diff --git a/README.md b/README.md
index b5e59f2..16324fa 100644
--- a/README.md
+++ b/README.md
@@ -37,7 +37,6 @@ Given the error model, i.e., the matrices $H=H_x$, $L=L_x$ ($L$ is empty
 for a classical code), the program searches for smallest-weight binary
 `codewords` $c$ such that $Hc=0$, $Lc\neq0$.
 
-
 It repeatedly calculates reduced row echelon form of `H`, with columns
 taken in random order, which uniquely fixes the information set
 (non-pivot columns).  Generally, column permutation and row reduction
@@ -85,25 +84,45 @@ For help, just run `./dist_m4ri -h` or `./dist_m4ri --help`.  This
 shows the following 
 ```sh
 $ ./dist_m4ri --help 
-./dist_m4ri: calculate the minumum distance of a q-LDPC code
-        usage: ./dist_m4ri [arguments [...]]
-Supported parameters:
-        debug=[int]:     bitmap for aux information (3)
-        fin=[string]: base name for input files ("try")
-                 finH->"${try}X.mtx"  finG->"${try}X.mtx"
+./dist_m4ri: distance of a classical or quantum CSS code
+        usage: ./dist_m4ri parameter=value [...]
+
+   Required parameter:
+        method=[int]: bitmap for method used (required, default 0: none):
+                1: random window (RW) algorithm. Options:
+                   steps=[int]: how many information sets to use (1)
+                   wmin=[int]:  minimum distance of interest (1)
+                2: connected cluster (CC) algorithm.  Options:
+                   wmax=[int]:  maximum cluster weight (5)
+                   start=[int]: use only this position to start (-1)
+
+   General parameters:
         finH=[str]: parity check matrix Hx (NULL)
-        finG=[str]: matrix Hz or NULL for classical code (NULL)
-        finL=[str]: matrix Lx or NULL for classical code (NULL)
+        finG=[str]: matrix Hz (quantum CSS code only) (NULL)
+        finL=[str]: matrix Lx (quantum CSS code only) (NULL)
                  Either L=Lx or G=Hz matrix is required for a quantum CSS code
-        css=1: this is a CSS code (the only supported one) (1)
-        seed=[int]: rng seed  [0 for time(NULL)]
-        method=[int]: bitmap for method used:
-                1: random window (RW) algorithm
-                2: connected cluster (CC) algorithm
-        steps=[int]: how many RW decoding cycles to use (1)
-        wmax=[int]: max cluster weight in CC (5)
-        wmin=[int]: min distance of interest in RW (1)
-        -h or --help gives this help
+        fin=[str]:  base name for input files ("try")
+                 set finH->"${fin}X.mtx"  finG->"${fin}Z.mtx"
+        css=[int]:  reserved for future use (1)
+        seed=[int]: rng seed [use 0 for time(NULL)] (0)
+        debug=[int]:     bitmap for aux information to output (3)
+                0: clear the entire debug bitmap to 0.
+                1: output misc general info (on by default)
+                2: output more general info (on by default)
+                4: debug command line arguments parsing
+                8: output progress reports every 1000 steps
+                16: output new min-weight codewords found (cut large vectors)
+                32: output matrices (unless n is large)
+                64: reserved
+                128: reserved
+                256: print out neighbor lists
+                512: print out vectors/syndrome weights during recursion
+                1024: print piv/skip_pivs/reserved
+                2048: allow big matrix / large vector output
+                   see the source code for more options
+          Multiple 'debug' parameters are XOR combined except for 0.
+          Use debug=0 as the 1st argument to suppress all debug messages.
+   -h gives this help (also '--help')
 ```
 
