private void LoadSelectedForecasts()
{
try
{
var collection = WeatherDataSelecter.GetGroupedByParameterForecastPlots(new ForecastViewerRequest(
_settings.CurrentStation,
SelectedDate.AddHours(SelectedTime == allDayString ? 0 : int.Parse(SelectedTime)),
GivenTimeKind,
SelectedTime == allDayString ? RequestTimeDeterminateness.AllDay : RequestTimeDeterminateness.DateAndHour,
SourceParamPicker.CheckedSources,
SourceParamPicker.CheckedParameters.Select(p => p.ShortTypeName)));
foreach (var plot in Plots)
{
plot.Dispose();
}
Plots.Clear();
foreach (var parameter in collection.Keys)
{
var plot = new PlotViewModel(collection[parameter]);
Plots.Add(plot);
}
}
catch (Exception e)
{
System.Windows.MessageBox.Show(e.Message);
}
}
public ViewModel()
{
_plot = new Plots();
Cosinus cosinus = new Cosinus();
cosinus.PropertyChanged += (s, e) => { RaisePropertyChanged("Amplitude_Cos"); };
MyFunction.Add(cosinus);
Sinus sinus = new Sinus();
sinus.PropertyChanged += (s, e) => { RaisePropertyChanged("Amplitude_Sin"); };
MyFunction.Add(sinus);
Tangens tangens = new Tangens();
tangens.PropertyChanged += (s, e) => { RaisePropertyChanged("Amplitude_Tan"); };
MyFunction.Add(tangens);
Cotangens cotangens = new Cotangens();
cotangens.PropertyChanged += (s, e) => { RaisePropertyChanged("Amplitude_Cot"); };
MyFunction.Add(cotangens);
plotModel = new PlotModel();
plotModel = _plot._PlotModel;
}
private void LoadSelected()
{
try
{
var plotDatas = WeatherDataSelecter.GetGroupedByParameterAccuracyPlots(new AccuracyRequest(
_settings.CurrentStation,
SelectedDate,
SelectedComparisonMode,
SourceParamPicker.CheckedSources,
SourceParamPicker.CheckedParameters.Select(p => p.ShortTypeName)));
foreach (var plot in Plots)
{
plot.Dispose();
}
Plots.Clear();
AccuracyPlots.Clear();
foreach (var parameter in plotDatas.Keys)
{
var plot = new PlotViewModel(plotDatas[parameter]);
var acPlot = new AccuracyPlotViewModel(AccuracyMeter.CalcAccuracy(plotDatas[parameter], StatisticMethods.All));
Plots.Add(plot);
AccuracyPlots.Add(acPlot);
}
}
catch (Exception e)
{
System.Windows.MessageBox.Show(e.Message);
}
}
public static void OnLoad()
{
foreach (RenderableBuilding b in Buildings.Values)
{
b.Dispose();
}
Buildings.Clear();
foreach (RenderablePlot p in Plots.Values)
{
p.Dispose();
}
Plots.Clear();
foreach (Plot p in Haswell.Controller.City.Grid)
{
if (p.Building != null)
{
if (p.Building is Road)
{
Buildings[p.Building] = new RenderableRoad((Road)p.Building);
}
else
{
Buildings[p.Building] = new RenderableBuilding(p.Building);
}
}
Plots[p] = new RenderablePlot(p);
Plots[p].Create(SceneMgr, cityNode);
}
GameConsole.ActiveInstance.WriteLine("Game Loaded.");
GuiMgr.AddInfoPopup("Game Loaded.");
}
public string Plot(IPlotParameters plotParameters)
{
var parameters = (SpectralPlotParameters)plotParameters;
var xyPoints = new List <Point>();
foreach (var wv in parameters.Wavelengths)
{
switch (parameters.SpectralPlotType)
{
case SpectralPlotType.Mua:
xyPoints.Add(new Point(wv, parameters.Tissue.GetMua(wv)));
break;
case SpectralPlotType.Musp:
xyPoints.Add(new Point(wv, parameters.Tissue.GetMusp(wv)));
break;
}
}
var plotData = new PlotData {
Data = xyPoints, Label = parameters.TissueType
};
var plot = new Plots {
Id = "Spectral" + parameters.SpectralPlotType,
PlotList = new List <PlotDataJson>()
};
plot.PlotList.Add(new PlotDataJson {
Data = plotData.Data.Select(item => new List <double> {
item.X, item.Y
}).ToList(),
Label = parameters.TissueType + " " + parameters.PlotName
});
return(JsonConvert.SerializeObject(plot));
}
public void Save(XmlTextWriter writer)
{
writer.WriteElementString("plots", Plots.ToString());
writer.WriteElementString("travelTime", TravelTime.ToString());
writer.WriteElementString("foodRate", FoodRate.ToString());
writer.WriteElementString("gameSeconds", GameSeconds.ToString());
if (PlotProbabilities.Count > 0)
{
