1.6.0-DEV-cbd854b0f4.log

Julia Version 1.6.0-DEV.185
Commit cbd854b0f4 (2020-06-06 13:20 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
  CPU: Intel(R) Xeon(R) Silver 4114 CPU @ 2.20GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-9.0.1 (ORCJIT, skylake)
Environment:
  JULIA_DEPOT_PATH = ::/usr/local/share/julia
  JULIA_NUM_THREADS = 2

  Resolving package versions...
  Installed Compat ────────────── v2.2.0
  Installed URIParser ─────────── v0.4.1
  Installed BinDeps ───────────── v0.8.10
  Installed BinaryProvider ────── v0.5.10
  Installed DocStringExtensions ─ v0.8.1
  Installed Triangulate ───────── v0.4.3
Updating `~/.julia/environments/v1.6/Project.toml`
  [f7e6ffb2] + Triangulate v0.4.3
Updating `~/.julia/environments/v1.6/Manifest.toml`
  [9e28174c] + BinDeps v0.8.10
  [b99e7846] + BinaryProvider v0.5.10
  [34da2185] + Compat v2.2.0
  [ffbed154] + DocStringExtensions v0.8.1
  [f7e6ffb2] + Triangulate v0.4.3
  [30578b45] + URIParser v0.4.1
  [2a0f44e3] + Base64
  [ade2ca70] + Dates
  [8bb1440f] + DelimitedFiles
  [8ba89e20] + Distributed
  [b77e0a4c] + InteractiveUtils
  [76f85450] + LibGit2
  [8f399da3] + Libdl
  [37e2e46d] + LinearAlgebra
  [56ddb016] + Logging
  [d6f4376e] + Markdown
  [a63ad114] + Mmap
  [44cfe95a] + Pkg
  [de0858da] + Printf
  [3fa0cd96] + REPL
  [9a3f8284] + Random
  [ea8e919c] + SHA
  [9e88b42a] + Serialization
  [1a1011a3] + SharedArrays
  [6462fe0b] + Sockets
  [2f01184e] + SparseArrays
  [10745b16] + Statistics
  [8dfed614] + Test
  [cf7118a7] + UUIDs
  [4ec0a83e] + Unicode
   Building Triangulate → `~/.julia/packages/Triangulate/SUpBB/deps/build.log`
    Testing Triangulate
Status `/tmp/jl_cIaYsc/Project.toml`
  [9e28174c] BinDeps v0.8.10
  [b99e7846] BinaryProvider v0.5.10
  [ffbed154] DocStringExtensions v0.8.1
  [f7e6ffb2] Triangulate v0.4.3
  [8f399da3] Libdl
  [de0858da] Printf
  [8dfed614] Test
Status `/tmp/jl_cIaYsc/Manifest.toml`
  [9e28174c] BinDeps v0.8.10
  [b99e7846] BinaryProvider v0.5.10
  [34da2185] Compat v2.2.0
  [ffbed154] DocStringExtensions v0.8.1
  [f7e6ffb2] Triangulate v0.4.3
  [30578b45] URIParser v0.4.1
  [2a0f44e3] Base64
  [ade2ca70] Dates
  [8bb1440f] DelimitedFiles
  [8ba89e20] Distributed
  [b77e0a4c] InteractiveUtils
  [76f85450] LibGit2
  [8f399da3] Libdl
  [37e2e46d] LinearAlgebra
  [56ddb016] Logging
  [d6f4376e] Markdown
  [a63ad114] Mmap
  [44cfe95a] Pkg
  [de0858da] Printf
  [3fa0cd96] REPL
  [9a3f8284] Random
  [ea8e919c] SHA
  [9e88b42a] Serialization
  [1a1011a3] SharedArrays
  [6462fe0b] Sockets
  [2f01184e] SparseArrays
  [10745b16] Statistics
  [8dfed614] Test
  [cf7118a7] UUIDs
  [4ec0a83e] Unicode
Directory /home/pkgeval/.julia/packages/Triangulate/SUpBB/test:
  runtests:
  test_ctriangulate:
   compile:  1.254187 seconds (1.52 M allocations: 79.509 MiB, 9.73% gc time)
       run:  0.001795 seconds (67 allocations: 4.656 KiB)
  test_ctriangulate_catch_exit:
   compile:  0.072956 seconds (99.29 k allocations: 5.253 MiB)
       run:  0.000571 seconds (54 allocations: 3.703 KiB)
  test_examples:
   compile:Testing example_cdt...
TriangulateIO(
pointlist=[0.2 0.7 1.0 0.5 0.4 0.6 0.3 0.9; 0.7 0.8 1.0 0.1 0.8 1.0 0.6 0.8],
segmentlist=Int32[1 7 1; 2 6 8],
segmentmarkerlist=Int32[2, 3, 4],
)
TriangulateIO(
pointlist=[0.2 0.7 1.0 0.5 0.4 0.6 0.3 0.9 0.40588235294117647 0.39599999999999996; 0.7 0.8 1.0 0.1 0.8 1.0 0.6 0.8 0.7411764705882353 0.728],
pointmarkerlist=Int32[2, 2, 1, 1, 0, 3, 3, 4, 2, 3],
trianglelist=Int32[1 4 1 1 8 2 2 10 3 4 6 1 6; 9 7 5 10 10 8 10 2 6 10 5 7 9; 5 1 6 9 4 3 8 9 2 7 9 10 2],
segmentlist=Int32[1 9 10 9 10 1 10 8 3 6 1 4; 9 2 9 6 7 10 8 4 8 3 6 1],
segmentmarkerlist=Int32[2, 2, 3, 3, 3, 4, 4, 1, 1, 1, 1, 1],
)
Testing example_convex_hull...
TriangulateIO(
pointlist=[0.9 0.7 0.5 0.1 0.5 0.1 0.5 0.6; 0.7 0.8 0.4 1.0 0.2 0.2 0.5 0.7],
)
TriangulateIO(
pointlist=[0.9 0.7 0.5 0.1 0.5 0.1 0.5 0.6; 0.7 0.8 0.4 1.0 0.2 0.2 0.5 0.7],
pointmarkerlist=Int32[1, 1, 0, 1, 1, 1, 0, 0],
trianglelist=Int32[6 7 6 5 7 8 1 7 8; 5 6 7 1 8 7 2 3 2; 3 3 4 3 4 1 8 1 4],
)
Testing example_convex_hull_voronoi...
TriangulateIO(
pointlist=[0.4 0.3 0.4 0.1 0.3 0.5 0.2 0.6; 0.5 0.8 0.1 0.6 0.1 0.3 1.0 0.1],
)
TriangulateIO(
pointlist=[0.4 0.3 0.4 0.1 0.3 0.5 0.2 0.6; 0.5 0.8 0.1 0.6 0.1 0.3 1.0 0.1],
pointmarkerlist=Int32[0, 1, 1, 1, 1, 0, 1, 1],
trianglelist=Int32[2 2 4 3 6 1 2 6; 4 7 5 8 8 5 1 5; 1 4 1 6 2 6 6 3],
)
TriangulateIO(
pointlist=[0.275 0.08333333333333331 0.18076923076923085 0.5 4.650000000000004 0.2833333333333333 2.1500000000000012 0.35; 0.625 0.8166666666666667 0.3423076923076923 0.175 2.2500000000000018 0.31666666666666665 1.2500000000000004 0.25],
edgelist=Int32[1 1 1 2 2 3 3 4 4 4 5 5 6 6 8; 2 3 7 -1 -1 -1 6 -1 5 8 -1 7 8 7 -1],
normlist=[0.0 0.0 0.0 0.19999999999999996 -0.4 -0.5 0.0 0.0 0.0 0.0 0.7000000000000001 0.0 0.0 0.0 0.0; 0.0 0.0 0.0 0.09999999999999998 0.1 -0.19999999999999998 0.0 -0.19999999999999996 0.0 0.0 0.3 0.0 0.0 0.0 -0.10000000000000003],
)
Testing example_convex_hull_voronoi_delaunay...
TriangulateIO(
pointlist=[0.2 0.1 0.4 0.8 0.3 0.1 1.0 0.7 0.4 1.0; 0.4 0.9 0.3 0.4 0.6 0.4 1.0 0.5 0.9 0.5],
)
TriangulateIO(
pointlist=[0.2 0.1 0.4 0.8 0.3 0.1 1.0 0.7 0.4 1.0 0.25 0.6000000000000001 0.55 0.1 0.175 0.32500000000000007 0.2125 0.43750000000000006 0.3812500000000001; 0.4 0.9 0.3 0.4 0.6 0.4 1.0 0.5 0.9 0.5 0.35000000000000003 0.35000000000000003 0.9500000000000001 0.65 0.37500000000000006 0.925 0.36250000000000004 0.9375 0.93125],
pointmarkerlist=Int32[0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
trianglelist=Int32[3 9 1 14 1 5 12 1 8 4 7 7 8 2 16 8 1 5 1 9 9; 5 19 14 1 11 9 5 17 4 8 13 8 13 14 14 9 6 12 15 13 18; 11 16 6 5 5 16 3 11 10 12 8 10 9 16 5 5 15 8 17 18 19],
segmentlist=Int32[3 4 10 7 2 6 11 12 13 14 15 16 17 18 19; 11 12 4 10 16 14 17 3 7 2 6 19 15 13 18],
segmentmarkerlist=Int32[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
)
TriangulateIO(
pointlist=[0.36875 0.35677083333333337 0.15 0.17777777777777776 0.31666666666666665 0.3125 0.45961538461538465 0.24375 0.85 0.6950000000000001 0.7964285714285714 0.85 0.55 0.2277777777777778 0.23584905660377362 0.5346153846153846 0.15000000000000002 0.49464285714285716 0.196875 0.5062500000000002 0.41015625000000006; 0.45625 0.8953125000000001 0.525 0.5361111111111111 0.4666666666666667 0.7625 0.4865384615384616 0.39375000000000004 0.55 0.395 0.7821428571428571 0.75 0.7000000000000001 0.775 0.7683962264150944 0.6884615384615385 0.4250000000000001 0.5285714285714286 0.37812500000000004 0.8312499999999998 0.92734375],
edgelist=Int32[1 1 1 2 2 2 3 3 3 4 4 5 6 6 7 7 8 8 9 9 9 10 10 11 11 11 12 13 13 14 14 14 16 17 17 19 20 20 21; 7 5 -1 21 -1 6 4 -1 17 5 15 8 16 15 18 -1 19 -1 10 -1 12 18 -1 -1 13 12 -1 20 16 -1 15 -1 18 -1 19 -1 -1 21 -1],
normlist=[0.0 0.0 -0.050000000000000044 0.0 -0.006249999999999978 0.0 0.0 -0.25 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.050000000000000044 0.0 -0.012500000000000011 0.0 0.09999999999999998 0.0 0.0 0.04999999999999999 -0.04999999999999993 0.0 0.0 0.5 0.0 0.0 -0.25 0.0 -0.025000000000000022 0.0 -0.024999999999999967 0.0 -0.012500000000000011 -0.012500000000000067 0.0 -0.006249999999999978; 0.0 0.0 -0.15000000000000002 0.0 0.05625000000000002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -0.20000000000000007 0.0 -0.037500000000000006 0.0 -0.19999999999999996 0.0 0.0 -0.19999999999999996 0.44999999999999996 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.22500000000000006 0.0 -0.07499999999999998 0.0 -0.037500000000000006 0.11249999999999999 0.0 0.05624999999999997],
)
Testing example_convex_hull_with_boundary...
TriangulateIO(
pointlist=[0.5 0.3 0.6 0.5 0.3 0.6 0.1 0.4 0.7; 0.2 0.4 1.0 1.0 0.6 0.7 0.4 0.7 0.2],
)
TriangulateIO(
pointlist=[0.5 0.3 0.6 0.5 0.3 0.6 0.1 0.4 0.7; 0.2 0.4 1.0 1.0 0.6 0.7 0.4 0.7 0.2],
pointmarkerlist=Int32[1, 0, 1, 1, 0, 0, 1, 0, 1],
trianglelist=Int32[7 2 5 8 2 7 1 4 4 3 6; 2 7 8 5 6 5 9 6 8 6 2; 5 1 4 2 8 4 6 3 6 9 1],
segmentlist=Int32[1 9 3 4 7; 7 1 9 3 4],
segmentmarkerlist=Int32[1, 1, 1, 1, 1],
)
Testing example_domain_bcdt_area...
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0; 0.0 0.0 1.0 0.6 1.0],
segmentlist=Int32[1 2 3 4 5; 2 3 4 5 1],
segmentmarkerlist=Int32[1, 2, 3, 4, 5],
)
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0 1.0 1.0 0.8232233047033631 0.7116116523516816 0.5 0.75 0.75 1.0 0.78 0.0 0.42999999999999994 0.20801257358446093 0.0 0.25 0.0 0.2003488372093023 0.4040062867922305 0.19648288118364207; 0.0 0.0 1.0 0.6 1.0 0.5 0.75 0.8232233047033631 0.7116116523516816 0.0 0.25 0.0 0.25 0.47000000000000003 0.5 0.31999999999999995 0.8613249509436927 0.75 0.0 0.25 0.37499999999999994 0.7306624754718463 0.625],
pointmarkerlist=Int32[1, 1, 2, 3, 4, 2, 2, 3, 3, 1, 0, 1, 2, 0, 5, 0, 4, 5, 1, 5, 0, 4, 0],
trianglelist=Int32[7 10 9 11 14 14 9 7 10 6 11 11 14 16 18 18 19 17 16 16 19 21 15 21 22 17; 3 16 4 12 11 16 14 8 11 14 10 2 6 14 23 15 20 5 23 4 21 19 20 23 23 23; 8 19 14 2 13 11 7 9 16 13 12 13 7 4 17 23 1 18 21 22 20 16 21 15 16 22],
segmentlist=Int32[2 3 9 17 1 6 7 8 9 10 12 13 15 17 18 19 20 22; 12 7 4 5 20 13 6 3 8 19 10 2 18 22 5 1 15 4],
segmentmarkerlist=Int32[1, 2, 3, 4, 5, 2, 2, 3, 3, 1, 1, 2, 5, 4, 5, 1, 5, 4],
)
Testing example_domain_cdt...
