public RTandInt Interpolate(double[] starttimes, double[] intensities)
{
List <double> intensityList = new List <double>();
List <double> starttimesList = new List <double>();
//First step is interpolating a spline, then choosing the pointsat which to add values:
CubicSpline interpolation = CubicSpline.InterpolateNatural(starttimes, intensities);
//Now we work out how many to add so we reach at least 100 datapoints and add them:
double stimesinterval = starttimes.Last() - starttimes[0];
int numNeeded = 100 - starttimes.Count();
double intervals = stimesinterval / numNeeded;
intensityList = intensities.OfType <double>().ToList();
starttimesList = starttimes.OfType <double>().ToList();
for (int i = 0; i < numNeeded; i++)
{
double placetobe = starttimes[0] + (intervals * i);
//insert newIntensity into the correct spot in the array
for (int currentintensity = 0; currentintensity < 100; currentintensity++)
{
if (starttimesList[currentintensity] < placetobe)
{
continue;
}
else
{
if (currentintensity > 0)
{
if (starttimesList[currentintensity] == placetobe)
{
placetobe = placetobe + 0.01;
}
double newIntensity = interpolation.Interpolate(placetobe);
intensityList.Insert(currentintensity, newIntensity);
starttimesList.Insert(currentintensity, placetobe);
}
else
{
if (starttimesList[currentintensity] == placetobe)
{
placetobe = placetobe - 0.01;
}
double newIntensity = interpolation.Interpolate(placetobe);
intensityList.Insert(currentintensity, newIntensity);
starttimesList.Insert(currentintensity, placetobe);
}
break;
}
}
}
RTandInt ri = new RTandInt();
ri.intensities = intensityList.Select(item => Convert.ToDouble(item)).ToArray();
ri.starttimes = starttimesList.Select(item => Convert.ToDouble(item)).ToArray();
return(ri);
}
public void MoveFeetAlongCurve(HumanBodyBones foot, AvatarIKGoal goal, Vector3 currentPosition, float speed)
{
var step = speed * Time.deltaTime;
var newYlocalValue = (float)curve.Interpolate(localFootProjection.z);
newGlobalPosition = matrix.MultiplyPoint3x4(new Vector3(0, newYlocalValue, localFootProjection.z));
// newGlobalPosition = currentPosition;
// // float yVar = Mathf.Lerp(currentPosition.y, newYGlobalValues.y, 0.5f);
// newGlobalPosition.y = newYGlobalValues.y;
var yVar = Mathf.MoveTowards(currentPosition.y, newGlobalPosition.y, step);
newGlobalPosition.y = yVar;
_animator.SetIKPositionWeight(goal, 1);
_animator.SetIKPosition(goal, newGlobalPosition);
// var currentGlobalPosition = _animator.GetBoneTransform(foot).position;
// var newYlocalValue = (float)_curve.Interpolate(localFootProjection.z);
// var newYGlobalValues = matrix.MultiplyPoint3x4(new Vector3(0, newYlocalValue, localFootProjection.z));
//
// float yVariable = Mathf.Lerp(prevPositionY, newYGlobalValues.y, 0.5f);
// currentGlobalPosition.y += yVariable;
// prevPositionY = yVariable;
//
// newGlobalPosition = currentGlobalPosition;
// newGlobalPosition.y = newYGlobalValues.y;
// _animator.SetIKPositionWeight(goal, 1);
// _animator.SetIKPosition(goal, currentGlobalPosition);
}
private decimal PlotValue(decimal[] DataPoints, decimal Position)
{
