mirror of
https://github.com/wwiinnddyy/LanMountainDesktop.git
synced 2026-06-21 16:14:28 +08:00
0.4.9.3
内存泄露问题解决
This commit is contained in:
@@ -14,10 +14,10 @@ public sealed class StudyNoiseDistributionScatterChartControl : Control
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private static readonly Pen GridPen = new(GridBrush, 1);
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private static readonly Pen AxisPen = new(AxisBrush, 1.1);
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private static readonly IBrush QuietPointBrush = new SolidColorBrush(Color.Parse("#FF34D399"));
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private static readonly IBrush NormalPointBrush = new SolidColorBrush(Color.Parse("#FF60A5FA"));
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private static readonly IBrush NoisyPointBrush = new SolidColorBrush(Color.Parse("#FFF59E0B"));
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private static readonly IBrush ExtremePointBrush = new SolidColorBrush(Color.Parse("#FFEF4444"));
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private static readonly IBrush QuietBrush = new SolidColorBrush(Color.Parse("#FF34D399"));
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private static readonly IBrush NormalBrush = new SolidColorBrush(Color.Parse("#FF60A5FA"));
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private static readonly IBrush NoisyBrush = new SolidColorBrush(Color.Parse("#FFF59E0B"));
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private static readonly IBrush ExtremeBrush = new SolidColorBrush(Color.Parse("#FFEF4444"));
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private IReadOnlyList<NoiseRealtimePoint> _points = Array.Empty<NoiseRealtimePoint>();
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private double _baselineDb = 45;
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@@ -47,34 +47,102 @@ public sealed class StudyNoiseDistributionScatterChartControl : Control
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DrawGrid(context, plot);
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if (_points.Count == 0)
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if (_points.Count < 2)
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{
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return;
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}
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DrawElectronCloud(context, plot);
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}
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private void DrawElectronCloud(DrawingContext context, Rect plot)
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{
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var start = _points[0].Timestamp;
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var end = _points[^1].Timestamp;
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var totalTicks = Math.Max(1, (end - start).Ticks);
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var maxRenderPoints = Math.Clamp((int)Math.Floor(plot.Width * 1.5), 80, 520);
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var step = Math.Max(1, _points.Count / Math.Max(1, maxRenderPoints));
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var radius = Math.Clamp(Math.Min(plot.Width, plot.Height) / 88d, 1.4, 3.8);
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for (var i = 0; i < _points.Count; i += step)
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var pointCount = _points.Count;
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var cloudLayers = 8;
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var baseRadius = Math.Clamp(Math.Min(plot.Width, plot.Height) / 45d, 3, 12);
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var sortedPoints = new List<(double X, double Y, NoiseDistributionLevel Level)>();
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for (var i = 0; i < pointCount; i++)
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{
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var point = _points[i];
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var level = ResolveLevel(point.DisplayDb, _baselineDb);
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var x = MapX(plot, point.Timestamp, start, totalTicks);
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var y = MapY(plot, level, point.Timestamp);
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context.DrawEllipse(GetLevelBrush(level), pen: null, center: new Point(x, y), radiusX: radius, radiusY: radius);
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var y = MapYContinuous(plot, point.DisplayDb);
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var level = ResolveLevel(point.DisplayDb, _baselineDb);
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sortedPoints.Add((x, y, level));
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}
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sortedPoints.Sort((a, b) => a.X.CompareTo(b.X));
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for (var layer = cloudLayers - 1; layer >= 0; layer--)
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{
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var layerRatio = (double)layer / (cloudLayers - 1);
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var layerRadius = baseRadius * (1.2 + layerRatio * 0.8);
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var layerAlpha = (byte)(40 + layerRatio * 25);
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foreach (var pt in sortedPoints)
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{
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var brush = GetLevelBrushWithAlpha(pt.Level, layerAlpha);
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var jitterX = ComputeJitter(pt.X * 1000 + layer) * layerRadius * 0.3;
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var jitterY = ComputeJitter(pt.Y * 1000 + layer) * layerRadius * 0.3;
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context.DrawEllipse(
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brush,
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pen: null,
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center: new Point(pt.X + jitterX, pt.Y + jitterY),
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radiusX: layerRadius,
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radiusY: layerRadius * 0.7);
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}
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}
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var glowLayers = 5;
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for (var layer = glowLayers - 1; layer >= 0; layer--)
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{
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var layerRatio = (double)layer / (glowLayers - 1);
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var layerRadius = baseRadius * (0.8 + layerRatio * 0.6);
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var layerAlpha = (byte)(20 + layerRatio * 15);
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foreach (var pt in sortedPoints)
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{
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var brush = GetLevelBrushWithAlpha(pt.Level, layerAlpha);
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context.DrawEllipse(
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brush,
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pen: null,
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center: new Point(pt.X, pt.Y),
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radiusX: layerRadius,
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radiusY: layerRadius * 0.6);
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}
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}
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// Ensure latest point is always visible.