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0; 0.0 0.0 1.0 0.6 1.0],
segmentlist=Int32[1 2 3 4 5; 2 3 4 5 1],
segmentmarkerlist=Int32[1, 2, 3, 4, 5],
)
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0; 0.0 0.0 1.0 0.6 1.0],
pointmarkerlist=Int32[1, 1, 2, 3, 4],
trianglelist=Int32[5 4 2; 1 2 4; 4 3 1],
segmentlist=Int32[2 3 3 4 1; 1 2 4 5 5],
segmentmarkerlist=Int32[1, 2, 3, 4, 5],
)
Testing example_domain_cdt_area...
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0; 0.0 0.0 1.0 0.6 1.0],
segmentlist=Int32[1 2 3 4 5; 2 3 4 5 1],
segmentmarkerlist=Int32[1, 2, 3, 4, 5],
)
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0 1.0 0.8499999999999999 0.519698275862069 0.9761363636363637 0.7791666666666667 0.5 0.75 0.3 0.25000000000000006 0.0 0.013023493015566375 0.27768888356585186 0.3954940894635275 0.05; 0.0 0.0 1.0 0.6 1.0 0.5 0.75 0.3050502873563218 0.25 0.4666666666666667 0.0 0.10227530991735542 0.8 0.16930460665079347 0.5 0.25 0.45008245947260983 0.6182411341952913 0.75],
pointmarkerlist=Int32[1, 1, 2, 3, 4, 2, 0, 0, 0, 0, 1, 0, 4, 0, 5, 0, 0, 0, 0],
trianglelist=Int32[3 15 7 8 18 8 2 10 2 10 7 12 15 12 11 1 14 17 16 17 5 1 17 4 19 5 17; 4 1 6 12 8 10 9 7 6 9 10 8 16 9 2 11 11 14 14 8 19 14 18 13 18 15 19; 7 16 3 10 4 4 12 4 9 6 6 11 17 10 12 14 8 8 17 18 13 16 19 18 13 19 15],
segmentlist=Int32[2 3 3 13 1 6 11 15 13; 11 6 4 5 15 2 1 5 4],
segmentmarkerlist=Int32[1, 2, 3, 4, 5, 2, 1, 5, 4],
)
Testing example_domain_holes...
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.0 0.2 0.3 0.3 0.2 0.6 0.7 0.7 0.6; 0.0 0.0 1.0 1.0 0.2 0.2 0.3 0.3 0.6 0.6 0.7 0.7],
segmentlist=Int32[1 2 3 4 5 6 7 8 9 10 11 12; 2 3 4 1 6 7 8 5 10 11 12 9],
segmentmarkerlist=Int32[1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3],
holelist=[0.25 0.65; 0.25 0.65],
)
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.0 0.2 0.3 0.3 0.2 0.6 0.7 0.7 0.6 0.5 0.0 0.5 1.0 0.25 0.6499999999999999 0.0 0.25 0.06700102237469 0.7983803663340345 0.25 0.65 0.4807123361519714 0.10624999999999998 0.25 0.4142857142857143 0.75 1.0 0.25 0.225 0.225 0.275 0.275 0.25122619825160775 0.375 0.3439916674134882 0.31157084540174435 0.18433660284195283 0.303237252752762 0.15526651766731464 0.3125 0.125 0.18868216660460987 0.19448653552079964 0.20024721171123608 0.2785955621925921 0.31159869362994336 0.28643365310659924 0.356940281988651 0.25762915860211805 0.28783196797791705 0.33320440626033193 0.4498257319443654 0.35257011555356416 0.31848908376998064 0.39726529471106486 0.3406774106473134 0.34375 0.36774991327426515 0.3859605033971139 0.3926209270881696 0.4375 0.40625 0.4294227291634657 0.46875 0.625 0.4703252453518361 0.75 0.45830717927461156 0.42894894503231284 0.5001240819366922 0.4487171527823294 0.39843896312329324 0.21770731305807609 0.22205412935940563 0.13589643411486416 0.1865159358536873 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147 381 356 775 385 45 86 130 224 6 83 186 42 233 203 323 358 468 339 433 436 35 99 35 33 33 36 53 35 35 36 36 38 58 36 49 39 38 94 90 77 23 105 40 61 48 76 72 45 42 79 85 47 47 85 23 50 56 43 59 58 53 53 60 54 54 60 75 50 51 57 56 59 111 59 59 37 66 51 58 63 71 62 62 67 65 37 64 67 67 631 139 568 567 567 571 67 69 72 72 79 547 569 74 75 72 93 77 46 89 80 76 80 88 234 89 125 229 124 83 82 85 90 90 79 95 44 89 89 95 90 96 132 133 94 44 88 93 42 105 108 99 78 496 628 133 106 98 101 101 98 496 103 95 5 207 42 104 235 106 110 91 108 107 110 110 111 81 83 25 113 113 553 548 82 231 82 116 6 118 118 234 118 112 81 81 151 234 122 121 127 123 124 124 117 117 145 153 136 235 134 235 147 171 130 129 8 194 132 132 1 1 138 134 138 142 136 151 121 137 137 138 232 178 546 209 217 188 142 142 141 143 403 159 145 155 126 142 149 166 149 182 145 148 25 150 151 151 172 179 153 167 154 154 155 155 161 198 162 180 126 158 182 243 153 164 178 156 174 157 183 165 153 164 159 264 253 166 27 167 170 176 27 168 254 211 186 171 172 172 144 196 486 238 432 239 7 176 171 172 195 162 179 180 180 492 181 163 242 162 183 184 184 185 185 169 176 265 187 188 178 139 219 144 189 191 198 192 192 621 497 211 626 195 195 196 224 197 488 199 199 208 490 511 197 214 532 24 489 170 501 204 206 131 131 485 26 26 106 208 208 212 220 223 512 170 211 190 212 213 212 217 222 218 223 513 511 217 217 221 218 231 573 213 573 221 225 222 218 218 551 224 512 225 141 226 226 227 140 227 228 557 550 230 230 115 140 231 232 233 234 234 235 266 262 392 450 238 238 243 241 28 247 241 250 307 241 243 241 299 240 256 246 246 246 247 295 346 289 249 249 268 20 251 246 263 254 256 27 236 253 277 259 256 256 257 258 258 260 252 280 504 505 286 350 257 260 250 261 264 264 254 265 266 271 267 267 252 285 274 262 285 276 271 271 276 203 274 272 277 280 280 278 270 289 306 273 275 286 268 277 281 275 318 295 305 281 281 263 284 286 286 296 303 249 309 290 276 290 292 600 275 290 292 14 280 496 194 295 299 328 296 297 297 298 28 302 301 475 368 295 301 332 318 299 344 332 304 288 288 485 506 307 307 329 330 309 309 446 362 410 302 302 304 315 320 349 314 331 314 313 318 317 284 316 316 333 283 320 278 321 320 279 335 28 323 395 324 327 325 330 300 327 300 328 328 347 383 337 387 357 332 342 332 319 333 355 322 393 350 376 337 337 326 359 337 338 311 379 356 341 311 601 445 390 348 342 440 354 302 356 334 310 340 602 602 432 350 350 335 351 334 310 353 291 311 355 372 368 372 342 377 407 400 374 361 358 300 21 311 445 347 420 405 347 416 407 331 390 424 373 322 379 368 362 360 279 368 370 314 314 603 383 376 375 310 377 359 367 385 422 478 381 397 349 374 383 421 354 385 409 336 381 386 392 12 400 364 390 390 391 391 403 392 354 394 388 394 324 449 396 434 367 389 398 394 376 396 437 464 466 402 469 237 395 526 463 469 389 406 451 407 407 447 455 378 409 407 447 415 420 365 412 360 360 340 340 410 428 378 411 349 384 418 384 421 4 424 427 382 422 381 380 416 380 378 385 424 428 380 429 427 429 431 425 370 28 174 433 433 400 396 396 608 436 436 484 437 11 462 465 406 440 440 443 445 477 447 443 443 444 326 457 408 446 452 445 453 448 448 449 432 450 432 464 454 453 476 408 454 364 456 456 395 457 458 459 157 746 435 735 653 438 438 463 463 465 466 465 401 484 402 474 402 618 473 15 476 454 471 471 614 480 473 472 468 468 465 477 15 477 366 478 479 481 480 401 401 479 404 608 481 484 204 485 486 487 197 493 489 237 524 543 491 491 490 492 492 493 488 495 499 504 294 102 629 497 193 495 495 306 503 501 501 624 622 623 503 280 504 505 505 506 504 503 507 508 508 509 509 542 699 514 511 512 512 224 746 201 514 515 515 516 216 522 652 525 530 687 543 585 517 523 526 210 522 523 523 524 524 577 525 532 518 633 518 520 529 747 489 530 534 531 22 538 546 530 639 536 543 201 530 534 538 517 631 140 550 595 542 652 731 665 510 10 520 653 531 546 550 545 551 547 655 540 577 547 572 575 231 548 116 552 82 553 657 554 551 560 562 555 674 657 662 558 564 229 561 561 561 561 564 571 656 583 564 564 68 661 572 578 567 13 561 69 569 568 68 661 571 565 572 572 220 573 574 574 575 550 576 582 577 577 659 578 531 586 584 584 674 581 583 582 563 581 684 582 579 591 580 592 585 587 648 699 595 520 590 594 591 586 592 586 688 598 598 589 703 594 701 646 698 593 598 598 599 599 600 600 601 601 602 602 603 603 365 373 605 604 606 606 157 607 435 751 609 608 609 767 611 610 612 482 751 781 612 617 751 615 616 616 769 617 618 618 619 619 620 626 624 621 500 622 500 622 624 628 625 627 627 97 628 628 629 503 632 534 631 631 632 632 636 636 643 635 635 636 641 703 637 638 639 636 639 644 639 742 633 756 643 642 644 644 519 649 647 647 589 647 597 648 649 649 731 735 748 10 652 653 652 654 654 655 670 663 656 657 657 229 655 664 664 799 671 661 668 662 662 558 659 666 663 665 566 682 581 664 671 565 70 671 719 661 668 680 675 563 660 673 667 674 689 691 672 563 672 677 693 579 681 677 805 679 802 805 683 682 711 587 677 687 678 807 687 687 2 679 707 708 669 724 695 678 711 690 712 718 683 807 695 709 692 84 696 698 706 699 537 704 704 700 701 588 704 705 704 588 698 704 596 801 707 708 710 706 707 597 683 807 694 694 693 714 712 714 714 692 718 692 716 717 718 717 715 685 722 726 719 722 724 726 691 727 724 725 725 726 725 727 728 648 743 755 752 749 541 733 732 732 534 735 643 734 740 734 755 749 740 737 738 642 738 30 740 755 745 742 740 737 741 744 744 745 741 746 651 747 747 745 730 748 749 750 746 730 610 729 610 762 753 753 754 757 764 768 756 757 757 781 753 757 760 742 764 30 613 766 765 771 763 778 760 766 766 767 762 773 768 774 769 782 791 771 773 776 796 786 780 769 775 764 778 782 776 29 791 780 786 780 761 780 794 781 783 773 784 788 779 789 777 786 788 790 784 789 789 787 787 795 792 780 791 777 793 29 770 613 776 796 792 797 798 792 697 799 801 802 681 689 804 666 806 807 527; 36 486 775 104 263 33 166 246 142 197 118 128 526 39 327 31 532 247 517 192 5 25 392 158 374 402 614 426 47 87 177 516 35 55 187 78 6 258 325 287 474 341 490 608 33 91 6 5 32 34 57 31 34 32 23 54 111 41 59 34 117 103 52 76 48 100 87 54 49 79 63 5 46 46 50 45 46 23 85 49 57 53 51 55 52 50 57 38 41 62 74 57 75 53 59 63 124 49 56 60 65 63 125 62 72 60 63 64 66 65 67 13 71 632 25 71 568 73 562 73 72 69 74 76 114 69 55 58 75 96 46 77 78 46 52 78 44 122 87 38 560 113 74 113 52 40 17 89 88 88 79 88 96 76 101 95 103 88 94 78 99 100 627 109 93 101 621 107 92 105 100 78 100 97 26 94 132 205 26 45 627 129 104 107 99 132 102 97 99 55 117 113 134 82 230 552 551 569 114 553 115 233 6 39 233 117 134 120 121 135 7 120 123 128 128 55 112 125 38 126 158 137 147 25 130 235 167 128 177 204 131 93 108 133 92 25 137 139 127 128 142 137 121 138 137 150 173 219 220 214 190 136 141 225 126 450 182 143 152 147 146 126 147 154 159 144 153 230 140 139 141 161 157 148 166 149 152 149 144 178 156 148 161 158 126 163 251 164 153 161 181 179 184 175 160 163 160 165 246 167 129 169 171 192 7 265 171 253 187 185 185 152 144 226 214 490 174 28 175 123 185 177 188 196 152 174 179 152 238 174 148 175 183 162 157 175 7 171 192 186 257 204 144 188 227 220 145 213 200 178 170 187 622 26 494 621 173 191 173 222 199 486 198 491 200 491 516 515 24 521 511 619 169 497 187 131 206 205 194 207 626 131 24 191 173 221 210 513 257 203 213 209 189 213 212 224 215 222 216 512 196 215 220 18 510 218 221 219 189 227 214 599 573 554 210 516 189 151 189 145 139 219 228 227 656 575 113 115 654 150 232 231 120 123 119 127 267 258 336 174 181 237 241 175 298 240 182 243 247 242 20 243 301 249 251 253 165 245 242 249 300 292 247 248 281 243 20 264 20 256 254 167 257 254 282 269 245 252 271 203 211 258 267 14 502 503 263 353 236 262 248 268 159 251 265 254 281 267 252 266 20 305 273 271 284 272 236 269 289 260 269 508 274 289 272 292 276 255 505 