 ## Compilation
diff --git a/examples/c1920H.mmx b/examples/c1920H.mmx
new file mode 100644
index 0000000..e82fe5e
--- /dev/null
+++ b/examples/c1920H.mmx
@@ -0,0 +1,5122 @@
+%%MatrixMarket matrix coordinate integer general
+% H matrix from DEM file (null)
+% converted from 1920.1280.3.303 alist file from David MacKay's collection
+% (https://www.inference.org.uk/mackay/codes/data.html)
+% [1920,640,300] code
+1280 1920 5116
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diff --git a/examples/c204H.mmx b/examples/c204H.mmx
new file mode 100644
index 0000000..b95dc83
--- /dev/null
+++ b/examples/c204H.mmx
@@ -0,0 +1,611 @@
+%%MatrixMarket matrix coordinate integer general
+% converted from 204.33.484 alist file from David MacKay's collection
+% (https://www.inference.org.uk/mackay/codes/data.html)
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diff --git a/examples/c96H.mmx b/examples/c96H.mmx
new file mode 100644
index 0000000..acb7183
--- /dev/null
+++ b/examples/c96H.mmx
@@ -0,0 +1,287 @@
+%%MatrixMarket matrix coordinate integer general
+% converted from 96.3.963 alist file from David MacKay's collection
+% (https://www.inference.org.uk/mackay/codes/data.html)
+% [96,48,6] code
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diff --git a/examples/surf_d3_H.mmx b/examples/surf_d3_H.mmx
new file mode 100644
index 0000000..cb2475f
--- /dev/null
+++ b/examples/surf_d3_H.mmx
@@ -0,0 +1,757 @@
+%%MatrixMarket matrix coordinate integer general
+% H matrix from DEM file ../../vecdec/examples/surf_d3.dem
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diff --git a/examples/surf_d3_L.mmx b/examples/surf_d3_L.mmx
new file mode 100644
index 0000000..a62d395
--- /dev/null
+++ b/examples/surf_d3_L.mmx
@@ -0,0 +1,95 @@
+%%MatrixMarket matrix coordinate integer general
+% L matrix from DEM file ../../vecdec/examples/surf_d3.dem
+1 291 92
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diff --git a/examples/surf_d5_H.mmx b/examples/surf_d5_H.mmx
new file mode 100644
index 0000000..a4f9e20
--- /dev/null
+++ b/examples/surf_d5_H.mmx
@@ -0,0 +1,5827 @@
+%%MatrixMarket matrix coordinate integer general
+% H matrix from DEM file ../../vecdec/examples/surf_d5.dem
+120 1958 5824
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diff --git a/examples/surf_d5_L.mmx b/examples/surf_d5_L.mmx
new file mode 100644
index 0000000..f6c67ce
--- /dev/null
+++ b/examples/surf_d5_L.mmx
@@ -0,0 +1,333 @@
+%%MatrixMarket matrix coordinate integer general
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diff --git a/examples/surf_d7_H.mmx b/examples/surf_d7_H.mmx
new file mode 100644
index 0000000..bdfcdab
--- /dev/null
+++ b/examples/surf_d7_H.mmx
@@ -0,0 +1,17163 @@
+%%MatrixMarket matrix coordinate integer general
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diff --git a/examples/surf_d7_L.mmx b/examples/surf_d7_L.mmx
new file mode 100644
index 0000000..d8157b8
--- /dev/null
+++ b/examples/surf_d7_L.mmx
@@ -0,0 +1,311 @@
+%%MatrixMarket matrix coordinate integer general
+% L matrix from DEM file ../../vecdec/examples/surf_d7.dem
+1 5473 308
+1 3 1
+1 14 1
+1 16 1
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diff --git a/src/dist_cc.c b/src/dist_cc.c
new file mode 100644
index 0000000..c42c8af
--- /dev/null
+++ b/src/dist_cc.c
@@ -0,0 +1,336 @@
+
+/** ********************************************************************** 
+ * @brief distance of a classical or quantum CSS code
+ * 
+ * The program implements two methods:
+ * 1. Random information set (random window) algorithm (upper bound).  
+ *    This works with any code (LDPC or not).
+ * (2) depth-first codeword enumeration (connected cluster) algorithm
+ * (Lower bound or actual distance if a codeword is found.)  
+ * 
+ * A. Dumer, A. A. Kovalev, and L. P. Pryadko "Distance verification..."
+ * in IEEE Trans. Inf. Th., vol. 63, p. 4675 (2017). 
+ * doi: 10.1109/TIT.2017.2690381
+ *
+ * author: Leonid Pryadko <leonid.pryadko@ucr.edu>, Weilei Zeng
+ ************************************************************************/
+// #include <m4ri/config.h>
+#include <inttypes.h>
+#include <strings.h>
+#include <stdlib.h>
+#include <time.h>
+#include <m4ri/m4ri.h>
+
+#include "mmio.h"
+#include "util_m4ri.h"
+#include "util_io.h"
+//#include "dist_m4ri.h"
+// #include "util.h"
+
+typedef struct ONE_VEC_T{
+  int wei; /** current weight */
+  int max; /** allocated */
+  int vec[0];
+} one_vec_t;
+
+/** @brief print entire `one_vec_t` structure by pointer */
+void one_vec_print(const one_vec_t * const pvec){
+  printf(" w=%d [ ",pvec->wei);
+  for(int i=0; i < pvec->wei; i++)
+    printf("%d ",pvec->vec[i]);
+  printf("]\n");
+}
+
+
+// v1[:] = v0[:] + mat[row,:]
+static inline int one_csr_row_combine(one_vec_t * const v1, const one_vec_t * const v0,
+				  const csr_t * const mat, const int row){
+#ifndef NDEBUG
+  if ((!v1) || (!v0) || (!mat))
+    ERROR("all arguments must be allocated: v1=%p v0=%p mat=%p\n",v1,v0,mat);
+  if(v1 == v0)
+    ERROR("the two vectors should not be the same !");
+  if((row<0) || (row >= mat->rows) ||
+     (v1->max < mat->cols) ||
+     (v0->max < mat->cols))
+    ERROR("this should not happen\n");
+#endif
+  int iM, i0=0, i1=0; /** iterators */
+  for (iM = mat->p[row]; iM < mat->p[row+1]; iM++){
+    const int ic = mat->i[iM];
+    while((i0 < v0->wei) && (v0->vec[i0] < ic))
+      v1->vec[i1++] = v0->vec[i0++];
+    if(i0 >= v0->wei)
+      break;
+    if(v0->vec[i0]==ic)
+      i0++; /** `1+1=0` just skip this position */
+    else
+      v1->vec[i1++] = ic;
+  }
+  if(i0 >= v0->wei) /** remaining `mat[row]` entries */
+    for (                      ; iM < mat->p[row+1]; iM++){
+      const int ic = mat->i[iM];
+      v1->vec[i1++] = ic;
+    }
+  else /** remaining `v0` entries */
+    while(i0 < v0->wei)
+      v1->vec[i1++] = v0->vec[i0++];
+  
+  v1->wei = i1;
+  return i1; /** weith of the out vector */
+}
+
+/** @brief insert `j` (originally absent) into ordered array, return position */
+static inline int one_ordered_ins(one_vec_t * const err, const int j){
+  int pos=err->wei-1;
+  while(j < err->vec[pos]){
+    err->vec[pos+1] = err->vec[pos];
+    pos--;
+  }
+#ifndef NDEBUG  
+  if (j == err->vec[pos]) 
+    ERROR("Unexpected! vec[%d]=%d is already present!",pos,j);
+#endif   
+  err->vec[pos+1]=j;
+#ifndef NDEBUG
+  if(err->wei >= err->max)
+    ERROR("unexpected!"); /** before increment */
+  for(int i=0; i < err->wei; i++)
+    if(err->vec[i] >= err->vec[i+1]){
+      printf("check ordering at i=%d! ",i); /** before increment */
+      one_vec_print(err);
+      ERROR("unexpected");
+    }
+#endif   
+  err->wei ++;
+  return pos+1;
+}
+
+
+/** @brief find `val` in ordered array 
+ *  @return position of `val` if found, -1 otherwise 
+*/
+static inline int one_ordered_search(one_vec_t * const err, const int val){
+  /** binary search for pos of `val` */
+  int bot=0, top=err->wei , mid=0;
+#ifndef NDEBUG  
+  if (!top)
+    return -1;
+#endif   
+  while(top - bot > 1){
+    mid = (top+bot) >> 1;
+#ifndef NDEBUG  
+  if (mid>=err->wei)
+    ERROR("this should not happen");
+#endif   
+    if (err->vec[mid] <= val)
+      bot = mid;
+    else
+      top = mid;
+    //    printf("bot=%d mid=%d top=%d err->vec[mid]=%d val=%d\n",bot,mid,top,err->vec[mid],val);
+  }
+  if ( err->vec[bot] == val)
+    return bot;
+  else
+    return -1;
+} 
+
+/** @brief delete `val` (if originally present) from ordered array 
+ *  @return 1 of `val` was found, 0 otherwise 
+*/
+static inline int one_ordered_find_del(one_vec_t * const err, const int val){
+  /** binary search for pos of `j` */
+  int bot=0, top=err->wei, mid=0;
+#ifndef NDEBUG  
+  if (!top)
+    return 0;
+#endif   
+  while(top - bot > 1){
+    mid = (top+bot) >> 1;
+    if (err->vec[mid] <= val)
+      bot = mid;
+    else
+      top = mid;
+  }
+  if ( err->vec[mid] != val)
+    return 0;
+    //    ERROR("unexpected! value val=%d not found",val);
+  
+  for(int i=mid; i < err->wei; i++)
+      err->vec[i] = err->vec[i+1];
+  err->wei --;
+  return 1;
+}
+
+
+/** @brief delete `val` in known position `pos` from ordered array */
+static inline void one_ordered_pos_del(one_vec_t * const err, _maybe_unused const int val, const int pos){
+#ifndef NDEBUG
+  if ((pos<0) || (pos >= err->wei) || (err->wei == 0) || (err->vec[pos] != val))
+    ERROR("this should not happen!");
+#endif
+  err->wei --; 
+  for(int i=pos; i < err->wei; i++)
+      err->vec[i] = err->vec[i+1];
+}
+
+/** @brief recursively construct codewords 
+ * 
+ * @param err error vector with sorted components 
+ * @param urr unsorted vector so far 
+ * @param syn array of syndrome vectors with sorted components (indexed by weight of error)
+ */
+int start_CC_recurs(one_vec_t *err, one_vec_t *urr, one_vec_t * const syn[],
+		    const int wmax, const int max_col_wt, 
+		    const csr_t * const mH, const csr_t * const mHT, const csr_t * const mL,
+		    const int debug){
+  const int w=err->wei;
+  int row = syn[w]->vec[0]; /** row with the first non-zero syndrome bit */
+#ifndef NDEBUG  
+  if(debug&64){
+    printf("starting CC recurs w=%d row=%d:\n urr: ",w,row);
+    one_vec_print(urr);
+    printf(" err: ");
+    one_vec_print(err);
+    for(int i=0; i <= w; i++){
+      printf("i=%d ",i);
+      one_vec_print(syn[i]);
+    }
+  }
+#endif   
+  const int col_min=urr->vec[0]; /** all valid positions should be to the right of here */
+  for(int i1 = mH->p[row]; i1 < mH->p[row+1]; i1++){
+    const int col = mH->i[i1];
+    if(col > col_min){
+      int pos = one_ordered_search(err, col);
+      if(pos == -1){ /** not there */
+	urr->vec[w] = col;
+	urr->wei++;
+#ifndef NDEBUG
+	if(debug&64){
+	  printf(" pos=%d urr: ",pos);
+	  one_vec_print(urr);
+	}
+#endif 	
+	pos = one_ordered_ins(err,col);
+	int swei = one_csr_row_combine(syn[w+1],syn[w], mHT, col);
+	int result = 0;
+	if (err->wei < wmax){
+	  if (swei){ /** go up */
+	    if(swei <= (wmax - err->wei)*max_col_wt){ /** reachable goal? */
+	      result = start_CC_recurs(err,urr,syn,wmax,max_col_wt,mH,mHT,mL,debug);
+	      if(result == 1)
+		return 1;
+	    }
+	  }
+	  // swei == 0 means it is a degenerate vector
+	}
+	else{ // wei == wmax
+	  if(!swei){
+	    if((!mL) ||  /** classical code */
+	       (sparse_syndrome_non_zero(mL, err->wei, err->vec))){
+	      if(debug&32){
+		printf("swei=%d *** success ***\n",swei);
+		one_vec_print(syn[w+1]);
+	      }
+	      return 1; /** success, just get out fast */
+	    }
+	  }
+	}
+	urr->wei--;
+	one_ordered_pos_del(err,col,pos);
+	if(debug&32){
+	  printf("xerr: ");
+	  one_vec_print(err);
+	}
+      }
+    }
+  }
+  if(debug&32)
+    printf("exiting CC recurs\n\n");
+  return 0; /** nothing found */
+}
+
+//! rewrite of the cluster method function using only sparse matrices
+//! try recursive version first 
+int do_CC_dist(const csr_t * const mH, const csr_t * mL,
+	   const int wmax, const int start, const int debug){
+
+  const int nchk = mH->rows, nvar = mH->cols;
+  if((start<-1) || (start>=nvar))
+    ERROR("invalid start=%d for H[%d,%d]\n",start, nchk, nvar);
+
+  csr_t * const mHT = csr_transpose(NULL,mH);
+  if(debug&32){
+    if((mHT->cols<150)||(debug&2048))
+      csr_print(mHT,"HT");
+  }
+  int max_col_W = csr_max_row_wght(mHT);
+  
+  one_vec_t *err = calloc(1, sizeof(one_vec_t)+sizeof(int)*wmax);  
+  one_vec_t *urr = calloc(1, sizeof(one_vec_t)+sizeof(int)*wmax);  
+  one_vec_t **syn = calloc(wmax+1, sizeof(one_vec_t *));
+  if((!syn) || (!err) || (!urr))
+    ERROR("memory allocation");
+  err->max = wmax;
+  for(int i=0; i <= wmax; i++){
+    syn[i]=calloc(1, sizeof(one_vec_t)+sizeof(int)*mH->rows);
+    if(!syn[i]) ERROR("i=%d memory allocation",i);
+    syn[i]->max = mH->rows;    
+  }
+  int result = 0;
+  for(int w=1; w <= wmax; w++){ /* cluster weight */
+    int beg = 0, end = nvar - wmax ;
+    if (start >= 0)
+      beg = end = start;
+    if(debug&2)
+      printf("# recursively searching for w=%d codewords wmax=%d beg=%d end=%d\n",w,wmax,beg,end);
+    for(int i = beg; i <= end; i++){ /* start column position */
+      /** prepare the 1st error vector and the syndrome */
+      err->vec[0] = urr->vec[0] = i;
+      err->wei = urr->wei = 1;
+      int swei = one_csr_row_combine(syn[1], syn[0], mHT, i);
+      if (1<w){
+	if (swei){ /** go up */
+	  result = start_CC_recurs(err,urr,syn,w,max_col_W,mH,mHT,mL,debug);
+	  if(result == 1)
+	    break;
+	}
+      }
+      else{ // w==1
+	if(!swei){	/** verify the vector */
+	  if((!mL) ||  /** classical code */
+	     (sparse_syndrome_non_zero(mL, err->wei, err->vec))){
+	    result = 1; /** success */
+	    break;
+	  }
+	}
+      }
+      err->wei = urr->wei = 0;
+    }
+    if(result == 1)
+      break;
+  }
+  
+  if(result==1){
+    result = err->wei; /** codeword weight found */
+    if(debug&16){
+      printf("# wmax=%d found cw of weight %d: [",wmax,result);
+      int max = ((result<50) || (debug&2048)) ? result : 50 ;
+      for(int i=0; i< max; i++)
+	printf("%d%s",err->vec[i], i+1!=max?" ": (result==max ? "]\n" : "...]\n"));
+    }
+  }
+  else
+    result = -wmax; /** not found a codeword up to wmax */
+
+  for(int i=0; i<= wmax; i++)
+    free(syn[i]);
+  free(syn);
+  free(err);
+  free(urr);
+  csr_free(mHT);
+  return result;
+}
+
+
diff --git a/src/dist_m4ri.c b/src/dist_m4ri.c
index 6849085..798c0c1 100644
--- a/src/dist_m4ri.c
+++ b/src/dist_m4ri.c
@@ -1,15 +1,18 @@
 
