protected void CastMeditate()
{
isMeditateInProcess = true;
SpellObject spellObject = null;
StatList spellStat = null;
spellObject = Data.SpellObjects.GetItemByName("meditate", false);
if (spellObject != null)
{
spellStat = Data.AvatarSpells.GetItemByID(spellObject.ID);
}
if (spellObject == null || spellStat == null)
{
Log("WARN", "Can't find spell " + spellObject.Name + ".");
return;
}
if (Data.IsResting)
{
SendUserCommandStand();
}
SendReqCastMessage(spellObject);
System.Threading.Thread.Sleep(21000);
isMeditateInProcess = false;
if (!Data.IsResting)
{
SendUserCommandRest();
}
}
public List <ProtoActivity> TextSearch(string query, int count)
{
if (query == null || query == "" || count < 1)
{
return(new List <ProtoActivity>(0));
}
StatList <double, ProtoActivity> sortedItems = new StatList <double, ProtoActivity>(new ReverseDoubleComparer(), new NoopCombiner <ProtoActivity>());
foreach (ProtoActivity protoActivity in this.ProtoActivities)
{
double textQuality = this.stringQueryMatcher.StringScore(protoActivity.Text, query);
if (textQuality > 0)
{
double matchQuality = textQuality + protoActivity.IntrinsicInterest;
sortedItems.Add(matchQuality, protoActivity);
}
}
count = Math.Min(count, sortedItems.NumItems);
List <ProtoActivity> top = new List <ProtoActivity>(count);
for (int i = 0; i < count; i++)
{
top.Add(sortedItems.GetValueAtIndex(i).Value);
}
return(top);
}
public static void Main(string[] args)
{
StatXClient statxClient = new StatXClient();
Configuration configuration = statxClient.getConfiguration();
Console.WriteLine("Enter Stat Title");
string statTitle = Console.ReadLine();
string groupName = "StatX-API-Examples";
GroupsApi groupsApi = new GroupsApi(configuration);
GroupList groupList = groupsApi.GetGroups(groupName);
Group group;
if ((groupList == null) || (groupList.Data == null) || (groupList.Data.Count == 0))
{
// The group does not exist. Let's create one. Since we are creating the group
// the api will add the current user as a member and admin of the group.
group = new Group(null, groupName, null);
group = groupsApi.CreateGroup(group);
}
else
{
// Pick the first group (should be the only one).
group = groupList.Data[0];
}
// Find the stat by name. If the stat does not exist then create it.
//
// Note: The stat title is not unique. In general it is not a good idea to use
// the stat title as a key to determine whether the stat exists or not. If possible
// use the statid instead.
StatsApi statsApi = new StatsApi(configuration);
StatList statList = statsApi.GetStats(group.Name, statTitle);
if ((statList == null) || (statList.Data == null) || (statList.Data.Count == 0))
{
// The stat does not exist. Let's create a number stat.
HorizontalBarStat horizontalBar = new HorizontalBarStat();
horizontalBar.Title = statTitle;
horizontalBar.VisualType = Stat.VisualTypeEnum.HorizontalBars;
horizontalBar.Items = getStockInfo();
statsApi.CreateStat(group.Id, horizontalBar);
}
else
{
// Pick the first stat (should be the only one) and get the statId from it.
string statId = statList.Data[0].Id;
HorizontalBarStat horizontalBarStat = (HorizontalBarStat)statList.Data[0];
// Create the stat to update.