writer.WriteStartElement("plot-probabilities");
foreach (var probabilitySet in PlotProbabilities)
{
writer.WriteElementString("probability-set", CLIObject.ToArrayString(probabilitySet));
}
// plot-probabilities
writer.WriteEndElement();
}
if (ProbabilityShiftTimes.Count > 0)
{
writer.WriteElementString("probability-shift-times", CLIObject.ToArrayString(ProbabilityShiftTimes));
}
}
public void UpdateReportPlots()
{
double maxTime = double.MinValue;
double minTime = double.MaxValue;
double maxValue = double.MinValue;
double minValue = double.MaxValue;
var plotModel = new PlotModel();
var plots = Plots.Where(p => p.Selected);
foreach (var _timePlot in plots)
{
var lineSeries = new LineSeries();
var plotColor = _timePlot.PointColor;
lineSeries.Color = OxyColor.FromArgb(plotColor.A, plotColor.R, plotColor.G, plotColor.B);
lineSeries.MarkerFill = OxyColor.FromArgb(plotColor.A, plotColor.R, plotColor.G, plotColor.B);
lineSeries.MarkerType = MarkerType.None;
lineSeries.StrokeThickness = 1;
lineSeries.DataFieldX = "Time";
lineSeries.DataFieldY = "Value";
var orderedPoints = _timePlot.PlotPoints
.GroupBy(point => point.Time)
.Select(group => group.First())
.OrderBy(point => point.Time)
.ToList();
foreach (var _point in orderedPoints)
{
var time = _point.Time.TimeOfDay.TotalSeconds;
var value = Convert.ToDouble(_point.Value);
maxTime = maxTime < time ? time : maxTime;
minTime = time < minTime ? time : minTime;
maxValue = maxValue < value ? value : maxValue;
minValue = value < minValue ? value : minValue;
lineSeries.Points.Add(new DataPoint {
X = time, Y = value
});
}
plotModel.Series.Add(lineSeries);
}
var dateTimeAxis = new TimeSpanAxis(AxisPosition.Bottom, minTime, maxTime, "Time");
dateTimeAxis.SetColors();
dateTimeAxis.AbsoluteMaximum = maxTime;
dateTimeAxis.AbsoluteMinimum = minTime;
plotModel.Axes.Add(dateTimeAxis);
var linearAxis = new LinearAxis(AxisPosition.Left, minValue, maxValue, "Value");
linearAxis.SetColors();
linearAxis.AbsoluteMaximum = maxValue;
linearAxis.AbsoluteMinimum = minValue;
plotModel.Axes.Add(linearAxis);
plotModel.SetColors();
ReportPlots = plotModel;
}
public IEnumerable <PlotsFeatures.Properties> GetProperties()
{
using (Plots collections = Plots.GetPlots())
{
return(collections.Proprties);
}
}
internal bool Remove(GamePlot gamePlot)
{
var result = Plots.Remove(gamePlot);
GamePlots = Plots.ToLookup(p => p.GameObject, p => p.Plot);
return(result);
}
internal int Remove(Plot plot)
{
var result = Plots.RemoveAll(p => p.Plot == plot);
GamePlots = Plots.ToLookup(p => p.GameObject, p => p.Plot);
return(result);
}
protected override void OnStateChange()
{
if (State == State.SetDefaults)
{
Description = @"Buy when Fast EMA > Med EMA > Slow EMA, sell when Price < Prev-ATR(10)";
Name = "EMACrosswithSL";
Calculate = Calculate.OnBarClose;
EntriesPerDirection = 1;
EntryHandling = EntryHandling.AllEntries;
IsExitOnSessionCloseStrategy = true;
ExitOnSessionCloseSeconds = 30;
IsFillLimitOnTouch = false;
MaximumBarsLookBack = MaximumBarsLookBack.TwoHundredFiftySix;
OrderFillResolution = OrderFillResolution.Standard;
Slippage = 0;
StartBehavior = StartBehavior.WaitUntilFlat;
TimeInForce = TimeInForce.Gtc;
TraceOrders = true;
RealtimeErrorHandling = RealtimeErrorHandling.StopCancelClose;
StopTargetHandling = StopTargetHandling.PerEntryExecution;
BarsRequiredToTrade = 20;
// Disable this property for performance gains in Strategy Analyzer optimizations
// See the Help Guide for additional information
IsInstantiatedOnEachOptimizationIteration = true;
FastEma = 5;
MedEma = 20;
SlowEma = 50;
ATRPeriod = 10;
ATRMultipleSL = 2;
ATRMultipleLimit = 0.5;
InitialCapital = 100000;
AddLine(Brushes.Blue, 1, "ATR");
AddPlot(Brushes.LimeGreen, "FastEmaLine");
AddPlot(Brushes.Orange, "MedEmaLine");
AddPlot(Brushes.Salmon, "SlowEmaLine");
PrintTo = PrintTo.OutputTab2;
Print("set default");
}