-/************************************************************************ 
- * calculate distance of a quantum LDPC code using 
- * (1) random information set (random window) algorithm (upper bound)
- * (2) depth-first codeword enumeration (cluster) algorithm (lower bound)
+/** ********************************************************************** 
+ * @brief distance of a classical or quantum CSS code
+ * 
+ * The program implements two methods:
+ * 1. Random information set (random window) algorithm (upper bound).  
+ *    This works with any code (LDPC or not).
+ * (2) depth-first codeword enumeration (connected cluster) algorithm
+ * (Lower bound or actual distance if a codeword is found.)  
+ * 
  * A. Dumer, A. A. Kovalev, and L. P. Pryadko "Distance verification..."
  * in IEEE Trans. Inf. Th., vol. 63, p. 4675 (2017). 
  * doi: 10.1109/TIT.2017.2690381
  *
- * currently: CSS only 
- *
- * author: Leonid Pryadko <leonid.pryadko@ucr.edu>
+ * author: Leonid Pryadko <leonid.pryadko@ucr.edu>, Weilei Zeng
  ************************************************************************/
 // #include <m4ri/config.h>
 #include <inttypes.h>
@@ -22,197 +25,50 @@
 #include "util_m4ri.h"
 #include "util_io.h"
 #include "dist_m4ri.h"
-// #include "util.h"
-
-/** 
- * Add row=i of sparse matrix spaQ to row.
- * no range check is done 
- */ 
-static inline void addto_inline(mzd_t *row, const csr_t *spaQ, const int i){
-#ifndef NDEBUG  
-  if (i>=spaQ->rows)
-    ERROR("addto: attempt to get row=%d of %d",i,spaQ->rows);
-  if (row->ncols != spaQ->cols)
-    ERROR("addto: column number mismatch");
-  //  mzd_print(row);
-#endif
-  for (int j=spaQ->p[i]; j<spaQ->p[i+1]; j++)
-    mzd_flip_bit(row, 0,spaQ->i[j]); /* flip that bit */
-}
-
-/** 
- * given current value bits and syndrome bits, see which bits in the
- * vicinity of the check z0 can be flipped to make it happy.
- * Return number of entries to process (length of nei) 
- *  input: z0 is the row of P to check 
- *  nei: neighborhood vector to construct 
- *  v: value bits 
- *  s: syndrome bits 
- *  P: LDPC parity check (with row weight <= maxrow )
- */
-
-static inline int prep_neis(const int z0, int * nei, const mzd_t * v, _maybe_unused const mzd_t * s, const csr_t * P){ 
-  int cnt=0, max=P->p[z0+1];
-  for (int j=P->p[z0]; j<max; j++){
-    if (!mzd_read_bit(v,0,P->i[j])) /* never flip a bit twice */
-      nei[cnt++]=P->i[j]; 
-  }
-#ifndef NDEBUG
-  //  if(prm.debug&256){
-    printf("nei=[");
-    for(int i=0; i< cnt; i++)
-      printf(" %d ",nei[i]);
-    printf("]\n");
-    //  }
-#endif 
-  return cnt;
-}
-
-/** recursive function. 
- *  return: -1: fail; 0: success; 1: immediate termination 
- *  input: 
- * 	w=current recursion level
- * 	wmax = max recursion level 
- *      v,s: current value and syndrome bit vectors 
- * 	P, PT, G: matrices as in do_dist_clus
- */
-static int start_rec(const int w, const int wmax, mzd_t * v, mzd_t * s,
-		     const csr_t * const P, const csr_t * const PT, const mzd_t * const G, const int rankG){
-  int res=0, all_zero=1;
-  mzd_t *v0=NULL;
-  word * rawrow = s->rows[0];  
-  rci_t ns=v->ncols;
-#ifndef NDEBUG  
-  //  if(prm.debug & 512){
-    printf("w=%d wgh(Pv)=%d  \nv=",w,syndrome_bit_count(v, P));
-    mzd_print(v);
-    printf("s=");  mzd_print(s);
-    //  }
-#endif
-    
-  for(rci_t i=-1 ; i+1< ns ; ){
-    i=nextelement(rawrow,s->width,i+1);
-    if (i<0)
-      break; /* no more non-zero syndrome bits */
-    else if(i<ns){ /* found a syndrome to fix */
-      if(w>=wmax)
-	return -1; /* failed to find a cluster */
-      all_zero=0;
-      int nei[maxrow];
-      int neisize=prep_neis(i,nei,v,s,P);
-      //      cout << " row="<< i<< " nei=" << nei<< endl;
-      //      if(neisize==0) ERROR("neisize=0");  /* this is actually OK: just continue */
-      for(int p=0; p< neisize; p++){
-	int j=nei[p];
-	mzd_write_bit(v,0,j,1); 
-	addto_inline(s,PT,j); 
-	res=start_rec(w+1,wmax,v,s,P,PT,G, rankG);
-	if(res==1)
-	  return 1; /* just get out fast */
-	addto_inline(s,PT,j); 
-	mzd_write_bit(v,0,j,0);  /* clean up */
-	//	printf("s=");	mzd_print(s);
-      }      
-    }
-    else break;
-  }
-  //  printf("done with w=%d all_zero=%d\n",w,all_zero);
-  if(all_zero){ // syndrome vector was zero
-    if(G){ /** quantum code */
-    //    cout<< "found v="<< v<< endl;
-    v0=mzd_copy(v0,v);
-    int result=do_reduce(v0,G,rankG);
-    if (result==-1)  
-      return -1; /* go back down, the found row was trivial */
-#ifndef NDEBUG    
-    if (((int)mzd_weight(v)!=wmax)||(0!=syndrome_bit_count(v, P)))
-      ERROR(" start_rec: something is wrong %zu != wmax=%d ",mzd_weight(v),wmax);
-#endif
-    }
-    return 1; /* success */
-  }
-  return 0; /* keep going */
-}
-
-/** @brief lower bound on the minimum distance by cluster enumeration
- * 
- * WARNING: only intended for LDPC codes
- */
-int do_dist_clus(const csr_t * const P, const mzd_t * const G, int debug, int wmax, int start, const int rankG){
-  // input: wmax=max cluster weight,
-  // start=initial position (-1 to scan all),
-  // P:  LDPC parity check 
-  // PT:  LDPC parity check *** TRANSPOSED ***
-  // G: systematic form of the dual generator
-  // these must be orthogonal (no check)
-
-  int nc=P->cols, ns=P->rows;
-  csr_t* PT=csr_transpose(NULL,P); 
-  //  csr_out(spaG0T);
-
-  mzd_t *v=mzd_init(1,nc), *s=mzd_init(1,ns);
-  for(int w=2;w<=wmax;w++){ // cluster weight loop 
-    if (debug&8)
-      printf( "# starting w=%d\n", w);
-    int beg=0, end=nc-w-1; 
-    if (start>=0)
-      beg=end=start; 
-    for(int i=beg;i<=end;i++){ // starting bit loop 
-      if ((debug&8)&&(w==wmax))
-	printf( "# w=%d start=%d\n", w,i);
-      mzd_set_ui(v,0);
-      mzd_set_ui(s,0); 
-      mzd_write_bit(v,0,i,1);      
-      //      printf("v="); mzd_print(v);
-      addto_inline(s,PT,i); //  s+=col[i];
-      //      printf("s=");  mzd_print(s);
-      int done=start_rec(1,w,v,s,P,PT,G,rankG);
-      if(done==1){
-	//	cout << "distance="<< weight(v)<< endl;
-	//	cout << "prod="<< P.get_H()*v<< endl;
-	csr_free(PT);
-	mzd_free(v);
-	return w;
-      }
-    }
-  }
-  csr_free(PT);  
-  mzd_free(v);
-  return -wmax; /* failed up to wmax */
-}
-
 
