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TetGen, a Delaunay-Based Quality Tetrahedral Mesh Generator

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Abstract

TetGen is a C++ program for generating good quality tetrahedral meshes aimed to support numerical methods and scientific computing. The problem of quality tetrahedral mesh generation is challenged by many theoretical and practical issues. TetGen uses Delaunay-based algorithms which have theoretical guarantee of correctness. It can robustly handle arbitrary complex 3D geometries and is fast in practice. The source code of TetGen is freely available.

This article presents the essential algorithms and techniques used to develop TetGen. The intended audience are researchers or developers in mesh generation or other related areas. It describes the key software components of TetGen, including an efficient tetrahedral mesh data structure, a set of enhanced local mesh operations (combination of flips and edge removal), and filtered exact geometric predicates. The essential algorithms include incremental Delaunay algorithms for inserting vertices, constrained Delaunay algorithms for inserting constraints (edges and triangles), a new edge recovery algorithm for recovering constraints, and a new constrained Delaunay refinement algorithm for adaptive quality tetrahedral mesh generation. Experimental examples as well as comparisons with other softwares are presented.

References

  1. P. Alliez, D. Cohen-Steiner, M. Yvinec, and M. Desbrun. 2005. Variational tetrahedral meshing. ACM Trans. Graph. 24, 3, 617--625. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. N. Amenta, S. Choi, and G. Rote. 2003. Incremental construction con BRIO. In Proceedings of the 19th ACM Symposium on Computational Geometry. ACM, 211--219. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. F. Aurenhammer. 1991. Voronoi diagrams -- A study of fundamental geometric data structures. ACM Comput. Surv. 23, 345--405. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. T. J. Baker. 1989. Automatic mesh generation for complex three-dimensional regions using a constrained delaunay triangulation. Eng. Comput. 5, 161--175.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. C. B. Barber, D. P. Dobkin, and H. T. Huhdanpaa. 1996. The quickhull algorithm for convex hulls. ACM Trans. Math. Softw. 22, 4, 469--483. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. M. W. Bern and D. Eppstein. 1995. Mesh generation and optimal triangulations. In Computing in Euclidean Geometry (2nd Ed.), D.-Z. Du and F. K.-M. Hwang (Eds.), Number 4 in Lecture Notes Series on Computing. World Scientific, 47--123.Google ScholarGoogle Scholar
  7. D. K. Blandford, G. E. Blelloch, D. E. Cardoze, and C. Kadow. 2005. Compact representations of simplical meshes in 2 and 3 dimensions. Internat. J. Comput. Geom. Appl. 15, 3--24.Google ScholarGoogle ScholarCross RefCross Ref
  8. J.-D. Boissonnat, O. Devillers, and S. Hornus. 2009. Incremental construction of the delaunay triangulation and the Delaunay graph in medium dimension. In Proceedings of the 25th Annual Symposium on Computational Geometry. ACM, 208--216. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. H. Borouchaki, P. L. George, and S. H. Lo. 1996. Optimal Delaunay point insertion. Int. J. Numer. Methods Engrg. 39, 3407--3437.Google ScholarGoogle ScholarCross RefCross Ref
  10. A. Bowyer. 1987. Computing Dirichlet tessellations. Comput. J. 24, 2, 162--166.Google ScholarGoogle ScholarCross RefCross Ref
