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package com.parzivail.util.gen.noise;

import D;
import java.util.Random;

public final class OctaveNoise
{
	private final OpenSimplexNoise[] octaves;
	private final double horizontalFrequency;
	private final double verticalFrequency;
	private final double amplitude;
	private final double lacunarity;
	private final double persistence;
	private final double maxAmplitude;

	public OctaveNoise(int octaves, Random random, double horizontalFrequency, double verticalFrequency, double amplitude, double lacunarity, double persistence)
	{
		this.horizontalFrequency = horizontalFrequency;
		this.verticalFrequency = verticalFrequency;
		this.amplitude = amplitude;
		this.lacunarity = lacunarity;
		this.persistence = persistence;

		this.octaves = new OpenSimplexNoise[octaves];
		for (int i = 0; i < octaves; i++)
			this.octaves[i] = new OpenSimplexNoise(random.nextLong());

		var persistenceRatio = 1 / persistence;
		this.maxAmplitude = (1 - Math.pow(persistenceRatio, octaves)) / (1 - persistenceRatio);
	}

	public double sample(double x, double z)
	{
		return this.sample(x, 0, z);
	}

	public double normalizedSample(double x, double z)
	{
		return this.sample(x, z) / this.maxAmplitude;
	}

	public double sample(double x, double y, double z)
	{
		double sum = 0;

		x /= this.horizontalFrequency;
		y /= this.verticalFrequency;
		z /= this.horizontalFrequency;

		double amplitude = this.amplitude;

		for (OpenSimplexNoise octave : this.octaves)
		{
			sum += octave.sample(x, y, z) * amplitude;

			amplitude /= this.persistence;

			x *= this.lacunarity;
			y *= this.lacunarity;
			z *= this.lacunarity;
		}

		return sum;
	}

	public double normalizedSample(double x, double y, double z)
	{
		return this.sample(x, y, z) / this.maxAmplitude;
	}
}