else if (State == State.Configure)
{
//AddDataSeries("ADANIPORTS", Data.BarsPeriodType.Day, 1, Data.MarketDataType.Last);
_atr = ATR(this.ATRPeriod);
_atr.Lines = Lines.Where(l => l.Name == "ATR").ToArray();
_fast = EMA(FastEma);
_fast.Plots = Plots.Where(p => p.Name == "FastEmaLine").ToArray();
_med = EMA(MedEma);
_med.Plots = Plots.Where(p => p.Name == "MedEmaLine").ToArray();
_slow = EMA(SlowEma);
_slow.Plots = Plots.Where(p => p.Name == "SlowEmaLine").ToArray();
base.AddChartIndicator(_atr);
base.AddChartIndicator(_fast);
base.AddChartIndicator(_med);
base.AddChartIndicator(_slow);
Print("configured");
}
}
private async Task PlotViewModel_ClosedAsync(object sender, ViewModelClosedEventArgs e)
{
PlotViewModel pvm = e.ViewModel as PlotViewModel;
if (pvm == null)
{
return;
}
Plots.Remove(pvm.PlotModel);
}
internal void Add(Plot plot)
{
Plots.Add(new GamePlot
{
GameObject = plot.Target,
Plot = plot
});
GamePlots = Plots.ToLookup(p => p.GameObject, p => p.Plot);
}
/// <summary>
/// プロットを設定
/// </summary>
/// <param name="user"></param>
/// <param name="plots"></param>
public void SetPlot(UserOrNpcInfo user, List <int> plots)
{
if (Plots.Keys.Contains(user))
{
Plots[user] = plots;
}
else
{
Plots.Add(user, plots);
}
}
public async Task AddPlotAndSetIdAsync()
{
var repository = GetRepository();
var plots = new Plots();
await repository.AddAsync(plots);
var newPlots = (await repository.ListAllAsync()).FirstOrDefault();
Assert.Equal(plots, newPlots);
Assert.NotEqual(Guid.Empty, newPlots.Id);
}
public async Task <IActionResult> Create([FromBody] Plots plots)
{
if (plots == null)
{
return(BadRequest());
}
await _plotsRepository.AddAsync(plots);
return(CreatedAtRoute("GetPlot", new { id = plots.Id }, plots));
}
public void AddPlotAndSetId()
{
var repository = GetRepository();
var plots = new Plots();
repository.Add(plots);
var newPlots = repository.ListAll().FirstOrDefault();
Assert.Equal(plots, newPlots);
Assert.NotEqual(Guid.Empty, newPlots.Id);
}
public void SinchroRun()
{
Console.WriteLine(DateTime.Now.ToString("HH:mm:ss tt"));
using (Plots collections = Plots.GetPlots())
{
var props = collections.Proprties;
var end = table.Lenght;
var it = 1;
Console.Write("Чтение данных: [");
while (it < end)
{
mapInfo.Do(@"Fetch Rec " + it + @" From " + table.Name);
var doc = mapInfo.Eval(table.Name + @".VRI_DOC");
var cadNum = mapInfo.Eval(table.Name + @".CAD_NUM");
var areaAsString = mapInfo.Eval(@"Int( Area( " + table.Name + @".Obj, ""sq m"") )");
var area = Convert.ToInt32(areaAsString);
var lo = mapInfo.Eval(table.Name + @".lo_lvl");
var lo_lvl = (lo == "true") ? true : false;
var mid = mapInfo.Eval(table.Name + @".mid_lvl");
var mid_lvl = (mid == "true") ? true : false;
var hi = mapInfo.Eval(table.Name + @".hi_lvl");
var hi_lvl = (hi == "true") ? true : false;
var klass = mapInfo.Eval(table.Name + @".VRI_KLASSI");
if (doc.Length == 254)
{
doc = props.FirstOrDefault(p => p.CadNum.Equals(cadNum)).VriDoc;
}
var inputData = new InputData(klass, area, "", lo_lvl, mid_lvl, hi_lvl, doc);
var factory = new Factory(inputData);
factory.Execute();
var rowid = it.ToString();
mapInfo.Do(@"Update " + table.Name + @" Set VRI_List = """ + factory.outputData.VRI_List + @""" Where RowID = " + rowid);
mapInfo.Do(@"Update " + table.Name + @" Set VRI_Sorted = """ + factory.outputData.VRI_List + @""" Where RowID = " + rowid);
mapInfo.Do(@"Update " + table.Name + @" Set Matches = """ + factory.outputData.Matches + @""" Where RowID = " + rowid);
mapInfo.Do(@"Update " + table.Name + @" Set fs_tip = """ + factory.outputData.Type.ToString() + @""" Where RowID = " + rowid);
mapInfo.Do(@"Update " + table.Name + @" Set fs_vid = """ + factory.outputData.Kind.ToString() + @""" Where RowID = " + rowid);
it++;
if (it % (table.Lenght / 20) == 0)
{
Console.Write(".");
}
}
}
Console.WriteLine("] OK");
Console.WriteLine(DateTime.Now.ToString("HH:mm:ss tt"));