274 282 285 261 270 282 600 319 288 304 284 261 286 285 248 305 297 287 295 288 276 290 270 278 291 319 292 290 293 293 622 485 244 287 308 325 244 296 244 323 348 287 618 322 301 295 303 316 296 331 327 312 305 309 494 507 244 239 337 337 287 304 414 602 415 343 346 309 453 350 363 317 601 316 317 283 313 319 318 317 317 319 321 291 313 333 351 350 324 308 324 354 308 296 355 358 325 342 323 324 338 21 330 388 379 296 346 300 317 320 341 368 403 320 388 308 606 356 362 329 341 338 21 311 338 326 331 414 367 327 377 377 336 340 326 291 363 414 314 605 458 322 335 352 279 275 371 352 334 344 330 374 372 368 300 359 410 406 21 362 312 361 379 444 456 397 419 402 367 426 409 443 339 374 370 371 363 357 359 407 371 313 431 373 605 604 349 391 371 369 342 377 391 431 448 452 384 367 383 381 418 424 387 374 385 388 418 606 388 396 389 402 338 386 367 386 393 12 395 398 392 12 395 28 462 436 376 405 336 393 399 434 436 451 467 356 467 433 403 538 406 466 466 400 463 413 378 413 453 416 365 360 410 315 423 603 359 440 414 601 441 447 427 428 426 417 420 448 421 423 422 421 424 422 382 424 423 428 427 415 409 426 429 421 315 428 428 374 430 604 239 450 237 9 376 437 12 435 435 404 472 435 460 460 439 463 360 343 444 441 454 446 331 442 331 454 456 453 413 456 442 315 382 418 324 450 403 459 389 477 415 477 455 442 470 455 452 458 455 395 432 179 609 437 743 731 462 460 404 451 467 389 474 480 481 405 465 471 470 466 470 345 326 405 467 472 472 451 479 475 15 475 345 476 452 478 366 466 482 469 469 474 472 611 611 483 482 494 193 488 493 200 202 544 238 201 22 156 199 492 156 490 487 493 499 495 498 498 620 260 206 499 193 494 495 259 193 496 509 496 502 306 507 505 502 306 503 506 508 14 503 272 499 502 510 698 515 24 216 201 517 747 532 202 202 200 24 516 210 539 521 518 686 526 594 523 525 532 223 519 517 520 513 521 550 528 489 536 638 538 728 530 731 543 528 22 528 526 521 547 529 635 631 541 524 536 732 518 522 630 542 577 597 114 11 653 662 542 619 646 10 728 542 574 573 654 554 656 549 549 549 576 223 654 554 553 556 83 560 229 572 114 556 571 556 659 548 665 662 567 556 560 562 553 559 562 570 557 578 559 84 565 656 662 566 559 696 569 71 83 559 570 565 564 658 554 566 219 545 18 545 18 592 566 586 540 576 674 582 698 590 582 585 667 587 584 580 676 584 587 584 598 590 590 223 587 585 647 705 594 523 580 649 519 591 576 223 579 597 595 649 700 595 705 520 700 701 579 688 222 18 270 275 340 348 312 362 362 365 385 605 602 370 329 386 607 157 460 611 460 609 746 762 608 612 610 484 730 780 614 612 461 769 610 615 774 614 364 475 10 202 102 26 501 19 623 500 624 624 622 626 620 104 626 100 620 97 306 629 636 533 536 529 529 537 638 637 634 533 634 537 535 596 16 535 630 640 634 643 640 740 641 616 640 735 535 642 590 646 646 648 595 597 702 698 589 645 744 642 750 653 651 544 653 115 552 657 660 558 558 558 556 562 658 668 667 70 802 655 799 554 558 656 665 669 664 659 665 672 583 557 667 68 799 668 721 799 557 681 672 677 799 70 671 672 802 722 677 665 675 684 695 684 680 672 675 682 671 666 710 678 717 684 682 678 692 706 684 694 720 692 713 597 666 691 713 682 692 724 714 722 694 709 527 707 711 696 84 699 701 703 632 637 16 702 593 700 537 701 800 702 648 705 702 68 807 688 707 806 710 708 688 702 683 712 711 712 713 694 711 718 723 679 711 715 679 718 723 716 679 721 715 691 723 720 681 690 725 724 726 725 727 725 531 728 735 759 749 752 22 744 534 731 635 734 735 733 736 735 760 730 642 757 739 644 740 742 737 729 650 30 742 736 745 731 733 733 749 11 747 651 650 749 750 650 741 730 750 752 611 767 751 729 774 754 753 755 765 774 615 741 736 771 767 760 766 763 758 758 796 758 771 765 760 761 763 765 763 753 767 782 792 615 613 783 787 762 765 29 613 782 762 615 482 778 764 779 482 776 797 768 787 777 783 781 772 782 761 783 770 786 3 784 797 777 785 786 790 785 3 790 786 791 795 793 795 787 792 796 794 798 775 795 797 792 613 798 800 660 660 689 675 803 802 805 706 707 808],
segmentlist=Int32[2 3 4 1 31 6 7 205 9 10 11 12 13 14 15 16 17 19 31 37 43 64 65 44 70 68 84 86 90 91 92 108 102 176 119 205 279 278 255 335 349 352 315 369 375 29 366 363 380 393 382 419 423 425 430 438 345 408 457 401 468 476 481 483 488 498 294 30 535 527 500 625 633 641 539 669 690 593 685 693 695 716 720 721 738 761 764 770 772 779 784 794 670 697 800 689 803 804 709 806 808; 690 779 419 108 5 119 176 8 488 539 438 393 64 255 468 800 90 500 6 43 17 65 37 92 670 84 13 44 86 102 1 91 625 8 7 5 375 352 278 279 382 335 408 363 369 772 345 349 430 9 4 423 380 315 425 12 476 457 366 483 401 15 29 481 10 294 14 738 641 695 498 19 16 633 11 803 669 806 721 716 693 685 2 720 535 764 30 784 794 761 3 770 68 593 697 804 689 70 808 709 527],
segmentmarkerlist=Int32[1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
holelist=[0.25 0.65; 0.25 0.65],
)
Testing example_domain_localref...
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0; 0.0 0.0 1.0 0.6 1.0],
segmentlist=Int32[1 2 3 4 5; 2 3 4 5 1],
segmentmarkerlist=Int32[1, 2, 3, 4, 5],
)
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0 1.0 0.8232233047033631 1.0 0.9482233047033631 0.8446699141100893 1.0 0.888152572012668 0.7116116523516816 0.7982382281660365 0.7732053261573386 0.7344569500903135 0.6558058261758408 0.714739609302631 0.6837087392637612 0.6810537362458502 0.6834531107803226 0.685035045309775 0.640526868122925 0.6279029130879203 0.6561909848714913 0.6418543696318806 0.6418058673670064 0.6420033257051279 0.6202634340614624 0.6139514565439601 0.6281266598845329 0.6209271848159402 0.6208995460831589 0.6210141572346046 0.6101317170307312 0.6069757282719801 0.6140619965595252 0.6104635924079701 0.610449915071254 0.6105065416906726 0.6050658585153655 0.60348786413599 0.607031054175923 0.605231796203985 0.6052249515712697 0.6052532933449759 0.6025337557992764 0.6037884597038354 0.6040116582920674 0.6035962577705627 0.6019398908391532 0.6033443797908469 0.6026399042530471 0.6044038436806869 0.6042964482876998 0.6072014549021005 0.6082309865383335 0.5978680519790753 0.608510411878379 0.6063641470937107 0.6006113180702135 0.6093542609718928 0.602080828766794 0.6029839617955253 0.597747079930165 0.5997969419016095 0.6010726228038588 0.6031011825570706 0.6152128420161261 0.5972417391859167 0.598135232739477 0.5932462003522829 0.45 0.3 0.6039326407786457 0.6064897320342464 0.6007889045735466 0.525 0.5625 0.58125 0.590625 0.5953124999999999 0.6057744258252309 0.6057906518950887 0.593288947869677 0.5944621064882568 0.5994145503467386 0.6164619698339345 0.5765276946211881 0.6127282937298327 0.5883735856396489 0.585500428076362 0.590936817322056 0.5929687499999999 0.5840015354611785 0.5931145836878637 0.5950048098811166 0.595559460339263 0.5943224491660473 0.596079411462286 0.5972270672223292 0.5959823955327442 0.5931740506055702 0.5920464122244562 0.596484375 0.59765625 0.5871552106568727 0.5824868198081717 0.5904456600154071 0.58728563876967 0.570051799577709 0.5852172893848635 0.5775883199049057 0.6273232825212252 0.6147433314306597 0.5859375 0.5609145151846846 0.6164589217440832 0.6123346505279094 0.5766106834556252 0.5832228907525467 0.5771464742417058 0.571875 0.6329240168894853 0.6212063578587854 0.5975817843741688 0.6254565983568058 0.6265051310871732 0.5964468583332264 0.5688582800679499 0.6290088234362183 0.5485457075172838 0.5626583891607081 0.6590611958007461 0.5584697975602306 0.5731812358539492 0.5727179326677474 0.6116743217505625 0.5389522214138764 0.5226451355950608 0.5801547501606057 0.5433226177800872 0.5841384989079751 0.5474587958542467 0.6658461925600656 0.5174184786768864 0.6037441298832341 0.650912936956856 0.6374250513302905 0.6500702184104412 0.533110034497087 0.4373652154155022 0.4801224469419774 0.7064311289483742 0.6392050617258953 0.6395969625696516 0.6066551363477953 0.7024912271143011 0.4113477410361075 0.44910450018113474 0.4724520582886408 0.4884779659578528 0.49347393480511437 0.6831172850080306 0.7875152434104062 0.5 0.5207043811078759 0.7395077775863754 0.5467690211427373 0.5133152575802266 0.72670824066976 0.7064143768291434 0.3224489336158818 0.0 0.4617326917957606 0.37716819308763466 0.5848906086953176 0.20759655528423543 1.0 0.4059667130614929 0.5577760907459636 0.8789597171122856 0.8094680588037659 0.6398241781463998 0.49548588210428235 0.8141191689717144 0.5275128446178534 0.24227510504183036 0.25 0.32593599313530075 0.576047126478038 0.375 0.0 0.9105394198345357 0.626331817038686 0.75 0.8367939767837405 0.6974865160022191 0.5699580529887412 0.15 0.0 0.34224762133325093 0.2985761718485924 0.16653337320087333 0.4541181071494184 0.12923490998111123; 0.0 0.0 1.0 0.6 1.0 0.5 0.8232233047033631 0.75 0.875 0.625 0.625 0.7299764224364349 0.7116116523516816 0.7365967288890082 0.6607236669471624 0.49386452020870697 0.6558058261758408 0.6526778692248913 0.6837087392637612 0.5747520899299906 0.6199586642761028 0.649763865543734 0.5873760449649953 0.6279029130879203 0.6275177543922699 0.6418543696318806 0.610004037497133 0.6245064119887995 0.5936880224824976 0.6139514565439601 0.6137277097473476 0.6209271848159402 0.6050009635248 0.6122620121808564 0.5968440112412489 0.6069757282719801 0.606865188256415 0.6104635924079701 0.6025005260040676 0.6061306269712666 0.5984220056206244 0.60348786413599 0.6034325382320471 0.605231796203985 0.6012502611441606 0.6030653293699603 0.6009541083367136 0.6019281552948043 0.5998999081134154 0.6008805998789958 0.5973071628716454 0.598308996601352 0.5995398704650864 0.5953383086933154 0.5969742744359511 0.5963434699595016 0.5996625654055254 0.5896851945790524 0.5883045195386867 0.5997675775551193 0.5931182971189652 0.5925679627098465 0.5949573388805928 0.5961906456527916 0.5963318638789376 0.5952756720724737 0.5960760072128359 0.5883161650606216 0.5891931615904249 0.592998230954709 0.5945679059286034 0.5905271756961946 0.7 0.8 0.5917938218242524 0.5932574471785408 0.5901638214331714 0.6499999999999999 0.625 0.6124999999999999 0.60625 0.603125 0.5737386419433165 0.5812754902989027 0.5776555691632244 0.5840953395563805 0.5849103370981152 0.5993251204008584 0.5840357781037152 0.5995351522791593 0.5977947534594734 0.5824011795167309 0.6016396009830842 0.6046875 0.6034862879010613 0.5974109224166047 0.5950424423436832 0.5974236071030194 0.6002260700760426 0.6006696205323784 0.5980275019583868 0.5988601340231345 0.6022368018923764 0.5995359282202215 0.60234375 0.6015625 0.6013838377705986 0.597797732959549 0.5939167612080587 0.588454168522429 0.6041548008926851 0.5932959819401632 0.5917476830978616 0.5806703689664341 0.5943940249713113 0.609375 0.590111959698372 0.577484080951934 0.5827841008390258 0.5590472012548373 0.5698991894235504 0.6063205289200769 0.6187499999999999 0.5986504887074046 0.546828837405851 0.553709764525097 0.5990703719793066 0.5633446625009407 0.5658640000987459 0.5949372822678232 0.5900076926977915 0.6081541056713763 0.5714952909271457 0.5437917827377198 0.6016967775702005 0.5737971274333441 0.4998852967860325 0.5596353360861579 0.6303033321208145 0.5771371517773575 0.5291049874451312 0.5790740677484838 0.5447573691491985 0.5404158293028979 0.5972950665227358 0.607824205511105 0.5308711225608262 0.5981391370959894 0.5115478737587806 0.5657013629000976 0.5959174390066057 0.578400802574456 0.5856832670918649 0.533434038536251 0.5337345027212714 0.5514311993157861 0.49693009982969627 0.41894213013168335 0.3943580639870403 0.6386370386590868 0.5015574902185739 0.6347958768509746 0.5420533377676714 0.4872119359334271 0.5611536626319789 0.0 0.5490814124157419 0.5976763817388726 0.5118497811598431 0.4799531890204525 0.35223641619802065 0.5960730154785785 0.6711734004238228 0.5 0.43665296638577444 0.6213944825868888 0.4433317377081257 0.6415156721519487 0.25 0.5176321452417982 0.3733469480450703 0.536798730825579 0.4892804846834323 0.45224313598135074 0.34241486809235894 0.39296068565958947 0.4359648336418751 0.5280782539805448 0.0 0.5512977555688494 0.2850806873001529 0.75 0.75 0.3914534586234452 0.3616432710458348 0.0 0.23011935437261005 0.21521528366551032 0.1340216109221319 0.9 0.25 0.29195766909811144 0.42551817720131524 0.30842291419654555 0.21012807861068253 0.44417053293205366],