  11. H. Broennimann, C. Burnikel, and S. Pion. 1998. Interval arithmetic yields efficient dynamic filters for computational geometry. In Proceedings of the 14th Annual Symposium on Computational Geometry. ACM, 165--174. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. C. Burnikel, S. Funke, and M. Seel. 2001. Exact geometric computations using cascading. Internat. J. Comput. Geom. Appl. 11, 245--266.Google ScholarGoogle ScholarCross RefCross Ref
  13. B. Chazelle. 1984. Convex partition of polyhedra: A lower bound and worst-case optimal algorithm. SIAM J. Comput. 13, 3, 488--507. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. B. Chazelle and L. Palios. 1990. Triangulating a non-convex polytope. Disc. Computat. Geom. 5, 3, 505--526.Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. J. Chen, D. Zhao, Z. Huang, Y. Zheng, and S. Gao. 2011. Three-dimensional constrained boundary recovery with an enhanced steiner point suppression procedure. Comput. Struct. 89, 5--6, 455--466. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. L. Chen and J.-C. Xu. 2004. Optimal Delaunay triangulations. J. Comput. Math. 22, 2, 299--308.Google ScholarGoogle Scholar
  17. S.-W. Cheng, T. K. Dey, H. Edelsbrunner, M. A. Facello, and S.-H. Teng. 2000. Sliver exudation. J. ACM 47, 883--904. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. S.-W. Cheng, T. K. Dey, and J. A. Levine. 2007. A practical Delaunay meshing algorithm for a large class of domains. In Proceedings of the 16th International Meshing Roundtable. Sandia National Laboratories. Springer, 477--494.Google ScholarGoogle Scholar
  19. S.-W. Cheng, T. K. Dey, E. A. Ramos, and T. Ray. 2005. Quality meshing for polyhedra with small angles. Int. J. Comput. Geom. Appl. 15, 421--461.Google ScholarGoogle ScholarCross RefCross Ref
  20. L. P. Chew. 1989a. Constrained Delaunay triangulation. Algorithmica 4, 97--108.Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. L. P. Chew. 1989b. Guaranteed-quality triangular meshes. Tech. Rep. TR 89-983. Department of Computer Science, Cornell University.Google ScholarGoogle Scholar
  22. K. L. Clarkson and P. W. Shor. 1989. Applications of random sampling in computational geometry, II. Disc. Computat. Geom. 4, 387--421.Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. D. Cohen-Steiner, É. C. de Verdière, and M. Yvinec. 2004. Conforming Delaunay triangulations in 3D. Comput. Geom. Theory Appl. 28, 2--3, 217--233. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. B. N. Delaunay. 1934. Sur la sphère vide. Izvestia Akademii Nauk SSSR, Otdelenie Matematicheskikh i Estestvennykh Nauk 7, 793--800.Google ScholarGoogle Scholar
  25. O. Devillers and S. Pion. 2003. Efficient exact geometric predicates for Delaunay triangulations. In Proceedings of the 5th Workshop on Algorithm Engineering and Experiments. SIAM, 37--44.Google ScholarGoogle Scholar
  26. O. Devillers, S. Pion, and M. Teillaud. 2002. Walking in triangulation. Int. J. Found. Comput. Sci. 13, 2, 181--199.Google ScholarGoogle ScholarCross RefCross Ref
  27. D. P. Dobkin and M. J. Laszlo. 1989. Primitives for the manipulation of three-dimensional subdivisions. Algorithmica 4, 3--32.Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Q. Du, V. Faber, and M. Gunzburger. 1999. Centroidal Voronoi tessellations: Applications and algorithms. SIAM Rev. 41, 4, 637--676. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Q. Du and D. Wang. 2003. Tetrahedral mesh generation and optimization based on centroidal Voronoi tessellations. Int. J. Numer. Meth. Eng. 56, 1355--1373.Google ScholarGoogle ScholarCross RefCross Ref
  30. Q. Du and D. Wang. 2004. Constrained boundary recovery for the three dimensional Delaunay triangulations. Int. J. Numer. Methods Eng. 61, 1471--1500.Google ScholarGoogle ScholarCross RefCross Ref
