diff --git a/dimension_t/src/dimension_t/dimension_t.c b/dimension_t/src/dimension_t/dimension_t.c
index f91a148..1d665e3 100644
--- a/dimension_t/src/dimension_t/dimension_t.c
+++ b/dimension_t/src/dimension_t/dimension_t.c
@@ -173,10 +173,60 @@ void printDebug_dimension(dimension *d,char *msg){
   printf("(%s)->size = %ld | (%s)->rank = %ld \n",msg,d->size,msg,d->rank);
   for(size_t i=0; i<d->size; ++i)
     printf("[%ld: %ld] |", i,d->perm[i]);
-  if(endian)
-    printf("litle endian (true)\n");
+ /* if(endian)
+    printf("\nendian (true): the bigest index varies first, e.g:  [x0,x1,x2,...,xn] xn is the bigest index\n");
   else
-    printf("litle endian (false) \n");
+    printf("\nendian (false): the lowest index varies first, e.g: [x0,x1,x2,...,xn] x0 is the lowest index\n");
+*/
+}
+
+size_t sprint_dimension(char **dimContent, dimension *d){
+  if(*dimContent != NULL){
+    free(*dimContent);
+    *dimContent=NULL;
+  }
+  size_t nbch=6*d->size+40;
+  *dimContent = malloc(nbch);
+  //printf("nbCh=%ld\n",nbch);
+  char *val=NULL;
+  size_t cur=0;
+  char *dimSzCh="dim->size";
+  for(size_t i=0; i<strlen(dimSzCh);++i)
+    (*dimContent)[cur++]=dimSzCh[i];
+  (*dimContent)[cur++]='=';
+  val=TYPE_SIZE_T_TO_STR(d->size);
+  for(size_t c=0;c<strlen(val);++c)
+    (*dimContent)[cur++]=val[c];
+  free(val); val = NULL;
+  (*dimContent)[cur++]=' ';
+  (*dimContent)[cur++]='/';
+  (*dimContent)[cur++]=' ';
+  char *dimRkCh="dim->rank";
+  for(size_t i=0; i<strlen(dimRkCh);++i)
+    (*dimContent)[cur++]=dimRkCh[i];
+  (*dimContent)[cur++]='=';
+  val=TYPE_SIZE_T_TO_STR(d->rank);
+  for(size_t c=0;c<strlen(val);++c)
+    (*dimContent)[cur++]=val[c];
+  free(val); val = NULL;
+  (*dimContent)[cur++]=' ';
+  (*dimContent)[cur++]='\n';
+  (*dimContent)[cur++]='[';
+  for(size_t i=0; i<d->size;++i){
+    (*dimContent)[cur++]=' ';
+    val=TYPE_SIZE_T_TO_STR(d->perm[i]);
+    for(size_t c=0;c<strlen(val);++c)
+      (*dimContent)[cur++]=val[c];
+    free(val); val = NULL;
+    (*dimContent)[cur++]=',';
+   
+  }
+  (*dimContent)[cur++]=']';
+
+  (*dimContent)[cur++]='\n';
+  (*dimContent)[cur++]='\0';
+
+  return cur;
 }
 
 void updateRankDim(dimension *dim){
diff --git a/dimension_t/src/dimension_t/dimension_t.h b/dimension_t/src/dimension_t/dimension_t.h
index c04b012..ca97f0b 100644
--- a/dimension_t/src/dimension_t/dimension_t.h
+++ b/dimension_t/src/dimension_t/dimension_t.h
@@ -40,6 +40,7 @@ void add_dimension(dimension **d, dimension *d0, dimension *d1);
 void min_dimension(dimension **d, dimension *d0, dimension *d1);
 
 void printDebug_dimension(dimension *d, char *msg);
+size_t sprint_dimension(char **dimContent, dimension *d);
 
 void updateRankDim(dimension *dim);
 size_t LineFromCoord(size_t *coo, dimension *dim);
diff --git a/dimension_t/test/is_good.c b/dimension_t/test/is_good.c
index d78ab21..b6f4393 100644
--- a/dimension_t/test/is_good.c
+++ b/dimension_t/test/is_good.c
@@ -161,6 +161,25 @@ TEST(Coord_linear){
   free(coord);
 }
 