 /** @brief prepare an ordered pivot-skip list of length `n-rank` */
-mzp_t * do_skip_pivs(const size_t rank, const mzp_t * const pivs){
+mzp_t * do_skip_pivs(mzp_t * ans, const int rank, const mzp_t * const pivs){
   const rci_t n=pivs->length;
-  rci_t j1=rank; /** position to insert the next result */
-  mzp_t * ans = mzp_copy(NULL,pivs);
-  qsort(ans->values, rank, sizeof(pivs->values[0]), cmp_rci_t);
-
-  for(rci_t j=0; j<n; j++){
-    if(!bsearch(&j, ans->values, rank, sizeof(ans->values[0]), cmp_rci_t)){
-      ans->values[j1++]=j;
-    }
+  int *arr=calloc(rank,sizeof(int));
+  if(!arr)
+    ERROR("memory allocation");
+  for(int i=0; i< rank; i++)
+    arr[i] = pivs->values[i];
+  qsort(arr, rank, sizeof(arr[0]), cmp_rci_t);
+  if((ans) && (ans->length != n-rank)){
+    mzp_free(ans);
+    ans=NULL;
   }
-  assert(j1==n);
-
-  int j=rank;
-  for(size_t i=0; j<n; j++)
-    ans->values[i++] = ans->values[j];
-  ans->length = n-rank;
+  if (!ans)
+    ans=mzp_init(n-rank);
+
+  rci_t j=0, j1=0; /** position to insert the next result */
+  for(rci_t i1=0; i1 < rank; i1++, j++){    
+    const rci_t piv=arr[i1];
+    while(j<piv)
+      ans->values[j1++] = j++;    
+  }
+  while(j<n)
+    ans->values[j1++] = j++;
+  assert(j1==n-rank);
 
-  if(prm.debug & 8){/** in skip_pivs */
+#ifndef NDEBUG
+  if(prm.debug&1024){/** in skip_pivs */
+    printf("orig pivs of len=%d, rank=%d: ",pivs->length, rank);
+    for(int i=0; i< rank; i++)
+      printf(" %d%s",pivs->values[i],i+1 == rank ?"\n":"");
+    printf("srtd pivs of len=%d:          ", rank);
+    for(int i=0; i< rank; i++)
+      printf(" %d%s",arr[i],i+1 == rank ?"\n":"");
     printf("skip_pivs of len=%d: ",ans->length);
     for(int i=0; i< ans->length; i++)
       printf(" %d%s",ans->values[i],i+1 == ans->length ?"\n":"");
-    printf("pivs of len=%d, rank=%zu: ",pivs->length, rank);
-    for(size_t i=0; i< rank; i++)
-      printf(" %d%s",pivs->values[i],i+1 == rank ?"\n":"");
   }
+#endif
+  free(arr);
   return ans;
 }
 
-
 /** @brief Random Information Set search for small-E logical operators.
  *
  * @param dW weight increment from the minimum found
@@ -221,7 +77,7 @@ mzp_t * do_skip_pivs(const size_t rank, const mzp_t * const pivs){
  * @return minimum `weight` of a CW found (or `-weigt` if early termination condition is reached). 
  */
 int do_RW_dist(const csr_t * const spaH0, const csr_t * const spaL0,
-	       const int steps, const int wmin, const int classical, const int swait, const int debug){
+	       const int steps, const int wmin, const int classical, const int debug){
   /** whether to verify logical ops as a vector or individually */
   const int nvar = spaH0->cols;
   if(((!classical)&&(spaL0==NULL)) ||
@@ -232,24 +88,25 @@ int do_RW_dist(const csr_t * const spaH0, const csr_t * const spaL0,
 
   int minW=nvar+1;
 
-  if(debug&16)
-    printf("running do_RW_dist() with steps=%d wmin=%d classical=%d swait=%d nvar=%d\n",steps, wmin, classical, swait, nvar);
+  if(debug&2)
+    printf("# running do_RW_dist() with steps=%d wmin=%d classical=%d nvar=%d\n",
+	   steps, wmin, classical, nvar);
   
   mzd_t * mH = mzd_from_csr(NULL, spaH0);
-  //  mzd_t *mLt = NULL, *eemLt = NULL; //, *mL = NULL;
-  rci_t *ee = malloc(nvar*sizeof(rci_t)); /** actual `vector` */
+  mzd_t *mHT = NULL;
+  mzp_t * skip_pivs = NULL;
+  /** actual `vector` in sparse form */
+  rci_t *ee = malloc(nvar*sizeof(rci_t)); 
   
   if((!mH) || (!ee))
     ERROR("memory allocation failed!\n");
-  //  if(p->debug & 16)  mzd_print(mH);
-  /** 1. Construct random column permutation P */
 
+  /** 1. Construct random column permutation P */
   mzp_t * perm=mzp_init(nvar); /** identity column permutation */
   mzp_t * pivs=mzp_init(nvar); /** list of pivot columns */
   if((!pivs) || (!perm))
     ERROR("memory allocation failed!\n");
 
-  int iwait=0, ichanged=0;
   for (int ii=0; ii< steps; ii++){
     pivs=mzp_rand(pivs); /** random pivots LAPAC-style */
     mzp_set_ui(perm,1);
@@ -263,9 +120,16 @@ int do_RW_dist(const csr_t * const spaH0, const csr_t * const spaL0,
       if(ret)
         pivs->values[rank++]=col;
     }
-    /** construct skip-pivot permutation */
-    mzp_t * skip_pivs = do_skip_pivs(rank, pivs);
 
+    /** construct skip-pivot permutation */
+    skip_pivs = do_skip_pivs(skip_pivs, rank, pivs);
+#ifndef NEW
+# define NEW 1
+#endif 
+#if (NEW==1)
+    /** it is a bit faster to transpose `mH` first. */
+    mHT = mzd_transpose(mHT,mH);
+#endif     
     /** calculate sparse version of each vector (list of positions)
      *  `p`    `p``p`               # pivot columns marked with `p`   
      *  [1  a1        b1 ] ->  [a1  1  a2 a3 0 ]
@@ -276,15 +140,54 @@ int do_RW_dist(const csr_t * const spaH0, const csr_t * const spaL0,
     for (int ir=0; ir< k; ir++){ /** each row in the dual matrix */
       int cnt=0; /** how many non-zero elements */
       const int col = ee[cnt++] = skip_pivs->values[ir];
+#if (NEW==0) /** older version going over columns of `H` */
       for(int ix=0; ix<rank; ix++){
         if(mzd_read_bit(mH,ix,col))
           ee[cnt++] = pivs->values[ix];
-	if (cnt >= minW)
+	if (cnt >= minW) /** `cw` of no interest */
+	  break;
+      }
+#elif (NEW==2) /** 
+		   function `mzd_find_pivot()` walks over columns
+		   one-by-one to find a non-zero bit.  Returns `1` if
+		   a non-zero bit was found.
+		   WARNING: this is the slowest option!!!
+	       */
+      rci_t ic=col, ix=0;
+      while (ix < rank){
+	int res = mzd_find_pivot(mH, ix, col, &ix, &ic);
+	if((res)&&(ic==col)){
+	  ee[cnt++] = pivs->values[ix++];
+	  //	  printf("cnt=%d j=%d\n",cnt,ix); 
+	  if (cnt >= minW) /** `cw` of no interest */
+	    break;
+	}
+	else
 	  break;
       }
-      if(cnt < minW){
+#else /** NEW, use transposed `H` -- the `fastest` version of the code*/
+      word * rawrow = mHT->rows[col];  
+      rci_t j=-1;
+      while(cnt < minW){/** `cw` of no interest */
+	j=nextelement(rawrow,mHT->width,j);
+	if(j==-1) // empty line after simplification
+	  break; 
+	//	printf("cnt=%d j=%d\n",cnt,j);
+	ee[cnt++] = pivs->values[j++];
+      }
+#endif /* NEW */              
+      if (cnt < minW){
 	/** sort the column indices */
 	qsort(ee, cnt, sizeof(rci_t), cmp_rci_t);
+#ifndef NDEBUG
+	/** expensive: verify orthogonality */
+	if(sparse_syndrome_non_zero(spaH0, cnt, ee)){
+	  printf("# cw of weight %d: [",cnt);
+	  for(int i=0; i<cnt;i++)
+	    printf("%d%s",ee[i],i+1==cnt?" ":"]\n");
+	  ERROR("this should not happen: cw not orthogonal to H");
+	}
+#endif /* NDEBUG */
       
 	/** verify logical operator */
 	int nz;
@@ -294,28 +197,23 @@ int do_RW_dist(const csr_t * const spaH0, const csr_t * const spaL0,
 	  nz = sparse_syndrome_non_zero(spaL0, cnt, ee);	
 	if(nz){ /** we got non-trivial codeword! */
 	  /** TODO: try local search to `lerr` (if 2 or larger) */
-	  /** calculate the energy and compare */
-	  /** at this point we have `cnt` codeword indices in `ee`, and its `energ` */
-	  //        if (cnt < minW){
+	  /** at this point we have `cnt` codeword indices in `ee` */
+	  if(debug&16){
+	    printf("# step=%d row=%d minW=%d found cw of W=%d: [",ii,ir,minW,cnt);
+	    int max = ((cnt<25) || (debug&2048)) ?  cnt : 25 ;
+	    for(int i=0; i< max; i++)
+	      printf("%d%s", ee[i], i+1!=max?" ": (cnt==max ? "]\n" : "...]\n"));
+	  }
 	  minW=cnt;
 	  if (minW <= wmin){ /** early termination condition */
-	    minW = - minW; /** this distance value is of little interest; */
+	    minW = - minW;   /** this distance value is of little interest; */
 	  }
 	}
-      }
+      }      
     } /** end of the dual matrix rows loop */
-    if(debug & 16)
-      printf(" round=%d of %d minW=%d ichanged=%d iwait=%d\n",
-	     ii+1, steps, minW, ichanged, iwait);
-    
-    mzp_free(skip_pivs);
-    
-    iwait = ichanged > 0 ? 0 : iwait+1 ;
-    ichanged=0;
-    if((swait > 0)&&(iwait > swait)){
-      if(debug & 16)
-        printf("  iwait=%d >swait=%d, terminating after %d steps\n", iwait, swait, ii+1);
-      break;
+    if(debug&8){
+      if(ii%1000==999)
+	printf("# round=%d of %d minW=%d\n", ii+1, steps, minW);
     }
     