pointmarkerlist=Int32[1, 1, 2, 3, 4, 2, 3, 2, 0, 0, 2, 0, 3, 0, 0, 0, 3, 0, 3, 0, 0, 0, 0, 3, 0, 3, 0, 0, 0, 3, 0, 3, 0, 0, 0, 3, 0, 3, 0, 0, 0, 3, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 0, 0, 0, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 4, 5, 0, 0, 1, 0, 0, 0, 4, 5, 0, 0, 0, 0, 0],
trianglelist=Int32[8 103 8 169 12 183 8 9 15 13 14 182 11 7 14 14 22 56 168 17 22 164 154 124 18 172 23 154 19 88 28 25 25 24 27 61 25 145 26 56 34 31 31 30 33 90 31 124 32 60 40 37 37 36 39 52 37 88 38 41 41 43 43 42 45 50 43 57 44 48 42 53 46 42 50 53 53 45 61 62 49 64 47 51 66 88 64 56 54 56 90 43 68 64 59 119 56 43 67 61 69 62 67 75 67 54 190 58 67 71 64 67 72 59 59 29 108 97 146 61 70 132 65 130 85 138 59 76 56 54 87 75 93 117 93 82 97 129 87 83 92 92 72 87 85 84 127 37 133 115 37 116 72 110 136 107 104 79 103 91 96 96 109 72 81 98 102 96 65 82 4 101 4 99 94 104 91 96 106 108 100 82 95 110 108 110 109 112 79 113 91 112 111 113 155 114 62 29 121 95 117 138 69 83 69 147 150 136 120 123 108 148 122 31 129 120 133 138 131 31 150 114 121 138 135 89 29 23 140 139 143 133 147 134 135 135 117 120 185 150 125 118 79 139 166 167 144 126 117 140 144 147 153 141 172 25 162 153 137 157 150 25 149 164 134 145 132 140 74 141 146 152 154 20 147 149 125 134 165 164 171 175 167 191 178 152 180 164 73 153 152 180 149 177 165 15 195 163 140 161 172 15 167 175 176 186 181 191 154 18 2 187 180 74 186 191 171 161 184 184 179 194 137 198 176 152 175 159 182 11 157 16 196 166 175 204 199 200 158 194 173 149 173 6 191 204 180 206 176 174 179 171 187 203 74 196 205 2 201 196 200 204 203 203 203 206 189 178 201; 9 104 12 170 9 182 3 3 10 18 12 11 12 13 10 13 21 54 15 22 25 158 165 148 13 18 124 168 22 127 31 27 22 28 25 77 17 148 28 41 37 33 28 34 31 39 24 127 34 45 43 39 34 40 37 55 30 90 40 49 60 45 40 46 43 48 36 60 46 46 4 52 48 47 45 51 50 50 66 35 50 55 4 53 61 115 52 55 63 35 57 57 77 54 62 69 60 60 4 58 62 69 65 63 64 64 188 61 66 66 67 51 86 68 84 69 95 71 153 71 72 135 98 89 83 118 75 75 76 75 77 77 107 130 94 103 70 121 58 118 85 121 97 85 87 68 88 88 136 90 90 80 109 86 121 81 91 135 94 107 91 97 97 70 107 101 100 98 101 99 101 100 106 98 103 103 104 99 100 107 106 100 116 89 112 92 112 113 139 89 112 108 130 108 156 118 115 115 136 81 151 83 118 119 119 126 23 92 126 122 122 124 123 124 83 143 142 125 127 127 128 128 129 129 130 130 114 131 142 146 144 117 149 149 111 132 136 136 175 156 138 138 78 78 199 144 120 147 135 167 143 143 163 144 145 145 73 146 157 147 148 148 147 154 20 150 146 151 173 169 78 161 16 134 155 134 156 156 182 16 158 187 163 181 188 153 176 184 162 162 163 190 157 137 16 165 181 170 163 170 21 168 169 180 73 171 195 205 172 172 197 181 152 200 183 198 186 152 177 157 194 186 170 197 160 160 185 202 183 182 137 158 198 205 170 206 198 193 184 183 178 184 190 182 185 201 175 204 192 178 6 195 185 204 178 197 185 179 1 199 5 189 202 159 188 178 205 206 206; 12 99 11 137 7 165 9 7 14 15 7 10 10 14 12 15 18 76 18 19 21 16 168 27 19 21 131 172 18 33 27 148 17 26 28 75 26 150 25 55 33 127 24 32 34 57 32 131 31 49 39 90 30 38 40 41 38 115 37 52 49 60 36 44 46 47 44 56 43 42 47 49 45 48 48 52 47 49 71 56 53 52 53 4 63 29 51 54 75 57 35 39 87 55 76 59 41 57 65 77 59 115 66 61 51 63 203 70 63 65 63 4 58 84 119 114 122 65 140 70 58 79 97 113 84 83 68 59 62 76 58 68 91 135 81 99 71 120 86 119 86 85 109 84 86 87 29 33 117 35 88 122 110 72 92 95 96 123 93 108 109 98 96 97 93 102 99 99 98 100 65 102 101 102 82 93 93 104 101 95 105 105 122 92 91 86 110 110 132 110 109 113 108 130 125 128 35 69 120 116 142 129 114 84 118 143 114 89 129 80 111 23 111 27 85 126 144 128 29 124 156 150 85 126 111 117 131 114 151 132 141 142 155 164 123 151 89 133 159 134 126 128 139 146 205 142 133 125 151 142 120 141 140 169 20 21 160 162 141 141 23 145 157 134 150 20 151 146 192 137 162 163 165 154 125 155 128 155 10 154 195 170 169 185 190 160 190 158 78 160 153 203 184 187 183 10 191 169 167 163 145 165 144 159 192 197 177 199 20 168 196 177 176 178 16 195 158 180 195 177 197 197 187 171 73 176 187 185 194 6 177 186 199 189 161 201 191 178 195 186 190 164 176 194 205 189 161 203 173 193 194 198 181 202 173 198 202 197 189 166 193 202 159 180 206 174 202 188 174],
segmentlist=Int32[2 3 42 200 1 6 7 8 11 13 17 19 24 26 30 32 36 38 42 44 74 73 78 79 80 81 82 94 106 105 116 123 174 192 179 166 196 200 193 201 189; 196 8 4 5 201 179 3 11 6 7 19 13 26 17 32 24 38 30 44 36 192 78 79 123 116 94 105 82 4 106 81 80 193 73 2 189 166 74 5 174 1],
segmentmarkerlist=Int32[1, 2, 3, 4, 5, 2, 3, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 4, 2, 1, 1, 4, 5, 5, 1],
)
Testing example_domain_qcdt_area...
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0; 0.0 0.0 1.0 0.6 1.0],
segmentlist=Int32[1 2 3 4 5; 2 3 4 5 1],
segmentmarkerlist=Int32[1, 2, 3, 4, 5],
)
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0 1.0 0.8232233047033631 0.8146446609406727 0.75 1.0 0.5 0.7164625555479931 0.2291023760052876 0.4814079247456938 0.5557167207888253 0.25 0.3538824089731961 0.3 0.0 0.35397569087731184 0.0 0.0; 0.0 0.0 1.0 0.6 1.0 0.5 0.8232233047033631 0.6085786437626904 0.125 0.25 0.0 0.37559343859410305 0.39429668009814745 0.3960289053560285 0.2010665584223494 0.0 0.17499999999999996 0.8 0.5 0.5815211946210894 0.25 0.75],
pointmarkerlist=Int32[1, 1, 2, 3, 4, 2, 3, 0, 0, 2, 1, 0, 0, 0, 0, 1, 0, 4, 5, 0, 5, 5],
trianglelist=Int32[15 10 4 6 6 12 2 6 2 17 12 12 10 4 16 22 17 12 20 17 17 11 20 16 20 20 13 18; 11 6 8 8 7 8 10 3 9 11 14 4 12 20 17 19 15 15 19 14 13 17 4 21 13 18 19 5; 9 12 7 12 8 4 9 7 11 15 15 14 9 14 21 20 14 9 13 13 21 16 18 1 14 22 21 22],
segmentlist=Int32[2 3 7 18 1 6 7 10 11 16 18 19 21 22; 11 6 4 5 21 10 3 2 16 1 4 22 19 5],
segmentmarkerlist=Int32[1, 2, 3, 4, 5, 2, 3, 2, 1, 1, 4, 5, 5, 5],
)
Testing example_domain_regions...
TriangulateIO(
pointlist=[0.0 0.5 1.0 1.0 0.6 0.0; 0.0 0.0 0.0 1.0 0.6 1.0],
segmentlist=Int32[1 2 3 4 5 6 2; 2 3 4 5 6 1 5],
segmentmarkerlist=Int32[1, 2, 3, 4, 5, 6, 7],
regionlist=[0.2 0.8; 0.2 0.2; 1.0 2.0; 0.01 0.05],
)
TriangulateIO(
pointlist=[0.0 0.5 1.0 1.0 0.6 0.0 0.34404380947036495 0.25 0.5410997468263393 0.2973246824132683 0.0 0.375 0.125 0.5205498734131697 0.5705498734131697 0.4235919597475793 1.0 0.38739249994769887 0.0 0.2928902621725018 0.3529456842450092 0.45928263203035696 0.16723656249233176 0.25151628136637244 0.1508810141432239 0.0625 0.17763994218506862 1.0 0.3 0.5487385724857329 0.45 0.4404139501252029 0.4616688312949001 0.293136128678406 0.3399933809204372 0.17305881591885175 0.34933731535091617 0.2370903204789695 0.0 0.0 0.07463097150282118 0.09047882304737391 0.07951771598728948 0.08484821770206911 0.18642575165784916 0.15 0.08019218721241285 0.2416085545202448 0.15970216492739414 0.0 0.7713165477790076 0.8003252178063741 0.8232233047033631 0.8146446609406727; 0.0 0.0 0.0 1.0 0.6 1.0 0.41505905158848155 0.0 0.24659848095803594 0.19327036638827458 0.5 0.0 0.0 0.12329924047901798 0.42329924047901796 0.2028210024472228 0.5 0.10426234304692175 0.25 0.08613720931268791 0.2973689329379859 0.36459379416727933 0.3425039401568925 0.28465503358473654 0.22835788432439463 0.12272901625431305 0.10408563102528397 0.25 0.8 0.5177390142763176 0.7 0.4783147939809184 0.5884455579926824 0.6272041930176091 0.5262677194617051 0.5101168864478826 0.7115059730263742 0.42398507404347946 0.75 0.375 0.3125 0.4375 0.625 0.5338167768052542 0.616524095233291 0.9 0.7132213279139086 0.7157852224184145 0.7899393157714185 0.875 0.14486690444198488 0.3773825912838984 0.8232233047033631 0.6085786437626904],
pointmarkerlist=Int32[1, 1, 2, 3, 4, 5, 0, 1, 7, 0, 6, 1, 1, 7, 7, 0, 3, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 3, 5, 0, 5, 0, 0, 0, 0, 0, 0, 0, 6, 6, 0, 0, 0, 0, 0, 5, 0, 0, 0, 6, 0, 0, 4, 0],
trianglelist=Int32[27 22 2 24 52 51 8 25 33 16 10 9 51 15 12 10 2 30 22 28 7 1 53 51 18 16 25 12 10 7 38 22 35 42 7 25 25 13 19 8 27 11 9 7 15 30 5 33 5 37 45 40 33 35 45 25 31 48 24 35 19 49 42 42 41 38 43 39 42 45 36 34 49 43 45 48 29 49 49 3 46 52 9 52 17 17; 10 16 51 25 5 2 20 19 31 18 21 16 28 32 18 18 14 32 9 17 22 13 5 9 12 21 26 20 20 21 24 21 36 36 24 24 23 27 1 27 20 44 51 32 5 33 31 34 33 34 34 42 35 34 48 41 29 37 38 38 41 39 38 41 42 42 44 11 44 44 34 37 50 47 47 49 49 29 46 28 6 17 52 54 4 53; 25 9 14 10 15 3 27 26 37 14 24 14 52 22 20 16 18 15 15 52 32 26 54 14 2 10 27 8 18 22 7 16 38 44 21 23 41 26 26 13 10 43 52 35 30 32 33 35 30 33 48 11 32 36 47 19 37 29 23 7 40 47 36 23 40 23 45 43 11 36 45 48 39 39 43 47 48 46 50 51 50 54 15 5 53 54],
triangleattributelist=[1.0 1.0 2.0 1.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 2.0 1.0 1.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 2.0 1.0 2.0 2.0 2.0 2.0 2.0],
segmentlist=Int32[2 3 4 53 46 1 15 8 12 9 14 15 11 19 13 17 29 31 39 40 46 50 28 53; 12 2 17 5 6 19 5 13 8 14 2 9 39 40 1 28 31 5 50 11 29 6 3 4],
segmentmarkerlist=Int32[1, 2, 3, 4, 5, 6, 7, 1, 1, 7, 7, 7, 6, 6, 1, 3, 5, 5, 6, 6, 5, 6, 3, 4],
regionlist=[0.2 0.8; 0.2 0.2; 1.0 2.0; 0.01 0.05],
)
  7.858304 seconds (6.80 M allocations: 345.101 MiB, 6.36% gc time)
       run:Testing example_cdt...