}
private void DrawEntryAndExit(Point canvasPoint, int slotNumber)
{
if (!(0 <= canvasPoint.Y && canvasPoint.Y <= AvailableHeight))
{
return;
}
var barsPlot = Plots.FirstOrDefault(p => p.Type == PlotType.Candlestick);
if (barsPlot == null)
{
return;
}
var pb = PlotBoundaries[barsPlot];
var i = SlotOffset + slotNumber - pb.Left;
if (i < 0)
{
return;
}
var bar = ((DataSeries <Bar>)barsPlot.DataSeries)[i];
var trade = Trades.FirstOrDefault(t => t.EntryTime.Date == bar.Timestamp);
if (trade == null)
{
return;
}
//var p1 = PointToCanvas(0, trade.Entry, ViewRegion);
//var xBase = slotNumber * ParentChart.SlotPxWidth;
var p1 = PointToCanvas(slotNumber, trade.Entry, ViewRegion);
var xBase = p1.X - ParentChart.SlotPxWidth / 2;
var entryColor = trade.PositionDirection == PositionDirection.Long ? CandleGreen : CandleRed;
EntryArrow = AddPolygon(Brushes.Black, 1, entryColor,
new Point(xBase, p1.Y),
new Point(xBase - 8, p1.Y - 8),
new Point(xBase - 8, p1.Y + 8));
var p2 = PointToCanvas(0, trade.Exit, ViewRegion);
xBase += ParentChart.SlotPxWidth;
var exitColor = trade.PositionDirection == PositionDirection.Short ? CandleGreen : CandleRed;
ExitArrow = AddPolygon(Brushes.Black, 1, exitColor,
new Point(xBase, p2.Y),
new Point(xBase + 8, p2.Y - 8),
new Point(xBase + 8, p2.Y + 8));
}
public IDictionary <string, string> GetArguments()
{
var arguments = new Dictionary <string, string>();
arguments["plots"] = Plots.ToString();
arguments["travel-time"] = TravelTime.ToString();
arguments["food-rate"] = FoodRate.ToString();
arguments["game-duration"] = GameSeconds.ToString();
arguments["plot-probabilities"] = CLIObject.ToMultiArrayString(PlotProbabilities.Cast <IEnumerable <int> >());
arguments["probability-shift-times"] = CLIObject.ToArrayString(ProbabilityShiftTimes);
return(arguments);
}
public async Task DeletePlotsAfterAddingItAsyc()
{
var repository = GetRepository();
var initialName = Guid.NewGuid().ToString();
var plots = new Plots()
{
Name = initialName
};
await repository.AddAsync(plots);
await repository.DeleteAsync(plots);
Assert.DoesNotContain(await repository.ListAllAsync(), i => i.Name == initialName);
}
public void DeletePlotsAfterAddingIt()
{
var repository = GetRepository();
var initialName = Guid.NewGuid().ToString();
var plots = new Plots()
{
Name = initialName
};
repository.Add(plots);
repository.Delete(plots);
Assert.DoesNotContain(repository.ListAll(), i => i.Name == initialName);
}
/// <summary>
/// 构造
/// </summary>
/// <param name="connectionString"></param>
public ApplicationDbContext(string connectionString)
: base(connectionString)
{
Plots = GetCollection <Plot>("Plots");
Metadata = GetCollection <Metadata>("Metadata");
Translations = GetCollection <Translation>("Translations");
Plots.EnsureIndex(o => o.num);
Plots.EnsureIndex(o => o.provider);
Metadata.EnsureIndex(o => o.num);
Metadata.EnsureIndex(o => o.provider);
Metadata.EnsureIndex(o => o.url);
Translations.EnsureIndex(o => o.hash);
Translations.EnsureIndex(o => o.lang);
}
/// <summary>
/// Method to invoke when the NewPlotCommand command is executed.
/// </summary>
private async Task OnNewPlotCommandExecuteAsync()
{
try
{
var plotmodel = new Models.PlotModel();
Plots.Add(plotmodel);
var viewModel = new PlotViewModel(plotmodel);
viewModel.ClosedAsync += PlotViewModel_ClosedAsync;
ServiceLocator.Default.ResolveType <IUIVisualizerService>().Show(viewModel);
}
catch (Exception ex)
{
string errmsg = string.Format("Error creating new plot: {0}", ex.Message);
LogTo.Error(errmsg);
await Shared.Utility.ShowErrorMsgAsync(this, errmsg);
}
}
// Runs the population code for the mod,
// registering all objects and populating
// them
internal static void PopulateMod()
{
// Register extra modules for registration
foreach (Assembly ass in AppDomain.CurrentDomain.GetAssemblies())
{
if (ass.GetName().Name.StartsWith("VikDisk."))