   }/** end of `steps` random window */
@@ -323,151 +221,36 @@ int do_RW_dist(const csr_t * const spaH0, const csr_t * const spaL0,
   //alldone: /** early termination label */
 
   /** clean up */
+  if(skip_pivs)
+    mzp_free(skip_pivs);
   mzp_free(perm);
   mzp_free(pivs);
   free(ee);
-
+  if(mHT)
+    mzd_free(mHT);
   mzd_free(mH);
   
   return minW;
 }
 
 
-int do_dist_rnd(csr_t *spaG0, mzd_t *matP0, int debug,int steps, int wmin){
-  rci_t n = spaG0-> cols;
-
-  mzd_t *matG0perp=NULL;
-  int weimin=n, rt=0;  
-  csr_t *spaG1=NULL;
-  mzp_t *piv1=mzp_init(n), *q1=mzp_init(n);
-
-  for (int ii=0; ii < steps ; ii++){ /* random window decoding loop */
-    mzp_rand(piv1); /* random permutation in terms of pivots */
-    mzp_set_ui(q1,1); q1=perm_p_trans(q1,piv1,0);    /* corresponding permutation */
-    spaG1=csr_apply_perm(spaG1,spaG0,q1);     /* G with permuted cols */
-    matG0perp=mzd_generator_from_csr(matG0perp,spaG1);
-    mzd_apply_p_right(matG0perp, piv1); // permute cols back to order in G0
-    //    mzd_info(matG0perp,0);
-    // generator matrix dual to G0
-    if((debug & 1)&&(ii==0))
-      printf("# rankG=%d\n",matG0perp->nrows);
-    if (((debug &512)||(debug & 2048)) ){
-      if (debug & 2048) printf("current G\n");
-      mzd_t *matG0=mzd_from_csr(NULL,spaG0);
-      if ((debug & 2048) && (n<=150)){
-	mzd_print(matG0); 
-	printf("current Gperp=\n");
-	mzd_print(matG0perp);
-	printf(" G*Gperp_T=\n");
-      }
-      mzd_t *prod1;
-      //      mzd_info(prod1,0);
-      //      mzd_info(matG0,0);
-      //      mzd_info(matG0perp,0);
-      mzd_t * matG0ptran = mzd_transpose(NULL,matG0perp);
-      prod1=csr_mzd_mul(NULL,spaG0,matG0ptran,1);
-      mzd_free(matG0ptran);
-      if ((debug & 2048) && (n<=150))
-	mzd_print(prod1);
-      printf("weigt of G0*G0perp_T=%d\n",(int)mzd_weight(prod1));
-      if ((debug & 2048) && (n<=150)){
-	printf("current P=\n");
-	mzd_print(matP0);
-	printf(" G*P_T=\n");
-      }
-      mzd_free(prod1);
-      prod1=mzd_init(matG0->nrows,matP0->nrows);
-      prod1=_mzd_mul_naive(prod1,matG0,matP0,1);
-      if ((debug & 2048) && (n<=150))
-	mzd_print(prod1);
-      printf("weigt of G*P^T=%d\n",(int)mzd_weight(prod1));
-      mzd_free(matG0);
-      mzd_free(prod1);
-    }
-
-    rt = matG0perp->nrows; 
-    if (rt==matP0->nrows)
-      ERROR("This is an empty code, distance infinite!");
-    rci_t wei;
-    mzd_t *row, *row0=NULL;
-    int width = matG0perp -> width;
-    if((debug & 1)&&(ii==0))
-      printf("# n=%d width=%d\n",n,width);
-    //    printf("##### here ########\n");
-    for(int i=0;i<rt;i++){
-      fflush(stdout);
-      row=mzd_init_window(matG0perp,i,0,i+1,n);
-      wei=mzd_weight(row); 
-      if((wei<weimin)){ 
-	//	if (debug & 1024)
-	  row0=mzd_copy(row0,row);
-	  //	else
-	  //	  row0=row;
-	rci_t j=do_reduce(row,matP0,matP0->nrows);
-	if (j!=-1){ /* not an empty row */
-	  if (debug & 1024){
-	    int wei0=mzd_weight_naive(row0);
-	    if (wei!=wei0){
-	      printf("### naive wei=%d vs std_bitcount %d\n",wei0,wei);
-	      mzd_print(row0);
-	    }
-	  }
-	  if (debug & 3)
-	    printf("# round=%d i=%d w=%d s=%d " "s0=%d "
-		   "min=%d\n",ii,i,wei,
-		   debug &2 ? syndrome_bit_count(row0,spaG0):0,syndrome_bit_count(row,spaG0),
-		   weimin);	    	  
-	  weimin=wei;
-	}
-	/*	else
-	  printf("# wei=%d, syndrome should be zero: s0=%d \n" , wei,
-		   syndrome_bit_count(row0,spaG0));	    	  
-	*/
-      }
-      mzd_free(row);
-      if(weimin<=wmin){ // no need to continue 
-	ii=steps;
-	weimin=-weimin;
-	break;
-      }
-
-    }
-    if (row0!=NULL){
-      mzd_free(row0);
-      row0=NULL;
-    }
-    if (weimin<0)
-      break;
-  }
-  if (debug & 2) 
-    printf("# n=%d k=%d weimin=%d\n",n,rt-matP0->nrows,weimin);
-
-  return weimin;
-}
-
 #ifdef STANDALONE
 
+int do_CC_dist(const csr_t * const mH, const csr_t * mL,
+	       const int wmax, const int start, const int debug);
+
 int main(int argc, char **argv){
   params_t * const p = &prm;
-  var_init(argc,argv,p);
-
-  if (p->method & 2){ /* cluster */
-    prm.max_row_wgt_G=csr_max_row_wght(p->spaG);
-    if(prm.max_row_wgt_G>maxrow)
-      ERROR("main: increase maxrow=%d to %d",maxrow,prm.max_row_wgt_G);
 
-  }
-  const int n=p->nvar;
+  var_init(argc,argv,p);
 
-  
+  //  const int n=p->nvar;
 
   if (prm.method & 1){ /* RW method */
-#if 0 /** older version, may have bugs */    
-    prm.dist_max=do_dist_rnd(spaH0,matG0,prm.debug,prm.steps,prm.wmin);
-#else //! `new` distance-finding routine 
-    prm.dist_max=do_RW_dist(p->spaH,p->spaL,p->steps, p->wmin, p->classical, p->swait, p->debug);
-#endif /* 0 */    
-    if (prm.debug & 1){
+    
+    prm.dist_max=do_RW_dist(p->spaH,p->spaL,p->steps, p->wmin, p->classical, p->debug);
+
+    if (prm.debug&1){
       printf("### RW upper bound on the distance: %d\n",prm.dist_max);
     if(prm.dist_max <0)
       printf("### negative distance due to wmax=%d set (early termination)\n",prm.wmax);
@@ -476,48 +259,16 @@ int main(int argc, char **argv){
   }
 
   if (prm.method & 2){ /* cluster method */
-    /* convert G to standard form */
-    mzp_t *piv0=mzp_init(n);  //  mzp_out(piv0);
-    mzd_t *matG0=mzd_from_csr(NULL,p->spaG); 
-    rci_t rankG=mzd_gauss_naive(matG0,piv0,1); 
-    if(prm.debug & 1)
-      printf("# rankG=%d\n",rankG);
-    mzd_apply_p_right_trans(matG0,piv0);
-    //    matG0->nrows=rankG;
-      
-    mzp_t *q0=perm_p_trans(NULL,piv0,1);    // permutation equiv to piv0 
-    csr_t *spaH0=csr_apply_perm(NULL,p->spaH,q0); // permuted sparse H
-    //  csr_t* spaG0=csr_apply_perm(NULL,p->spaG,q0); // permuted sparse G -- not needed here
-    if(prm.debug & 2048){
-      if ((n<=150))
-	{
-	  printf("matG0=\n");
-	  mzd_print(matG0);
-	    
-	  printf("matP0=\n");
-	  mzd_t *matP0=mzd_from_csr(NULL,spaH0);  
-	  mzd_print(matP0);
-	  mzd_free(matP0);
-	}
-      int wei=product_weight_csr_mzd(spaH0, matG0,1);    
-      printf("weigt of H0*G0_T=%d\n",wei);
-      if(wei>0)
-	ERROR("expected zero weight product!");
-    }
-    mzp_free(piv0);
-    mzp_free(q0);
-    
-    int dmin=do_dist_clus(spaH0,matG0,prm.debug,prm.wmax,prm.start,rankG);
-    csr_free(spaH0);
-    mzd_free(matG0);
+    int dmin=do_CC_dist(p->spaH,p->spaL,p->wmax,p->start,p->debug);
+
     if (dmin>0){ 
-      if (prm.debug & 1)
+      if (prm.debug&1)
 	printf("### Cluster (actual min-weight codeword found): dmin=%d\n",dmin);
       prm.dist_min = dmin; /* actual distance found */
       prm.dist_max = dmin;
     }
     else if (dmin<0){
-      if (prm.debug & 1)
+      if (prm.debug&1)
 	printf("### Cluster dmin=%d  (no codewords of weight up to %d)\n",dmin,-dmin);
       if (-dmin==abs(prm.dist_max)-1)
 	prm.dist_min=abs(prm.dist_max); /* OK */
@@ -539,10 +290,7 @@ int main(int argc, char **argv){
       printf("cluster algorithm failed to find a codeword up to wmax=%d\n",-dmin);
   }
   else{ /* just RW */
-    //    if(prm.debug &1)
     printf("RW algorithm upper bound for the distance d=%d\n", prm.dist_max);
-      
-      //    }
   }
   var_kill(p);
   
diff --git a/src/dist_m4ri.h b/src/dist_m4ri.h
index f87b50c..e27f47f 100644
--- a/src/dist_m4ri.h
+++ b/src/dist_m4ri.h
@@ -10,8 +10,6 @@
 
