camel-cdr

                         i,j,k,L;
                    #include <time.h>
                 float X,Y,Z,l,t,x,y,z,
               A,S,C;r(X,Y)float*X,*Y;{A
              =*X,S=sin(l),C=cos(l);*X=A*C
            -*Y*S,*Y=A*S+*Y      *C;}main()
           {char*p,s[L=(            W+1)*H];
          printf("\x1b"             "[2J");r
         :p=s;for(i=0;               i<H;++i,
        *p++=10)for(j                 =0;j<W;

camel-cdr

struct list { struct list *list; };

struct list *
list(struct list *list)
{
	list:
	if (list->list && (list = list->list))
		goto list;
	return list;
}

camel-cdr

/*
 * 5.2 Uniform real distribution -----------------------------------------------
 *
 * Generating uniform random floating-point numbers might seem easy at first
 * glance, just cast the output of a PRNG to the desired float type and divide
 * by the biggest possible output of the PRNG to obtain a random float between
 * 0 and 1 that can now be scaled up.
 * Though as before this straightforward approach is biased.
 *
 * For the next part, I assume you are already acquainted with the IEEE 754