#include "noisesimplex.h"

/*
 * Perlin noise implementation.
 *
 * Based on Ken Perlin implementation.
 */

#include <stdlib.h>
#include <math.h>
#include <string.h>

#include <stdlib.h>
#include <stdio.h>
#include <math.h>

#define B 0x100
#define BM 0xff

#define N 0x1000
#define NP 12   /* 2^N */
#define NM 0xfff

static int p[B + B + 2];
static double g3[B + B + 2][3];
static double g2[B + B + 2][2];
static double g1[B + B + 2];

#define s_curve(t) ( t * t * (3. - 2. * t) )

#define lerp(t, a, b) ( a + t * (b - a) )

#define setup(i,b0,b1,r0,r1)\
	t = vec[i] + N;\
	b0 = ((int)t) & BM;\
	b1 = (b0+1) & BM;\
	r0 = t - (int)t;\
	r1 = r0 - 1.;

double noisePerlinGet1DValue(double x)
{
        double vec[1] = {x*2.0};
	int bx0, bx1;
	double rx0, rx1, sx, t, u, v;

	setup(0, bx0,bx1, rx0,rx1);

	sx = s_curve(rx0);

	u = rx0 * g1[ p[ bx0 ] ];
	v = rx1 * g1[ p[ bx1 ] ];

	return lerp(sx, u, v) * 1.068 + 0.5;
}

double noisePerlinGet2DValue(double x, double y)
{
        double vec[2] = {x*2.0, y*2.0};
	int bx0, bx1, by0, by1, b00, b10, b01, b11;
	double rx0, rx1, ry0, ry1, *q, sx, sy, a, b, t, u, v;
	int i, j;

	setup(0, bx0,bx1, rx0,rx1);
	setup(1, by0,by1, ry0,ry1);

	i = p[ bx0 ];
	j = p[ bx1 ];

	b00 = p[ i + by0 ];
	b10 = p[ j + by0 ];
	b01 = p[ i + by1 ];
	b11 = p[ j + by1 ];

	sx = s_curve(rx0);
	sy = s_curve(ry0);

#define at2(rx,ry) ( rx * q[0] + ry * q[1] )

	q = g2[ b00 ] ; u = at2(rx0,ry0);
	q = g2[ b10 ] ; v = at2(rx1,ry0);
	a = lerp(sx, u, v);

	q = g2[ b01 ] ; u = at2(rx0,ry1);
	q = g2[ b11 ] ; v = at2(rx1,ry1);
	b = lerp(sx, u, v);

	return lerp(sy, a, b) * 0.709 + 0.5;
}

double noisePerlinGet3DValue(double x, double y, double z)
{
        double vec[3] = {x*2.0, y*2.0, z*2.0};
	int bx0, bx1, by0, by1, bz0, bz1, b00, b10, b01, b11;
	double rx0, rx1, ry0, ry1, rz0, rz1, *q, sy, sz, a, b, c, d, t, u, v;
	int i, j;

	setup(0, bx0,bx1, rx0,rx1);
	setup(1, by0,by1, ry0,ry1);
	setup(2, bz0,bz1, rz0,rz1);

	i = p[ bx0 ];
	j = p[ bx1 ];

	b00 = p[ i + by0 ];
	b10 = p[ j + by0 ];
	b01 = p[ i + by1 ];
	b11 = p[ j + by1 ];

	t  = s_curve(rx0);
	sy = s_curve(ry0);
	sz = s_curve(rz0);

#define at3(rx,ry,rz) ( rx * q[0] + ry * q[1] + rz * q[2] )

	q = g3[ b00 + bz0 ] ; u = at3(rx0,ry0,rz0);
	q = g3[ b10 + bz0 ] ; v = at3(rx1,ry0,rz0);
	a = lerp(t, u, v);

	q = g3[ b01 + bz0 ] ; u = at3(rx0,ry1,rz0);
	q = g3[ b11 + bz0 ] ; v = at3(rx1,ry1,rz0);
	b = lerp(t, u, v);

	c = lerp(sy, a, b);

	q = g3[ b00 + bz1 ] ; u = at3(rx0,ry0,rz1);
	q = g3[ b10 + bz1 ] ; v = at3(rx1,ry0,rz1);
	a = lerp(t, u, v);

	q = g3[ b01 + bz1 ] ; u = at3(rx0,ry1,rz1);
	q = g3[ b11 + bz1 ] ; v = at3(rx1,ry1,rz1);
	b = lerp(t, u, v);

	d = lerp(sy, a, b);

	return lerp(sz, c, d) * 0.661 + 0.5;
}

static void _normalize2(double v[2])
{
	double s;

	s = sqrt(v[0] * v[0] + v[1] * v[1]);
	v[0] = v[0] / s;
	v[1] = v[1] / s;
}

static void _normalize3(double v[3])
{
	double s;

	s = sqrt(v[0] * v[0] + v[1] * v[1] + v[2] * v[2]);
	v[0] = v[0] / s;
	v[1] = v[1] / s;
	v[2] = v[2] / s;
}

void noisePerlinInit(void)
{
	int i, j, k;

	for (i = 0 ; i < B ; i++) {
		p[i] = i;

		g1[i] = (double)((random() % (B + B)) - B) / B;

		for (j = 0 ; j < 2 ; j++)
			g2[i][j] = (double)((random() % (B + B)) - B) / B;
		_normalize2(g2[i]);

		for (j = 0 ; j < 3 ; j++)
			g3[i][j] = (double)((random() % (B + B)) - B) / B;
		_normalize3(g3[i]);
	}

	while (--i) {
		k = p[i];
		p[i] = p[j = random() % B];
		p[j] = k;
	}

	for (i = 0 ; i < B + 2 ; i++) {
		p[B + i] = p[i];
		g1[B + i] = g1[i];
		for (j = 0 ; j < 2 ; j++)
			g2[B + i][j] = g2[i][j];
		for (j = 0 ; j < 3 ; j++)
			g3[B + i][j] = g3[i][j];
	}
}