 
 
-static const int maxrow = 10;
-
   /** @brief helper function to sort `int`
    *  use `qsort(array, len, sizeof(rci_t), cmp_rci_t);`
    */
diff --git a/src/makefile b/src/makefile
index 407325c..ab9be10 100644
--- a/src/makefile
+++ b/src/makefile
@@ -1,23 +1,24 @@
 WARN = -Wall -Wsign-compare -Wextra
 # use `valgrind` for memory / array bounds check
-# use `-ggdb3` for use with valgrind
+# use `-ggdb3` for use with `valgrind`
+# use `-pg` switch for use with `gprof` (profiling/performance analyzer)
 ## EXTRA may be set on the command line, e.g., "EXTRA=''" or "EXTRA='-pg -DNDEBUG'"
 # EXTRA = -DNDEBUG -Wno-unused-variable -Wno-unused-parameter  
 # OPT  = -g -march=native -mtune=native -O3 ${PRODUCTION}
 EXTRA=-DNDEBUG
 # use -DNDEBUG to disable assert, -Wfatal-errors to stop at 1st error
 # to compile on Mac you may need to disable '-march=native` 
-OPT = -g -march=native -mtune=native -O3 ${EXTRA}
+OPT = -g -march=native -mtune=native -O3
 #OPT = -g -mtune=native -O3 ${EXTRA}
 CC = gcc
-CFLAGS = ${OPT} ${VER} ${WARN}
+CFLAGS = ${OPT} ${VER} ${WARN} ${EXTRA}
 CPP = g++
 
 default: give_help
 all: dist_m4ri 
 
-dist_m4ri: dist_m4ri.c dist_m4ri.h util_io.o util_m4ri.o mmio.o  makefile 
-	${CC} ${CFLAGS} -DSTANDALONE -o dist_m4ri $< mmio.o util_m4ri.o util_io.o -lm4ri -lm
+dist_m4ri: dist_m4ri.c dist_m4ri.h util_io.o util_m4ri.o mmio.o dist_cc.o makefile 
+	${CC} ${CFLAGS} -DSTANDALONE -o dist_m4ri $< dist_cc.o mmio.o util_m4ri.o util_io.o -lm4ri -lm
 
 util_m4ri.o: util_m4ri.c util_m4ri.h mmio.h makefile 
 	${CC} ${CFLAGS} -c -o util_m4ri.o $<  
@@ -25,6 +26,9 @@ util_m4ri.o: util_m4ri.c util_m4ri.h mmio.h makefile
 util_io.o: util_io.c util_io.h util_m4ri.h mmio.h makefile 
 	${CC} ${CFLAGS} -c -o util_io.o $<  
 
+dist_cc.o: dist_cc.c util_io.h util_m4ri.h mmio.h makefile 
+	${CC} ${CFLAGS} -c -o dist_cc.o $<  
+
 mmio.o: mmio.c mmio.h makefile
 	${CC} ${CFLAGS} -c $< 
 
@@ -46,15 +50,17 @@ zip: ${src}
 	zip -9 -o dist_m4ri.zip ${src} ../Doxyfile ../README.md
 
 give_help:
-	@echo  "\e[36m make dist_m4ri \e[0m" "   to compile \`dist_m4ri\` \e[32m\e[0m"
-	@echo  "\e[36m make clean \e[0m   " "to\e[31m remove\e[0m object files and such"
-	@echo  "\e[36m make veryclean \e[0m" "also\e[31m remove\e[0m executables and zip file"
-	@echo  "\e[36m make zip \e[0m    " "to make \e[35m \`dist_m4ri.zip\`\e[0m file with all sources"
-	@echo  "\e[36m make tags \e[0m   " "to create \e[35m TAGS\e[0m file"
+	@echo  "\e[36m make -j dist_m4ri \e[0m" "\t\t compile \`dist_m4ri\` \e[32m\e[0m"
+	@echo  "\e[36m make -j dist_m4ri EXTRA=\"\"\e[0m" "\t compile with add'l checks / assert statements\e[32m\e[0m"
+	@echo  "\e[36m make -j dist_m4ri OPT=\"-pg -O2\"\e[0m" "\t compile for use with \`gprof\`\e[32m\e[0m"
+	@echo  "\e[36m make clean \e[0m   " "\t to\e[31m remove\e[0m object files and such"
+	@echo  "\e[36m make veryclean \e[0m" "\t also\e[31m remove\e[0m executables and zip file"
+	@echo  "\e[36m make zip \e[0m    " "\t to make \e[35m \`dist_m4ri.zip\`\e[0m file with all sources"
+	@echo  "\e[36m make tags \e[0m   " "\t to create \e[35m TAGS\e[0m file"
 	@echo
 	@echo  "\e[31m The program does not compile?\e[0m"
 	@echo  "  - Make sure you have '\e[32mlibm4ri_dev\e[0m' on your system."
 	@echo  "    Please see '../README.md' for installation instructions."
 	@echo  "  - On a Mac, you may want to disable '\e[32m-march=native\e[0m' compiler switch by running" 
-	@echo  "\e[36m make dist_m4ri OPT='-g -mtune=native -O3'\e[0m" 
+	@echo  "\t\e[36m make dist_m4ri OPT='-g -mtune=native -O3'\e[0m" 
 
diff --git a/src/util_io.c b/src/util_io.c
index fef2871..7023891 100644
--- a/src/util_io.c
+++ b/src/util_io.c
@@ -1,5 +1,5 @@
+#include <unistd.h>
 #include "util_io.h"
-// #include "util.h"
 
 params_t prm={
   .debug=3,
@@ -9,16 +9,17 @@ params_t prm={
   .css=1,
   .wmax=5,
   .wmin=1,
+  .start=-1, 
   .seed=0,
   .dist=0,
   .dist_max=0,
   .dist_min=0,
-  .max_row_wgt_G =0,
+  .max_row_wgt_H =0,
+  .max_col_wgt_H =0,
   .n0=0,
   .nvar=0,
   .nchk=0,
   .maxC=0,
-  .swait=0,
   .finH=NULL,
   .finG=NULL,
   .finL=NULL,
@@ -34,6 +35,9 @@ void var_init(int argc, char **argv, params_t * const p){
   int dbg=0;
   int swit=0;
 
+  if(argc <= 1)
+    ERROR("no command-line arguments given, " BRIEF_HELP,argv[0]);
+
   for (int i=1; i<argc;i++) /* scan arguments for help message */
     if((strcmp(argv[i],"--help")==0)||(strcmp(argv[i],"-h")==0)){
       printf( USAGE,argv[0],argv[0]);
@@ -49,13 +53,13 @@ void var_init(int argc, char **argv, params_t * const p){
           p->debug = dbg; /** just assign if in the `1st position` */
         else
           p->debug ^= dbg; /** otherwise `XOR` */
-        if(p->debug &4)
+        if(p->debug&4)
 	  printf("# read %s, debug=%d octal=%o\n",argv[i],p->debug,p->debug);
       }
     }
     else if (sscanf(argv[i],"css=%d",&dbg)==1){
       p->css=dbg;
-      if (p->debug)
+      if (p->debug&4)
 	printf("# read %s, css=%d\n",argv[i],p->css);
     }
     else if (0==strncmp(argv[i],"finH=",5)){ /** `finH` */
@@ -103,40 +107,40 @@ void var_init(int argc, char **argv, params_t * const p){
     }
     else if (sscanf(argv[i],"method=%d",&dbg)==1){
       p->method=dbg;
-      if (p->debug)
+      if (p->debug&4)
 	printf("# read %s, method=%d\n",argv[i],p->method);
       if( (p->method<=0) || (p->method>3))
 	ERROR("Unsupported method %d",p->method);
     }
     else if (sscanf(argv[i],"wmax=%d",&dbg)==1){
       p->wmax=dbg;
-      if (p->debug)
+      if (p->debug&4)
 	printf("# read %s, wmax=%d\n",argv[i],p->wmax);
     }
     else if (sscanf(argv[i],"start=%d",&dbg)==1){
       p->start=dbg;
-      if (p->debug)
+      if (p->debug&4)
 	printf("# read %s, start=%d\n",argv[i],p->start);
     }
     else if (sscanf(argv[i],"wmin=%d",&dbg)==1){
       p->wmin=dbg;
-      if (p->debug)
+      if (p->debug&4)
 	printf("# read %s, wmin=%d\n",argv[i],p->wmin);
     }
     else if (sscanf(argv[i],"steps=%d",&dbg)==1){
       p->steps=dbg;
-      if (p->debug)
+      if (p->debug&4)
 	printf("# read %s, steps=%d\n",argv[i],p->steps);
     }
     else if (sscanf(argv[i],"seed=%d",&dbg)==1){
       p->seed=dbg;
-      if (p->debug)
+      if (p->debug&4)
 	printf("# read %s, seed=%d\n",argv[i],p->seed);
-      if (p->seed==0){
-	if(p->debug)
-	  printf("# initializing rng from time(NULL)\n");
-	srand(time(NULL));
-      }      
+      if (p->seed<=0){
+	p->seed=time(NULL)+1000*p->seed+10*getpid();
+	if(p->debug&4)
+	  printf("# initializing rng from time(NULL), seed=%d\n",p->seed);
+      }
     }    
     else{ /* unrecognized option */
       printf("# unrecognized parameter \"%s\" at position %d\n",argv[i],i);
@@ -146,16 +150,12 @@ void var_init(int argc, char **argv, params_t * const p){
 
   if(p->method &1 ){ /* RW */
     if (p->steps<=0)
-      p->steps=1; /* need to run at least once */
-    if (p->debug & 1)
-      printf("# using RW method, wmin=%d steps=%d\n",p->wmin,p->steps);
+      ERROR("parameter steps=%d should be positive for RW method=%d", p->steps,p->method);
   }
   
