cannam@95: /*
cannam@95:  * Copyright (c) 2003, 2007-11 Matteo Frigo
cannam@95:  * Copyright (c) 2003, 2007-11 Massachusetts Institute of Technology
cannam@95:  *
cannam@95:  * This program is free software; you can redistribute it and/or modify
cannam@95:  * it under the terms of the GNU General Public License as published by
cannam@95:  * the Free Software Foundation; either version 2 of the License, or
cannam@95:  * (at your option) any later version.
cannam@95:  *
cannam@95:  * This program is distributed in the hope that it will be useful,
cannam@95:  * but WITHOUT ANY WARRANTY; without even the implied warranty of
cannam@95:  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
cannam@95:  * GNU General Public License for more details.
cannam@95:  *
cannam@95:  * You should have received a copy of the GNU General Public License
cannam@95:  * along with this program; if not, write to the Free Software
cannam@95:  * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
cannam@95:  *
cannam@95:  */
cannam@95: 
cannam@95: 
cannam@95: #include "ifftw.h"
cannam@95: 
cannam@95: static void dimcpy(iodim *dst, const iodim *src, int rnk)
cannam@95: {
cannam@95:      int i;
cannam@95:      if (FINITE_RNK(rnk))
cannam@95:           for (i = 0; i < rnk; ++i)
cannam@95:                dst[i] = src[i];
cannam@95: }
cannam@95: 
cannam@95: tensor *X(tensor_copy)(const tensor *sz)
cannam@95: {
cannam@95:      tensor *x = X(mktensor)(sz->rnk);
cannam@95:      dimcpy(x->dims, sz->dims, sz->rnk);
cannam@95:      return x;
cannam@95: }
cannam@95: 
cannam@95: /* like X(tensor_copy), but makes strides in-place by
cannam@95:    setting os = is if k == INPLACE_IS or is = os if k == INPLACE_OS. */
cannam@95: tensor *X(tensor_copy_inplace)(const tensor *sz, inplace_kind k)
cannam@95: {
cannam@95:      tensor *x = X(tensor_copy)(sz);
cannam@95:      if (FINITE_RNK(x->rnk)) {
cannam@95: 	  int i;
cannam@95: 	  if (k == INPLACE_OS)
cannam@95: 	       for (i = 0; i < x->rnk; ++i)
cannam@95: 		    x->dims[i].is = x->dims[i].os;
cannam@95: 	  else
cannam@95: 	       for (i = 0; i < x->rnk; ++i)
cannam@95: 		    x->dims[i].os = x->dims[i].is;
cannam@95:      }
cannam@95:      return x;
cannam@95: }
cannam@95: 
cannam@95: /* Like X(tensor_copy), but copy all of the dimensions *except*
cannam@95:    except_dim. */
cannam@95: tensor *X(tensor_copy_except)(const tensor *sz, int except_dim)
cannam@95: {
cannam@95:      tensor *x;
cannam@95: 
cannam@95:      A(FINITE_RNK(sz->rnk) && sz->rnk >= 1 && except_dim < sz->rnk);
cannam@95:      x = X(mktensor)(sz->rnk - 1);
cannam@95:      dimcpy(x->dims, sz->dims, except_dim);
cannam@95:      dimcpy(x->dims + except_dim, sz->dims + except_dim + 1,
cannam@95:             x->rnk - except_dim);
cannam@95:      return x;
cannam@95: }
cannam@95: 
cannam@95: /* Like X(tensor_copy), but copy only rnk dimensions starting
cannam@95:    with start_dim. */
cannam@95: tensor *X(tensor_copy_sub)(const tensor *sz, int start_dim, int rnk)
cannam@95: {
cannam@95:      tensor *x;
cannam@95: 
cannam@95:      A(FINITE_RNK(sz->rnk) && start_dim + rnk <= sz->rnk);
cannam@95:      x = X(mktensor)(rnk);
cannam@95:      dimcpy(x->dims, sz->dims + start_dim, rnk);
cannam@95:      return x;
cannam@95: }
cannam@95: 
cannam@95: tensor *X(tensor_append)(const tensor *a, const tensor *b)
cannam@95: {
cannam@95:      if (!FINITE_RNK(a->rnk) || !FINITE_RNK(b->rnk)) {
cannam@95:           return X(mktensor)(RNK_MINFTY);
cannam@95:      } else {
cannam@95: 	  tensor *x = X(mktensor)(a->rnk + b->rnk);
cannam@95:           dimcpy(x->dims, a->dims, a->rnk);
cannam@95:           dimcpy(x->dims + a->rnk, b->dims, b->rnk);
cannam@95: 	  return x;
cannam@95:      }
cannam@95: }