CubicSpline oCs = CubicSpline.InterpolateNatural(
DataPoints.Select((s, i2) => new { i2, s })
.Select(t => Convert.ToDouble(t.i2)).ToArray(),
DataPoints.Select(s => Convert.ToDouble(s)).ToArray());
return(Convert.ToDecimal(oCs.Interpolate(Convert.ToDouble(Position))));
}
public double GetYPoint(double xPoint)
{
double y = _interpolator.Interpolate(xPoint);
if (y > 255)
{
return(255);
}
if (y < 0)
{
return(0);
}
return(y);
}
public void InterpolateCurvePchip()
{
List <SensitivityPoint> smoothCurve = new List <SensitivityPoint>();
double[] timestamp = sensCurve.Select(sensCurve => sensCurve.timeStamp).ToArray();
double[] randomsense = sensCurve.Select(sensCurve => sensCurve.sensitivity).ToArray();
CubicSpline spline = CubicSpline.InterpolatePchip(timestamp, randomsense);
for (double timecode = 0; timecode < this.lenght; timecode += timestep)
{
SensitivityPoint sensPoint = new SensitivityPoint(timecode, spline.Interpolate(timecode));
smoothCurve.Add(sensPoint);
}
sensCurve = smoothCurve;
}
private void FitSpline(FreeformPointLineSeries fpls)
{
m_chart.BeginUpdate();
int iMarkerCount = fpls.SeriesEventMarkers.Count;
double[] aMarkerValuesX = new double[iMarkerCount];
double[] aMarkerValuesY = new double[iMarkerCount];
for (int i = 0; i < iMarkerCount; i++)
{
SeriesEventMarker marker = fpls.SeriesEventMarkers[i];
aMarkerValuesX[i] = marker.XValue;
aMarkerValuesY[i] = marker.YValue;
}
//One solved point for each pixel in X-dimension
double[] aXValues = new double[100];
double dXMin = aMarkerValuesX[0];
double dXMax = aMarkerValuesX[iMarkerCount - 1];
double dXStep = (dXMax - dXMin) / (double)(100 - 1);
for (int i = 0; i < 100; i++)
{
aXValues[i] = dXMin + dXStep * (double)i;
}
int iOrder = iMarkerCount - 1;
//double[] aYValues = MathRoutines.PolynomialRegression(aMarkerValuesX, aMarkerValuesY, aXValues, iOrder);
double[] aYValues = new double[100];
CubicSpline naturalSpline = CubicSpline.InterpolateNatural(aMarkerValuesX, aMarkerValuesY);
for (int i = 0; i < 100; i++)
{
aYValues[i] = naturalSpline.Interpolate(aXValues[i]);
}
if (aYValues != null)
{
fpls.Clear();
fpls.AddPoints(aXValues, aYValues, false);
}
m_chart.EndUpdate();
}
/// <summary>Interpolates the specified x.</summary>
/// <param name="x">The x.</param>
/// <returns></returns>
private double Interpolate(double x)
{
return(spline.Interpolate(x));
}
public float GetDragCoefficient(float angleOfAttack)
{
return((float)selectedDragInterpolation.Interpolate((double)angleOfAttack));
}
static double[][] emd(double[] signal, double[][] mods, int calls, int countOfMods)
{
if (originalSignal == null)
{
originalSignal = signal;
}
//int calls = 0;
double[] mod = new double[signal.Length];
// while (calls<=21)
{
double[] localMaximums;
double[] localMinimums;
double[] indexesOfLocalMaximums;
double[] indexesOfLocalMinimums;
FindExtremums(signal, out localMinimums, out localMaximums, out indexesOfLocalMinimums, out indexesOfLocalMaximums);
if (calls == 100)
{
GC.Collect();
}
if (calls > 150 || indexesOfLocalMaximums.Length <= 1 || indexesOfLocalMinimums.Length <= 1)
{
mods[countOfMods] = originalSignal;
return(mods);
