public void Execute(TestParameters testParameters, TimeSpan duration, Action <double> fpsResult)
{
int pointCount = testParameters.PointCount;
int seriesCount = testParameters.PointCount;
DataSeries = null;
// Generate Data and mark time
XyData[] xyData = new XyData[seriesCount];
var random = new Random();
for (int i = 0; i < seriesCount; i++)
{
var generator = new RandomWalkGenerator(random.Next(0, int.MaxValue));
xyData[i] = generator.GetRandomWalkSeries(pointCount);
}
// Append to SciChartSurface
var allDataSeries = new IDataSeries[seriesCount];
for (int i = 0; i < seriesCount; i++)
{
var dataSeries = new XyDataSeries <double, double>();
dataSeries.Append(xyData[i].XData, xyData[i].YData);
allDataSeries[i] = dataSeries;
}
DataSeries = allDataSeries;
// Run test (just refresh)
_testRunner = new DispatcherTimerRunner(duration, () => this.sciChart.InvalidateElement(), fpsResult);
sciChart.Rendered += _testRunner.OnSciChartRendered;
_testRunner.Run();
}
public void AddHitPercentageTrendPlot(string pilotName, string plotName, string tourTypeFilter, SortableList <StatsDomainObject> statsList)
{
Registry.GetPilotStats(pilotName).FighterScoresList.SortList("TourNumber", ListSortDirection.Ascending);
var xy = new XyData(pilotName, plotName, null, null, Color.DarkOrange, statsList);
_plots.Add(xy);
// hmmm, im not 100% convinced this will add the data in the correct order??
foreach (var score in
Registry.GetPilotStats(pilotName)
.FighterScoresList
.Where(score => score.TourType == tourTypeFilter))
{
xy.YData.Add((double)score.VsEnemyHitPercentageScore);
}
}
/**
* 搜索算法
*/
public static List <APoint> Search()
{
MinHeap heap = new MinHeap(); // 用最小堆来记录扩展的点
XyData[] directs = new XyData[4]; // 可以扩展的四个方向
//[{ x: 1, y: 0}, { x: 0, y: 1}, { x: -1, y: 0}, { x: 0, y: -1}];
directs[0] = new XyData(1, 0);
directs[1] = new XyData(0, 1);
directs[2] = new XyData(-1, 0);
directs[3] = new XyData(0, -1);
heap.add(new PointData(Astar.mStartPos, 0, 0, null)); // 把起始点放入堆
PointData lastData = null; // 找到的最后一个点的数据,用来反推路径
for (bool finish = false; !finish && !heap.isEmpty();)
{
PointData data = heap.getAndRemoveMin(); // 取出f值最小的点
APoint point = data.point;
if (MapMgr.width <= point.x)
{
continue;
}
if (Astar.mRoadPointArr[point.x] == null)
{
continue;
}
if (Astar.mRoadPointArr[point.x][point.y] == TILEDMAP_TYPE.SPACE) // 将取出的点标识为已访问点
{
Astar.mRoadPointArr[point.x][point.y] = TILEDMAP_TYPE.VISITED;
}
for (int i = 0; i < directs.Length; ++i) // 遍历四个方向的点
{
APoint newPnt = new APoint(point.x + directs[i].x, point.y + directs[i].y);
if (newPnt.x >= 0 && newPnt.x < MapMgr.width && newPnt.y >= 0 &&
newPnt.y < MapMgr.height)
{
TILEDMAP_TYPE e = Astar.mRoadPointArr[newPnt.x][newPnt.y];
if (Astar.mEndPos.equals(newPnt)) // 如果是终点,则跳出循环,不用再找
{
lastData = data;
finish = true;
break;
}
if (e != TILEDMAP_TYPE.SPACE) // 如果不是空地,就不需要再扩展
{
continue;
}
PointData inQueueData = heap.find(newPnt);
if (inQueueData != null) // 如果在堆里,则更新g值
{
if (inQueueData.g > data.g + 1)
{
inQueueData.g = data.g + 1;
inQueueData.parent = data;
}
}
else // 如果不在堆里,则放入堆中
{
float h = Astar.h(newPnt);
PointData newData = new PointData(newPnt, data.g + 1, h, data);
heap.add(newData);
}
}
}
}
List <APoint> arr = new List <APoint>();
