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package ihl.utils;
public class IHLMathUtils
{
private final static int accuracy_level=65536;
private final static float[] sin_table=new float[accuracy_level];
private final static float[] atan_table=new float[accuracy_level];
private final static float[] sqrt_table=new float[accuracy_level];
private final static float PI=(float)Math.PI;
public static float sin(float angle)
{
float angle1 = angle % (2*PI);
if(angle1<0)
{
angle1+=2*PI;
}
return sin_table[(int)(angle1*accuracy_level/2/PI)];
}
public static float sqrt(float value)
{
float value1 = value;
int multiplier = 2;
while(value1 >= 1.0f)
{
multiplier*=multiplier;
value1 /=multiplier*multiplier;
}
return ((multiplier>2)?multiplier:1)*sqrt_table[(int)(value1*accuracy_level)];
}
public static float atan(float tan_value)
{
if(tan_value<-32f)
{
return -1.54f;
}
else if(tan_value>32f)
{
return 1.54f;
}
else
{
return atan_table[(int)((tan_value+32f)*accuracy_level/64f)];
}
}
public static float[] vector_vector_multiply(float[] v1, float[] v2)
{
float c_x = v1[1]*v2[2] - v2[1]*v1[2];
float c_y = v2[0]*v1[2] - v1[0]*v2[2];
float c_z = v1[0]*v2[1] - v2[0]*v1[1];
return new float[] {c_x,c_y,c_z};
}
public static void normalize_vector(float[] v1)
{
float d = (float)Math.sqrt(v1[0]*v1[0]+v1[1]*v1[1]+v1[2]*v1[2]);
if(d == 0)
{ // Nothing can we do. Create new vector towards up direction.
v1[0]=0;
v1[1]=1;
v1[2]=0;
}
else
{
v1[0]/=d;
v1[1]/=d;
v1[2]/=d;
}
}
public static void scale_vector_to_value(float[] v1, float v2)
{
float d = (float)Math.sqrt(v1[0]*v1[0]+v1[1]*v1[1]+v1[2]*v1[2]);
if(d == 0)
{ // Nothing can we do. Create new vector towards up direction.
v1[0]=0;
v1[1]=v2;
v1[2]=0;
}
else
{
v1[0]=v1[0]*v2/d;
v1[1]=v1[1]*v2/d;
v1[2]=v1[2]*v2/d;
}
}
public static void vector_add(float[] fs, float x, float y, float z) {
fs[0]+=x;
fs[1]+=y;
fs[2]+=z;
}
static
{
for(int i=0;i<accuracy_level;i++)
{
sin_table[i]=(float) Math.sin(2d*Math.PI*i/accuracy_level);
}
for(int i=0;i<accuracy_level;i++)
{
atan_table[i]=(float) Math.atan(-32d+64d*i/accuracy_level);
}
for(int i=0;i<accuracy_level;i++)
{
sqrt_table[i]=(float) Math.sqrt((double)i/accuracy_level);
}
}
public static float[] vector_return_difference(double[] v1, double[] v2) {
return new float[] {
(float)(v1[0]-v2[0]),
(float)(v1[1]-v2[1]),
(float)(v1[2]-v2[2])};
}
public static float[] vector_return_difference(float[] v1, double[] v2) {
return new float[] {
(float)(v1[0]-v2[0]),
(float)(v1[1]-v2[1]),
(float)(v1[2]-v2[2])};
}
public static float[] vector_return_difference(int[] v1, double[] v2) {
return new float[] {
(float)(v1[0]-v2[0]),
(float)(v1[1]-v2[1]),
(float)(v1[2]-v2[2])};
}
public static void multiply_vector_to_value(float[] v1, float v2) {
v1[0]*=v2;
v1[1]*=v2;
v1[2]*=v2;
}
public static void vector_add(double[] v1, float[] v2) {
v1[0]+=v2[0];
v1[1]+=v2[1];
v1[2]+=v2[2];
}
public static float[] get_triangle_normal(double[][] triangle1) {
float[] v1 = vector_return_difference(triangle1[1],triangle1[0]);
float[] v2 = vector_return_difference(triangle1[2],triangle1[0]);
return vector_vector_multiply(v1,v2);
}
}
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