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HH[]f D AWIAVIAUAATL%: UH-: SL)HHt 1 LLDAHH9uH[]A\A]A^A_ff. HH Usage: %s [-uvcl] [-o file] matrix_market_filename
-u - make graph undirected
-U i - treat non-square matrix as a bipartite graph
i = 0 never
i = 1 if pattern unsymmetric (default)
i = 2 if matrix unsymmetric
i = 3 always
-v - assign len to edges
-c - assign color and wt to edges
-l - add label
-o - output file
Warning: input matrix has no values, -c flag ignored
Warning: input has no coordinates, -c flag ignored
%s: option -%c missing argument - ignored
%s: option -%c unrecognized - ignored
Unable to read input file "%s"
reading writing Could not open %s for %s
G . nodes, edges. label nodeinfo wt black bgcolor stdin w :o:uvclU: cannot import from file %s
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%s %s %s %s %s %%MatrixMarket matrix coordinate array real complex pattern integer general hermitian skew-symmetric %d %d %d %d %d %lg %lg in file [%s]
Market Market type: [%s]
stdout %s %d %d %20.16g
%d %d %20.16g %20.16g
mm_read_unsymetric: Could not process Matrix Market banner Sorry, this application does not support read_unsymmetric_sparse(): could not parse matrix size.
SparseMatrix.c A->format == FORMAT_CSR m == A->n h heap_ids[root] >= 0 ndata->id == jj %s
SparseArray[{ {%d, %d}->%f {%d, %d}->%f + %f I {%d, %d}->%d {%d, %d}->_ },{%d, %d}]
A->format == FORMAT_COORD wb rb %d %d %16.8g
%d %d %16.8g %16.8g
A->type == B->type A->type == MATRIX_TYPE_REAL jc[mask[jb[k]]] == jb[k] jd[mask[jc[k]]] == jc[k] ja[mask[ja[j]]] == ja[j] id < n*(ymax-ymin+1) ja[mask[id]] == ja[j] m > 0 && n > 0 && nz >= 0 A root >= 0 && root < m root == list[0] nlist > 0 A->size != 0 && nz > 0 old2new[ja[i]] >= 0 levelset_ptr[nlevel] == n nlist == n !flag nlevel-1 <= khops mask[levelset[j]] == i+1 A->m == n teleport_probablity >= 0 01202000100000000',l'\''''''''''\|ֲ\\\\\\\\\\\\δ SparseMatrix_page_rank SparseMatrix_distance_matrix_khops SparseMatrix_distance_matrix_k_centers SparseMatrix_distance_matrix SparseMatrix_k_centers_user SparseMatrix_k_centers SparseMatrix_complement SparseMatrix_delete_sparse_columns SparseMatrix_to_square_matrix SparseMatrix_get_augmented SparseMatrix_pseudo_diameter_unweighted Dijkstra_internal SparseMatrix_pseudo_diameter_weighted SparseMatrix_level_sets_internal SparseMatrix_divide_row_by_degree SparseMatrix_coordinate_form_add_entries SparseMatrix_sum_repeat_entries SparseMatrix_multiply3 SparseMatrix_multiply SparseMatrix_multiply_by_scaler SparseMatrix_scaled_by_vector SparseMatrix_multiply_vector SparseMatrix_multiply_dense2 SparseMatrix_multiply_dense1 SparseMatrix_add SparseMatrix_from_coordinate_arrays_internal SparseMatrix_from_coordinate_format_not_compacted SparseMatrix_from_coordinate_format SparseMatrix_export SparseMatrix_print SparseMatrix_print_coord SparseMatrix_print_csr SparseMatrix_is_symmetric SparseMatrix_transpose SparseMatrix_is_symmetric(A, TRUE) %%%%MatrixMarket matrix coordinate real general
%%%%MatrixMarket matrix coordinate complex general
%%%%MatrixMarket matrix coordinate integer general
%%%%MatrixMarket matrix coordinate pattern general
A->format == B->format && A->format == FORMAT_CSR A->type == MATRIX_TYPE_REAL || A->type == MATRIX_TYPE_INTEGER warning: scaling of matrix this type is not supported
dist[list[nlist-1]] == dist_max (dist_max - dist0)/MAX(1, MAX(ABS(dist0), ABS(dist_max))) < 1.e-10 search for diameter again from root=%d
after aggressive search for diameter, diam = %f, ends = {%d,%d}
page rank iter -- %d, res = %f
Hz>Hz |= 7yACؗҜ 1 %s{ } p[i] < n && p[i] >= 0 vector_float_take vector_take irand AV瞯len nodePos < h->len h->id_to_pos[id] == pos h->pos_to_id[pos] == id pos < h->len h->id_to_pos[key_spare] < 0 mask[pos_to_id[i]] == -1 id_to_pos[pos_to_id[i]] == i
Spare keys = %d(%d) (h->cmp)(heap[i], heap[parentPos]) >= 0 BinaryHeap_sanity_check BinaryHeap_extract_item swap BinaryHeap_insert $@?%d, out of memory
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