}
double[] interpMinimums = new double[signal.Length];
double[] interpMaximums = new double[signal.Length];
Stopwatch sss = new Stopwatch();
sss.Start();
// ToFile(localMinimums);
// ToFile(localMaximums);
CubicSpline interp = new CubicSpline();
interp.BuildSpline(indexesOfLocalMinimums, localMinimums, indexesOfLocalMinimums.Length);
int min = (int)(indexesOfLocalMinimums[0] < indexesOfLocalMaximums[0]
? indexesOfLocalMaximums[0]
: indexesOfLocalMinimums[0]);
int max = (int)(indexesOfLocalMinimums[indexesOfLocalMinimums.Length - 1] > indexesOfLocalMaximums[indexesOfLocalMaximums.Length - 1]
? indexesOfLocalMaximums[indexesOfLocalMaximums.Length - 1]
: indexesOfLocalMinimums[indexesOfLocalMinimums.Length - 1]);
double[] difference = new double[max - min];
for (int interpolatedX = min; interpolatedX < max; interpolatedX++)
{
interpMinimums[interpolatedX] = interp.Interpolate(interpolatedX);
}
// ToFile(interpMinimums);
interp.BuildSpline(indexesOfLocalMaximums, localMaximums, indexesOfLocalMaximums.Length);
for (int interpolatedX = min; interpolatedX < max; interpolatedX++)
{
interpMaximums[interpolatedX] = interp.Interpolate(interpolatedX);
}
// ToFile(interpMaximums);
sss.Stop();
for (int i = min; i < max; i++)
{
difference[i - min] = signal[i] - (interpMaximums[i] + interpMinimums[i]) / 2;
}
int countOfNulls = 0;
double mean = 0;
for (int i = 0; i < difference.Length - 1; i++)
{
if (difference[i] * difference[i + 1] < 0)
{
countOfNulls++;
}
mean += difference[i];
}
mean /= difference.Length;
FindExtremums(difference, out localMinimums, out localMaximums, out indexesOfLocalMinimums, out indexesOfLocalMaximums);
if (Math.Abs(mean) <= 0.009 && Math.Abs(indexesOfLocalMaximums.Length + indexesOfLocalMinimums.Length - countOfNulls) <= 1)
{
mods[countOfMods] = difference;
countOfMods++;
var backupLink = originalSignal;
originalSignal = new double[max - min];
for (int i = min; i < max; i++)
{
originalSignal[i - min] = backupLink[i] - difference[i - min];
}
calls++;
/* difference = null;
* localMinimums = null;
* localMaximums = null;
* indexesOfLocalMinimums = null;
* indexesOfLocalMaximums = null;
* interpMaximums = null;
* interpMinimums = null;*/
return(emd(originalSignal, mods, calls, countOfMods));
}
calls++;
return(emd(difference, mods, calls, countOfMods));
}
}
/// <summary>
/// Returns the speed value of a given spline
/// </summary>
/// <param name="t"></param>
/// <returns></returns>
public double Speed(double t)
{
return(Math.Round(_speedSpline.Interpolate(t), 4));
}
private List <Wave> GetListOfWavesFromRange(DateTime StartDate, DateTime EndDate)
{
List <double> oPriceData = GetRangeOfDataAsDoubleIncludingLowHigh(StartDate, EndDate);
if (oPriceData.Count < 5)
{
return(new List <Wave>());
}
CubicSpline oCSTotalData = CubicSpline.InterpolateAkimaSorted(
oPriceData.Select((s, i2) => new { i2, s })
.Select(t => Convert.ToDouble(t.i2)).ToArray(),
oPriceData.Select(s => Convert.ToDouble(s)).ToArray());
//create list of Waves
List <Wave> oWaves = new List <Wave>();
var FirstVarDiff = oPriceData.Select((s, i2) => new { i2, s })
