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daemon.adjust(journal, 1);
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expect({ '0:0:1': 1.1 ** 2 }).to.eqls(daemon.getWeights());
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});
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it('Daemon 1-1', function() {
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const journal = new Journal();
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const daemon = new Daemon(2, 1, 1, 0.1);
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const daemon = new Daemon('d1', 2, 1, 1, 0.1);
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const steps = [
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{
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describe('Supervisor', function() {
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it('Get prediction for one daemon state', function() {
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const supervisor = new Supervisor([new Daemon(2, 1, 1, 0.01)], 0.01);
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const supervisor = new Supervisor(
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[new Daemon('d1', 2, 1, 1, 0.1)],
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0.1
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);
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const journal = new Journal();
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const human1 = 1;
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@ -26,5 +29,7 @@ describe('Supervisor', function() {
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journal.makeMove(human2, predicted1);
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supervisor.adjust(journal, human2);
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expect({ d1: 1.1 ** 2 }).to.eqls(supervisor.rates());
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});
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});
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