HorizontalBarStat newHorizontalBardStat = new HorizontalBarStat();
newHorizontalBardStat.Items = getStockInfo();
newHorizontalBardStat.LastUpdatedDateTime = DateTime.Now;
statsApi.UpdateStat(group.Id, statId, newHorizontalBardStat);
}
Console.WriteLine("Last update at: " + DateTime.Now);
}
private IEnumerable <int> nChooseK(int maxExclusive, int count)
{
StatList <int, bool> choices = new StatList <int, bool>(new IntComparerer(), new NoopCombiner <bool>());
if (count > maxExclusive)
{
count = maxExclusive;
}
for (int i = 0; i < count; i++)
{
int randInt = this.generator.Next(maxExclusive - i);
int index = randInt;
while (true)
{
int smallerCount = choices.CountBeforeKey(index, true);
if (index != randInt + smallerCount)
{
index = randInt + smallerCount;
}
else
{
break;
}
}
choices.Add(index, true);
}
return(choices.Keys);
}
public void Test1()
{
Engine engine = this.MakeEngine(400);
StatList <DateTime, double> efficiencies = this.GetEfficiencies();
this.simulate(engine, efficiencies);
}
private List <Datapoint> getDatapoints(IEnumerable <Activity> activities)
{
StatList <DateTime, int> discoveredCounts = new StatList <DateTime, int>(new DateComparer(), new IntAdder());
foreach (Activity activity in activities)
{
discoveredCounts.Add(activity.DiscoveryDate, 1);
}
DateTime minPossibleDate = TimeProgression.AbsoluteTime.StartDate;
bool isFirst = false;
List <Datapoint> datapoints = new List <Datapoint>();
// compute cumulative values
foreach (DateTime when in discoveredCounts.Keys)
{
if (isFirst)
{
isFirst = false;
}
TimeSpan duration = when.Subtract(minPossibleDate);
int cumulative = discoveredCounts.CombineBeforeKey(when, true);
datapoints.Add(new Datapoint(duration.TotalSeconds, cumulative, 1));
}
return(datapoints);
}
public void AddPointToStat(GameObject point_Number)
{
string name = EventSystem.current.currentSelectedGameObject.name;
name = name.Replace("_Button", "");
foreach (var stat in attributes)
{
if (stat.type.ToString() == name)
{
StatList statList = GameManager.Instance.uiManager.StatsCanvasGO.GetComponent <StatList>();
stat.value.BaseValue += 1;
if (stat.type == StatTypes.Stamina)
{
GetComponent <Health>().addHealthPlayer(BONUS_HEATH_PER_POINT);
GameObject.Find("EnergyGlobe").GetComponentInChildren <EnergyGlobeControl>().addEnergyPlayer((int)BONUS_HEATH_PER_POINT);
}
statList.lvlup_Points -= 1;
point_Number.GetComponent <Text>().text = statList.lvlup_Points.ToString();
if (statList.lvlup_Points <= 0)
{
statList.LevelUpStatButtons.SetActive(false);
statList.bLvlupactive = false;
}
StatTextUpdate();
}
}
}
public SampleItem()
{
foreach (var stat in Helpers.List)
{
StatList.Add(new AdditiveStatClass((float)_rng.NextDouble()));
}
}
public void AddTotalSaleValue()
{
StatList.Clear();
StatList.Add(new Statistics(SellingTotal(), "Indkomst"));
StatList.Add(new Statistics(BuyingTotal(), "Udgifter"));
StatList.Add(new Statistics((SellingTotal() - BuyingTotal()), "Profit"));
StatList.Add(new Statistics(0, ""));
}
public T GetValue <T>(StatType type)
{
if (StatList.TryGetValue(type, out object value))
{
return((T)value);
}
else
{
return(default);
private StatList ApplyPipeline()
{
StatList statList = GetCurrentStatList();
foreach (IPipeableEffect effect in effectPipeline)
{
effect.Pipe(statList);
}
return(statList);
}
protected int Level = 1; //TODO Make own class for this
protected Fighter()
{
resistances = new Elemental_Attributes();
FighterName = "Gladiator";
maxHealth = 100;
currentHealth = 100;
maxManaPoints = 20;
currentManaPoints = 20;
statList = new StatList();
}
public void updateStat(StatList e, int value, bool isstun)
{
switch (e)
{
case StatList.bravery: updateBraveryStat(value); this.isStun = isstun; break;
case StatList.encouragement: updateEncouragementStat(value); this.isStunE = isstun; break;
case StatList.trust:; break;
}
}
private StatList <DateTime, double> GetEfficiencies()
{
// Suppose efficiency[day[i]] = i