.ToList().Select(f => oCSTotalData.Differentiate(Convert.ToDouble(f.i2))).ToArray();
int i = 0;
Momentum Current = Momentum.Neutral;
Momentum Old = Momentum.Neutral;
List <double> oCalcDoublesForWave = new List <double>();
bool bFirst = true;
foreach (var fvd in FirstVarDiff)
{
if (fvd < 0)
{
Current = Momentum.Negative;
}
else if (fvd == 0)
{
Current = Momentum.Neutral;
}
else
{
Current = Momentum.Positive;
}
if (bFirst)
{
oCalcDoublesForWave.Add(oCSTotalData.Interpolate(i));
bFirst = false;
}
else
{
if (Current != Old && oCalcDoublesForWave.Count > 1)
{
oWaves.Add(new Wave
{
End = oCalcDoublesForWave.Last(),
Start = oCalcDoublesForWave.First(),
Length = oCalcDoublesForWave.Count,
Momentum = Old,
SourceIndex = i
});
oCalcDoublesForWave.Clear();
}
else if (Current != Old && oCalcDoublesForWave.Count <= 1)
{
oCalcDoublesForWave.Clear();
}
oCalcDoublesForWave.Add(oCSTotalData.Interpolate(i));
}
Old = Current;
i++;
}
return(oWaves);
}
/// <summary>
/// Returns the latitude value of a given spline
/// </summary>
/// <param name="t"></param>
/// <returns></returns>
public double Latitude(double t)
{
return(_latitudeSpline.Interpolate(t));
}
/// <summary>
/// Returns the z coordinate of a given spline
/// </summary>
/// <param name="t"></param>
/// <returns></returns>
public double Z(double t)
{
return(Math.Round(_zSpline.Interpolate(t), 4));
}
/// <summary>
/// Returns the thrust value of a given spline
/// </summary>
/// <param name="t"></param>
/// <returns></returns>
public double Thrust(double t)
{
return(Math.Round(_thrustSpline.Interpolate(t), 4));
}
/// <summary>
/// interpolates the Y-value at the given point
/// </summary>
/// <param name="point">the point to interpolate</param>
/// <returns>the interpolated value</returns>
public double Interpolate(double point)
{
return(spline.Interpolate(point));
}
public Collection <DataPoint> GeneratePointsFromBitmap(string filename)
{
filename = Path.ChangeExtension(filename, "png");
if (File.Exists(filename))
{
double fmax = 19000.0;
double fmin = 20.0;
double dbrange = 16.0;
double dbmax = 1;
double sampleRate = 48000;
int sampleSize = 16384;
// Create a Bitmap object from an image file.
Bitmap iBitmap = new Bitmap(filename);
Bitmap oBitmap = new Bitmap(iBitmap.Width, iBitmap.Height);
int first = 0;
int last = 0;
int size = 0;
double min = iBitmap.Height;
double max = 0;
double mag = 0;
// Get the color of a pixel within myBitmap.
Collection <KeyValuePair <int, double> > points = new Collection <KeyValuePair <int, double> >();
for (var x = 0; x < iBitmap.Width; x++)
{
List <int> list = new List <int>();
for (var y = 0; y < iBitmap.Height; y++)
{
Color pixelColor = iBitmap.GetPixel(x, y);
if ((pixelColor.R > 200) && (pixelColor.G < 25) && (pixelColor.B < 25))
{
if (first == 0)
{
first = x;
}
else
{
last = x;
}
oBitmap.SetPixel(x, y, Color.FromArgb(255, 0, 0));
list.Add(y);
}
}
if (list.Count > 0)
{
var a = iBitmap.Height - list.Average();
points.Add(new KeyValuePair <int, double>(x, a));
if (a < min)
{
min = a;
}
if (a > max)
{
max = a;
}
}
}
size = last - first + 1;
mag = max - min + 1;
//calculate gain & offset