TriangulateIO(
pointlist=[0.1 1.0 0.4 1.0 0.1 0.5 0.1 0.4 0.2 0.2; 0.3 0.3 0.9 0.6 0.8 0.1 0.9 0.1 0.7 0.2],
segmentlist=Int32[1 9 1; 2 8 10],
segmentmarkerlist=Int32[2, 3, 4],
)
TriangulateIO(
pointlist=[0.1 1.0 0.4 1.0 0.1 0.5 0.1 0.4 0.2 0.2 0.33333333333333337; 0.3 0.3 0.9 0.6 0.8 0.1 0.9 0.1 0.7 0.2 0.3],
pointmarkerlist=Int32[2, 2, 1, 1, 1, 1, 1, 3, 3, 4, 2],
trianglelist=Int32[6 7 9 3 9 8 10 2 3 3 6; 11 5 5 5 1 11 11 4 9 11 2; 8 3 1 9 11 10 1 11 11 4 11],
segmentlist=Int32[11 11 9 11 10 6 2 4 3 7 5 1 8; 2 1 11 8 1 8 6 2 4 3 7 5 10],
segmentmarkerlist=Int32[2, 2, 3, 3, 4, 1, 1, 1, 1, 1, 1, 1, 1],
)
Testing example_convex_hull...
TriangulateIO(
pointlist=[0.3 0.9 0.2 1.0 0.5 0.3 0.2 0.3 0.1 0.7; 0.5 0.3 0.7 0.3 0.6 0.1 1.0 0.4 0.2 0.2],
)
TriangulateIO(
pointlist=[0.3 0.9 0.2 1.0 0.5 0.3 0.2 0.3 0.1 0.7; 0.5 0.3 0.7 0.3 0.6 0.1 1.0 0.4 0.2 0.2],
pointmarkerlist=Int32[0, 0, 0, 1, 0, 1, 1, 0, 1, 1],
trianglelist=Int32[9 7 9 8 3 6 10 2 5 5 5 1 5; 6 3 1 1 7 10 2 10 1 2 4 5 8; 8 5 3 9 9 8 5 4 8 4 7 3 10],
)
Testing example_convex_hull_voronoi...
TriangulateIO(
pointlist=[0.3 0.5 0.4 0.3 0.6 0.4 0.7 0.7 0.6 0.8; 0.5 0.5 0.6 0.2 0.4 0.3 0.5 1.0 0.7 0.1],
)
TriangulateIO(
pointlist=[0.3 0.5 0.4 0.3 0.6 0.4 0.7 0.7 0.6 0.8; 0.5 0.5 0.6 0.2 0.4 0.3 0.5 1.0 0.7 0.1],
pointmarkerlist=Int32[1, 0, 0, 1, 0, 0, 0, 1, 0, 1],
trianglelist=Int32[4 6 1 2 3 1 6 5 10 9 9 8 9 7; 6 4 2 1 2 3 5 10 5 7 2 7 8 2; 1 10 3 6 9 8 2 7 6 8 7 10 3 5],
)
TriangulateIO(
pointlist=[0.25000000000000006 0.5333333333333333 0.4 0.4 0.5166666666666667 -1.2499999999999947 0.48333333333333334 0.79 0.5875 0.95 0.6 2.5499999999999985 0.35000000000000003 0.6; 0.35 0.06666666666666654 0.5 0.425 0.6166666666666666 2.1499999999999955 0.38333333333333336 0.30999999999999994 0.17500000000000004 0.75 0.575 0.75 0.95 0.5],
edgelist=Int32[1 1 1 2 2 3 3 3 4 5 5 6 6 7 7 8 8 8 10 10 10 11 12; 2 4 -1 -1 9 4 5 6 7 11 13 13 -1 9 14 9 12 14 11 12 13 14 -1],
normlist=[0.0 0.0 -0.3 -0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -0.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9; 0.0 0.0 0.0 -0.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.39999999999999997 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.10000000000000009],
)
Testing example_convex_hull_voronoi_delaunay...
TriangulateIO(
pointlist=[0.9 0.6 0.4 0.2 0.9 0.3 0.6 1.0 0.3 0.2; 0.9 0.1 1.0 0.1 0.3 0.6 0.2 0.9 0.8 0.3],
)
TriangulateIO(
pointlist=[0.9 0.6 0.4 0.2 0.9 0.3 0.6 1.0 0.3 0.2 0.75 0.7 0.25 0.85 0.275 0.925 0.2625 0.8875 0.90625; 0.9 0.1 1.0 0.1 0.3 0.6 0.2 0.9 0.8 0.3 0.2 0.9500000000000001 0.55 0.925 0.675 0.9125 0.6125 0.9187500000000001 0.915625],
pointmarkerlist=Int32[0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
trianglelist=Int32[7 13 12 12 6 13 7 14 2 7 5 6 12 5 1 5 6 1 1 1; 2 7 9 6 17 10 10 12 7 11 8 9 3 1 8 6 15 18 19 16; 11 6 6 5 13 7 4 5 4 5 1 15 9 14 16 7 17 14 18 19],
segmentlist=Int32[2 5 8 3 9 10 4 11 12 13 14 15 16 17 18 19; 4 11 5 12 3 13 10 2 14 17 18 9 8 15 19 16],
segmentmarkerlist=Int32[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
)
TriangulateIO(
pointlist=[0.675 0.44999999999999984 0.5656249999999999 0.6670454545454546 0.271875 0.43333333333333335 0.3875 0.71875 0.4 0.675 0.9500000000000001 0.4750000000000004 0.5230769230769231 0.7187500000000007 0.95 0.65 0.2921875000000001 0.86328125 0.89580078125 0.9138671875; 0.15 0.39999999999999997 0.7000000000000001 0.5840909090909091 0.578125 0.38333333333333336 0.2 0.6000000000000001 0.15000000000000002 0.4750000000000001 0.6000000000000001 0.7 0.8134615384615385 0.6000000000000001 0.8312499999999997 0.55 0.6390625000000001 0.8890625 0.9107421875 0.903515625],
edgelist=Int32[1 1 1 2 2 2 3 3 3 4 4 5 5 6 6 7 7 8 8 9 10 10 11 11 11 12 12 13 13 14 15 15 17 18 18 19 19 20; 9 -1 10 6 16 5 13 12 4 16 8 17 -1 -1 7 -1 9 -1 14 -1 -1 16 -1 15 14 -1 17 -1 -1 18 -1 20 -1 19 -1 20 -1 -1],
normlist=[0.0 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -0.0625 -0.25000000000000006 0.0 -0.19999999999999998 0.0 0.025000000000000022 0.0 0.0 0.09999999999999998 0.0 0.6000000000000001 0.0 0.0 -0.125 0.0 0.04999999999999993 -0.19999999999999996 0.0 0.012499999999999956 0.0 -0.0625 0.0 0.006249999999999978 0.0 0.0031250000000000444 0.0031250000000000444; 0.0 -0.15000000000000002 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.012500000000000011 0.04999999999999999 0.0 0.0 0.0 0.15000000000000002 0.0 -0.39999999999999997 -0.15000000000000002 0.0 -0.09999999999999998 0.0 0.0 0.024999999999999967 0.0 0.29999999999999993 0.10000000000000003 0.0 0.07499999999999996 0.0 0.012500000000000011 0.0 0.03749999999999998 0.0 0.018750000000000044 0.018750000000000044],
)
Testing example_convex_hull_with_boundary...
TriangulateIO(
pointlist=[0.9 0.6 0.4 0.1 0.1 0.2 0.9 0.1 0.6; 0.6 1.0 0.3 1.0 0.3 0.4 0.3 0.5 0.8],
)
TriangulateIO(
pointlist=[0.9 0.6 0.4 0.1 0.1 0.2 0.9 0.1 0.6; 0.6 1.0 0.3 1.0 0.3 0.4 0.3 0.5 0.8],
pointmarkerlist=Int32[1, 1, 1, 1, 1, 0, 1, 1, 0],
trianglelist=Int32[5 6 9 8 3 9 1 2 9; 6 5 4 6 7 1 9 4 6; 8 3 8 9 1 2 3 9 3],
segmentlist=Int32[3 7 1 2 4 8 5; 5 3 7 1 2 4 8],
segmentmarkerlist=Int32[1, 1, 1, 1, 1, 1, 1],
)
Testing example_domain_bcdt_area...
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0; 0.0 0.0 1.0 0.6 1.0],
segmentlist=Int32[1 2 3 4 5; 2 3 4 5 1],
segmentmarkerlist=Int32[1, 2, 3, 4, 5],
)
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0 1.0 1.0 0.8232233047033631 0.7116116523516816 0.5 0.75 0.75 1.0 0.78 0.0 0.42999999999999994 0.20801257358446093 0.0 0.25 0.0 0.2003488372093023 0.4040062867922305 0.19648288118364207; 0.0 0.0 1.0 0.6 1.0 0.5 0.75 0.8232233047033631 0.7116116523516816 0.0 0.25 0.0 0.25 0.47000000000000003 0.5 0.31999999999999995 0.8613249509436927 0.75 0.0 0.25 0.37499999999999994 0.7306624754718463 0.625],
pointmarkerlist=Int32[1, 1, 2, 3, 4, 2, 2, 3, 3, 1, 0, 1, 2, 0, 5, 0, 4, 5, 1, 5, 0, 4, 0],
trianglelist=Int32[7 10 9 11 14 14 9 7 10 6 11 11 14 16 18 18 19 17 16 16 19 21 15 21 22 17; 3 16 4 12 11 16 14 8 11 14 10 2 6 14 23 15 20 5 23 4 21 19 20 23 23 23; 8 19 14 2 13 11 7 9 16 13 12 13 7 4 17 23 1 18 21 22 20 16 21 15 16 22],
segmentlist=Int32[2 3 9 17 1 6 7 8 9 10 12 13 15 17 18 19 20 22; 12 7 4 5 20 13 6 3 8 19 10 2 18 22 5 1 15 4],
segmentmarkerlist=Int32[1, 2, 3, 4, 5, 2, 2, 3, 3, 1, 1, 2, 5, 4, 5, 1, 5, 4],
)
Testing example_domain_cdt...
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0; 0.0 0.0 1.0 0.6 1.0],
segmentlist=Int32[1 2 3 4 5; 2 3 4 5 1],
segmentmarkerlist=Int32[1, 2, 3, 4, 5],
)
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0; 0.0 0.0 1.0 0.6 1.0],
pointmarkerlist=Int32[1, 1, 2, 3, 4],
trianglelist=Int32[5 4 2; 1 2 4; 4 3 1],
segmentlist=Int32[2 3 3 4 1; 1 2 4 5 5],
segmentmarkerlist=Int32[1, 2, 3, 4, 5],
)
Testing example_domain_cdt_area...