{
RegistryUtils.extraModules.Add(ass);
}
}
// Registers the all game content
Others.RegisterAll();
Identifiables.RegisterAll();
SpawnResources.RegisterAll();
Gadgets.RegisterAll();
Upgrades.RegisterAll();
UIs.RegisterAll();
Plots.RegisterAll();
//GordoRegistry.Setup();
// Adds new commands to the game
Console.RegisterCommand(new DumperCommand());
Console.RegisterCommand(new UnlockAllCommand());
Console.RegisterCommand(new TPCommand());
Console.RegisterCommand(new DebugModeCommand());
if (TESTING)
{
Console.RegisterCommand(new TestModeCommand());
}
// Registers the remaining callback
CallbackHandler.LateSetup();
// Runs fixing methods
GameFixer.FixAtGameLoad();
// Run Injectors
foreach (Injector inject in injectors)
{
inject.PopulateMod();
}
}
public async Task UpdatePlotsAfterAddingItAsync()
{
var repository = GetRepository();
var initialName = Guid.NewGuid().ToString();
var initialOwnerName = Guid.NewGuid().ToString();
var plots = new Plots()
{
Name = initialName,
OwnerName = initialOwnerName
};
await repository.AddAsync(plots);
// detach the plots so we get a different instace
_dbContext.Entry(plots).State = EntityState.Detached;
var newPlots = (await repository.ListAllAsync()).FirstOrDefault();
Assert.NotSame(plots, newPlots);
// We can use AutoFixure to generate random string
// need to check and implement if relevant
var newName = Guid.NewGuid().ToString();
var newOwnerName = Guid.NewGuid().ToString();
newPlots.Name = newName;
newPlots.OwnerName = newOwnerName;
await repository.UpdateAsync(newPlots);
// Detach the newPlots so we get a different instace
_dbContext.Entry(newPlots).State = EntityState.Detached;
var updatedPlots = (await repository.ListAllAsync()).FirstOrDefault();
Assert.NotSame(newPlots, updatedPlots);
Assert.NotEqual(newPlots.Name, updatedPlots.Name);
Assert.NotEqual(newPlots.OwnerName, updatedPlots.OwnerName);
}
public async Task <IActionResult> Update(Guid id, [FromBody] Plots plots)
{
if (plots == null || plots.Id != id)
{
return(BadRequest());
}
var efPlots = await _plotsRepository.GetByIdAsync(id);
if (efPlots == null)
{
return(NotFound());
}
efPlots.Name = plots.Name;
efPlots.OwnerName = plots.OwnerName;
efPlots.OwnerPhoneNumber = plots.OwnerPhoneNumber;
await _plotsRepository.UpdateAsync(efPlots);
return(new NoContentResult());
}
public void GetItemUsingId()
{
var repository = GetRepository();
var initialName = Guid.NewGuid().ToString();
var plots = new Plots()
{
Name = initialName
};
repository.Add(plots);
var initialId = plots.Id;
Assert.NotEqual(Guid.Empty, initialId);
// detach
_dbContext.Entry(plots).State = EntityState.Detached;
var newPlot = repository.GetById(initialId);
Assert.NotNull(newPlot);
Assert.NotSame(plots, newPlot);
Assert.Equal(initialName, newPlot.Name);
}
public void Redraw()
{
double minVal = double.PositiveInfinity;
double maxVal = double.NegativeInfinity;
bool anythingVisible = false;
foreach (var p in Plots)
{
var pb = PlotBoundaries[p];
pb.ClipLeft = Math.Max(SlotOffset, pb.Left);
pb.ClipRight = Math.Min(SlotOffset + SlotsInView - 1, pb.Right);
var ds = p.DataSeries.Elements.ToArray();
for (int i = pb.ClipLeft; i <= pb.ClipRight; i++)
{
var el = ds[i - pb.Left];
if (!double.IsNaN(el.Min))
{
minVal = Math.Min(minVal, el.Min);
}
if (!double.IsNaN(el.Max))
{
maxVal = Math.Max(maxVal, el.Max);
}
if (!double.IsNaN(el.Min) || !double.IsNaN(el.Max))
{
anythingVisible = true;
}
}
}
if (!anythingVisible)
{
minVal = maxVal = 0;
}
GraphCanvas.Children.Clear();
ViewRegion = new Rect(-0.5, minVal, (double)SlotsInView, maxVal - minVal);
if (anythingVisible)
{
var axisInfo = CalcAxisInfo(minVal, maxVal);
AddGridLines(axisInfo);
foreach (var p in Plots)
{
var pb = PlotBoundaries[p];
if (p.Type == PlotType.ValueLine)
{
var path = new Path();
path.Stroke = p.Color;
path.StrokeThickness = Math.Max(1, p.LineThickness);
SetLineStyle(path, p.LineStyle);
var geom = new StreamGeometry();
using (var ctx = geom.Open())
{
var es = ((DataSeries <Value>)p.DataSeries).ToArray();