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var latest = _points[^1];
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var latestLevel = ResolveLevel(latest.DisplayDb, _baselineDb);
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var latestX = MapX(plot, latest.Timestamp, start, totalTicks);
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var latestY = MapY(plot, latestLevel, latest.Timestamp);
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context.DrawEllipse(GetLevelBrush(latestLevel), pen: new Pen(Brushes.White, 1), center: new Point(latestX, latestY), radiusX: radius + 0.8, radiusY: radius + 0.8);
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var latestY = MapYContinuous(plot, latest.DisplayDb);
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var latestLevel = ResolveLevel(latest.DisplayDb, _baselineDb);
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for (var i = 3; i >= 0; i--)
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{
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var radius = baseRadius * (1.5 + i * 0.8);
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var alpha = (byte)(30 - i * 6);
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var glowBrush = GetLevelBrushWithAlpha(latestLevel, alpha);
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context.DrawEllipse(glowBrush, null, new Point(latestX, latestY), radius, radius * 0.6);
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}
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context.DrawEllipse(
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GetLevelBrush(latestLevel),
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new Pen(Brushes.White, 1.5),
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new Point(latestX, latestY),
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baseRadius + 1,
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baseRadius * 0.7 + 1);
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context.DrawEllipse(
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Brushes.White,
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null,
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new Point(latestX, latestY),
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2,
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2);
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}
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private static void DrawGrid(DrawingContext context, Rect plot)
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@@ -103,34 +171,28 @@ public sealed class StudyNoiseDistributionScatterChartControl : Control
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return plot.Left + plot.Width * (offsetTicks / (double)totalTicks);
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}
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private static double MapY(Rect plot, NoiseDistributionLevel level, DateTimeOffset timestamp)
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private double MapYContinuous(Rect plot, double displayDb)
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{
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// 4 bands: quiet(bottom) -> extreme(top). Add deterministic jitter in each band.
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var bandHeight = plot.Height / 4d;
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var levelIndex = level switch
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{
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NoiseDistributionLevel.Quiet => 0,
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NoiseDistributionLevel.Normal => 1,
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NoiseDistributionLevel.Noisy => 2,
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NoiseDistributionLevel.Extreme => 3,
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_ => 1
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};
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var minDb = _baselineDb - 5;
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var maxDb = _baselineDb + 25;
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var dbRange = maxDb - minDb;
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if (dbRange <= 0) dbRange = 30;
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var centerY = plot.Bottom - ((levelIndex + 0.5) * bandHeight);
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var jitter = ComputeJitter(timestamp.Ticks) * bandHeight * 0.26;
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return Math.Clamp(centerY + jitter, plot.Top + 1.5, plot.Bottom - 1.5);
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var normalizedDb = (displayDb - minDb) / dbRange;
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normalizedDb = Math.Clamp(normalizedDb, 0, 1);
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return plot.Bottom - (normalizedDb * plot.Height);
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}
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private static double ComputeJitter(long ticks)
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private static double ComputeJitter(double value)
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{
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// Deterministic pseudo-random value in [-1, 1] to avoid overlap without animation noise.
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var value = (ulong)ticks;
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value ^= value >> 33;
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value *= 0xff51afd7ed558ccdUL;
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value ^= value >> 33;
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value *= 0xc4ceb9fe1a85ec53UL;
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value ^= value >> 33;
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var normalized = (value & 0xFFFF) / 65535d;
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var hash = (ulong)(value * 1000000);
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hash ^= hash >> 33;
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hash *= 0xff51afd7ed558ccdUL;
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hash ^= hash >> 33;
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hash *= 0xc4ceb9fe1a85ec53UL;
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hash ^= hash >> 33;
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var normalized = (hash & 0xFFFF) / 65535d;
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return (normalized * 2d) - 1d;
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}
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@@ -162,11 +224,23 @@ public sealed class StudyNoiseDistributionScatterChartControl : Control
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{
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return level switch
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{
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NoiseDistributionLevel.Quiet => QuietPointBrush,
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NoiseDistributionLevel.Normal => NormalPointBrush,
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NoiseDistributionLevel.Noisy => NoisyPointBrush,
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NoiseDistributionLevel.Extreme => ExtremePointBrush,
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_ => NormalPointBrush
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NoiseDistributionLevel.Quiet => QuietBrush,
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NoiseDistributionLevel.Normal => NormalBrush,
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NoiseDistributionLevel.Noisy => NoisyBrush,
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NoiseDistributionLevel.Extreme => ExtremeBrush,
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_ => NormalBrush
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};
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}
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private static IBrush GetLevelBrushWithAlpha(NoiseDistributionLevel level, byte alpha)
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{
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return level switch
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{
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NoiseDistributionLevel.Quiet => new SolidColorBrush(Color.FromArgb(alpha, 0x34, 0xD3, 0x99)),
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NoiseDistributionLevel.Normal => new SolidColorBrush(Color.FromArgb(alpha, 0x60, 0xA5, 0xFA)),
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NoiseDistributionLevel.Noisy => new SolidColorBrush(Color.FromArgb(alpha, 0xF5, 0x9E, 0x0B)),
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NoiseDistributionLevel.Extreme => new SolidColorBrush(Color.FromArgb(alpha, 0xEF, 0x44, 0x44)),
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_ => new SolidColorBrush(Color.FromArgb(alpha, 0x60, 0xA5, 0xFA))
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};
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}
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}
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