diff --git a/include/macros.h b/include/macros.h
deleted file mode 100644
index dc356ba..0000000
--- a/include/macros.h
+++ /dev/null
@@ -1,39 +0,0 @@
-#ifndef __MACROS_H__
-#define __MACROS_H__
-
-
-#define RND(x)  ((x)*((double)rand())/((double)(RAND_MAX+1.0)))
-#define RND_INT(x) ((rand())%(x))
-
-#define sign(a) (a)>0?1:((a)==0?0:-1)
-//#define max(a,b) ((a)>=(b)?(a):(b))
-#define printvec(out,v) for(uint i=0;i<v.size();i++){out<<v[i]<<" ";}
-
-/**
- * samples from a Gaussian pdf. Uses method described p.648 of Zwillinger (2003)
- * @param mean mean of normal distribution
- * @param var variance of normal distribution
- * @return a sample
- */
-inline float norm_sample(float mean, float var){
- float v1,v2,r,x;
-  r=2;
-  while(r>1 || r==0.0){
-    v1 = rand()/((float)RAND_MAX);
-    v1 = 2*v1-1;
-    v2 = rand()/((float)RAND_MAX);
-    v2 = 2*v2-1; 
-   r= v1*v1+v2*v2;
-  }
-  x=v1*sqrtf(-2*log(r)/r);
-  return x*sqrtf(var)+mean;
-}
-
-
-/* inline ostream& operator<<(std::ostream& out, */
-/* 			    const vector<T>& v){ */
-/*   for(int i=0;i<v.size();i++){out<<v[i]<<" ";} */
-/*   return out; */
-/* } */
-
-#endif