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0; 0.0 0.0 1.0 0.6 1.0],
segmentlist=Int32[1 2 3 4 5; 2 3 4 5 1],
segmentmarkerlist=Int32[1, 2, 3, 4, 5],
)
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0 1.0 0.8499999999999999 0.519698275862069 0.9761363636363637 0.7791666666666667 0.5 0.75 0.3 0.25000000000000006 0.0 0.013023493015566375 0.27768888356585186 0.3954940894635275 0.05; 0.0 0.0 1.0 0.6 1.0 0.5 0.75 0.3050502873563218 0.25 0.4666666666666667 0.0 0.10227530991735542 0.8 0.16930460665079347 0.5 0.25 0.45008245947260983 0.6182411341952913 0.75],
pointmarkerlist=Int32[1, 1, 2, 3, 4, 2, 0, 0, 0, 0, 1, 0, 4, 0, 5, 0, 0, 0, 0],
trianglelist=Int32[3 15 7 8 18 8 2 10 2 10 7 12 15 12 11 1 14 17 16 17 5 1 17 4 19 5 17; 4 1 6 12 8 10 9 7 6 9 10 8 16 9 2 11 11 14 14 8 19 14 18 13 18 15 19; 7 16 3 10 4 4 12 4 9 6 6 11 17 10 12 14 8 8 17 18 13 16 19 18 13 19 15],
segmentlist=Int32[2 3 3 13 1 6 11 15 13; 11 6 4 5 15 2 1 5 4],
segmentmarkerlist=Int32[1, 2, 3, 4, 5, 2, 1, 5, 4],
)
Testing example_domain_holes...
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.0 0.2 0.3 0.3 0.2 0.6 0.7 0.7 0.6; 0.0 0.0 1.0 1.0 0.2 0.2 0.3 0.3 0.6 0.6 0.7 0.7],
segmentlist=Int32[1 2 3 4 5 6 7 8 9 10 11 12; 2 3 4 1 6 7 8 5 10 11 12 9],
segmentmarkerlist=Int32[1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3],
holelist=[0.25 0.65; 0.25 0.65],
)
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.0 0.2 0.3 0.3 0.2 0.6 0.7 0.7 0.6 0.5 0.0 0.5 1.0 0.25 0.6499999999999999 0.0 0.25 0.06700102237469 0.7983803663340345 0.25 0.65 0.4807123361519714 0.10624999999999998 0.25 0.4142857142857143 0.75 1.0 0.25 0.225 0.225 0.275 0.275 0.25122619825160775 0.375 0.3439916674134882 0.31157084540174435 0.18433660284195283 0.303237252752762 0.15526651766731464 0.3125 0.125 0.18868216660460987 0.19448653552079964 0.20024721171123608 0.2785955621925921 0.31159869362994336 0.28643365310659924 0.356940281988651 0.25762915860211805 0.28783196797791705 0.33320440626033193 0.4498257319443654 0.35257011555356416 0.31848908376998064 0.39726529471106486 0.3406774106473134 0.34375 0.36774991327426515 0.3859605033971139 0.3926209270881696 0.4375 0.40625 0.4294227291634657 0.46875 0.625 0.4703252453518361 0.75 0.45830717927461156 0.42894894503231284 0.5001240819366922 0.4487171527823294 0.39843896312329324 0.21770731305807609 0.22205412935940563 0.13589643411486416 0.1865159358536873 0.16698902486082878 0.4027600271151712 0.5117674401960192 0.47864419731583996 0.5625 0.25103801342617565 0.1875 0.15625 0.12226537238604954 0.15594508070606067 0.21875 0.0 0.0625 0.06344571317804928 0.09375 0.08609094149861518 0.09960507983612091 0.07457553191680413 0.07822247978698575 0.03950024395399318 0.11332292194342267 0.1177228938879392 0.0 0.06362944369651925 0.14445745449063543 0.1384906936072932 0.1721220316362846 0.022684165661963268 0.0 0.01712822253283205 0.053330170061914345 0.4143693403439751 0.4611828204570164 0.48812193287107186 0.5883007646470126 0.5426007882715103 0.5181202596293127 0.3684121138063164 0.3338586582791238 0.3 0.3561590380459867 0.3833203108806954 0.3609275165473579 0.3440203236940072 0.4435537647267168 0.387232310851066 0.420378463067116 0.3910475898802629 0.37533565000415553 0.33141122357497654 0.3496626631044396 0.16557631999482259 0.03842700581886381 0.01775594856907604 0.4404623311917378 0.44306548468575513 0.4094082015071835 0.4210235845789659 0.4537425077891084 0.4953770105196611 0.5421299997789254 0.46846248004427143 0.43092599329409775 0.4416356264718628 0.48847453838067934 0.4587509114784298 0.4078649370249949 0.36737559150717664 0.40397313201977114 0.4227814080552942 0.5092585948400604 0.4689328217689183 0.45552008369775693 0.3768237076092936 0.42908957287485117 0.4556107491212218 0.5460757054766981 0.4341043597126487 0.3963119922343937 0.3237792228012815 0.3134907669865211 0.5063739882610916 0.43173073002882917 0.35971721786059896 0.3471645069183989 0.3364511707540156 0.3233523077566892 0.28509657140017475 0.23852912308289198 0.2544310965349103 0.196377059700171 0.2850059774696232 0.4834481781297817 0.5739374985537471 0.49122335886805946 0.37539519897847246 0.25 0.3105665131422598 0.5505578140435895 0.45749379739455875 0.4786881463354591 0.5125984267315778 0.3564245790925756 0.3914656230838239 0.40894782236503935 0.275 0.225 0.17966122526994482 0.5207807220635848 0.529218329591991 0.5156939790390946 0.6002918684959534 0.20737122008186068 0.08790859293086738 0.13896120787105742 0.5761079146066069 0.6225662658661728 0.629172662483557 0.5741531318082128 0.6077625491308116 0.64260852834884 0.7385958023667589 0.6880784862122296 0.13554519714361069 0.16984082712082488 0.2 0.13494631570560783 0.13636632989673114 0.6243142796474954 0.5970241741769228 0.7088762334245512 0.16738038637201158 0.5977357647340541 0.5636044432012632 0.6698020308152198 0.6436166434779373 0.7177972635378845 0.6452857442911121 0.6277036210204493 0.587075948940184 0.6006379760177888 0.5523790913757721 0.6759569107409287 0.7020623790129693 0.7004393062958445 0.5106358740390669 0.4916691393367911 0.5270913714350318 0.5581002770942274 0.6127215550107838 0.5062389989803712 0.5421807495614247 0.5179708079595209 0.32260006629089966 0.33012279276268947 0.366586465159713 0.18797747865912565 0.5417175706177518 0.5250180352054448 0.3885644516502539 0.3147354326900269 0.3328773414490972 0.35543407714258385 0.29101599908283843 0.3351112999270569 0.25785275399881746 0.296281548163898 0.3350967824317078 0.2757820391729351 0.3026535147951997 0.2688437733720123 0.26490204154664315 0.22001724187007848 0.2657343400973361 0.22291511632897154 0.0 0.22839838706315146 0.1810632499167532 0.16107345792916716 0.1178272247851101 0.12553142647157617 0.2133079530959085 0.14916216332931187 0.23969930402410658 0.2917641355871522 0.21539201696846821 0.1564567133626545 0.1828390721702623 0.20670738426601776 0.1392188815435779 0.09346564237273619 0.15739758078674698 0.08463383755057603 0.11147197650737656 0.11314295909884539 0.11682768025397354 0.07524312778820523 0.1289035739195994 0.0 0.0 0.041193689425640695 0.17022976842842003 0.12343508951571644 0.1879756478714908 0.15660905726726496 0.19249952680600818 0.2341022515147307 0.26511348766936865 0.2597869819012796 0.03792669559578688 0.06415236266907451 0.05257794971403334 0.02694586586539024 0.011480963133914088 0.0 0.2978340830982918 0.3477974261416312 0.33113651783183073 0.37267476913076714 0.30656354036236444 0.2864164747707425 0.2835225591374696 0.35575178507898075 0.28803590181262495 0.21836864348450563 0.22430283064452491 0.08761547419699472 0.37021266812205966 0.41983531514976585 0.2475412759836596 0.033459632859372104 0.47172666325829116 0.21503875971315967 0.1077790780892771 0.16242041309973002 0.25 0.17974317165368134 0.13781072824173002 0.1906374765809339 0.14778014814926574 0.08156558824210633 0.10482860586670309 0.06022259756130529 0.4052288603407199 0.46570066988363423 0.383607033535396 0.47188322490747003 0.3741066274316693 0.43623368721752487 0.46963064532293014 0.41789396927458755 0.4158529188925444 0.33802182551271 0.1125952799159988 0.06848462672315092 0.0 0.5313084853635859 0.44079482965592864 0.487284712929455 0.45696418820880813 0.3554004955053315 0.455876346055925 0.28964160413222617 0.3220793477048024 0.444165002196106 0.4375 0.3188925234265263 0.5177865921808416 0.39088054328673033 0.0 0.039685924463109055 0.028144716285084345 0.0 0.03201479843656099 0.49440085827572916 0.4246776652635813 0.49792017489746343 0.06405018381236426 0.25081976485418644 0.249029371710012 0.28777726624989464 0.26096436320173705 0.2289106463347146 0.0 0.5040523677127321 0.1867977898170388 0.375 0.5307012786341788 0.07498902573421991 0.0 0.13202971914387188 0.03368200645557453 0.09725568632660522 0.1222432156597238 0.10113068646419161 0.0 0.5638640223990096 0.27882022105878496 0.22466457756114655 0.03284755364541328 0.125 0.07779864642645838 0.0 0.043557840241034707 0.08631928538813954 0.14663821221809542 0.5157066603942784 0.5147294426616951 0.5573187710552319 0.5978881229889506 0.505182449752755 0.5347988541195552 0.5657677703874294 0.6 0.5790167018517307 0.509588173902424 0.6079611409800724 0.558065715696041 0.5466318668789594 0.5793758766200231 0.5883095734431686 0.625 0.5293976374418 0.5417636770879457 0.6863342441258528 0.5710047759964154 0.6375977551635464 0.248458932852467 0.3125 0.20677350447737677 0.26314699604131886 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157 175 7 171 192 186 257 204 144 188 227 220 145 213 200 178 170 187 622 26 494 621 173 191 173 222 199 486 198 491 200 491 516 515 24 521 511 619 169 497 187 131 206 205 194 207 626 131 24 191 173 221 210 513 257 203 213 209 189 213 212 224 215 222 216 512 196 215 220 18 510 218 221 219 189 227 214 599 573 554 210 516 189 151 189 145 139 219 228 227 656 575 113 115 654 150 232 231 120 123 119 127 267 258 336 174 181 237 241 175 298 240 182 243 247 242 20 243 301 249 251 253 165 245 242 249 300 292 247 248 281 243 20 264 20 256 254 167 257 254 282 269 245 252 271 203 211 258 267 14 502 503 263 353 236 262 248 268 159 251 265 254 281 267 252 266 20 305 273 271 284 272 236 269 289 260 269 508 274 289 272 292 276 255 505 274 282 285 261 270 282 600 319 288 304 284 261 286 285 248 305 297 287 295 288 276 290 270 278 291 319 292 290 293 293 622 485 244 287 308 325 244 296 244 323 348 287 618 322 301 295 303 316 296 331 327 312 305 309 494 507 244 239 337 337 287 304 414 602 415 343 346 309 453 350 363 317 601 316 317 283 313 319 318 317 317 319 321 291 313 333 351 350 324 308 324 354 308 296 355 358 325 342 323 324 338 21 330 388 379 296 346 300 317 320 341 368 403 320 388 308 606 356 362 329 341 338 21 311 338 326 331 414 367 327 377 377 336 340 326 291 363 414 314 605 458 322 335 352 279 275 371 352 334 344 330 374 372 368 300 359 410 406 21 362 312 361 379 444 456 397 419 402 367 426 409 443 339 374 370 371 363 357 359 407 371 313 431 373 605 604 349 391 371 369 342 377 391 431 448 452 384 367 383 381 418 424 387 374 385 388 418 606 388 396 389 402 338 386 367 386 393 12 395 398 392 12 395 28 462 436 376 405 336 393 399 434 436 451 467 356 467 433 403 538 406 466 466 400 463 413 378 413 453 416 365 360 410 315 423 603 359 440 414 601 441 447 427 428 426 417 420 448 421 423 422 421 424 422 382 424 423 428 427 415 409 426 429 421 315 428 428 374 430 604 239 450 237 9 376 437 12 435 435 404 472 435 460 460 439 463 360 343 444 441 454 446 331 442 331 454 456 453 413 456 442 315 382 418 324 450 403 459 389 477 415 477 455 442 470 455 452 458 455 395 432 179 609 437 743 731 462 460 404 451 467 389 474 480 481 405 465 471 470 466 470 345 326 405 467 472 472 451 479 475 15 475 345 476 452 478 366 466 482 469 469 474 472 611 611 483 482 494 193 488 493 200 202 544 238 201 22 156 199 492 156 490 487 493 499 495 498 498 620 260 206 499 193 494 495 259 193 496 509 496 502 306 507 505 502 306 503 506 508 14 503 272 499 502 510 698 515 24 216 201 517 747 532 202 202 200 24 516 210 539 521 518 686 526 594 523 525 532 223 519 517 520 513 521 550 528 489 536 638 538 728 530 731 543 528 22 528 526 521 547 529 635 631 541 524 536 732 518 522 630 542 577 597 114 11 653 662 542 619 646 10 728 542 574 573 654 554 656 549 549 549 576 223 654 554 553 556 83 560 229 572 114 556 571 556 659 548 665 662 567 556 560 562 553 559 562 570 557 578 559 84 565 656 662 566 559 696 569 71 83 559 570 565 564 658 554 566 219 545 18 545 18 592 566 586 540 576 674 582 698 590 582 585 667 587 584 580 676 584 587 584 598 590 590 223 587 585 647 705 594 523 580 649 519 591 576 223 579 597 595 649 700 595 705 520 700 701 579 688 222 18 270 275 340 348 312 362 362 365 385 605 602 370 329 386 607 157 460 611 460 609 746 762 608 612 610 484 730 780 614 612 461 769 610 615 774 614 364 475 10 202 102 26 501 19 623 500 624 624 622 626 620 104 626 100 620 97 306 629 636 533 536 529 529 537 638 637 634 533 634 537 535 596 16 535 630 640 634 643 640 740 641 616 640 735 535 642 590 646 646 648 595 597 702 698 589 645 744 642 750 653 651 544 653 115 552 657 660 558 558 558 556 562 658 668 667 70 802 655 799 554 558 656 665 669 664 659 665 672 583 557 667 68 799 668 721 799 557 681 672 677 799 70 671 672 802 722 677 665 675 684 695 684 680 672 675 682 671 666 710 678 717 684 682 678 692 706 684 694 720 692 713 597 666 691 713 682 692 724 714 722 694 709 527 707 711 696 84 699 701 703 632 637 16 702 593 700 537 701 800 702 648 705 702 68 807 688 707 806 710 708 688 702 683 712 711 712 713 694 711 718 723 679 711 715 679 718 723 716 679 721 715 691 723 720 681 690 725 724 726 725 727 725 531 728 735 759 749 752 22 744 534 731 635 734 735 733 736 735 760 730 642 757 739 644 740 742 737 729 650 30 742 736 745 731 733 733 749 11 747 651 650 749 750 650 741 730 750 752 611 767 751 729 774 754 753 755 765 774 615 741 736 771 767 760 766 763 758 758 796 758 771 765 760 761 763 765 763 753 767 782 792 615 613 783 787 762 765 29 613 782 762 615 482 778 764 779 482 776 797 768 787 777 783 781 772 782 761 783 770 786 3 784 797 777 785 786 790 785 3 790 786 791 795 793 795 787 792 796 794 798 775 795 797 792 613 798 800 660 660 689 675 803 802 805 706 707 808],
segmentlist=Int32[2 3 4 1 31 6 7 205 9 10 11 12 13 14 15 16 17 19 31 37 43 64 65 44 70 68 84 86 90 91 92 108 102 176 119 205 279 278 255 335 349 352 315 369 375 29 366 363 380 393 382 419 423 425 430 438 345 408 457 401 468 476 481 483 488 498 294 30 535 527 500 625 633 641 539 669 690 593 685 693 695 716 720 721 738 761 764 770 772 779 784 794 670 697 800 689 803 804 709 806 808; 690 779 419 108 5 119 176 8 488 539 438 393 64 255 468 800 90 500 6 43 17 65 37 92 670 84 13 44 86 102 1 91 625 8 7 5 375 352 278 279 382 335 408 363 369 772 345 349 430 9 4 423 380 315 425 12 476 457 366 483 401 15 29 481 10 294 14 738 641 695 498 19 16 633 11 803 669 806 721 716 693 685 2 720 535 764 30 784 794 761 3 770 68 593 697 804 689 70 808 709 527],
segmentmarkerlist=Int32[1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
holelist=[0.25 0.65; 0.25 0.65],
)
Testing example_domain_localref...