StatList <DateTime, double> efficiencies = new StatList <DateTime, double>(new DateComparer(), new FloatAdder());
for (int i = 1; i < 365; i++)
{
efficiencies.Add(new DateTime(2000, 1, 1).AddDays(i), Math.Pow(1.01, i));
}
return(efficiencies);
}
private static void GetStatNames(TextAsset cfg)
{
if (cfg != null)
{
mStats = StatList.FromJSON(cfg.text);
if (mStats == null)
{
mStats = new List <StatData>();
}
}
}
public void LevelSystem_OnLevelChanged(object sender, System.EventArgs e)
{
SetLevelNumber(levelSystem.GetLevelNumber());
GameManager.Instance.player.level = levelSystem.GetLevelNumber();
StatList statlist = GameManager.Instance.uiManager.StatsCanvasGO.GetComponent <StatList>();
statlist.ToggleLevelUp(true);
GameManager.Instance.player.GetComponent <Health>().addHealthPlayer(GameManager.Instance.player.BONUS_HEATH_PER_POINT);
GameObject.Find("EnergyGlobe").GetComponentInChildren <EnergyGlobeControl>().addEnergyPlayer((int)GameManager.Instance.player.BONUS_HEATH_PER_POINT);
GameManager.Instance.player.StatTextUpdate();
}
public void InitializeStats()
{
StatList statList = GameManager.Instance.uiManager.StatsCanvasGO.GetComponent <StatList>();
UILife = statList.getNumberGameObject("Health");
UIMana = statList.getNumberGameObject("Ressources");
for (int i = 0; i < attributes.Length; i++)
{
attributes[i].SetParent(this);
}
StatTextUpdate();
}
public void SetValue(StatType type, object value)
{
if (!StatList.ContainsKey(type))
{
StatList.Add(type, value);
}
else
{
StatList[type] = value;
}
RaiseEvent();
}
private void InitialiseStatList()
{
try
{
_stats = (StatList)AssetDatabase.LoadAssetAtPath("Assets/Stats/Common Stat List.asset", typeof(StatList));
} catch (UnityException e)
{
Debug.Log(e);
return;
}
UpdateDictionary(requirements);
UpdateDictionary(rewards);
}
public LinearProgression Smoothed(TimeSpan windowSize)
{
// make a List of the cumulative time spent
DateTime minDate = this.Owner.DiscoveryDate;
IEnumerable <ListItemStats <DateTime, ParticipationAndSummary> > items = this.searchHelper.AllItems;
LinearProgression cumulatives = new LinearProgression();
// first sort the starts and ends
StatList <DateTime, double> deltaIntensities = new StatList <DateTime, double>(new DateComparer(), new FloatAdder());
foreach (ListItemStats <DateTime, ParticipationAndSummary> item in items)
{
deltaIntensities.Add(item.Value.Participation.StartDate, 1);
deltaIntensities.Add(item.Value.Participation.EndDate, -1);
}
if (deltaIntensities.NumItems < 1)
{
return(new LinearProgression());
}
DateTime maxDate = deltaIntensities.GetLastValue().Key;
// now add up the (possibly overlapping) values
double intensity = 0;
DateTime prevDate = minDate;
double sum = 0;
foreach (ListItemStats <DateTime, double> deltaIntensity in deltaIntensities.AllItems)
{
double duration = deltaIntensity.Key.Subtract(prevDate).TotalSeconds;
sum += intensity * duration;
intensity += deltaIntensity.Value;
cumulatives.Add(deltaIntensity.Key, sum);
prevDate = deltaIntensity.Key;
}
// find what's in the sliding window by subtracting the cumulative from the shifted cumulative
LinearProgression shiftedCumulatives = cumulatives.Shifted(windowSize);
if (windowSize.TotalSeconds > 0)
{
cumulatives.Add(maxDate.Add(windowSize), sum);
LinearProgression result = cumulatives.Minus(shiftedCumulatives);
return(result);
}
else
{
shiftedCumulatives.Add(maxDate, sum);
LinearProgression result = shiftedCumulatives.Minus(cumulatives);
return(result);
}
}
private void simulate(Engine engine, StatList <DateTime, double> efficiencies)
{
for (int i = 0; i < efficiencies.NumItems; i++)
{
DateTime when = efficiencies.GetValueAtIndex(i).Key;
if (engine.Test_ChooseExperimentOption().HasError)
{
break; // not enough data to run more experiments
}
// make a list of experiment options
List <SuggestedMetric> experimentOptions = engine.ChooseExperimentOptions(when);
// Skip setting difficulties for now.