  31. H. Edelsbrunner. 2001. Geometry and Topology for Mesh Generation. Cambridge University Press, Cambridge, UK. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. H. Edelsbrunner and E. P. Mücke. 1990. Simulation of simplicity: A technique to cope with degenerate cases in geometric algorithm. ACM Trans. Graph. 9, 1, 66--104. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. H. Edelsbrunner and N. R. Shah. 1996. Incremental topological flipping works for regular triangulations. Algorithmica 15, 223--241.Google ScholarGoogle ScholarCross RefCross Ref
  34. H. Edelsbrunner and N. R. Shah. 1997. Triangulating topological spaces. Int. J. Computat. Geom. Appl. 7, 4, 365--378.Google ScholarGoogle ScholarCross RefCross Ref
  35. S. Fortune and C. J. Van Wyk. 1996. Static analysis yield efficient exact integer arithmetic for computational geometry. ACM Trans. Graph. 15, 3, 223--248. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. L. A. Freitag and C. Ollivier-Gooch. 1997. Tetrahedral mesh improvement using swapping and smoothing. Int. J. Numer. Methods Eng. 40, 21, 3979--4002.Google ScholarGoogle ScholarCross RefCross Ref
  37. P. J. Frey and P. L. George. 2000. Mesh Generation - Application to Finite Elements (1st Ed.). Hermes Science Publishing, Oxford, UK, 814 pages. ISBN 1-903398-00-2. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. R. V. Garimella. 2002. Mesh data structure selection for mesh generation and FEA applications. Int. J. Numer. Methods Eng. 55, 4 (Oct. 2002), 451--478.Google ScholarGoogle ScholarCross RefCross Ref
  39. P. L. George and H. Borouchaki. 2003. Back to edge flips in 3 dimensions. In Proceedings of the 12th International Meshing Roundtable. Sandia National Laboratories, 393--402.Google ScholarGoogle Scholar
  40. P. L. George, H. Borouchaki, and E. Saltel. 2003. Ultimate robustness in meshing an arbitrary polyhedron. Int. J. Numer. Methods Eng. 58, 1061--1089.Google ScholarGoogle ScholarCross RefCross Ref
  41. P. L. George, F. Hecht, and E. Saltel. 1991. Automatic mesh generator with specified boundary. Comput. Methods Appl. Mech. Eng. 92, 269--288. Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. L. Guibas and J. Stolfi. 1985. Primitives for the manipulation of general subdivisions and the computation of Voronoi diagrams. ACM Trans. Graph. 4, 4, 75--123. Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. W. Huang. 2005. Measuring mesh qualities and application to variational mesh adaption. SIAM J. Sci. Comput. 26, 1643--1666. Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. B. Hudson. 2007. Dynamic mesh refinement. Ph.D. dissertation, CMU-CS-07-162. School of Computer Science, Carnegie Mellon University, Pittsburgh, PA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. C. Jamin, P. Alliez, M. Yvinec, and J.-D. Boissonnat. 2013. CGALmesh: A generic framework for Delaunay mesh generation. Tech. Rep. 8256. INRIA.Google ScholarGoogle Scholar
  46. B. Joe. 1995. Construction of three-dimensional improved-quality triangulations using local transformations. SIAM J. Sci. Comput. 16, 6, 1292--1307. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. B. M. Klinger and J. R. Shewchuk. 2007. Aggressive tetrahedral mesh improvement. In Proceedings of the 16th International Meshing Roundtable. Springer, 3--23.Google ScholarGoogle Scholar
  48. M. Kremer, D. Bommes, and L. Kobbelt. 2012. OpenVolumeMesh - A versatile index-based data structure for 3D polytopal complexes. In Proceedings of the 21st International Meshing Roundtable. Springer, 531--548.Google ScholarGoogle Scholar
  49. C. L. Lawson. 1977. Software for C1 Surface Interpolation. In Mathematical Software III, Academic Press, New York, 164--191.Google ScholarGoogle Scholar