for (int i = pb.ClipLeft; i < pb.ClipRight; i++)
{
int k = i - pb.Left;
if (i == pb.ClipLeft)
{
ctx.BeginFigure(PointToCanvas(i - SlotOffset, es[k], ViewRegion), false, false);
}
else
{
ctx.LineTo(PointToCanvas(i + 1 - SlotOffset, es[k + 1], ViewRegion), true, true);
}
}
}
geom.Freeze();
path.Data = geom;
GraphCanvas.Children.Add(path);
}
else if (p.Type == PlotType.Bar || p.Type == PlotType.Dash || p.Type == PlotType.Dot || p.Type == PlotType.Circle)
{
var vs = ((DataSeries <Value>)p.DataSeries).ToArray();
for (int i = pb.ClipLeft; i <= pb.ClipRight; i++)
{
int k = i - pb.Left;
var val = vs[k].Val;
if (double.IsNaN(val))
{
continue;
}
var p1 = PointToCanvas(i - SlotOffset, val, ViewRegion);
if (p.Type == PlotType.Bar)
{
var p2 = PointToCanvas(i - SlotOffset, Math.Max(minVal, Math.Min(maxVal, 0)), ViewRegion);
AddRectangle(
p2.X - Math.Floor((ParentChart.SlotPxWidth - 3) / 2),
p2.Y,
p1.X + Math.Floor((ParentChart.SlotPxWidth - 3) / 2),
p1.Y,
p.Color);
}
else if (p.Type == PlotType.Dash)
{
AddRectangle(
p1.X - Math.Floor((ParentChart.SlotPxWidth - 3) / 2),
p1.Y,
p1.X + Math.Floor((ParentChart.SlotPxWidth - 3) / 2),
p1.Y + 1,
p.Color);
}
else if (p.Type == PlotType.Dot || p.Type == PlotType.Circle)
{
AddCircle(p1.X, p1.Y, Math.Min(5, (ParentChart.SlotPxWidth - 3) / 2), p.Color,
p.Type == PlotType.Circle ? Brushes.Transparent : null);
}
}
}
else if (p.Type == PlotType.Candlestick)
{
var bars = ((DataSeries <Bar>)p.DataSeries).ToArray();
for (int i = pb.ClipLeft; i <= pb.ClipRight; i++)
{
int k = i - pb.Left;
var bar = bars[k];
Brush brush;
if (p.CandleColors == CandleColors.WhiteBlack)
{
brush = Brushes.Black;
}
else
{
brush = bar.Close < bar.Open ? CandleRed : CandleGreen;
}
AddLine(i - SlotOffset, bar.High, i - SlotOffset, bar.Low, brush, LineStyle.Solid, 1, ViewRegion);
var p1 = PointToCanvas(i - SlotOffset, bar.Open, ViewRegion);
var p2 = PointToCanvas(i - SlotOffset, bar.Close, ViewRegion);
AddRectangle(
p1.X - Math.Floor((ParentChart.SlotPxWidth - 3) / 2),
p1.Y,
p2.X + Math.Floor((ParentChart.SlotPxWidth - 3) / 2),
p2.Y,
brush, (p.CandleColors == CandleColors.WhiteBlack && bar.IsGreen) ? Brushes.White : null);
}
}
}
AddVerticalAxis(axisInfo);
}
// time axis
if (DrawTimeAxis)
{
AddTimeAxis();
}
double yOffset = 0;
if (!string.IsNullOrEmpty(Title))
{
AddText(Title, 2, 0, "bold");
yOffset += 16;
}
foreach (var p in Plots.Where(x => x.Type != PlotType.Candlestick && !string.IsNullOrEmpty(x.Title)))
{
AddText(p.Title, 16, yOffset, "normal", Brushes.Black, Brushes.GhostWhite);
double thickness = p.Type == PlotType.ValueLine ? 2 : 6;
AddLine(2, yOffset + 9, 14, yOffset + 9, p.Color, LineStyle.Solid, thickness);
yOffset += 16;
}
}
public string Plot(IPlotParameters plotParameters)
{
var msg = "";
var parameters = (SolutionDomainPlotParameters)plotParameters;
var fs = parameters.ForwardSolverType;
var op = parameters.OpticalProperties;
var xAxis = parameters.XAxis;
var noise = parameters.NoiseValue;
var independentAxis = parameters.IndependentAxes.Label;
var independentValue = parameters.IndependentAxes.Value;
var independentValues = xAxis.AsEnumerable().ToArray();
try
{
IEnumerable <double> doubleResults;
IEnumerable <Complex> complexResults;
double[] xs;
IEnumerable <Point> xyPoints, xyPointsReal, xyPointsImaginary;
PlotData plotData, plotDataReal, plotDataImaginary;
Plots plot;
switch (parameters.SolutionDomain)
{
case SolutionDomainType.ROfRho:
doubleResults = ROfRho(fs, op, xAxis, noise);
xs = independentValues;
xyPoints = xs.Zip(doubleResults, (x, y) => new Point(x, y));
plotData = new PlotData {
Data = xyPoints, Label = "ROfRho"
};
plot = new Plots
{
Id = "ROfRho", Detector = "R(ρ)", Legend = "R(ρ)", XAxis = "ρ", YAxis = "Reflectance",
PlotList = new List <PlotDataJson>()
};
plot.PlotList.Add(new PlotDataJson
{
Data = plotData.Data.Select(item => new List <double> {
item.X, item.Y
}).ToList(),
Label = fs + " μa=" + op.Mua + " μs'=" + op.Musp
});
