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using System.Collections;
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using System.Collections.Generic;
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using UnityEngine;
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using System.Xml.Serialization;
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using System.IO;
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/// <summary>
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/// Response data
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///
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/// Author: kacerekz
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///
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/// </summary>
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[XmlRoot("Response")]
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public class Response
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{
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/// <summary>
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/// Hours per prediction segment
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/// </summary>
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[XmlElement]
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public int hoursPerSegment;
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/// <summary>
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/// Rush predictions
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/// </summary>
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[XmlArray("predictions")]
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[XmlArrayItem("prediction")]
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public Prediction[] predicitons;
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/// <summary>
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/// Creates a random response
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/// </summary>
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/// <returns>A random response</returns>
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public static Response Randomize()
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{
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Response r = new Response();
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r.hoursPerSegment = 3;
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Date start = Date.Randomize();
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Date end = start.Clone();
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end.day += Random.Range(0, 2);
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end.hour += Random.Range(0, 18);
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// If end gets generated before start, swap them
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if (start.day == end.day && start.hour > end.hour)
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{
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Date tmp = start;
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start = end;
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end = tmp;
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}
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List<Prediction> predictionList = new List<Prediction>();
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Date curr = start;
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while (curr.CompareTo(end) <= 0)
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{
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Prediction p = new Prediction();
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p.dateTime = curr;
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p.predictions = new double[Buildings.buildings.Length];
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for (int i = 0; i < p.predictions.Length; i++)
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p.predictions[i] = Random.Range(-1, 100);
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predictionList.Add(p);
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Date next = curr.Clone();
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next.hour += r.hoursPerSegment;
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if (next.hour > 18)
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{
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next.day++;
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next.hour = 7;
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}
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curr = next;
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}
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r.predicitons = predictionList.ToArray();
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return r;
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}
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}
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