-  if(p->method &2 ){ /* RW */
+  if(p->method &2 ){ /* CC */
     if (p->wmax<=0)
-      p->wmax=10; /* some reasonable lower bound */
-    if (p->debug &2)
-      printf("# using Cluster method, wmax=%d steps=%d\n",p->wmax,p->steps);
+      ERROR("parameter wmax=%d should be positive for CC method=%d", p->wmax,p->method);
   }
 
   if((strlen(p->fin)!=0) && (!p->finH)){
@@ -171,46 +171,86 @@ void var_init(int argc, char **argv, params_t * const p){
     sprintf(s,"%s%s",p->fin,swit>0?"Z.mtx":"X.mtx");
     p->finH=s;
     if (p->debug & 2)
-      printf("# read 'fin=%s'; since switch=%d assigning \n# finH=%s\n# finG=%s\n",
-	     p->fin,swit,p->finH,p->finG);
+      printf("# read 'fin=%s'; " //"since switch=%d "
+	     "assigning \n# finH=%s\n# finG=%s\n",
+	     p->fin,// swit,
+	     p->finH,p->finG);
   }
   
-  if (p->finH)
+  if (p->finH){
     p->spaH=csr_mm_read(p->finH,p->spaH,0);
+    if(p->debug&1)
+      printf("# read H <- file '%s'\n",p->finH);
+    if(p->debug&32){
+      if((p->spaH->cols<150)||(p->debug&2048))
+	csr_print(p->spaH,"H");
+    }
+  }
   else
     ERROR("need to specify H=Hx input file name; use fin=[str] or finH=[str]\n");
 
+#if 0
+  if (p->method&2){ /* cluster */
+    p->max_row_wgt_H = csr_max_row_wght(p->spaH);
+    if(p->max_row_wgt_H > max_row_wt)
+      ERROR("increase max_row_wt=%d to %d",max_row_wt,p->max_row_wgt_H);
+  }
+#endif
+
+
   if((p->finG) && (p->finL))
-    ERROR("either G=Hz or L=Lx matrix should be specified but not both finG='%s' finL='%s'\n",p->finG, p->finL);
+    ERROR("either G=Hz or L=Lx matrix should be specified but not both! finG='%s' finL='%s'\n",
+	  p->finG, p->finL);
 
   if(p->finG){
     p->classical=0;
     p->spaG=csr_mm_read(p->finG,p->spaG,0);
+    if(p->debug&1)
+      printf("# read G <- file '%s'\n",p->finG);
+    if(csr_csr_mul_non_zero(p->spaH, p->spaG))
+       ERROR("rows of H and G matrices are not orthogonal");
+    if(p->debug&32){
+      if((p->spaG->cols<150)||(p->debug&2048))
+	csr_print(p->spaG,"G");
+    }
   } 
   else if (p->finL){
     p->classical=0;
     p->spaL=csr_mm_read(p->finL,p->spaL,0);
+    if(p->debug&1)
+      printf("# read L <- file '%s'\n",p->finL);
+    if(p->debug&32){
+      if((p->spaL->cols<150)||(p->debug&2048))
+	csr_print(p->spaL,"L");
+    }
   } 
   else{
     p->classical=1;
     p->spaG=NULL;
   }
 
+  srand(p->seed);
+
   rci_t n = (p->spaH)-> cols;
   if ((!p->classical) && ((p->spaG) && (n != (p->spaG) -> cols)))
     ERROR("Column count mismatch in H and G matrices: %d != %d",
 	  (p->spaH)-> cols, (p->spaG)->cols);
-  p->nvar=n; 
-  p->n0=n;
+  p->nvar = n; 
+  p->n0 = n;
   if (p->css!=1)
     ERROR("Non-CSS codes are currently not supported, css=%d",p->css);
   
   if((p->spaG) && (p->spaL==NULL)){
     /** create `Lx` */
     /** WARNING: this does not necessarily have minimal row weights */
-    p->spaL=Lx_for_CSS_code(p->spaH,p->spaG);
+    p->spaL = Lx_for_CSS_code(p->spaH,p->spaG);
     p->nchk = p->spaL->rows;
   }
+
+  if ((p->method <= 0) || (p->method > 3)){
+      printf("invalid method=%d specified\n", p->method);
+      ERROR(BRIEF_HELP,argv[0]);
+  }
   
 }
 
@@ -221,7 +261,7 @@ void var_kill(params_t * const p){
     csr_free(p->spaH);
   if(p->spaG)
     csr_free(p->spaG);
-#if 0  
+#if 0
   if(strlen(p->fin) != 0){
     if(p->finH){
       printf("freeing finH=%s\n", p->finH);
diff --git a/src/util_io.h b/src/util_io.h
index d67dafe..699ee2c 100644
--- a/src/util_io.h
+++ b/src/util_io.h
@@ -20,6 +20,8 @@
 
 #define _maybe_unused __attribute__((unused))
 
+//static const int max_row_wt=10; 
+
 typedef struct{
   int debug; /* debug information */ 
   int classical; /* 1 for a classical code, i.e., no `G=Hz` matrix*/
@@ -32,14 +34,14 @@ typedef struct{
   int dist; /* target distance of the code */
   int dist_max; /* distance actually checked */
   int dist_min; /* distance actually checked */
-  int max_row_wgt_G; /* needed for C */
-  //! int maxrow;  /* WARNING: this is defined in `dist_m4ri.h` as `static const int` */
+  int max_row_wgt_H; /* needed for C */
+  int max_col_wgt_H; /* needed ? */
+  //! int max_row_wt;  /* WARNING: this is defined in `util_io.h` as `static const int` */
   int start;
   //  int linear; /* not supported */
   int n0;  /* code length, =nvar for css, (nvar/2) for non-css */
   int nvar; /* actual n = matrix size */
   int nchk; /* actual k = number of codewords */
-  int swait;
   int maxC;
   char *finH;
   char *finG;
@@ -48,33 +50,55 @@ typedef struct{
   csr_t *spaH;
   csr_t *spaG;
   csr_t *spaL;
-} params_t; 
+} params_t;
+
+static inline int minint(const int a, const int b) { return (a < b) ? a : b; }
+// #define MININT(a,b) do{ int t1=(a); int t2=(b); t1<t2? t1 :t2; } while(0)
 
 extern params_t prm;
 void var_init(int argc, char **argv, params_t * const p);
 void var_kill(params_t * const p);
 
 #define USAGE								\
-  "%s: calculate the minumum distance of a q-LDPC code\n"		\
-  "\tusage: %s [arguments [...]]\n"					\
-  "Supported parameters:\n"						\
-  "\tdebug=[int]:\t bitmap for aux information (3)\n"			\
-  "\tfin=[string]: base name for input files (\"try\")\n"		\
-  "\t\t finH->\"${try}X.mtx\"  finG->\"${try}X.mtx\"\n"			\
+  "%s: distance of a classical or quantum CSS code\n"			\
+  "\tusage: %s parameter=value [...]\n\n"				\
+  "   Required parameter:\n"						\
+  "\tmethod=[int]: bitmap for method used (required, default 0: none): \n" \
+  "\t\t1: random window (RW) algorithm. Options:\n"			\
+  "\t\t   steps=[int]: how many information sets to use (1)\n"		\
+  "\t\t   wmin=[int]:  minimum distance of interest (1)\n"		\
+  "\t\t2: connected cluster (CC) algorithm.  Options:\n"		\
+  "\t\t   wmax=[int]:  maximum cluster weight (5) \n"			\
+  "\t\t   start=[int]: use only this position to start (-1)\n\n"	\
+  "   General parameters:\n"						\
   "\tfinH=[str]: parity check matrix Hx (NULL)\n"			\
-  "\tfinG=[str]: matrix Hz or NULL for classical code (NULL)\n"		\
-  "\tfinL=[str]: matrix Lx or NULL for classical code (NULL)\n"		\
+  "\tfinG=[str]: matrix Hz (quantum CSS code only) (NULL)\n"		\
+  "\tfinL=[str]: matrix Lx (quantum CSS code only) (NULL)\n"		\
   "\t\t Either L=Lx or G=Hz matrix is required for a quantum CSS code\n" \
-  "\tcss=1: this is a CSS code (the only supported one) (1)\n"		\
-  "\tseed=[int]: rng seed  [0 for time(NULL)]\n"			\
-  "\tmethod=[int]: bitmap for method used: \n"				\
-  "\t\t1: random window (RW) algorithm\n"				\
-  "\t\t2: cluster (C) algorithm\n"					\
-  "\tsteps=[int]: how many RW decoding cycles to use (1)\n"		\
-  "\twmax=[int]: max cluster weight in C (5) \n"			\
-  "\twmin=[int]: min distance of interest in RW (1)\n"			\
-  "\t-h or --help gives this help\n"
-
+  "\tfin=[str]:  base name for input files (\"try\")\n"			\
+  "\t\t set finH->\"${fin}X.mtx\"  finG->\"${fin}Z.mtx\"\n"		\
+  "\tcss=[int]:  reserved for future use (1)\n"				\
+  "\tseed=[int]: rng seed [use 0 for time(NULL)] (0)\n"			\
+  "\tdebug=[int]:\t bitmap for aux information to output (3)\n"		\
+  "\t\t0: clear the entire debug bitmap to 0.\n"			\
+  "\t\t1: output misc general info (on by default)\n"			\
+  "\t\t2: output more general info (on by default)\n"			\
+  "\t\t4: debug command line arguments parsing\n"			\
+  "\t\t8: output progress reports every 1000 steps\n"			\
+  "\t\t16: output new min-weight codewords found (cut large vectors)\n"	\
+  "\t\t32: output matrices (unless n is large)\n"			\
+  "\t\t64: reserved\n"							\
+  "\t\t128: reserved\n"							\
+  "\t\t256: print out neighbor lists\n"					\
+  "\t\t512: print out vectors/syndrome weights during recursion\n"	\
+  "\t\t1024: print piv/skip_pivs/reserved\n"						\
+  "\t\t2048: allow big matrix / large vector output\n"			\
+  "\t\t   see the source code for more options\n"			\
+  "\t  Multiple 'debug' parameters are XOR combined except for 0.\n"	\
+  "\t  Use debug=0 as the 1st argument to suppress all debug messages.\n"\
+  "   -h gives this help (also '--help')\n"
 