  50. D. T. Lee and A. K. Lin. 1986. Generalized Delaunay triangulations for planar graphs. Disc. Computat. Geom. 1, 201--217.Google ScholarGoogle ScholarDigital LibraryDigital Library
  51. X.-Y. Li and S.-H. Teng. 2001. Generating well-shaped Delaunay meshes in 3D. In Proceedings of the 12th Annual Symposium on Discrete Algorithms. SIAM, 28--37. Google ScholarGoogle ScholarDigital LibraryDigital Library
  52. A. Liu and M. Baida. 2000. How far flipping can go towards 3D conforming/constrained triangulation. In Proceedings of the 9th International Meshing Roundtable. Sandia National Laboratories, 307--315.Google ScholarGoogle Scholar
  53. Y. Liu and J. Snoeyink. 2005. A comparsion of five implementations of 3D Delaunay tessellation. In Combinatorial and Computational Geometry, vol. 52, J. E. Goodman, J. Pach, and E. Welzl (Eds.), MSRI Publications, New York, 439--458.Google ScholarGoogle Scholar
  54. G. L. Miller, D. Talmor, S.-H. Teng, N. Walkington, and H. Wang. 1996. Control volume meshes using sphere packing: Generation, refinement and coarsening. In Proceedings of the 5th International Meshing Roundtable. Sandia National Laboratories, 47--61.Google ScholarGoogle Scholar
  55. J.-M. Mirebeau. 2012. Optimally adapted meshes for finite elements of arbitrary order and W1,p norms. Numer. Math. 120, 271--305. Google ScholarGoogle ScholarDigital LibraryDigital Library
  56. S. A. Mitchell and S. A. Vavasis. 2000. Quality mesh generation in higher dimensions. SIAM J. Comput. 29, 4, 1334--1370. Google ScholarGoogle ScholarDigital LibraryDigital Library
  57. E. P. Mücke. 1993. Shapes and implementations in three-dimensions geometry. Ph.D. Dissertation, Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, Illinois.Google ScholarGoogle Scholar
  58. M. Murphy, D. M. Mount, and C. W. Gable. 2000. A point-placement strategy for conforming Delaunay tetrahedralizations. In Proceedings of the 11th Annual ACM-SIAM Symposium on Discrete Algorithms. Sandia National Laboratories, 69--93. Google ScholarGoogle ScholarDigital LibraryDigital Library
  59. A. Nanveski, G. Blelloch, and R. Harper. 2003. Automatic Generation of staged geometric predicates. High. Ord. Symb. Computat. 16, 4, 379--400. Google ScholarGoogle ScholarDigital LibraryDigital Library
  60. C. Ollivier-Gooch. 2005. GRUMMP -- Generation and Refinement of Unstructed, Mixed-Element Meshes in Parallel. http://tetra.mech.ubc.ca/GRUMMP/. (2005). (Last accessed November 2009.)Google ScholarGoogle Scholar
  61. S. Oudot, L. Rineau, and M. Yvinec. 2005. Meshing volumes bounded by smooth surfaces. In Proceedings of the 14th International Meshing Roundtable. Sandia National Laboratories, Springer, 203--220.Google ScholarGoogle Scholar
  62. S. J. Owen. 1998. A survey of unstructed mesh generation technology. In Proceedings of the 7th International Meshing Roundtable. Sandia National Laboratories, 239--267.Google ScholarGoogle Scholar
  63. S. E. Pav and N. Walkington. 2004. Robust three dimensional Delaunay refinement. In Proceedings of the 13th International Meshing Roundtable. Springer, 145--156.Google ScholarGoogle Scholar
  64. D. M. Priest. 1991. Algorithms for arbitrary precision floating point arithmetic. In Proceedings of the 10th Symposium on Computer Arithmetic. IEEE, 132--143.Google ScholarGoogle ScholarCross RefCross Ref
  65. J. Radon. 1921. Mengen Konvexer Körper, die Einen Gemeinschaftlichen Punkt Enthalten. Math. Ann. 83, 113--115.Google ScholarGoogle ScholarCross RefCross Ref
  66. V. T. Rajan. 1994. Optimality of the Delaunay triangulation in ℝd. Disc. Computat. Geom. 12, 189--202.Google ScholarGoogle ScholarDigital LibraryDigital Library
