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using System;
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namespace isometricparkfna
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{
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public class MathUtils
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{
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public MathUtils()
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{
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}
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public static bool Between(float val, float x, float y)
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{
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return ((x < val && val < y) || (y < val && val < x));
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}
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public static bool Between(int val, int x, int y)
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{
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return ((x < val && val < y) || (y < val && val < x));
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}
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public static int Clamp(int val, int min, int max)
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{
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if(val > max)
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{
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return max;
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}
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else if (val < min)
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{
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return min;
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}
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else
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{
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return val;
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}
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}
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protected float Decrement(float value, float delta)
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{
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float magnitude = Math.Abs(value);
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//If distance from zero is less than our delta,
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//go to zero to prevent overshooting:
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if (magnitude < delta)
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{
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return 0.0f;
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}
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else if (value > 0)
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{
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return value - delta;
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}
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else if (value < 0)
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{
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return value + delta;
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}
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else
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{
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return 0.0f;
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}
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}
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public static System.Collections.Generic.IEnumerable<Double> NextNormalEnumerator(Random random, float mean, float variation)
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{
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while (true) {
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double u1 = random.NextDouble();
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double u2 = random.NextDouble();
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double z1 = Math.Sqrt(-2 * Math.Log(u1)) * Math.Cos(2 * Math.PI * u2);
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double z2 = Math.Sqrt(-2 * Math.Log(u1)) * Math.Sin(2 * Math.PI * u2);
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yield return (variation * z1) + mean;
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yield return (variation * z2) + mean;
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}
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}
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public static Double NextNormal(Random random, float mean, float variation)
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{
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//Uses Box-Muller to scale the default uniform distribution
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double u1 = random.NextDouble();
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double u2 = random.NextDouble();
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double z1 = Math.Sqrt(-2 * Math.Log(u1)) * Math.Cos(2 * Math.PI * u2);
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double z2 = Math.Sqrt(-2 * Math.Log(u1)) * Math.Sin(2 * Math.PI * u2);
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if(random.NextDouble() > 0.5d) {
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return (variation * z1) + mean;
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}
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else {
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return (variation * z2) + mean;
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}
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}
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}
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}
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