// Task difficulties could be set via something like:
// experimentOptions[0].PlannedMetric.DifficultyEstimate.NumEasiers++;
// Make an experiment
ExperimentSuggestion suggestion = engine.Experiment(experimentOptions, when);
if (!suggestion.Experiment.Started)
{
engine.PutExperimentInMemory(suggestion.Experiment);
}
// Do the suggestion
double efficiency = efficiencies.FindPreviousItem(when, false).Value;
double duration = 1.0 / efficiency;
ActivityDescriptor activityDescriptor = suggestion.ActivitySuggestion.ActivityDescriptor;
Activity activity = engine.ActivityDatabase.ResolveDescriptor(activityDescriptor);
Metric metric = activity.DefaultMetric;
Participation participation = new Participation(when, when.AddDays(duration), activityDescriptor);
participation.EffectivenessMeasurement = new CompletionEfficiencyMeasurement(metric, true, 0);
participation.EffectivenessMeasurement.DismissedActivity = true;
RelativeEfficiencyMeasurement measurement = engine.Make_CompletionEfficiencyMeasurement(participation);
participation.EffectivenessMeasurement.Computation = measurement;
engine.PutParticipationInMemory(participation);
}
engine.FullUpdate();
DateTime lastDay = efficiencies.GetLastValue().Key;
for (int i = 1; i < efficiencies.NumItems; i++)
{
ListItemStats <DateTime, double> item = efficiencies.GetValueAtIndex(i - 1);
ListItemStats <DateTime, double> nextItem = efficiencies.GetValueAtIndex(i);
Distribution estimatedEfficiency = engine.EfficiencySummarizer.GetValueDistributionForDates(item.Key, nextItem.Key, true, false);
System.Diagnostics.Debug.WriteLine("True efficiency at " + item.Key + " = " + item.Value + ", estimated efficiency = " + estimatedEfficiency.Mean);
}
System.Diagnostics.Debug.WriteLine("Test done");
}
public void StatTextUpdate()
{
StatList statList = GameManager.Instance.uiManager.StatsCanvasGO.GetComponent <StatList>();
foreach (var child in statList.GetComponentsInChildren <StatNumberUpdate>())
{
foreach (var stat in attributes)
{
if (child.type == stat.type)
{
child.updateStatefield(stat.value.BaseValue, stat.value.ModifiedValue);
}
}
}
UILife.GetComponent <Text>().text = this.GetComponent <Health>().MaxHealthPoints.ToString();
UIMana.GetComponent <Text>().text = GameObject.Find("EnergyGlobe").GetComponentInChildren <EnergyGlobeControl>().maxEnergy.ToString();
}
public void ExtractOriginals()
{
foreach (var tile in TileCodes)
{
var path = $@"D:\Data\DEM\NZ\{tile}.asc";
var file = NzReader.Read(path);
Assert.AreEqual(8192, file.Columns);
Assert.AreEqual(8192, file.Rows);
Assert.AreEqual(-999, file.NoDataValue);
var list = new StatList();
var arr = file.Data;
foreach (var index in arr.Indices())
{
var value = arr[index];
if (value == file.NoDataValue)
{
foreach (var neighbour in arr.Neighbours(index))
{
var neighbourValue = arr[neighbour];
if (neighbourValue != file.NoDataValue)
{
list.Add(neighbourValue);
}
}
}
}
if (list.Any())
{
file.ReplaceNoDataValue(list.Average());
}
var outputPath = Path.Combine(OutputPath, $"{tile}.npy");
np.save(outputPath, file.Data);
using (var stream = File.Create(Path.Combine(OutputPath, $"{tile}.png")))
{
new ImageConverter().ToPng(file.Data, stream, HeightToGrayscale.FullRange8(file.Data));
}
}
}
// Find the top few matching activities
public List <Activity> FindBestMatches(ActivityDescriptor descriptor, int count)
{
if (count < 1)
{
return(new List <Activity>(0));
}
if (count == 1)
{
Activity best = this.ResolveDescriptor(descriptor);
if (best != null)
{
return new List <Activity>()
{
best
}
}
;
return(new List <Activity>()
{
});
}
IEnumerable <Activity> activities = this.GetCandidateMatches(descriptor);