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0; 0.0 0.0 1.0 0.6 1.0],
segmentlist=Int32[1 2 3 4 5; 2 3 4 5 1],
segmentmarkerlist=Int32[1, 2, 3, 4, 5],
)
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0 1.0 0.8232233047033631 1.0 0.9482233047033631 0.8446699141100893 1.0 0.888152572012668 0.7116116523516816 0.7982382281660365 0.7732053261573386 0.7344569500903135 0.6558058261758408 0.714739609302631 0.6837087392637612 0.6810537362458502 0.6834531107803226 0.685035045309775 0.640526868122925 0.6279029130879203 0.6561909848714913 0.6418543696318806 0.6418058673670064 0.6420033257051279 0.6202634340614624 0.6139514565439601 0.6281266598845329 0.6209271848159402 0.6208995460831589 0.6210141572346046 0.6101317170307312 0.6069757282719801 0.6140619965595252 0.6104635924079701 0.610449915071254 0.6105065416906726 0.6050658585153655 0.60348786413599 0.607031054175923 0.605231796203985 0.6052249515712697 0.6052532933449759 0.6025337557992764 0.6037884597038354 0.6040116582920674 0.6035962577705627 0.6019398908391532 0.6033443797908469 0.6026399042530471 0.6044038436806869 0.6042964482876998 0.6072014549021005 0.6082309865383335 0.5978680519790753 0.608510411878379 0.6063641470937107 0.6006113180702135 0.6093542609718928 0.602080828766794 0.6029839617955253 0.597747079930165 0.5997969419016095 0.6010726228038588 0.6031011825570706 0.6152128420161261 0.5972417391859167 0.598135232739477 0.5932462003522829 0.45 0.3 0.6039326407786457 0.6064897320342464 0.6007889045735466 0.525 0.5625 0.58125 0.590625 0.5953124999999999 0.6057744258252309 0.6057906518950887 0.593288947869677 0.5944621064882568 0.5994145503467386 0.6164619698339345 0.5765276946211881 0.6127282937298327 0.5883735856396489 0.585500428076362 0.590936817322056 0.5929687499999999 0.5840015354611785 0.5931145836878637 0.5950048098811166 0.595559460339263 0.5943224491660473 0.596079411462286 0.5972270672223292 0.5959823955327442 0.5931740506055702 0.5920464122244562 0.596484375 0.59765625 0.5871552106568727 0.5824868198081717 0.5904456600154071 0.58728563876967 0.570051799577709 0.5852172893848635 0.5775883199049057 0.6273232825212252 0.6147433314306597 0.5859375 0.5609145151846846 0.6164589217440832 0.6123346505279094 0.5766106834556252 0.5832228907525467 0.5771464742417058 0.571875 0.6329240168894853 0.6212063578587854 0.5975817843741688 0.6254565983568058 0.6265051310871732 0.5964468583332264 0.5688582800679499 0.6290088234362183 0.5485457075172838 0.5626583891607081 0.6590611958007461 0.5584697975602306 0.5731812358539492 0.5727179326677474 0.6116743217505625 0.5389522214138764 0.5226451355950608 0.5801547501606057 0.5433226177800872 0.5841384989079751 0.5474587958542467 0.6658461925600656 0.5174184786768864 0.6037441298832341 0.650912936956856 0.6374250513302905 0.6500702184104412 0.533110034497087 0.4373652154155022 0.4801224469419774 0.7064311289483742 0.6392050617258953 0.6395969625696516 0.6066551363477953 0.7024912271143011 0.4113477410361075 0.44910450018113474 0.4724520582886408 0.4884779659578528 0.49347393480511437 0.6831172850080306 0.7875152434104062 0.5 0.5207043811078759 0.7395077775863754 0.5467690211427373 0.5133152575802266 0.72670824066976 0.7064143768291434 0.3224489336158818 0.0 0.4617326917957606 0.37716819308763466 0.5848906086953176 0.20759655528423543 1.0 0.4059667130614929 0.5577760907459636 0.8789597171122856 0.8094680588037659 0.6398241781463998 0.49548588210428235 0.8141191689717144 0.5275128446178534 0.24227510504183036 0.25 0.32593599313530075 0.576047126478038 0.375 0.0 0.9105394198345357 0.626331817038686 0.75 0.8367939767837405 0.6974865160022191 0.5699580529887412 0.15 0.0 0.34224762133325093 0.2985761718485924 0.16653337320087333 0.4541181071494184 0.12923490998111123; 0.0 0.0 1.0 0.6 1.0 0.5 0.8232233047033631 0.75 0.875 0.625 0.625 0.7299764224364349 0.7116116523516816 0.7365967288890082 0.6607236669471624 0.49386452020870697 0.6558058261758408 0.6526778692248913 0.6837087392637612 0.5747520899299906 0.6199586642761028 0.649763865543734 0.5873760449649953 0.6279029130879203 0.6275177543922699 0.6418543696318806 0.610004037497133 0.6245064119887995 0.5936880224824976 0.6139514565439601 0.6137277097473476 0.6209271848159402 0.6050009635248 0.6122620121808564 0.5968440112412489 0.6069757282719801 0.606865188256415 0.6104635924079701 0.6025005260040676 0.6061306269712666 0.5984220056206244 0.60348786413599 0.6034325382320471 0.605231796203985 0.6012502611441606 0.6030653293699603 0.6009541083367136 0.6019281552948043 0.5998999081134154 0.6008805998789958 0.5973071628716454 0.598308996601352 0.5995398704650864 0.5953383086933154 0.5969742744359511 0.5963434699595016 0.5996625654055254 0.5896851945790524 0.5883045195386867 0.5997675775551193 0.5931182971189652 0.5925679627098465 0.5949573388805928 0.5961906456527916 0.5963318638789376 0.5952756720724737 0.5960760072128359 0.5883161650606216 0.5891931615904249 0.592998230954709 0.5945679059286034 0.5905271756961946 0.7 0.8 0.5917938218242524 0.5932574471785408 0.5901638214331714 0.6499999999999999 0.625 0.6124999999999999 0.60625 0.603125 0.5737386419433165 0.5812754902989027 0.5776555691632244 0.5840953395563805 0.5849103370981152 0.5993251204008584 0.5840357781037152 0.5995351522791593 0.5977947534594734 0.5824011795167309 0.6016396009830842 0.6046875 0.6034862879010613 0.5974109224166047 0.5950424423436832 0.5974236071030194 0.6002260700760426 0.6006696205323784 0.5980275019583868 0.5988601340231345 0.6022368018923764 0.5995359282202215 0.60234375 0.6015625 0.6013838377705986 0.597797732959549 0.5939167612080587 0.588454168522429 0.6041548008926851 0.5932959819401632 0.5917476830978616 0.5806703689664341 0.5943940249713113 0.609375 0.590111959698372 0.577484080951934 0.5827841008390258 0.5590472012548373 0.5698991894235504 0.6063205289200769 0.6187499999999999 0.5986504887074046 0.546828837405851 0.553709764525097 0.5990703719793066 0.5633446625009407 0.5658640000987459 0.5949372822678232 0.5900076926977915 0.6081541056713763 0.5714952909271457 0.5437917827377198 0.6016967775702005 0.5737971274333441 0.4998852967860325 0.5596353360861579 0.6303033321208145 0.5771371517773575 0.5291049874451312 0.5790740677484838 0.5447573691491985 0.5404158293028979 0.5972950665227358 0.607824205511105 0.5308711225608262 0.5981391370959894 0.5115478737587806 0.5657013629000976 0.5959174390066057 0.578400802574456 0.5856832670918649 0.533434038536251 0.5337345027212714 0.5514311993157861 0.49693009982969627 0.41894213013168335 0.3943580639870403 0.6386370386590868 0.5015574902185739 0.6347958768509746 0.5420533377676714 0.4872119359334271 0.5611536626319789 0.0 0.5490814124157419 0.5976763817388726 0.5118497811598431 0.4799531890204525 0.35223641619802065 0.5960730154785785 0.6711734004238228 0.5 0.43665296638577444 0.6213944825868888 0.4433317377081257 0.6415156721519487 0.25 0.5176321452417982 0.3733469480450703 0.536798730825579 0.4892804846834323 0.45224313598135074 0.34241486809235894 0.39296068565958947 0.4359648336418751 0.5280782539805448 0.0 0.5512977555688494 0.2850806873001529 0.75 0.75 0.3914534586234452 0.3616432710458348 0.0 0.23011935437261005 0.21521528366551032 0.1340216109221319 0.9 0.25 0.29195766909811144 0.42551817720131524 0.30842291419654555 0.21012807861068253 0.44417053293205366],
pointmarkerlist=Int32[1, 1, 2, 3, 4, 2, 3, 2, 0, 0, 2, 0, 3, 0, 0, 0, 3, 0, 3, 0, 0, 0, 0, 3, 0, 3, 0, 0, 0, 3, 0, 3, 0, 0, 0, 3, 0, 3, 0, 0, 0, 3, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 0, 0, 0, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 4, 5, 0, 0, 1, 0, 0, 0, 4, 5, 0, 0, 0, 0, 0],
trianglelist=Int32[8 103 8 169 12 183 8 9 15 13 14 182 11 7 14 14 22 56 168 17 22 164 154 124 18 172 23 154 19 88 28 25 25 24 27 61 25 145 26 56 34 31 31 30 33 90 31 124 32 60 40 37 37 36 39 52 37 88 38 41 41 43 43 42 45 50 43 57 44 48 42 53 46 42 50 53 53 45 61 62 49 64 47 51 66 88 64 56 54 56 90 43 68 64 59 119 56 43 67 61 69 62 67 75 67 54 190 58 67 71 64 67 72 59 59 29 108 97 146 61 70 132 65 130 85 138 59 76 56 54 87 75 93 117 93 82 97 129 87 83 92 92 72 87 85 84 127 37 133 115 37 116 72 110 136 107 104 79 103 91 96 96 109 72 81 98 102 96 65 82 4 101 4 99 94 104 91 96 106 108 100 82 95 110 108 110 109 112 79 113 91 112 111 113 155 114 62 29 121 95 117 138 69 83 69 147 150 136 120 123 108 148 122 31 129 120 133 138 131 31 150 114 121 138 135 89 29 23 140 139 143 133 147 134 135 135 117 120 185 150 125 118 79 139 166 167 144 126 117 140 144 147 153 141 172 25 162 153 137 157 150 25 149 164 134 145 132 140 74 141 146 152 154 20 147 149 125 134 165 164 171 175 167 191 178 152 180 164 73 153 152 180 149 177 165 15 195 163 140 161 172 15 167 175 176 186 181 191 154 18 2 187 180 74 186 191 171 161 184 184 179 194 137 198 176 152 175 159 182 11 157 16 196 166 175 204 199 200 158 194 173 149 173 6 191 204 180 206 176 174 179 171 187 203 74 196 205 2 201 196 200 204 203 203 203 206 189 178 201; 9 104 12 170 9 182 3 3 10 18 12 11 12 13 10 13 21 54 15 22 25 158 165 148 13 18 124 168 22 127 31 27 22 28 25 77 17 148 28 41 37 33 28 34 31 39 24 127 34 45 43 39 34 40 37 55 30 90 40 49 60 45 40 46 43 