+TEST(sprint_dim){
+  dimension *D=create_dim(4);
+  D->perm[0]=2;
+  D->perm[1]=3;
+  D->perm[2]=5;
+  D->perm[3]=6;
+
+  updateRankDim(D);
+
+  char *dimSTR =NULL;
+  size_t nb=sprint_dimension(&dimSTR, D);
+
+  LOG(" nb char : %ld\n, dim print:\n%s\n",nb, dimSTR);
+
+  free_dimension(D);
+  free(dimSTR);
+}
+
+
 int main(int argc, char **argv){
   
 
diff --git a/tensor_t/src/tensor_t/tensor_t.c b/tensor_t/src/tensor_t/tensor_t.c
index 899ff0a..26c1079 100644
--- a/tensor_t/src/tensor_t/tensor_t.c
+++ b/tensor_t/src/tensor_t/tensor_t.c
@@ -343,9 +343,11 @@ void print_tensor_msg_##type(tensor_##type *T,char *msg) {\
   if (endian ) {\
         begin = (T->dim->size) - 1; end = 0;\
         iter = decr; cond = isGreatEqThan; \
+        printf("endian(=true): the bigest index varies first, e.g:  [x0,x1,x2,...,xn] xn is the bigest index \n");\
   }else{\
         begin = 0 ; end = (T->dim->size) - 1; \
         iter = incr; cond = isLessEqThan; \
+        printf("endian(=false): the lowest index varies first, e.g:  [x0,x1,x2,...,xn] x0 is the lowest index \n");\
   }\
   for(long int i=0;i<(T->dim)->rank;++i){\
     vCoordFromLin(coord,i,T->dim);\
@@ -378,8 +380,8 @@ size_t sprint_tensor_##type(char **tensorContent,tensor_##type *T, bool withInde
     free(*tensorContent);\
     *tensorContent = NULL;  \
   }\
-  size_t sz = ((T->dim)->rank)*(32+ withIndex * 5*(T->dim)->size + 9 );\
-  printf("malloc %ld char\n",sz);\
+  size_t sz = ((T->dim)->rank)*(32+ withIndex * 5*(T->dim)->size + 129 );\
+  /*printf("malloc %ld char\n",sz);*/\
   *tensorContent = malloc(sz )  ;\
   size_t cur=0;\
   long int *coord = malloc(sizeof(long int)*(T->dim)->size); \
@@ -390,9 +392,19 @@ size_t sprint_tensor_##type(char **tensorContent,tensor_##type *T, bool withInde
   if (endian ) {\
         begin = (T->dim->size) - 1; end = 0;\
         iter = decr; cond = isGreatEqThan; \
+        val=malloc(128);\
+        sprintf(val,"endian(=true): the bigest index varies first, e.g:  [x0,x1,x2,...,xn] xn is the bigest index \n");\
+        for(size_t c=0;c<strlen(val);++c)\
+          (*tensorContent)[cur++]=val[c];\
+        free(val); val = NULL;\
   }else{\
         begin = 0 ; end = (T->dim->size) - 1; \
         iter = incr; cond = isLessEqThan; \
+        val=malloc(128);\
+        sprintf(val,"endian(=false): the lowest index varies first, e.g:  [x0,x1,x2,...,xn] x0 is the lowest index \n");\
+        for(size_t c=0;c<strlen(val);++c)\
+          (*tensorContent)[cur++]=val[c];\
+        free(val); val = NULL;\
   }\
   for(long int i=0;i<(T->dim)->rank;++i){\
     vCoordFromLin(coord,i,T->dim);\
diff --git a/tensor_t/test/is_good.c b/tensor_t/test/is_good.c
index ac4cc20..94c7de3 100644
--- a/tensor_t/test/is_good.c
+++ b/tensor_t/test/is_good.c
@@ -380,9 +380,9 @@ TEST(sprinttens){
 TEST(Split_randomInit){
   dimension *d0=create_dim(3);
 
-  d0->perm[0]=4;
+  d0->perm[0]=2;
   d0->perm[1]=3;
-  d0->perm[2]=5;
+  d0->perm[2]=4;
   
 
   updateRankDim(d0);
@@ -399,20 +399,22 @@ TEST(Split_randomInit){
 
   tensor_TYPE_FLOAT *Tpart1=NULL, *Tpart2=NULL;
 