msg = JsonConvert.SerializeObject(plot);
break;
case SolutionDomainType.ROfRhoAndTime:
if (independentAxis == "t")
{
var time = independentValue;
doubleResults = ROfRhoAndTime(fs, op, xAxis, time, noise);
xs = independentValues;
xyPoints = xs.Zip(doubleResults, (x, y) => new Point(x, y));
plotData = new PlotData {
Data = xyPoints, Label = "ROfRhoAndTime"
};
plot = new Plots
{
Id = "ROfRhoAndTimeFixedTime", Detector = "R(ρ,time)", Legend = "R(ρ,time)",
XAxis = "ρ", YAxis = "Reflectance", PlotList = new List <PlotDataJson>()
};
plot.PlotList.Add(new PlotDataJson
{
Data = plotData.Data.Select(item => new List <double> {
item.X, item.Y
}).ToList(),
Label = fs + " μa=" + op.Mua + " μs'=" + op.Musp + " t=" + time
});
msg = JsonConvert.SerializeObject(plot);
}
else
{
var rho = independentValue;
doubleResults = ROfRhoAndTime(fs, op, rho, xAxis, noise);
xs = independentValues.ToArray(); // the Skip(1) is giving inverse problems
xyPoints = xs.Zip(doubleResults, (x, y) => new Point(x, y));
plotData = new PlotData {
Data = xyPoints, Label = "ROfRhoAndTime"
};
plot = new Plots
{
Id = "ROfRhoAndTimeFixedRho", Detector = "R(ρ,time)", Legend = "R(ρ,time)",
XAxis = "Time", YAxis = "Reflectance", PlotList = new List <PlotDataJson>()
};
plot.PlotList.Add(new PlotDataJson
{
Data = plotData.Data.Select(item => new List <double> {
item.X, item.Y
}).ToList(),
Label = fs + " μa=" + op.Mua + " μs'=" + op.Musp + " ρ=" + rho
});
msg = JsonConvert.SerializeObject(plot);
}
break;
case SolutionDomainType.ROfRhoAndFt:
if (independentAxis == "ft")
{
var rho = xAxis;
var ft = independentValue;
complexResults = ROfRhoAndFt(fs, op, rho, ft, noise).ToArray();
xs = independentValues;
xyPointsReal = xs.Zip(complexResults, (x, y) => new Point(x, y.Real));
xyPointsImaginary = xs.Zip(complexResults, (x, y) => new Point(x, y.Imaginary));
plotDataReal = new PlotData {
Data = xyPointsReal, Label = "ROfRhoAndFt"
};
plotDataImaginary = new PlotData {
Data = xyPointsImaginary, Label = "ROfRhoAndFt"
};
plot = new Plots
{
Id = "ROfRhoAndFtFixedFt", Detector = "R(ρ,ft)", Legend = "R(ρ,ft)", XAxis = "ρ",
YAxis = "Reflectance", PlotList = new List <PlotDataJson>()
};
plot.PlotList.Add(new PlotDataJson
{
Data = plotDataReal.Data.Select(item => new List <double> {
item.X, item.Y
}).ToList(),
Label = fs + " μa=" + op.Mua + " μs'=" + op.Musp + " ft=" + ft + "(real)"
});
plot.PlotList.Add(new PlotDataJson
{
Data = plotDataImaginary.Data.Select(item => new List <double> {
item.X, item.Y
}).ToList(),
Label = fs + " μa=" + op.Mua + " μs'=" + op.Musp + " ft=" + ft + "(imag)"
});
msg = JsonConvert.SerializeObject(plot);
}
else
{
var rho = independentValue;
complexResults = ROfRhoAndFt(fs, op, rho, xAxis, noise).ToArray();
xs = independentValues;
xyPointsReal = xs.Zip(complexResults, (x, y) => new Point(x, y.Real));
xyPointsImaginary = xs.Zip(complexResults, (x, y) => new Point(x, y.Imaginary));
var realPlot = new PlotData {
Data = xyPointsReal, Label = "ROfRhoAndFt"
};
var imagPlot = new PlotData {
Data = xyPointsImaginary, Label = "ROfRhoAndFt"
};
var rhoPlot = new Plots
{
Id = "ROfRhoAndFtFixedRho", Detector = "R(ρ,ft)", Legend = "R(ρ,ft)", XAxis = "ft",
YAxis = "Reflectance", PlotList = new List <PlotDataJson>()
};
rhoPlot.PlotList.Add(new PlotDataJson
{
Data = realPlot.Data.Select(item => new List <double> {
item.X, item.Y
}).ToList(),
Label = fs + " μa=" + op.Mua + " μs'=" + op.Musp + " ρ=" + rho + "(real)"
});
rhoPlot.PlotList.Add(new PlotDataJson
{
Data = imagPlot.Data.Select(item => new List <double> {
item.X, item.Y
}).ToList(),
Label = fs + " μa=" + op.Mua + " μs'=" + op.Musp + " ρ=" + rho + "(imag)"
});
msg = JsonConvert.SerializeObject(rhoPlot);
}
break;
case SolutionDomainType.ROfFx:
doubleResults = ROfFx(fs, op, xAxis, noise);
xs = independentValues;
xyPoints = xs.Zip(doubleResults, (x, y) => new Point(x, y));
plotData = new PlotData {
Data = xyPoints, Label = "ROfFx"
};
plot = new Plots
{
Id = "ROfFx", Detector = "R(fx)", Legend = "R(fx)", XAxis = "fx", YAxis = "Reflectance",
