private int FindLevelByPosition(Bounds3 bounds)
{
var furthestMax = Functions.MaximumComponent(Functions.Abs(bounds.Maximum));
var furthestMin = Functions.MaximumComponent(Functions.Abs(bounds.Minimum));
return((int)Math.Ceiling(Functions.Log2(Math.Max(furthestMax, furthestMin))));
}
public void TestFunctionAbs()
{
mockSparkContextProxy.Setup(m => m.CreateFunction(It.IsAny <string>(), It.IsAny <IColumnProxy>()));
Column column = GeneratorColum();
Functions.Abs(column);
mockSparkContextProxy.Verify(m => m.CreateFunction("abs", column.ColumnProxy), Times.Once);
}
public static double ChessboardMetric(int x1, int y1, int z1, int x2, int y2, int z2)
{
double x = Functions.Abs(x1 - x2);
double y = Functions.Abs(y1 - y2);
double z = Functions.Abs(z1 - z2);
return(Functions.Max(x, Functions.Max(y, z)));
}
public static double ManhattanMetric(int x1, int y1, int z1, int x2, int y2, int z2)
{
double x = Functions.Abs(x1 - x2);
double y = Functions.Abs(y1 - y2);
double z = Functions.Abs(z1 - z2);
return(x + y + z);
}
public override double Evaluate(double x, double y, double z)
{
double total = 0.0;
double frequency = Frequency;
double amplitude = 1.0;
for (int i = 0; i < Octaves; ++i)
{
total += Functions.Abs(Source.Evaluate(x * frequency, y * frequency, z * frequency) * amplitude);
frequency *= Lacunarity;
amplitude *= Persistance;
}
return(total);
}
/// <summary>
/// Interpolates between two unit quaternions, using spherical linear interpolation.
/// </summary>
/// <param name="start">Start quaternion.</param>
/// <param name="end">End quaternion.</param>
/// <param name="amount">Value between 0 and 1 indicating the weight of <paramref name="end"/>.</param>
/// <returns>The spherical linear interpolation of the two quaternions.</returns>
/// <remarks>
/// Passing <paramref name="amount"/> a value of 0 will cause <paramref name="start"/> to be returned; a value of 1 will cause <paramref name="end"/> to be returned.
/// </remarks>
public static Quaternionf Slerp(Quaternionf start, Quaternionf end, float amount)
{
var cosTheta = Dot(start, end);
//Cannot use slerp, use lerp instead
if (Functions.Abs(cosTheta) - 1 < float.Epsilon)
{
return(Lerp(start, end, amount));
}
var theta = Functions.Acos(cosTheta);
var sinTheta = Functions.Sin(theta);
var t0 = Functions.Sin((1 - amount) * theta) / sinTheta;
var t1 = Functions.Sin(amount * theta) / sinTheta;
return(t0 * start + t1 * end);
}
public override double Evaluate(double x, double y, double z, double w, double v, double u)
{
x *= Frequency;
y *= Frequency;
z *= Frequency;
w *= Frequency;
v *= Frequency;
u *= Frequency;
double value = 0.0;
double weight = 1.0;
double frequency = 1.0;
for (int octave = 0; octave < Octaves; ++octave)
{
// Get the coherent-noise value.
double signal = Source.Evaluate(x, y, z, w, v, u);
// Make the ridges.
signal = Functions.Abs(signal);
signal = Offset - signal;
// Square the signal to increase the sharpness of the ridges.
signal *= signal;
// The weighting from the previous octave is applied to the signal.
// Larger values have higher weights, producing sharp points along the
// ridges.
signal *= weight;
// Weight successive contributions by the previous signal.
weight = Functions.Clamp(signal * Gain, 0.0, 1.0);
double spectralWeight = Functions.Pow(frequency, -Sharpness);
value += (signal * spectralWeight);
x *= Lacunarity;
y *= Lacunarity;
z *= Lacunarity;
w *= Lacunarity;
v *= Lacunarity;
u *= Lacunarity;
frequency *= Lacunarity;
}
return((value * 1.25) - 1.0);
}
/// <summary>
/// Calculates the bounding box of a cubic bezier.
