Looking for a gmic + python scripter to help me out here.

I fixed the code for my own script.

rep_hamiltonian:

repeat $! l[$>]
 if s>1 to_gray. fi
 ge. {avg(im,iM)}

 hyp_img={sqrt(sqr(w)+sqr(h))}
 n={int(sqrt(($hyp_img^2)/2))}
 nn={($n-1)^2}
 npts={sqr($n)}
 npts_n={$npts-$n}
 npts_1={$npts-1}
 
 
 increment={1/$nn}
 incrementValue={-$nn}
 zeroV={4*$nn}
 
 unroll *. $incrementValue
 
 $npts,$npts
 
 $npts,5,1,1,"begin(
  const inc_v="$incrementValue";
  const zv="$zeroV";
  initial_pos_x=[0,0,0,1,"$n"];
  initial_pos_y=["$n",1,0,0,0];
 );
 y==2?(
  i(#-1,x,x)=zv;
 ):(
  pos_x=x+initial_pos_x[y];
  pos_y=x+initial_pos_y[y];
  i(#-1,pos_x,pos_y)=i(#-2,0,x);
 );"
 k..
endl done

I’m still not getting the same result with post-processing made by @grosgood. Everything is suppose to check out. eigen/meigen doesn’t seem to work out.

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