-  split_tensor_TYPE_FLOAT(M0,&Tpart1,&Tpart2, 1, 2);
+  //split_tensor_TYPE_FLOAT(M0,&Tpart1,&Tpart2, 1, 2);
+  //split_tensor_TYPE_FLOAT(M0,&Tpart1,&Tpart2, 2, 3);
+  split_tensor_TYPE_FLOAT(M0,&Tpart1,&Tpart2, 1, 1);
 
   print_tensor_float(Tpart1, " Tpart1 1");
-  print_tensor_msg_TYPE_FLOAT(Tpart1, " Tpart1 1");
+  //print_tensor_msg_TYPE_FLOAT(Tpart1, " Tpart1 1");
   print_tensor_float(Tpart2, "Tpart2 ..");
-  print_tensor_msg_TYPE_FLOAT(Tpart2, "Tpart2 ..");
+  //print_tensor_msg_TYPE_FLOAT(Tpart2, "Tpart2 ..");
 
-  printDebug_dimension(Tpart1->dim,"dim part1 "); 
-  printDebug_dimension(Tpart2->dim,"dim part2 "); 
-  printDebug_dimension(M0->dim,"dim root "); 
+//  printDebug_dimension(Tpart1->dim,"dim part1 "); 
+//  printDebug_dimension(Tpart2->dim,"dim part2 "); 
+//  printDebug_dimension(M0->dim,"dim root "); 
 
   free_tensor_TYPE_FLOAT(M0);
-  free(Tpart1->dim);
-  free(Tpart2->dim);
+  free_dimension(Tpart1->dim);
+  free_dimension(Tpart2->dim);
   free(Tpart1);
   free(Tpart2);
 }
@@ -421,6 +423,7 @@ TEST(Split_randomInit){
 #if 1
 
 TEST(Split_randomInit){
+ endian=false;
   dimension *d0=create_dim(3);
 
   d0->perm[0]=4;
@@ -441,7 +444,9 @@ TEST(Split_randomInit){
 
   tensor_TYPE_FLOAT *Tpart1=NULL, *Tpart2=NULL;
 
-  split_tensor_TYPE_FLOAT(M0,&Tpart1,&Tpart2, 2, 1);
+  split_tensor_TYPE_FLOAT(M0,&Tpart1,&Tpart2, 2, 4);
+  //split_tensor_TYPE_FLOAT(M0,&Tpart1,&Tpart2, 0, 1);
+  //split_tensor_TYPE_FLOAT(M0,&Tpart1,&Tpart2, 2, 1);
 
   print_tensor_float(Tpart1, " Tpart1 1");
   print_tensor_float(Tpart2, "Tpart2 ..");
@@ -451,8 +456,55 @@ TEST(Split_randomInit){
   printDebug_dimension(M0->dim,"dim root "); 
 
   free_tensor_TYPE_FLOAT(M0);
-  free(Tpart1->dim);
-  free(Tpart2->dim);
+  free_dimension(Tpart1->dim);
+  free_dimension(Tpart2->dim);
+  free(Tpart1);
+  free(Tpart2);
+}
+#endif
+
+
+#if 1
+
+TEST(SplitOne_randomInit){
+  dimension *d0=create_dim(1);
+
+  d0->perm[0]=4;
+
+
+  updateRankDim(d0);
+
+
+  tensor_TYPE_FLOAT *M0 = CREATE_TENSOR_TYPE_FLOAT(d0);
+
+  LOG("M0->dim->rank = %ld\n",M0->dim->rank);
+
+  init_random_x_TYPE_FLOAT(M0,2.7,5.4,50001);
+
+  print_tensor_float(M0, "M0 random");
+
+  tensor_TYPE_FLOAT *Tpart1=NULL, *Tpart2=NULL;
+
+  if(endian){
+    split_tensor_TYPE_FLOAT(M0,&Tpart1,&Tpart2, 0, 1);
+  }else{
+    split_tensor_TYPE_FLOAT(M0,&Tpart1,&Tpart2, 0, 3);
+  }
+
+  print_tensor_float(Tpart1, " Tpart1 1");
+  print_tensor_float(Tpart2, "Tpart2 ..");
+
+  printDebug_dimension(Tpart1->dim,"dim part1 ");
+  printDebug_dimension(Tpart2->dim,"dim part2 ");
+  printDebug_dimension(M0->dim,"dim root ");
+
+  for(size_t i=0;i<(Tpart1->dim)->rank;++i) Tpart1->x[i]=0;
+  print_tensor_float(Tpart1, "Tpart1 0");
+  print_tensor_float(M0, "M0 Tpart1 0");
+
+  free_tensor_TYPE_FLOAT(M0);
+  free_dimension(Tpart1->dim);
+  free_dimension(Tpart2->dim);
   free(Tpart1);
   free(Tpart2);
 }