/// </summary>
/// <remarks>
/// https://iquilezles.org/www/articles/bezierbbox/bezierbbox.htm
/// </remarks>
/// <param name="p0"></param>
/// <param name="p1"></param>
/// <param name="p2"></param>
/// <param name="p3"></param>
/// <returns></returns>
public static Bounds3 BoundsCubic(Vector3 p0, Vector3 p1, Vector3 p2, Vector3 p3)
{
// extremes
Vector3 min = Vector3.Minimum(p0, p3);
Vector3 max = Vector3.Maximum(p0, p3);
// note pascal triangle coefficnets
Vector3 c = -1 * p0 + 1 * p1;
Vector3 b = 1 * p0 - 2 * p1 + 1 * p2;
Vector3 a = -1 * p0 + 3 * p1 - 3 * p2 + 1 * p3;
Vector3 h = b * b - a * c;
// real solutions
if (h.X > 0 || h.Y > 0 || h.Z > 0)
{
Vector3 g = Functions.Sqrt(Functions.Abs(h));
Vector3 t1 = Functions.Clamp((-b - g) / a, 0, 1);
Vector3 s1 = Vector3.One - t1;
Vector3 t2 = Functions.Clamp((-b + g) / a, 0, 1);
Vector3 s2 = Vector3.One - t2;
Vector3 q1 = s1 * s1 * s1 * p0 + 3 * s1 * s1 * t1 * p1 + 3 * s1 * t1 * t1 * p2 + t1 * t1 * t1 * p3;
Vector3 q2 = s2 * s2 * s2 * p0 + 3 * s2 * s2 * t2 * p1 + 3 * s2 * t2 * t2 * p2 + t2 * t2 * t2 * p3;
if (h.X > 0.0)
{
min.X = Min(min.X, Min(q1.X, q2.X));
max.X = Max(max.X, Max(q1.X, q2.X));
}
if (h.Y > 0.0)
{
min.Y = Min(min.Y, Min(q1.Y, q2.Y));
max.Y = Max(max.Y, Max(q1.Y, q2.Y));
}
if (h.Z > 0.0)
{
min.Z = Min(min.Z, Min(q1.Z, q2.Z));
max.Z = Max(max.Z, Max(q1.Z, q2.Z));
}
}
return(new Bounds3(min, max));
}
/// <summary>
/// Returns the absolute value (per component).
/// </summary>
/// <param name="value">A point.</param>
/// <returns>The absolute value (per component) of value.</returns>
public static Point2d Abs(Point2d value)
{
return(new Point2d(Functions.Abs(value.X), Functions.Abs(value.Y)));
}
/// <summary>
/// Returns the manhatten distance between two points.
/// </summary>
/// <param name="value1">The first point.</param>
/// <param name="value2">The second point.</param>
/// <returns>The manhatten distance between value1 and value2.</returns>
public static double ManhattenDistance(Point2d value1, Point2d value2)
{
return(Functions.Abs(value2.X - value1.X) + Functions.Abs(value2.Y - value1.Y));
}
/// <summary>
/// Balances the <see cref="ChemicalEquation"/>.