double scale = dbrange / mag;
double shift = dbmax - max * scale;
//check
double n_min = min * scale + shift;
double n_max = max * scale + shift;
//convert bitmap to frequency spectrum
Collection <double> ex = new Collection <double>();
Collection <double> ey = new Collection <double>();
for (var x = 0; x < points.Count; x++)
{
double df = Math.Log10(fmax / fmin); //over aproximately 3 decades
double f = 20.0 * Math.Pow(10.0, df * x / points.Count); //convert log horizontal image pixels to linear frequency scale in Hz
double y = points[x].Value * scale + shift; //scale and shift vertical image pixels to correct magnitude in dB
ex.Add(f);
ey.Add(Math.Pow(10.0, y / 20.0));
}
//interpolate frequency spectrum to match Audyssey responseData length
double[] frequency = Enumerable.Range(0, sampleSize).Select(p => p * sampleRate / sampleSize).ToArray();
CubicSpline IA = CubicSpline.InterpolateAkima(ex, ey);
Collection <DataPoint> frequency_points = new Collection <DataPoint>();
foreach (var f in frequency)
{
if (f < fmin)
{ // exptrapolate
frequency_points.Add(new DataPoint(f, double.NegativeInfinity));
}
else
{
if (f > fmax)
{ // exptrapolate
frequency_points.Add(new DataPoint(f, double.NegativeInfinity));
}
else
{ //interpolate
frequency_points.Add(new DataPoint(f, 20 * Math.Log10(IA.Interpolate(f))));
}
}
}
oBitmap.Save(Path.ChangeExtension(filename, "jpg"), System.Drawing.Imaging.ImageFormat.Jpeg);
return(frequency_points);
}
else
{
return(null);
}
}
public static List <OsuMovement> ExtractMovement(OsuHitObject obj0, OsuHitObject obj1, OsuHitObject obj2, OsuHitObject obj3,
Vector <double> tapStrain, double clockRate)
{
var movement = new OsuMovement();
double t12 = (obj2.StartTime - obj1.StartTime) / clockRate / 1000.0;
movement.RawMT = t12;
movement.Time = obj2.StartTime / 1000.0;
if (obj2 is Spinner || obj1 is Spinner)
{
movement.IP12 = 0;
movement.D = 0;
movement.MT = 1;
movement.Cheesablility = 0;
movement.CheesableRatio = 0;
return(new List <OsuMovement>()
{
movement
});
}
if (obj0 is Spinner)
{
obj0 = null;
}
if (obj3 is Spinner)
{
obj3 = null;
}
var pos1 = Vector <double> .Build.Dense(new[] { (double)obj1.Position.X, (double)obj1.Position.Y });
var pos2 = Vector <double> .Build.Dense(new[] { (double)obj2.Position.X, (double)obj2.Position.Y });
var s12 = (pos2 - pos1) / (2 * obj2.Radius);
double d12 = s12.L2Norm();
double IP12 = FittsLaw.CalculateIP(d12, t12);
movement.IP12 = IP12;
var s01 = Vector <double> .Build.Dense(2);
var s23 = Vector <double> .Build.Dense(2);
double d01 = 0;
double d23 = 0;
double t01 = 0;
double t23 = 0;
double flowiness012 = 0;
double flowiness123 = 0;
bool obj1InTheMiddle = false;
bool obj2InTheMiddle = false;
// Correction #1 - The Previous Object
// Estimate how obj0 affects the difficulty of hitting obj2
double correction0 = 0;
if (obj0 != null)
{
var pos0 = Vector <double> .Build.Dense(new[] { (double)obj0.Position.X, (double)obj0.Position.Y });
s01 = (pos1 - pos0) / (2 * obj2.Radius);
d01 = s01.L2Norm();
t01 = (obj1.StartTime - obj0.StartTime) / clockRate / 1000.0;
if (d12 != 0)
{
double tRatio0 = t12 / t01;
