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comparison src/DLD-FUNCTIONS/ccolamd.cc @ 13219:cf5ebc0e47e4

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fix warnings for unused but set variables and shadowed variables * quadcc.cc (Fquadcc): Delete unused variable err_excess. * find.cc (find_nonzero_elem_idx (const PermMatrix&, int, octave_idx_type, int)): Delete unused variable end_nc. * eigs.cc (Feigs): Delete unused variable bmat. * conv2.cc (Fconvn): Delete unused variable separable. * colamd.cc (Fetree, Fsymamd): Delete unused variable nnz. * ccolamd.cc (Fcsymamd): Delete unused variable nnz. * pt-pr-code.cc (tree_print_code::visit_index_expression): Delete unused variable expr_has_parens. * pt-mat.cc (tree_matrix::rvalue1): Delete unused variables all_complex_p and all_strings_p (tm_const::init): Eliminate shadowed variables. * gl-render.cc (opengl_renderer::draw_image): Delete unused variable ok.
author John W. Eaton <jwe@octave.org>
date Sun, 25 Sep 2011 16:52:23 -0400
parents 12df7854fa7c
children 72c96de7a403
comparison
equal deleted inserted replaced
13218:01b7a60e2ff0 13219:cf5ebc0e47e4
451 octave_stdout << "knobs(3): " << User_knobs (2) 451 octave_stdout << "knobs(3): " << User_knobs (2)
452 << ", statistics and knobs printed\n"; 452 << ", statistics and knobs printed\n";
453 } 453 }
454 } 454 }
455 455
456 octave_idx_type n_row, n_col, nnz; 456 octave_idx_type n_row, n_col;
457 octave_idx_type *ridx, *cidx; 457 octave_idx_type *ridx, *cidx;
458 SparseMatrix sm; 458 SparseMatrix sm;
459 SparseComplexMatrix scm; 459 SparseComplexMatrix scm;
460 460
461 if (args(0).is_sparse_type ()) 461 if (args(0).is_sparse_type ())
463 if (args(0).is_complex_type ()) 463 if (args(0).is_complex_type ())
464 { 464 {
465 scm = args(0).sparse_complex_matrix_value (); 465 scm = args(0).sparse_complex_matrix_value ();
466 n_row = scm.rows (); 466 n_row = scm.rows ();
467 n_col = scm.cols (); 467 n_col = scm.cols ();
468 nnz = scm.nnz ();
469 ridx = scm.xridx (); 468 ridx = scm.xridx ();
470 cidx = scm.xcidx (); 469 cidx = scm.xcidx ();
471 } 470 }
472 else 471 else
473 { 472 {
474 sm = args(0).sparse_matrix_value (); 473 sm = args(0).sparse_matrix_value ();
475 n_row = sm.rows (); 474 n_row = sm.rows ();
476 n_col = sm.cols (); 475 n_col = sm.cols ();
477 nnz = sm.nnz ();
478 ridx = sm.xridx (); 476 ridx = sm.xridx ();
479 cidx = sm.xcidx (); 477 cidx = sm.xcidx ();
480 } 478 }
481 } 479 }
482 else 480 else
486 else 484 else
487 sm = SparseMatrix (args(0).matrix_value ()); 485 sm = SparseMatrix (args(0).matrix_value ());
488 486
489 n_row = sm.rows (); 487 n_row = sm.rows ();
490 n_col = sm.cols (); 488 n_col = sm.cols ();
491 nnz = sm.nnz ();
492 ridx = sm.xridx (); 489 ridx = sm.xridx ();
493 cidx = sm.xcidx (); 490 cidx = sm.xcidx ();
494 } 491 }
495 492
496 if (n_row != n_col) 493 if (n_row != n_col)