48 36 60 46 46 4 52 48 47 45 51 50 50 66 35 50 55 4 53 61 115 52 55 63 35 57 57 77 54 62 69 60 60 4 58 62 69 65 63 64 64 188 61 66 66 67 51 86 68 84 69 95 71 153 71 72 135 98 89 83 118 75 75 76 75 77 77 107 130 94 103 70 121 58 118 85 121 97 85 87 68 88 88 136 90 90 80 109 86 121 81 91 135 94 107 91 97 97 70 107 101 100 98 101 99 101 100 106 98 103 103 104 99 100 107 106 100 116 89 112 92 112 113 139 89 112 108 130 108 156 118 115 115 136 81 151 83 118 119 119 126 23 92 126 122 122 124 123 124 83 143 142 125 127 127 128 128 129 129 130 130 114 131 142 146 144 117 149 149 111 132 136 136 175 156 138 138 78 78 199 144 120 147 135 167 143 143 163 144 145 145 73 146 157 147 148 148 147 154 20 150 146 151 173 169 78 161 16 134 155 134 156 156 182 16 158 187 163 181 188 153 176 184 162 162 163 190 157 137 16 165 181 170 163 170 21 168 169 180 73 171 195 205 172 172 197 181 152 200 183 198 186 152 177 157 194 186 170 197 160 160 185 202 183 182 137 158 198 205 170 206 198 193 184 183 178 184 190 182 185 201 175 204 192 178 6 195 185 204 178 197 185 179 1 199 5 189 202 159 188 178 205 206 206; 12 99 11 137 7 165 9 7 14 15 7 10 10 14 12 15 18 76 18 19 21 16 168 27 19 21 131 172 18 33 27 148 17 26 28 75 26 150 25 55 33 127 24 32 34 57 32 131 31 49 39 90 30 38 40 41 38 115 37 52 49 60 36 44 46 47 44 56 43 42 47 49 45 48 48 52 47 49 71 56 53 52 53 4 63 29 51 54 75 57 35 39 87 55 76 59 41 57 65 77 59 115 66 61 51 63 203 70 63 65 63 4 58 84 119 114 122 65 140 70 58 79 97 113 84 83 68 59 62 76 58 68 91 135 81 99 71 120 86 119 86 85 109 84 86 87 29 33 117 35 88 122 110 72 92 95 96 123 93 108 109 98 96 97 93 102 99 99 98 100 65 102 101 102 82 93 93 104 101 95 105 105 122 92 91 86 110 110 132 110 109 113 108 130 125 128 35 69 120 116 142 129 114 84 118 143 114 89 129 80 111 23 111 27 85 126 144 128 29 124 156 150 85 126 111 117 131 114 151 132 141 142 155 164 123 151 89 133 159 134 126 128 139 146 205 142 133 125 151 142 120 141 140 169 20 21 160 162 141 141 23 145 157 134 150 20 151 146 192 137 162 163 165 154 125 155 128 155 10 154 195 170 169 185 190 160 190 158 78 160 153 203 184 187 183 10 191 169 167 163 145 165 144 159 192 197 177 199 20 168 196 177 176 178 16 195 158 180 195 177 197 197 187 171 73 176 187 185 194 6 177 186 199 189 161 201 191 178 195 186 190 164 176 194 205 189 161 203 173 193 194 198 181 202 173 198 202 197 189 166 193 202 159 180 206 174 202 188 174],
segmentlist=Int32[2 3 42 200 1 6 7 8 11 13 17 19 24 26 30 32 36 38 42 44 74 73 78 79 80 81 82 94 106 105 116 123 174 192 179 166 196 200 193 201 189; 196 8 4 5 201 179 3 11 6 7 19 13 26 17 32 24 38 30 44 36 192 78 79 123 116 94 105 82 4 106 81 80 193 73 2 189 166 74 5 174 1],
segmentmarkerlist=Int32[1, 2, 3, 4, 5, 2, 3, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 4, 2, 1, 1, 4, 5, 5, 1],
)
Testing example_domain_qcdt_area...
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0; 0.0 0.0 1.0 0.6 1.0],
segmentlist=Int32[1 2 3 4 5; 2 3 4 5 1],
segmentmarkerlist=Int32[1, 2, 3, 4, 5],
)
TriangulateIO(
pointlist=[0.0 1.0 1.0 0.6 0.0 1.0 0.8232233047033631 0.8146446609406727 0.75 1.0 0.5 0.7164625555479931 0.2291023760052876 0.4814079247456938 0.5557167207888253 0.25 0.3538824089731961 0.3 0.0 0.35397569087731184 0.0 0.0; 0.0 0.0 1.0 0.6 1.0 0.5 0.8232233047033631 0.6085786437626904 0.125 0.25 0.0 0.37559343859410305 0.39429668009814745 0.3960289053560285 0.2010665584223494 0.0 0.17499999999999996 0.8 0.5 0.5815211946210894 0.25 0.75],
pointmarkerlist=Int32[1, 1, 2, 3, 4, 2, 3, 0, 0, 2, 1, 0, 0, 0, 0, 1, 0, 4, 5, 0, 5, 5],
trianglelist=Int32[15 10 4 6 6 12 2 6 2 17 12 12 10 4 16 22 17 12 20 17 17 11 20 16 20 20 13 18; 11 6 8 8 7 8 10 3 9 11 14 4 12 20 17 19 15 15 19 14 13 17 4 21 13 18 19 5; 9 12 7 12 8 4 9 7 11 15 15 14 9 14 21 20 14 9 13 13 21 16 18 1 14 22 21 22],
segmentlist=Int32[2 3 7 18 1 6 7 10 11 16 18 19 21 22; 11 6 4 5 21 10 3 2 16 1 4 22 19 5],
segmentmarkerlist=Int32[1, 2, 3, 4, 5, 2, 3, 2, 1, 1, 4, 5, 5, 5],
)
Testing example_domain_regions...
TriangulateIO(
pointlist=[0.0 0.5 1.0 1.0 0.6 0.0; 0.0 0.0 0.0 1.0 0.6 1.0],
segmentlist=Int32[1 2 3 4 5 6 2; 2 3 4 5 6 1 5],
segmentmarkerlist=Int32[1, 2, 3, 4, 5, 6, 7],
regionlist=[0.2 0.8; 0.2 0.2; 1.0 2.0; 0.01 0.05],
)
TriangulateIO(
pointlist=[0.0 0.5 1.0 1.0 0.6 0.0 0.34404380947036495 0.25 0.5410997468263393 0.2973246824132683 0.0 0.375 0.125 0.5205498734131697 0.5705498734131697 0.4235919597475793 1.0 0.38739249994769887 0.0 0.2928902621725018 0.3529456842450092 0.45928263203035696 0.16723656249233176 0.25151628136637244 0.1508810141432239 0.0625 0.17763994218506862 1.0 0.3 0.5487385724857329 0.45 0.4404139501252029 0.4616688312949001 0.293136128678406 0.3399933809204372 0.17305881591885175 0.34933731535091617 0.2370903204789695 0.0 0.0 0.07463097150282118 0.09047882304737391 0.07951771598728948 0.08484821770206911 0.18642575165784916 0.15 0.08019218721241285 0.2416085545202448 0.15970216492739414 0.0 0.7713165477790076 0.8003252178063741 0.8232233047033631 0.8146446609406727; 0.0 0.0 0.0 1.0 0.6 1.0 0.41505905158848155 0.0 0.24659848095803594 0.19327036638827458 0.5 0.0 0.0 0.12329924047901798 0.42329924047901796 0.2028210024472228 0.5 0.10426234304692175 0.25 0.08613720931268791 0.2973689329379859 0.36459379416727933 0.3425039401568925 0.28465503358473654 0.22835788432439463 0.12272901625431305 0.10408563102528397 0.25 0.8 0.5177390142763176 0.7 0.4783147939809184 0.5884455579926824 0.6272041930176091 0.5262677194617051 0.5101168864478826 0.7115059730263742 0.42398507404347946 0.75 0.375 0.3125 0.4375 0.625 0.5338167768052542 0.616524095233291 0.9 0.7132213279139086 0.7157852224184145 0.7899393157714185 0.875 0.14486690444198488 0.3773825912838984 0.8232233047033631 0.6085786437626904],
pointmarkerlist=Int32[1, 1, 2, 3, 4, 5, 0, 1, 7, 0, 6, 1, 1, 7, 7, 0, 3, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 3, 5, 0, 5, 0, 0, 0, 0, 0, 0, 0, 6, 6, 0, 0, 0, 0, 0, 5, 0, 0, 0, 6, 0, 0, 4, 0],
trianglelist=Int32[27 22 2 24 52 51 8 25 33 16 10 9 51 15 12 10 2 30 22 28 7 1 53 51 18 16 25 12 10 7 38 22 35 42 7 25 25 13 19 8 27 11 9 7 15 30 5 33 5 37 45 40 33 35 45 25 31 48 24 35 19 49 42 42 41 38 43 39 42 45 36 34 49 43 45 48 29 49 49 3 46 52 9 52 17 17; 10 16 51 25 5 2 20 19 31 18 21 16 28 32 18 18 14 32 9 17 22 13 5 9 12 21 26 20 20 21 24 21 36 36 24 24 23 27 1 27 20 44 51 32 5 33 31 34 33 34 34 42 35 34 48 41 29 37 38 38 41 39 38 41 42 42 44 11 44 44 34 37 50 47 47 49 49 29 46 28 6 17 52 54 4 53; 25 9 14 10 15 3 27 26 37 14 24 14 52 22 20 16 18 15 15 52 32 26 54 14 2 10 27 8 18 22 7 16 38 44 21 23 41 26 26 13 10 43 52 35 30 32 33 35 30 33 48 11 32 36 47 19 37 29 23 7 40 47 36 23 40 23 45 43 11 36 45 48 39 39 43 47 48 46 50 51 50 54 15 5 53 54],
triangleattributelist=[1.0 1.0 2.0 1.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 2.0 1.0 1.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 2.0 1.0 2.0 2.0 2.0 2.0 2.0],
segmentlist=Int32[2 3 4 53 46 1 15 8 12 9 14 15 11 19 13 17 29 31 39 40 46 50 28 53; 12 2 17 5 6 19 5 13 8 14 2 9 39 40 1 28 31 5 50 11 29 6 3 4],
segmentmarkerlist=Int32[1, 2, 3, 4, 5, 6, 7, 1, 1, 7, 7, 7, 6, 6, 1, 3, 5, 5, 6, 6, 5, 6, 3, 4],
regionlist=[0.2 0.8; 0.2 0.2; 1.0 2.0; 0.01 0.05],
)
  0.232764 seconds (89.72 k allocations: 3.874 MiB)
  test_triangulate:
   compile:  0.088068 seconds (127.99 k allocations: 7.198 MiB)
       run:  0.001073 seconds (127 allocations: 19.324 KiB)
  test_triangulate2:
   compile:  0.225101 seconds (226.98 k allocations: 12.405 MiB, 4.16% gc time)
       run:  0.000594 seconds (109 allocations: 8.191 KiB)
  test_triangulate_catch_exit:
   compile:Catched TriangulateError
  0.042997 seconds (42.22 k allocations: 2.332 MiB)
       run:Catched TriangulateError
  0.001001 seconds (76 allocations: 5.141 KiB)
 15.259610 seconds (10.19 M allocations: 522.799 MiB, 4.20% gc time)
 15.260735 seconds (10.19 M allocations: 522.802 MiB, 4.20% gc time)
Error:  Input must have at least three input vertices.
Error:  Input must have at least three input vertices.
Constructing Delaunay triangulation by divide-and-conquer method.
Recovering segments in Delaunay triangulation.
Removing unwanted triangles.
Adding Steiner points to enforce quality.

Writing vertices.
Writing triangles.
Writing segments.

Statistics:

  Input vertices: 5
  Input segments: 5
  Input holes: 0

  Mesh vertices: 22
  Mesh triangles: 28
  Mesh edges: 49
  Mesh exterior boundary edges: 14
  Mesh interior boundary edges: 0
  Mesh subsegments (constrained edges): 14

Constructing Delaunay triangulation by divide-and-conquer method.
Recovering segments in Delaunay triangulation.
Removing unwanted triangles.
Adding Steiner points to enforce quality.

Writing vertices.
Writing triangles.
Writing segments.

Statistics:

  Input vertices: 5
  Input segments: 5
  Input holes: 0

  Mesh vertices: 22
  Mesh triangles: 28
  Mesh edges: 49
  Mesh exterior boundary edges: 14
  Mesh interior boundary edges: 0
  Mesh subsegments (constrained edges): 14

Error:  Input must have at least three input vertices.
Error:  Input must have at least three input vertices.
    Testing Triangulate tests passed