154         if( !(data->var_count == var_count &&  in CV_IMPLEMENT_QSORT_EX()
209     var_count = var_all;  in CV_IMPLEMENT_QSORT_EX()
222         var_count = var_idx->rows + var_idx->cols - 1;  in CV_IMPLEMENT_QSORT_EX()
235     CV_CALL( var_type = cvCreateMat( 1, var_count+2, CV_32SC1 ));  in CV_IMPLEMENT_QSORT_EX()
243     for( vi = 0; vi < var_count; vi++ )  in CV_IMPLEMENT_QSORT_EX()
254     var_type->data.i[var_count] = cat_var_count;  in CV_IMPLEMENT_QSORT_EX()
255     var_type->data.i[var_count+1] = cat_var_count+1;  in CV_IMPLEMENT_QSORT_EX()
279     nv_size = var_count*sizeof(int);  in CV_IMPLEMENT_QSORT_EX()
306     for( vi = 0; vi <= var_count; vi++ )  in CV_IMPLEMENT_QSORT_EX()
315         if( vi < var_count ) // analyze i-th input variable  in CV_IMPLEMENT_QSORT_EX()
338         if( vi < var_count && ci >= 0 ||  in CV_IMPLEMENT_QSORT_EX()
339             vi == var_count && is_classifier ) // process categorical variable or response  in CV_IMPLEMENT_QSORT_EX()
479         if( vi < var_count )  in CV_IMPLEMENT_QSORT_EX()
573             for( i = 0; i < var_count; i++ )  in subsample_data()
610             if( ci >= 0 || vi >= var_count )  in subsample_data()
623                 if( vi < var_count )  in subsample_data()
707                 co[i*2+1] = cur_ofs*var_count;  in get_vectors()
714         memset( missing, 1, count*var_count );  in get_vectors()
716     for( vi = 0; vi < var_count; vi++ )  in get_vectors()
725             for( i = 0; i < count; i++, dst += var_count )  in get_vectors()
733                     m += var_count;  in get_vectors()
754                     cur_ofs = idx*var_count;  in get_vectors()
758                     for( ; count_i > 0; count_i--, cur_ofs += var_count )  in get_vectors()
928     sample_count = var_all = var_count = max_c_count = ord_var_count = cat_var_count = 0;  in clear()
954     return var_count + 1 + (have_labels ? 1 : 0);  in get_work_var_count()
968     return get_cat_var_data( n, var_count );  in get_class_labels()
974     return (float*)get_cat_var_data( n, var_count );  in get_ord_responses()
980     return have_labels ? get_cat_var_data( n, var_count + 1 ) : 0;  in get_labels()
1008     int vi, vcount = var_count;  in write_params()
1012     cvWriteInt( fs, "var_count", var_count );  in write_params()
1076     var_count = cvReadIntByName( fs, node, "var_count", var_all );  in read_params()
1121             var_idx->cols + var_idx->rows - 1 != var_count ||  in read_params()
1126         for( vi = 0; vi < var_count; vi++ )  in read_params()
1132     CV_CALL( var_type = cvCreateMat( 1, var_count + 2, CV_32SC1 ));  in read_params()
1138     if( vartype_node && CV_NODE_TYPE(vartype_node->tag) == CV_NODE_INT && var_count == 1 )  in read_params()
1143             vartype_node->data.seq->total != var_count )  in read_params()
1148         for( vi = 0; vi < var_count; vi++ )  in read_params()
1157     var_type->data.i[var_count] = cat_var_count;  in read_params()
1383         for( vi = 0; vi < data->var_count; vi++ )  in try_split_node()
1532     for( vi = 0; vi < data->var_count; vi++ )  in find_best_split()
2551     for( vi = 0; vi < data->var_count; vi++ )  in split_node_data()
2605         if( ci < 0 || (vi < data->var_count && !split_input_data) )  in split_node_data()
2623         if( vi < data->var_count )  in split_node_data()
2906         _sample->cols + _sample->rows - 1 != data->var_count && preprocessed_input )  in predict()
3016         var_importance = cvCreateMat( 1, data->var_count, CV_64F );  in get_var_importance()
3206     if( (unsigned)vi >= (unsigned)data->var_count )  in read_split()