/// </summary>
public void Balance()
{
if (Products.Count != 0 &&
Reactants.Count != 0 &&
!IsBalanced())
{
var elements = GetUniqueElements(Reactants);
var molecules = new List <Tuple <Molecule, int> >();
molecules.AddRange(Reactants);
molecules.AddRange(Products);
var matrix = new Matrix(elements.Count, molecules.Count);
// Populate matrix data with element amounts.
for (var row_index = 0; row_index < matrix.Data.GetLength(0); ++row_index)
{
for (var col_index = 0; col_index < matrix.Data.GetLength(1); ++col_index)
{
var element_match = molecules[col_index].Item1.Elements.Find(element_pair => element_pair.Item1.Equals(elements[row_index].Item1));
if (element_match != null)
{
var product_scalar = (col_index >= Reactants.Count) ? -1 : 1;
var element_coefficient = new Fraction(element_match.Item2);
element_coefficient = Fraction.Multiply(element_coefficient, product_scalar);
matrix.Data[row_index, col_index] = Fraction.Add(matrix.Data[row_index, col_index], element_coefficient);
}
}
}
// Solve the matrix.
var X = Matrix.Submatrix(matrix, new[] { 0, matrix.Data.GetLength(0) - 1 }, new[] { 0, matrix.Data.GetLength(1) - 2 });
var Y = Matrix.Submatrix(matrix, new[] { 0, matrix.Data.GetLength(0) - 1 }, new[] { matrix.Data.GetLength(1) - 1, matrix.Data.GetLength(1) - 1 });
var XtX = Matrix.Multiply(Matrix.Transpose(X), X);
var XtY = Matrix.Multiply(Matrix.Transpose(X), Y);
var solution_mat = Matrix.Multiply(Matrix.Inverse(XtX), XtY);
var molecule_coefficients = new Fraction[molecules.Count];
double LCM = 1.00;
// Create solution vector.
for (var i = 0; i < molecule_coefficients.Length; ++i)
{
if (i < solution_mat.Data.GetLength(0))
{
molecule_coefficients[i] = Functions.Abs(solution_mat.Data[i, 0]);
LCM = Functions.LeastCommonMultiple(molecule_coefficients[i].Denominator, (long)LCM);
}
else
{
molecule_coefficients[i] = new Fraction(1);
}
}
// Normalize values.
for (var i = 0; i < molecule_coefficients.Length; ++i)
{
var multiple = (LCM / molecule_coefficients[i].Denominator);
molecule_coefficients[i] = Math.Fraction.Multiply(molecule_coefficients[i], new Math.Fraction((int)multiple * (int)LCM, (int)multiple), true);
if (i < Reactants.Count)
{
Reactants[i] = Tuple.Create(Reactants[i].Item1, (int)molecule_coefficients[i].Approximate());
}
else
{
Products[System.Math.Abs(Reactants.Count - i)] = Tuple.Create(
Products[System.Math.Abs(Reactants.Count - i)].Item1,
(int)molecule_coefficients[i].Approximate());
}
}
}
}
public override double Evaluate(double t)
{
return(Amplitude * Functions.Abs((Frequency * t + Phase) - Functions.Floor(Frequency * t + Phase)));
}
/// <summary>
/// Returns the manhatten distance between two points.
/// </summary>
/// <param name="value1">The first point.</param>
/// <param name="value2">The second point.</param>
/// <returns>The manhatten distance between value1 and value2.</returns>
public static float ManhattenDistance(Point3f value1, Point3f value2)
{
return(Functions.Abs(value2.X - value1.X) + Functions.Abs(value2.Y - value1.Y) + Functions.Abs(value2.Z - value1.Z));
}
/// <summary>
/// Returns the absolute value (per component).
/// </summary>
/// <param name="value">A point.</param>
/// <returns>The absolute value (per component) of value.</returns>
public static Point3f Abs(Point3f value)
{
return(new Point3f(Functions.Abs(value.X), Functions.Abs(value.Y), Functions.Abs(value.Z)));
}
public override double Evaluate(double x, double y, double z, double w, double v, double u)
{
return(Functions.Pow(Functions.Abs((Source.Evaluate(x, y, z, w, v, u) + 1.0) * 0.5), Exp) * 2.0 - 1.0);
}
public override double Evaluate(double x, double y)
{
return(Functions.Pow(Functions.Abs((Source.Evaluate(x, y) + 1.0) * 0.5), Exp) * 2.0 - 1.0);
}