if (tRatio0 > tRatioThreshold)
{
if (d01 == 0)
{
correction0 = correction0Still;
}
else
{
double cos012 = Math.Min(Math.Max(-s01.DotProduct(s12) / d01 / d12, -1), 1);
double correction0_moving = correction0MovingSpline.Interpolate(cos012);
double movingness = SpecialFunctions.Logistic(d01 * 2) * 2 - 1;
correction0 = (movingness * correction0_moving + (1 - movingness) * correction0Still) * 1.5;
}
}
else if (tRatio0 < 1 / tRatioThreshold)
{
if (d01 == 0)
{
correction0 = 0;
}
else
{
double cos012 = Math.Min(Math.Max(-s01.DotProduct(s12) / d01 / d12, -1), 1);
correction0 = (1 - cos012) * SpecialFunctions.Logistic((d01 * tRatio0 - 1.5) * 4) * 0.3;
}
}
else
{
obj1InTheMiddle = true;
var normalized_pos0 = -s01 / t01 * t12;
double x0 = normalized_pos0.DotProduct(s12) / d12;
double y0 = (normalized_pos0 - x0 * s12 / d12).L2Norm();
double correction0Flow = calcCorrection0Or3(d12, x0, y0, k0fInterp, scale0fInterp, coeffs0fInterps);
double correction0Snap = calcCorrection0Or3(d12, x0, y0, k0sInterp, scale0sInterp, coeffs0sInterps);
double correction0Stop = calcCorrection0Stop(d12, x0, y0);
flowiness012 = SpecialFunctions.Logistic((correction0Snap - correction0Flow - 0.05) * 20);
correction0 = Mean.PowerMean(new double[] { correction0Flow, correction0Snap, correction0Stop }, -10) * 1.3;
//Console.Write(obj2.StartTime + " ");
//Console.Write(correction0Flow.ToString("N3") + " ");
//Console.Write(correction0Snap.ToString("N3") + " ");
//Console.Write(correction0Stop.ToString("N3") + " ");
//Console.Write(correction0.ToString("N3") + " ");
//Console.WriteLine();
}
}
}
// Correction #2 - The Next Object
// Estimate how obj3 affects the difficulty of hitting obj2
double correction3 = 0;
if (obj3 != null)
{
var pos3 = Vector <double> .Build.Dense(new[] { (double)obj3.Position.X, (double)obj3.Position.Y });
s23 = (pos3 - pos2) / (2 * obj2.Radius);
d23 = s23.L2Norm();
t23 = (obj3.StartTime - obj2.StartTime) / clockRate / 1000.0;
if (d12 != 0)
{
double tRatio3 = t12 / t23;
if (tRatio3 > tRatioThreshold)
{
if (d23 == 0)
{
correction3 = 0;
}
else
{
double cos123 = Math.Min(Math.Max(-s12.DotProduct(s23) / d12 / d23, -1), 1);
double correction3_moving = correction0MovingSpline.Interpolate(cos123);
double movingness = SpecialFunctions.Logistic(d23 * 6 - 5) - SpecialFunctions.Logistic(-5);
correction3 = (movingness * correction3_moving) * 0.5;
}
}
else if (tRatio3 < 1 / tRatioThreshold)
{
if (d23 == 0)
{
correction3 = 0;
}
else
{
double cos123 = Math.Min(Math.Max(-s12.DotProduct(s23) / d12 / d23, -1), 1);
correction3 = (1 - cos123) * SpecialFunctions.Logistic((d23 * tRatio3 - 1.5) * 4) * 0.15;
}
}
else
{
obj2InTheMiddle = true;
var normalizedPos3 = s23 / t23 * t12;
double x3 = normalizedPos3.DotProduct(s12) / d12;
double y3 = (normalizedPos3 - x3 * s12 / d12).L2Norm();
double correction3Flow = calcCorrection0Or3(d12, x3, y3, k3fInterp, scale3fInterp, coeffs3fInterps);
double correction3Snap = calcCorrection0Or3(d12, x3, y3, k3sInterp, scale3sInterp, coeffs3sInterps);
flowiness123 = SpecialFunctions.Logistic((correction3Snap - correction3Flow - 0.05) * 20);