PlotList = new List <PlotDataJson>()
};
plot.PlotList.Add(new PlotDataJson
{
Data = plotData.Data.Select(item => new List <double> {
item.X, item.Y
}).ToList(),
Label = fs + " μa=" + op.Mua + " μs'=" + op.Musp
});
msg = JsonConvert.SerializeObject(plot);
break;
case SolutionDomainType.ROfFxAndTime:
if (independentAxis == "t")
{
var time = independentValue;
doubleResults = ROfFxAndTime(fs, op, xAxis, time, noise);
xs = independentValues;
xyPoints = xs.Zip(doubleResults, (x, y) => new Point(x, y));
plotData = new PlotData {
Data = xyPoints, Label = "ROfFxAndTime"
};
plot = new Plots
{
Id = "ROfFxAndTimeFixedTime", Detector = "R(fx,time)", Legend = "R(fx,time)",
XAxis = "fx", YAxis = "Reflectance", PlotList = new List <PlotDataJson>()
};
plot.PlotList.Add(new PlotDataJson
{
Data = plotData.Data.Select(item => new List <double> {
item.X, item.Y
}).ToList(),
Label = fs + " μa=" + op.Mua + " μs'=" + op.Musp + " t=" + time
});
msg = JsonConvert.SerializeObject(plot);
}
else
{
var fx = independentValue;
doubleResults = ROfFxAndTime(fs, op, fx, xAxis, noise);
xs = independentValues;
xyPoints = xs.Zip(doubleResults, (x, y) => new Point(x, y));
plotData = new PlotData {
Data = xyPoints, Label = "ROfFxAndTime"
};
plot = new Plots
{
Id = "ROfFxAndTimeFixedFx", Detector = "R(fx,time)", Legend = "R(fx,time)",
XAxis = "Time", YAxis = "Reflectance", PlotList = new List <PlotDataJson>()
};
plot.PlotList.Add(new PlotDataJson
{
Data = plotData.Data.Select(item => new List <double> {
item.X, item.Y
}).ToList(),
Label = fs + " μa=" + op.Mua + " μs'=" + op.Musp + " ρ=" + fx
});
msg = JsonConvert.SerializeObject(plot);
}
break;
case SolutionDomainType.ROfFxAndFt:
if (independentAxis == "ft")
{
var ft = independentValue;
complexResults = ROfFxAndFt(fs, op, xAxis, ft, noise).ToArray();
xs = independentValues;
xyPointsReal = xs.Zip(complexResults, (x, y) => new Point(x, y.Real));
xyPointsImaginary = xs.Zip(complexResults, (x, y) => new Point(x, y.Imaginary));
plotDataReal = new PlotData {
Data = xyPointsReal, Label = "ROfFxAndFt"
};
plotDataImaginary = new PlotData {
Data = xyPointsImaginary, Label = "ROfFxAndFt"
};
plot = new Plots
{
Id = "ROfFxAndFtFixedFt", Detector = "R(fx,ft)", Legend = "R(fx,ft)", XAxis = "fx",
YAxis = "Reflectance", PlotList = new List <PlotDataJson>()
};
plot.PlotList.Add(new PlotDataJson
{
Data = plotDataReal.Data.Select(item => new List <double> {
item.X, item.Y
}).ToList(),
Label = fs + " μa=" + op.Mua + " μs'=" + op.Musp + " ft=" + ft + "(real)"
});
plot.PlotList.Add(new PlotDataJson
{
Data = plotDataImaginary.Data.Select(item => new List <double> {
item.X, item.Y
}).ToList(),
Label = fs + " μa=" + op.Mua + " μs'=" + op.Musp + " ft=" + ft + "(imag)"
});
msg = JsonConvert.SerializeObject(plot);
}
else
{
var fx = independentValue;
complexResults = ROfFxAndFt(fs, op, fx, xAxis, noise).ToArray();
xs = independentValues;
xyPointsReal = xs.Zip(complexResults, (x, y) => new Point(x, y.Real));
xyPointsImaginary = xs.Zip(complexResults, (x, y) => new Point(x, y.Imaginary));
plotDataReal = new PlotData {
Data = xyPointsReal, Label = "ROfFxAndFt"
};
plotDataImaginary = new PlotData {
Data = xyPointsImaginary, Label = "ROfFxAndFt"
};
plot = new Plots
{
Id = "ROfFxAndFtFixedFx", Detector = "R(fx,ft)", Legend = "R(fx,ft)", XAxis = "ft",
YAxis = "Reflectance", PlotList = new List <PlotDataJson>()
};
plot.PlotList.Add(new PlotDataJson
{
Data = plotDataReal.Data.Select(item => new List <double> {
item.X, item.Y
}).ToList(),
Label = fs + " μa=" + op.Mua + " μs'=" + op.Musp + " fx=" + fx + "(real)"
});
plot.PlotList.Add(new PlotDataJson
{
Data = plotDataImaginary.Data.Select(item => new List <double> {
item.X, item.Y
}).ToList(),
Label = fs + " μa=" + op.Mua + " μs'=" + op.Musp + " fx=" + fx + "(imag)"
});
msg = JsonConvert.SerializeObject(plot);
}
break;
}
return(msg);
}
catch (Exception e)
{
_logger.LogError("An error occurred: {Message}", e.Message);
throw;
}
}