StatList <double, Activity> sortedItems = new StatList <double, Activity>(new ReverseDoubleComparer(), new NoopCombiner <Activity>());
foreach (Activity activity in activities)
{
double quality = this.MatchQuality(descriptor, activity);
if (quality > 0)
{
sortedItems.Add(quality, activity);
}
}
count = Math.Min(count, sortedItems.NumItems);
List <Activity> top = new List <Activity>(count);
for (int i = 0; i < count; i++)
{
top.Add(sortedItems.GetValueAtIndex(i).Value);
}
return(top);
}
public LinearProgression Minus(LinearProgression other)
{
StatList <DateTime, double> union = this.searchHelper.Union(other.searchHelper);
LinearProgression diff = new LinearProgression();
DateTime prevDate = new DateTime();
foreach (ListItemStats <DateTime, double> item in union.AllItems)
{
DateTime when = item.Key;
if (when == prevDate)
{
// skip duplicates
continue;
}
// this relies on this.searchHelper.optimizeForLocality = true and other.searchHelper.optimizeForLocality = true for it to be fast
double ourValue, theirValue;
ourValue = this.GetValueAt(when, false).Value.Mean;
theirValue = other.GetValueAt(when, false).Value.Mean;
double value = ourValue - theirValue;
diff.Add(item.Key, value);
}
return(diff);
}
public void LoadFile()
{
foreach (var tile in new[] { "BJ", "UB", "UC" })
{
var path = $@"D:\Data\DEM\NZ\{tile}.asc";
var file = NzReader.Read(path);
Assert.AreEqual(8192, file.Columns);
Assert.AreEqual(8192, file.Rows);
Assert.AreEqual(-999, file.NoDataValue);
var list = new StatList();
var arr = file.Data;
foreach (var index in arr.Indices())
{
var value = arr[index];
if (value == file.NoDataValue)
{
foreach (var neighbour in arr.Neighbours(index))
{
var neighbourValue = arr[neighbour];
if (neighbourValue != file.NoDataValue)
{
list.Add(neighbourValue);
}
}
}
}
file.ReplaceNoDataValue(list.Average());
using (var stream = File.Create($@"D:\Data\DEM\NZ\{tile}.png"))
{
new ImageConverter().ToPng(file.Data, stream, HeightToGrayscale.FullRange8(file.Data));
}
}
}
public override void Finish()
{
this.log("Grouping participations by category");
foreach (KeyValuePair <String, Dictionary <Activity, int> > entry in this.feedbacks)
{
this.log("");
this.log("Instances of feedback " + entry.Key + ":");
// sort
StatList <int, Activity> sorted = new StatList <int, Activity>(new IntComparerer(), null);
foreach (KeyValuePair <Activity, int> e2 in entry.Value)
{
sorted.Add(e2.Value, e2.Key);
}
// Find the activities that were done often enough to be noteworthy
int max = sorted.GetLastValue().Key;
int cumulative = 0;
int minInterestingKey = 0;
List <ListItemStats <int, Activity> > interesting = new List <ListItemStats <int, Activity> >();
foreach (ListItemStats <int, Activity> stats in sorted.AllItems)
{
cumulative += stats.Key;
// Some activities were only done a very small number of times. We skip displaying those because they might be distracting
if (cumulative >= max)
{
interesting.Add(stats);
}
}
// sort the more commonly done activities to the top
interesting.Reverse();
foreach (ListItemStats <int, Activity> stats in interesting)
{
this.log(stats.Value + " : " + stats.Key + " times");
}
}
base.Finish();
}
public void Change()
{
StatList.ForEach(x => x.Value += x.ValueIncrease);
}
/// <summary>
/// Executes a Task 'cast'
/// </summary>
/// <param name="Task"></param>
protected void DoCast(BotTaskCast Task)
{
SpellObject spellObject = null;
StatList spellStat = null;
string sureTarget = Task.Target;
string sureWhere = Task.Where;
// handle selftargeting
if (sureTarget.ToLower().Equals(SpellBotConfig.XMLVALUE_SELF))
{
if (Data.AvatarObject == null)
{
Log("WARN", "Cant execute task 'cast' " + Task.Name + ". Technical interruption changed the target.");
return;
}
sureTarget = Data.AvatarObject.Name.ToLower();
