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- print usage %s: could not open file %s for %s option -%c unrecognized - ignored writing:vC:c:o:beginPolygons color(%f, %f, %f) ratio (edges among discontiguous regions vs total edges)=%f %d [label="%s", pos="%lf,%lf", fontsize=%f]; %d [label="%s", pos="%lf,%lf"]; graph map { node [margin = 0 width=0.0001 height=0.00001 shape=plaintext]; graph [outputorder=edgesfirst, bgcolor="#dae2ff"] edge [color="#55555515",fontname="Helvetica-Bold"] Graphics[(* edges of the graph*){}(* end of edges of the graph*)]nrandom=%d shore_depth_tol=%.08f n + (nz-n)*np + t < n + nz*np && n + (nz-n)*np + t >= 0after adding edge points, n:%d->%d bounding box margin: (%.06f * %.06f) highlight cluster %d, n = %d max grouping - min grouping + 1 = %d setting shore length ======%f beginPolylines strokeWeight(%f); endPolygons endPolylines c %d -%s C %d -%s P %d make_map.cline_width >= 0S %d -setlinewidth(%f) c %d -%s %s L %d c %d -%s L %d %f %f*len < *len_maxgraph->m == n!flagnpolys = %d Graphics[{}]}]ja[j] < nverts && ja[j] >= 0}],Black,RGBColor[%f,%f,%f],Hue[%f],Polygon[{{%f,%f}margin0.0001widthheightplaintextshapeHelvetica-Boldfontnameedgesfirstoutputorder#dae2ffbgcolorinvisstyle_background = "" _background%d -- %d; Text["%s",{Graphics[{Point[{Graphics[{}]Line[{{},{}}]add art np = %d bounding box margin: %.06f %.06f (%.06f * %.06f) !(*flag)nn nrandom=%d nz == n*dimnh = %d ncomps = %d ncomops = %d nn != curjj < nE->nz >= neShow[{avgsize = {%f, %f} avgdist > 0make_map_from_rectangle_groupsget_polygon_solidsget_poly_linesmake_map_internalplot_processing_polygonsplot_dot_polygonsdot_polygonplot_polysimprove_contiguityCY@???MbP???$@y@power.cK <= n && K > 0}, power_methodcountry_graph_coloring.caband_u1 >= aband_up[i] >= 0 && p[i] < n antibandwidth = %daband_u <= lambda*abandaband_u == aband_local[u]timing_greedy%f %f %f A->m == A->non entry antibandwidth = %f cpu = %f on exit antibandwidth = %f saving timing vs antiband data to timing_greedy SparseMatrix_is_symmetric(A, TRUE)[%d] aband = %f, aband_avg = %f cpu time for spectral ordering (before greedy) = %f cpu time for greedy refinement = %f cpu time for spectral + greedy = %f country_graph_coloring_internalimprove_antibandwidth_by_swappingcheck_swapimprove_antibandwidth_by_swapping_cheap333333?.Ah㈵>node_distinct_coloring.caccuracy > 0qtlablab lab_gamutrgbrgb #%02X%02X%02Xcolorsiter ---- %d ---, color_diff = %f, color_diff_sum = %f can not open file "lab_gamut" node_distinct_coloring_internal2node_distinct_coloring9B.?_@@@ffffff?ffffff?o@-C6?level=%d================= furtherest_point.c!(qt->qts)candidate %d at {}, width = %f, dist = %f %f, new distmax=%f, pt={/tmp/1.mfurtherest_point%d,%d%lf %lf %lfsize of lab gamut = %d sum = %f no color lab.cii < nc && ii > 0LAB color lightness range = %d,%d color_blend_rgb333333@)\(?zG??ܵ?ףp= )@N@aÓ?2%䃾?"~j?z6?,C?]m{?7d?,C?v?n8[@^I W@UUUUUU?0@]@i@@@?W[ @F_EGr߿S:￈c]F?sh|???ܵ?&1ʿx?såi??