correction3 = Math.Max(Mean.PowerMean(correction3Flow, correction3Snap, -10) - 0.1, 0) * 0.5;
}
}
}
// Correction #3 - 4-object pattern
// Estimate how the whole pattern consisting of obj0 to obj3 affects
// the difficulty of hitting obj2. This only takes effect when the pattern
// is not so spaced (i.e. does not contain jumps)
double patternCorrection = 0;
if (obj1InTheMiddle && obj2InTheMiddle)
{
double gap = (s12 - s23 / 2 - s01 / 2).L2Norm() / (d12 + 0.1);
patternCorrection = (SpecialFunctions.Logistic((gap - 0.75) * 8) - SpecialFunctions.Logistic(-6)) *
SpecialFunctions.Logistic((d01 - 0.7) * 10) * SpecialFunctions.Logistic((d23 - 0.7) * 10) *
Mean.PowerMean(flowiness012, flowiness123, 2) * 0.6;
//patternCorrection = 0;
}
// Correction #4 - Tap Strain
// Estimate how tap strain affects difficulty
double tapCorrection = 0;
if (d12 > 0 && tapStrain != null)
{
tapCorrection = SpecialFunctions.Logistic((Mean.PowerMean(tapStrain, 2) / IP12 - 1.34) / 0.1) * 0.25;
}
// Correction #5 - Cheesing
// The player might make the movement of obj1 -> obj2 easier by
// hitting obj1 early and obj2 late. Here we estimate the amount of
// cheesing and update MT accordingly.
double timeEarly = 0;
double timeLate = 0;
double cheesabilityEarly = 0;
double cheesabilityLate = 0;
if (d12 > 0)
{
double t01Reciprocal;
double ip01;
if (obj0 != null)
{
t01Reciprocal = 1 / (t01 + 1e-10);
ip01 = FittsLaw.CalculateIP(d01, t01);
}
else
{
t01Reciprocal = 0;
ip01 = 0;
}
cheesabilityEarly = SpecialFunctions.Logistic((ip01 / IP12 - 0.6) * (-15)) * 0.5;
timeEarly = cheesabilityEarly * (1 / (1 / (t12 + 0.07) + t01Reciprocal));
double t23Reciprocal;
double ip23;
if (obj3 != null)
{
t23Reciprocal = 1 / (t23 + 1e-10);
ip23 = FittsLaw.CalculateIP(d23, t23);
}
else
{
t23Reciprocal = 0;
ip23 = 0;
}
cheesabilityLate = SpecialFunctions.Logistic((ip23 / IP12 - 0.6) * (-15)) * 0.5;
timeLate = cheesabilityLate * (1 / (1 / (t12 + 0.07) + t23Reciprocal));
}
// Correction #6 - Small circle bonus
double smallCircleBonus = SpecialFunctions.Logistic((55 - 2 * obj2.Radius) / 3.0) * 0.3;
// Correction #7 - Stacked notes nerf
double stackedThreshold = 0.8;
double d12StackedNerf;
if (d12 < stackedThreshold)
{
d12StackedNerf = Math.Max(1.4 * (d12 - stackedThreshold) + stackedThreshold, 0);
}
else
{
d12StackedNerf = d12;
}
// Apply the corrections
double d12WithCorrection = d12StackedNerf * (1 + smallCircleBonus) * (1 + correction0 + correction3 + patternCorrection) *
(1 + tapCorrection);
movement.D = d12WithCorrection;
movement.MT = t12;
movement.Cheesablility = cheesabilityEarly + cheesabilityLate;
movement.CheesableRatio = (timeEarly + timeLate) / (t12 + 1e-10);
var movementWithNested = new List <OsuMovement>()
{
movement
};
// add zero difficulty movements corresponding to slider ticks/slider ends so combo is reflected properly
int extraNestedCount = obj2.NestedHitObjects.Count - 1;
for (int i = 0; i < extraNestedCount; i++)
{
movementWithNested.Add(GetEmptyMovement(movement.Time));
}
return(movementWithNested);
}
private double NonPerturbative_ITP(
double energy_MeV
)
{
return(AlphaInterpolator.Interpolate(energy_MeV));
}