sureWhere = SpellBotConfig.XMLVALUE_ROOM;
}
// try to get the spell from the spells
spellObject = Data.SpellObjects.GetItemByName(Task.Name, false);
// try to get stat for % value
if (spellObject != null)
{
spellStat = Data.AvatarSpells.GetItemByID(spellObject.ID);
}
// one not found
if (spellObject == null || spellStat == null)
{
// log
Log("WARN", "Cant execute task 'cast'. Spell " + Task.Name + " found.");
return;
}
// handle spells above cap
if (spellStat.SkillPoints >= Task.Cap)
{
if (Task.OnMax.ToLower() == SpellBotConfig.XMLVALUE_QUIT)
{
// log
Log("BOT", "Quitting.. spell " + spellObject.Name + " reached 99%.");
// prepare quit
IsRunning = false;
return;
}
else if (Task.OnMax.ToLower() == SpellBotConfig.XMLVALUE_SKIP)
{
// log
Log("BOT", "Skipped task 'cast' " + spellObject.Name + " (99%)");
return;
}
}
// spell doesn't need a target
if (spellObject.TargetsCount == 0)
{
// send castreq
SendReqCastMessage(spellObject);
// log
Log("BOT", "Executed task 'cast' " + spellObject.Name);
}
// speed needs a target
else if (spellObject.TargetsCount > 0)
{
// marked to cast on roomobject
if (sureWhere == SpellBotConfig.XMLVALUE_ROOM)
{
// try to get the target
RoomObject roomObject =
Data.RoomObjects.GetItemByName(sureTarget, false);
// target not found
if (roomObject == null)
{
// log
Log("WARN", "Can't execute task 'cast'. RoomObject " + sureTarget + " not found.");
return;
}
// send castreq
ReqCastMessage reqCastMsg = new ReqCastMessage(
spellObject.ID, new ObjectID[] { new ObjectID(roomObject.ID) });
SendGameMessage(reqCastMsg);
// log
Log("BOT", "Executed task 'cast' " + spellObject.Name);
}
// cast on inventory item
else if (sureWhere == SpellBotConfig.XMLVALUE_INVENTORY)
{
// try to get the target
InventoryObject inventoryObject =
Data.InventoryObjects.GetItemByName(sureTarget, false);
// target not found
if (inventoryObject == null)
{
// log
Log("WARN", "Can't execute task 'cast'. Item " + sureTarget + " not found.");
return;
}
// send castreq
ReqCastMessage reqCastMsg = new ReqCastMessage(
spellObject.ID, new ObjectID[] { new ObjectID(inventoryObject.ID) });
SendGameMessage(reqCastMsg);
// log
Log("BOT", "Executed task 'cast' " + spellObject.Name);
}
else
{
// log
Log("WARN", "Can't execute task 'cast'. " + sureWhere + " is unknown 'where'.");
}
}
}
public Participation_BinComparison_View(Engine engine, IEnumerable <Activity> activitiesToPredictFrom, Activity activityToPredict, TimeSpan windowSize)
{
DateTime now = DateTime.Now;
engine.EnsureRatingsAreAssociated();
LinearProgression progressionToPredict = activityToPredict.ParticipationsSmoothed((new TimeSpan()).Subtract(windowSize));
StatList <NeighborhoodInterpolation, Activity> results = new StatList <NeighborhoodInterpolation, Activity>(new Neighborhood_MiddleOutputMean_Comparer(), new NoopCombiner <Activity>());
foreach (Activity activity in activitiesToPredictFrom)
{
System.Diagnostics.Debug.WriteLine("comparing " + activity + " and " + activityToPredict.Name);
List <Datapoint> datapoints = activity.compareParticipations(windowSize, progressionToPredict, now.Subtract(windowSize));
// put data into the interpolator
FloatRange inputRange = new FloatRange(0, true, windowSize.TotalSeconds, true);
AdaptiveLinearInterpolator <Distribution> interpolator = new AdaptiveLinearInterpolator <Distribution>(new HyperBox <Distribution>(new FloatRange[] { inputRange }), new DistributionAdder());
foreach (Datapoint datapoint in datapoints)
{
interpolator.AddDatapoint(new AdaptiveInterpolation.Datapoint <Distribution>(datapoint.Input, Distribution.MakeDistribution(datapoint.Output, 0, datapoint.Weight)));
}
// ask the interpolator which input has the highest average output