@{a?S%@?PriorityQueue.cqgain <= q->ngainPriorityQueue_pushpost_process.clen > 0(!jcn) && (!val)idiag >= 0ideal_dist_scheme value wrongjdiag >= 0SparseMatrix_is_symmetric(A, FALSE)SparseMatrix_is_symmetric(A, FALSE) && A->type == MATRIX_TYPE_REALpSpringSmoother_smoothSpringSmoother_newTriangleSmoother_newget_edge_label_matrixStressMajorizationSmoother_smoothSparseStressMajorizationSmoother_newStressMajorizationSmoother2_newideal_distance_matrixп@{Gz??jR@333333??spring_electrical_control: random start %d seed %d K : %.03f C : %.03f octree scheme %s method %s edge_labeling_scheme %d }}}],Hue[%f]Text[%d,{, Point[{{}},ImageSize->%f] Arrow[{{Tooltip[Point[{}],%d]dmean = %f, rho = %f send random coordinates scaling factor = %f ctrl->overlap=%d SPRING_ELECTRICALSPRING_MAXENTSTRESS_MAXENTSTRESS_APPROXUNIFORM_STRESSFULL_STRESSNONENORMALFASTHYBRIDSTRESS_MAJORIZATION_AVG_DISTSPRINGTRIANGLERNG repulsive and attractive exponents: %.03f %.03f max levels %d coarsen_scheme %d coarsen_node %d quadtree size %d max_level %d Barnes-Hutt constant %.03f tolerance %.03f maxiter %d cooling %.03f step size %.03f adaptive %d beautify_leaves %d node weights %d rotation %.03f smoothing %s overlap %d initial_scaling %.03f do_shrinking %d Graphics[{GrayLevel[0.5],Line[{Graphics3D[{GrayLevel[0.5],Line[{(*width={%f,%f}, x = {%f,%f}*){GrayLevel[.5,.5],Rectangle[{%f,%f},{%f,%f}]} iter = %d, step = %f Fnorm = %f nz = %d K = %f spring_electrical_embedding_slowQUAD_TREE_HYBRID, size larger than %d, switch to fast quadtreeSTRESS_MAJORIZATION_GRAPH_DISTSTRESS_MAJORIZATION_POWER_DISTmd-DT!?!3|@-DT!@-DT! @333333?ffffff @ffffff?Gz?V瞯<@?333333?@???p Eߑ?neighb=%d =A >D?D? AD?==lBlB=$Aremove_overlap: Graphviz not built with triangulation library Graphviz built without any triangulation library get_triangles: %s delaunay_triangulation: %s delaunay_tri: %s mkSurface: %s freeSurface: %s SparseMatrix.cA->format == FORMAT_CSRheap_ids[root] >= 0ndata->id == jj%s SparseArray[{{%d, %d}->%f{%d, %d}->%f + %f I{%d, %d}->%d{%d, %d}->_},{%d, %d}] A->format == FORMAT_COORDwbrb%d %d %d %d %d %16.8g %d %d %16.8g %16.8g A->type == B->typeA->type == MATRIX_TYPE_REALjc[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 >= 0Aroot >= 0 && root < mroot == list[0]nlist > 0A->size != 0 && nz > 0old2new[ja[i]] >= 0levelset_ptr[nlevel] == nnlist == nnlevel-1 <= khopsmask[levelset[j]] == i+1A->m == nteleport_probablity >= 0nDoondpnnnnnnnnnnnnܾ L , = RRR~SparseMatrix_page_rankSparseMatrix_distance_matrix_khopsSparseMatrix_distance_matrix_k_centersSparseMatrix_distance_matrixSparseMatrix_k_centers_userSparseMatrix_k_centersSparseMatrix_complementSparseMatrix_delete_sparse_columnsSparseMatrix_to_square_matrixSparseMatrix_get_augmentedSparseMatrix_pseudo_diameter_unweightedDijkstra_internalSparseMatrix_pseudo_diameter_weightedSparseMatrix_level_sets_internalSparseMatrix_divide_row_by_degreeSparseMatrix_coordinate_form_add_entriesSparseMatrix_sum_repeat_entriesSparseMatrix_multiply3SparseMatrix_multiplySparseMatrix_multiply_by_scalerSparseMatrix_scaled_by_vectorSparseMatrix_multiply_vectorSparseMatrix_multiply_dense2SparseMatrix_multiply_dense1SparseMatrix_addSparseMatrix_from_coordinate_arrays_internalSparseMatrix_from_coordinate_format_not_compactedSparseMatrix_from_coordinate_formatSparseMatrix_exportSparseMatrix_printSparseMatrix_print_coordSparseMatrix_print_csrSparseMatrix_is_symmetricSparseMatrix_transpose%%%%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_CSRA->type == MATRIX_TYPE_REAL || A->type == MATRIX_TYPE_INTEGERwarning: 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-10search 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] >= 0vector_float_takevector_takeirandABinaryHeap.cparentPos < h->lennodePos < h->lenh->id_to_pos[id] == posh->pos_to_id[pos] == idpos < h->lenh->id_to_pos[key_spare] < 0mask[pos_to_id[i]] == -1id_to_pos[pos_to_id[i]] == i Spare keys =%d(%d) (h->cmp)(heap[i], heap[parentPos]) >= 0BinaryHeap_sanity_checkBinaryHeap_extract_itemswapBinaryHeap_insert%d,DotIO.c#%02x%02x%02xnodeinfoFormat %d not supported weight|edgelabel|*x%lf,%lf,%lf,%lfNode "%s" lacks position info%6.2f%% done writing a total of %d edges %f stdin. nodes, edges.#808090fontcolorpoint0.03filled#FF0000#000000falseheadcliptailclipsetlinewidth(2)setlinewidth(0.5)setlinewidth(0.1)setlinewidth(0.0)wttest\Nellipse0.000010.0.5arrowsizebox|edgelabelclustercolor HERE! fontsizecan only 1, 2 or 3 dimensional color space. with color value between 0 to 1 Node "%s" pos has %d < 2 valuesNode "%s" pos has %d < 3 valuesNode "%s" pos has %d < 4 valuesError: graph %s has missing "pos" informationWarning: node %s appears in multiple clusters. no complement clustering info in dot file, using modularity clustering. Modularity = %f, ncluster=%d WARNING: pos field missing for node %d, set to origin 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== nncluster <= nassignment[i] < nclusterassignment[jj] < nclusterncluster = %d, mq = %f n == A->nmaxgain=%f, merge %d, %d maxgain <= 0verbose=%d SparseMatrix_is_symmetric(A, test_pattern_symmetry_only)assignment[i] >= 0 && assignment[i] < ngain in merging node %d with node %d = %f-%f = %f maxgain=%f, merge with existing cluster %d, %d gain: %f -- no gain, skip merging node %d mq = %f new mq = %f level = %d, n = %d, nc = %d, gain = %g, mq_in = %f, mq_out = %f hierachical_mq_clusteringmq_clusteringMultilevel_MQ_Clustering_establishget_mqMultilevel_MQ_Clustering_initclustering.cn < target modularity = %f new modularity = %f level = %d, n = %d, nc = %d, gain = %g ncluster_target = %d, close to n=%d Multilevel_Modularity_Clustering_establishMultilevel_Modularity_Clustering_inithierachical_modularity_clusteringmodularity_clusteringQuadTree.cqt1->n > 0 && qt2->n > 0wgt > 0(*in c*){Line[{,{%f, %f},{%f, %f, %f}},}]}(*end C*),(*a*) {Red,(*node %d*) Point[{,(*b*){iq >= 0width > 0!(q->l)ii < 1<= 0q->qts[ii]q->n == 1!(q->qts)q->lGraphics3D[{}, PlotRange -> All] }, PlotRange -> All, Frame -> True, FrameTicks -> True] QuadTree_get_nearest_internalQuadTree_add_internalQuadTree_newQuadTree_repulsive_force_accumulateQuadTree_repulsive_force_interactkNu>p= ף?ingraphs: out of memory ingraphs: NULL graph reader <>Can't open %s ingraphs: NULL field in ingdisc argument /%s/%s#%2x%2x%2x%2x%lf%lf%lfX11/%.03f %.03f %.03f 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