// 反向找出路径
for (PointData pathData = lastData; pathData != null;)
{
APoint pnt = pathData.point;
if (Astar.mRoadPointArr[pnt.x][pnt.y] == TILEDMAP_TYPE.VISITED)
{
Astar.mRoadPointArr[pnt.x][pnt.y] = TILEDMAP_TYPE.ON_PATH;
arr.Add(pnt);
}
pathData = pathData.parent;
}
return(arr);
}
public void Execute(TestParameters testParameters, TimeSpan duration, Action <double> fpsResult)
{
int pointCount = testParameters.PointCount;
int seriesCount = testParameters.PointCount;
DataSeries = null;
using (sciChart.SuspendUpdates())
{
// Generate Data and mark time
XyData[] xyData = new XyData[seriesCount];
var random = new Random();
for (int i = 0; i < seriesCount; i++)
{
var generator = new RandomWalkGenerator(random.Next(0, int.MaxValue));
xyData[i] = generator.GetRandomWalkSeries(pointCount);
}
// Append to SciChartSurface
var allDataSeries = new IDataSeries[seriesCount];
for (int i = 0; i < seriesCount; i++)
{
var dataSeries = new XyDataSeries <double, double>()
{
DataDistributionCalculator = d
};
dataSeries.Append(xyData[i].XData, xyData[i].YData);
allDataSeries[i] = dataSeries;
}
DataSeries = allDataSeries;
LineSeriesSource.SetStrokeThickness(sciChart, testParameters.StrokeThickness);
LineSeriesSource.SetAntiAliasing(sciChart, testParameters.AntiAliasing);
LineSeriesSource.SetDataSeries(sciChart, allDataSeries);
sciChart.ZoomExtents();
// Run test (just refresh)
//int inc = 1;
}
System.Diagnostics.Stopwatch sw = new System.Diagnostics.Stopwatch();
sw.Restart();
if (testParameters.TestRunner == TestRunnerType.Composition)
{
_testRunner = new CompositionTestRunner(duration, () =>
{
// Make small changes to the YAxis Visible Range to trigger an update and cause some rescaling
//var currentRange = this.sciChart.YAxis.VisibleRange.AsDoubleRange();
double dY = (double)sw.ElapsedMilliseconds / 1000.0;
this.sciChart.YAxis.VisibleRange = new DoubleRange(-40 - dY, 40 + dY);
//this.sciChart.YAxis.VisibleRange.SetMinMax(-1 - dY, 1 + dY);
//inc = -inc;
}, fpsResult);
}
else
{
_testRunner = new DispatcherTimerRunner(duration, () =>
{
// Make small changes to the YAxis Visible Range to trigger an update and cause some rescaling
//var currentRange = this.sciChart.YAxis.VisibleRange.AsDoubleRange();
//this.sciChart.YAxis.VisibleRange = new DoubleRange(currentRange.Min - RangeIncrement, currentRange.Max + RangeIncrement);
//If not setting large scale enough, SciChart crashes randomly. (-30 ... 30) is not enough
double dY = (double)sw.ElapsedMilliseconds / 1000.0;
this.sciChart.YAxis.VisibleRange = new DoubleRange(-40 - dY, 40 + dY);
//inc = -inc;
}, fpsResult);
}
sciChart.Rendered += _testRunner.OnSciChartRendered;
_testRunner.Run();
}
public void AddSimpleTrendPlot(string pilotName, string plotName, string statName, Color lineColour, SortableList <StatsDomainObject> statsList)
{
var xy = new XyData(pilotName, plotName, statName, null, lineColour, statsList);
_plots.Add(xy);
}
public void AddRatioTrendPlot(string pilotName, string plotName, string statNameDividend, string statNameDivisor, Color lineColour, SortableList <StatsDomainObject> statsList)
{
var xy = new XyData(pilotName, plotName, statNameDividend, statNameDivisor, lineColour, statsList);
_plots.Add(xy);
}