+#define BRIEF_HELP				\
+  "try \"%s -h\" for help"	       
 
 #endif /* UTIL_IO_H */
diff --git a/src/util_m4ri.c b/src/util_m4ri.c
index 1299098..511ac4e 100644
--- a/src/util_m4ri.c
+++ b/src/util_m4ri.c
@@ -111,10 +111,10 @@ rci_t mzd_gauss_naive(mzd_t *M, mzp_t *q, int full) {
 }
 
 /** 
- * return max row weight of CSR matrix p
+ * @brief return max row weight of CSR matrix p
  * TODO: add code for List of Pairs 
  */
-int csr_max_row_wght(const csr_t *p){
+int csr_max_row_wght(const csr_t * const p){
   int m=p->rows;
   int wmax=0;
   for(int i=0;i<m;i++){
@@ -132,7 +132,7 @@ int csr_max_row_wght(const csr_t *p){
  * return resulting matrix
  * TODO: add code for List of Pairs 
  */
-csr_t * csr_transpose(csr_t *dst, const csr_t *p){
+csr_t * csr_transpose(csr_t *dst, const csr_t * const p){
   int rows=p->rows, cols=p->cols, nz=p->p[rows];
   if (dst == NULL) 
     dst = csr_init(NULL,cols,rows,nz);
@@ -258,6 +258,24 @@ void addto(mzd_t *row, const csr_t *spaQ, const int i){
     mzd_flip_bit(row, 0,spaQ->i[j]); /* flip that bit */
 }
 
+
+/** 
+ * @brief Add row=i of sparse matrix spaQ to row.
+ * WARNING: no range check is done 
+ */ 
+static inline void addto_inline(mzd_t *row, const csr_t *spaQ, const int i){
+#ifndef NDEBUG
+  if (i>=spaQ->rows)
+    ERROR("addto: attempt to get row=%d of %d",i,spaQ->rows);
+  if (row->ncols != spaQ->cols)
+    ERROR("addto: column number mismatch");
+  //  mzd_print(row);
+#endif
+  for (int j=spaQ->p[i]; j<spaQ->p[i+1]; j++)
+    mzd_flip_bit(row, 0,spaQ->i[j]); /* flip that bit */
+}
+
+
 /** 
  * Calculate the syndrome vector change: syndrome=syndrome +row.spaQ
  * optionally clear the destination 
@@ -290,6 +308,27 @@ mzd_t * syndrome_vector(mzd_t *syndrome, mzd_t *row, csr_t *spaQ, int clear){
   return syndrome;
 }
 
+int csr_csr_mul_non_zero(const csr_t * const A, const csr_t * const B){
+  if(!A)
+    ERROR("matrix A is NULL");
+  if(A->nz != -1)
+    ERROR("matrix A shold be in compressed form");
+  if(!B)
+    ERROR("matrix B is NULL");
+  if(A->nz != -1)
+    ERROR("matrix B should be in compressed form");
+  if (A->cols != B->cols) 
+    ERROR("col count mismatch: A[%d,%d] and B[%d,%d]",
+	  A->rows,A->cols, B->rows, B->cols);
+  
+  for(int i=0; i < B->rows; i++){
+    const int begr = B->p[i];
+    if(sparse_syndrome_non_zero(A,B->p[i+1] - begr, & (B->i[begr])))
+      return 1;
+  }
+  return 0;
+}
+
 /** 
  * just check whether syndrome is zero or not 
  */ 
@@ -520,6 +559,18 @@ void csr_out(const csr_t *mat){
   }
 }
 
+void csr_print(const csr_t * const smat, const char str[]){
+  mzd_t *mH0 = mzd_from_csr(NULL,smat);
+  if(str)
+    printf("matrix %s:\n",str);
+  else
+    printf("matrix:\n");
+  mzd_print(mH0);
+  mzd_free(mH0);
+}
+
+
+
 /**
  * read sparse matrix into a (binary) CSR (all entries default to 1)
  * (re)allocate mat if needed
diff --git a/src/util_m4ri.h b/src/util_m4ri.h
index b1761f1..5ef8c23 100644
--- a/src/util_m4ri.h
+++ b/src/util_m4ri.h
@@ -10,13 +10,10 @@
 
 #define SWAPINT(a,b) do{ int t=a; a=b; b=t; } while(0)
 
-static inline int minint(const int a, const int b) { return (a < b) ? a : b; }
-// #define MININT(a,b) do{ int t1=(a); int t2=(b); t1<t2? t1 :t2; } while(0)
-
 #define ERROR(fmt,...)                                                 \
   do{                                                                  \
     fprintf (stderr, "%s:%d: *** ERROR in function '%s()' ***\n", __FILE__, __LINE__, __FUNCTION__); \
-    printf("#: *** ERROR: " fmt " *** \n",##__VA_ARGS__); \
+    printf(" " fmt "\n",##__VA_ARGS__); \
     exit(-1);                                                          \
   }                                                                    \
   while(0)
@@ -148,21 +145,20 @@ extern "C" {
   static inline int nextelement(const word * const set1, const int m, const int pos){
     word setwd;
     int w;
-#if 1
     if (pos < 0){
       w = 0;
       setwd = set1[0];
     }
-    else
-#endif 
-      //    {
-      w = SETWD(pos);
-    setwd = set1[w] & (m4ri_ffff<< SETBT(pos));
-    //  }
+    else{
+	w = SETWD(pos);
+	setwd = set1[w] & (m4ri_ffff<< SETBT(pos));
+      }
 
     for (;;){
-      if (setwd != 0) return  TIMESWORDSIZE(w) + FIRSTBIT(setwd);
-      if (++w == m) return -1;
+      if (setwd != 0)
+	return TIMESWORDSIZE(w) + FIRSTBIT(setwd);
+      if (++w == m)
+	return -1;
       setwd = set1[w];
     }
   }
@@ -178,7 +174,7 @@ extern "C" {
    * return max row weight of CSR matrix p
    * TODO: add code for List of Pairs 
    */
-  int csr_max_row_wght(const csr_t *p);
+  int csr_max_row_wght(const csr_t * const p);
   
   /** 
    * transpose compressed CSR matrix, 
@@ -186,7 +182,7 @@ extern "C" {
    * return resulting matrix
    * TODO: add code for List of Pairs 
    */
-  csr_t * csr_transpose(csr_t *dst, const csr_t *p);
+  csr_t * csr_transpose(csr_t *dst, const csr_t * const p);
 
   
   /**
@@ -241,8 +237,10 @@ extern "C" {
 
   /* same as above but of equal length */
   static inline mzp_t * mzp_rand(mzp_t *q){
-    if (q==NULL)
-      ERROR("permutation must be initialized!");
+    if (q==NULL){
+      printf("mzp_rand: permutation must be initialized!");
+      exit(-1);
+    }
     return mzp_rand_len(q,q->length);
   }
 
@@ -287,7 +285,7 @@ extern "C" {
    *  output a CSR matrix  
    */ 
   void csr_out(const csr_t *mat);
-
+  void csr_print(const csr_t * const smat, const char str[]);
   /**
    * read sparse matrix into a (binary) CSR (all entries default to 1)
    * (re)allocate mat if needed
@@ -374,7 +372,11 @@ static inline int sparse_syndrome_non_zero(const csr_t * const H, const int cnt,
   return 0;
 }
 
-
+  /** @brief return 1 if matrix product A*B^T is non-zero 
+   * @param A first matrix
+   * @param B second matrix 
+   * */  
+  int csr_csr_mul_non_zero(const csr_t * const A, const csr_t * const B);
   
   /** 
    * Check whether syndrome is zero or not