IEnumerable <double[]> representativePoints = interpolator.FindRepresentativePoints();
if (representativePoints.Count() > 0)
{
double[] bestInput = new double[1];
AdaptiveInterpolation.Distribution bestOutput = null;
foreach (double[] coordinates in representativePoints)
{
AdaptiveInterpolation.Distribution output = interpolator.Interpolate(coordinates);
if (bestOutput == null || output.Mean > bestOutput.Mean)
{
bestInput = coordinates;
bestOutput = output;
}
}
// Check nearby regions for their outputs too
HyperBox <Distribution> inputNeighborhood = interpolator.FindNeighborhoodCoordinates(bestInput);
double inputNeighborhoodWidth = inputNeighborhood.Coordinates[0].Width;
double lowerInput = Math.Max(inputNeighborhood.Coordinates[0].LowCoordinate - inputNeighborhoodWidth, inputRange.LowCoordinate);
double higherInput = Math.Min(inputNeighborhood.Coordinates[0].HighCoordinate + inputNeighborhoodWidth, inputRange.HighCoordinate);
NeighborhoodInterpolation result = new NeighborhoodInterpolation();
result.Middle = new Interpolation(bestInput[0], bestOutput);
result.Left = new Interpolation(lowerInput, interpolator.Interpolate(new double[] { lowerInput }));
result.Right = new Interpolation(higherInput, interpolator.Interpolate(new double[] { higherInput }));
results.Add(result, activity);
}
}
IEnumerable <ListItemStats <NeighborhoodInterpolation, Activity> > resultList = results.AllItems;
if (resultList.Count() <= 0)
{
// This shouldn't be able to happen unless we disallow predicting the activity from itself
this.SubLayout = new TextblockLayout("No activities found!");
}
else
{
int numWindowDays = (int)windowSize.TotalDays;
GridLayout_Builder layoutBuilder = new Vertical_GridLayout_Builder().Uniform();
if (resultList.Count() > 1)
{
string title = "Activities that when done most strongly predict future participations in " + activityToPredict.Name;
layoutBuilder.AddLayout(new TextblockLayout(title));
}
else
{
string title = "Predicting future participations in " + activityToPredict.Name;
layoutBuilder.AddLayout(new TextblockLayout(title));
}
string explanation = "A block of the form a->{b,c,d} means that when you have spent an average of <a> min/day on the given activity over the last " + numWindowDays + " days, " +
"you have spent on average <c> min/day on " + activityToPredict.Name + " over the next " + numWindowDays + " days, with <b> and <d> marking -1 and +1 standard deviation, respectively";
layoutBuilder.AddLayout(new TextblockLayout(explanation));
int count = 0;
foreach (ListItemStats <NeighborhoodInterpolation, Activity> result in resultList.Reverse())
{
count++;
if (count > 3)
{
break;
}
Activity activity = result.Value;
NeighborhoodInterpolation neighborhood = result.Key;
layoutBuilder.AddLayout(new TextblockLayout("After " + activity.Name + ":"));
foreach (Interpolation interpolation in neighborhood.Items)
{
double inputSecondsPerWindow = interpolation.Input;
double inputMinutesPerDay = inputSecondsPerWindow / windowSize.TotalDays / 60;
double avgOutputSecondsPerWindow = interpolation.Output.Mean;
double avgOutputMinutesPerDay = avgOutputSecondsPerWindow / windowSize.TotalDays / 60;
double stddevOutputSecondsPerWindow = interpolation.Output.StdDev;
double stddevOutputMinutesPerDay = stddevOutputSecondsPerWindow / windowSize.TotalDays / 60;
string itemLine = Math.Round(inputMinutesPerDay, 1) + " -> {" +
Math.Round((avgOutputMinutesPerDay - stddevOutputMinutesPerDay), 1) + "," +
Math.Round(avgOutputMinutesPerDay, 1) + "," +
Math.Round((avgOutputMinutesPerDay + stddevOutputMinutesPerDay), 1) + "}";
layoutBuilder.AddLayout(new TextblockLayout(itemLine));
}
}
this.SubLayout = layoutBuilder.Build();
}
}