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-rw-r--r--demos/boxes/3rdparty/fbm.c207
1 files changed, 0 insertions, 207 deletions
diff --git a/demos/boxes/3rdparty/fbm.c b/demos/boxes/3rdparty/fbm.c
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index 98eb87a33b..0000000000
--- a/demos/boxes/3rdparty/fbm.c
+++ /dev/null
@@ -1,207 +0,0 @@
-/*****************************************************************
-
- Implementation of the fractional Brownian motion algorithm. These
- functions were originally the work of F. Kenton Musgrave.
- For documentation of the different functions please refer to the
- book:
- "Texturing and modeling: a procedural approach"
- by David S. Ebert et. al.
-
-******************************************************************/
-
-#if defined (_MSC_VER)
-#include <qglobal.h>
-#endif
-
-#include <time.h>
-#include <stdlib.h>
-#include "fbm.h"
-
-#if defined(Q_CC_MSVC)
-#pragma warning(disable:4244)
-#endif
-
-/* Definitions used by the noise2() functions */
-
-//#define B 0x100
-//#define BM 0xff
-#define B 0x20
-#define BM 0x1f
-
-#define N 0x1000
-#define NP 12 /* 2^N */
-#define NM 0xfff
-
-static int p[B + B + 2];
-static float g3[B + B + 2][3];
-static float g2[B + B + 2][2];
-static float g1[B + B + 2];
-static int start = 1;
-
-static void init(void);
-
-#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.;
-#define at3(rx,ry,rz) ( rx * q[0] + ry * q[1] + rz * q[2] )
-
-/* Fractional Brownian Motion function */
-
-double fBm( Vector point, double H, double lacunarity, double octaves,
- int init )
-{
-
- double value, frequency, remainder;
- int i;
- static double exponent_array[10];
- float vec[3];
-
- /* precompute and store spectral weights */
- if ( init ) {
- start = 1;
- srand( time(0) );
- /* seize required memory for exponent_array */
- frequency = 1.0;
- for (i=0; i<=octaves; i++) {
- /* compute weight for each frequency */
- exponent_array[i] = pow( frequency, -H );
- frequency *= lacunarity;
- }
- }
-
- value = 0.0; /* initialize vars to proper values */
- frequency = 1.0;
- vec[0]=point.x;
- vec[1]=point.y;
- vec[2]=point.z;
-
-
- /* inner loop of spectral construction */
- for (i=0; i<octaves; i++) {
- /* value += noise3( vec ) * exponent_array[i];*/
- value += noise3( vec ) * exponent_array[i];
- vec[0] *= lacunarity;
- vec[1] *= lacunarity;
- vec[2] *= lacunarity;
- } /* for */
-
- remainder = octaves - (int)octaves;
- if ( remainder ) /* add in ``octaves'' remainder */
- /* ``i'' and spatial freq. are preset in loop above */
- value += remainder * noise3( vec ) * exponent_array[i];
-
- return( value );
-
-} /* fBm() */
-
-
-float noise3(float vec[3])
-{
- int bx0, bx1, by0, by1, bz0, bz1, b00, b10, b01, b11;
- float rx0, rx1, ry0, ry1, rz0, rz1, *q, sy, sz, a, b, c, d, t, u, v;
- register int i, j;
-
- if (start) {
- start = 0;
- init();
- }
-
- 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);
-
-
- 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);
-}
-
-static void normalize2(float v[2])
-{
- float s;
-
- s = sqrt(v[0] * v[0] + v[1] * v[1]);
- v[0] = v[0] / s;
- v[1] = v[1] / s;
-}
-
-static void normalize3(float v[3])
-{
- float 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;
-}
-
-static void init(void)
-{
- int i, j, k;
-
- for (i = 0 ; i < B ; i++) {
- p[i] = i;
-
- g1[i] = (float)((rand() % (B + B)) - B) / B;
-
- for (j = 0 ; j < 2 ; j++)
- g2[i][j] = (float)((rand() % (B + B)) - B) / B;
- normalize2(g2[i]);
-
- for (j = 0 ; j < 3 ; j++)
- g3[i][j] = (float)((rand() % (B + B)) - B) / B;
- normalize3(g3[i]);
- }
-
- while (--i) {
- k = p[i];
- p[i] = p[j = rand() % 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];
- }
-}