  67. A. Rand and N. Walkington. 2009. Collars and intestines: Practical conforming Delaunay refinement. In Proceedings of the 18th International Meshing Roundtable. Springer, 481--497.Google ScholarGoogle Scholar
  68. M.-C. Rivara. 1997. New longest-edge algorithms for the refinement and/or improvement of unstructured triangulations. Int. J. Numer. Methods Eng. 40, 3313--3324.Google ScholarGoogle ScholarCross RefCross Ref
  69. J. Ruppert. 1995. A Delaunay refinement algorithm for quality 2-dimensional mesh generation. J. Algor. 18, 3, 548--585. Google ScholarGoogle ScholarDigital LibraryDigital Library
  70. J. Ruppert and R. Seidel. 1992. On the difficulty of triangulating three-dimensional nonconvex polyhedra. Disc. Computat. Geom. 7, 227--253.Google ScholarGoogle ScholarDigital LibraryDigital Library
  71. J. Schöberl. 1997. NETGEN, An advancing front 2D/3D-mesh generator based on abstract rules. Comput. Visual. Sci. 1, 41--52.Google ScholarGoogle ScholarCross RefCross Ref
  72. E. Schönhardt. 1928. Über die Zerlegung von Dreieckspolyedern in Tetraeder. Math. Ann. 98, 309--312.Google ScholarGoogle Scholar
  73. J. R. Shewchuk. 1996a. Robust adaptive floating-point geometric predicates. In Proceedings of the 12th Annual Symposium on Computational Geometry. ACM, 141--150. Google ScholarGoogle ScholarDigital LibraryDigital Library
  74. J. R. Shewchuk. 1996b. Triangle: Engineering a 2D quality mesh generator and Delaunay triangulator. In Applied Computational Geometry: Towards Geometric Engineering, M. C. Lin and D. Manocha (Eds.). Lecture Notes in Computer Science, vol. 1148, Springer, Berlin Heidelberg, 203--222. http://www.cs.cmu.edu/~quake/triangle.html. Google ScholarGoogle ScholarDigital LibraryDigital Library
  75. J. R. Shewchuk. 1998a. A condition guaranteeing the existence of higher-dimensional constrained Delaunay triangulations. In Proceedings of the 14th Annual Symposium on Computational Geometry. ACM, 76--85. Google ScholarGoogle ScholarDigital LibraryDigital Library
  76. J. R. Shewchuk. 1998b. Tetrahedral mesh generation by Delaunay refinement. In Proceedings of the 14th Annual Symposium on Computational Geometry. ACM, 86--95. Google ScholarGoogle ScholarDigital LibraryDigital Library
  77. J. R. Shewchuk. 2002a. Constrained Delaunay tetrahedralizations and provably good boundary recovery. In Proceedings of the 11th International Meshing Roundtable. Springer, 193--204.Google ScholarGoogle Scholar
  78. J. R. Shewchuk. 2002b. Two discrete optimization algorithms for the topological improvement of tetrahedral meshes. www.cs.berkeley.edu/~jrs/papers/edge.pdf.Google ScholarGoogle Scholar
  79. J. R. Shewchuk. 2002c. What is a good linear element? Interpolation, Conditioning, and quality measures. In Proceedings of 11th International Meshing Roundtable. Springer, 115--126.Google ScholarGoogle Scholar
  80. J. R. Shewchuk. 2003. Updating and constructing constrained Delaunay and constrained regular triangulations by flips. In Proceedings of the 19th Annual Symposium on Computational Geometry. ACM, 86--95. Google ScholarGoogle ScholarDigital LibraryDigital Library
  81. J. R. Shewchuk. 2008. General-dimensional constrained Delaunay and constrained regular triangulations, I: Combinatorial properties. Disc. Computat. Geom. 39, 580--637. Google ScholarGoogle ScholarDigital LibraryDigital Library
  82. J. R. Shewchuk and H. Si. 2014. Higher-quality tetrahedral mesh generation for domains with small angles by constrained Delaunay refinement. In Proceedings of the 30th Annual Symposium on Computational Geometry. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  83. H. Si. 2008. Three dimensional boundary conforming Delaunay mesh generation. Ph.D. Dissertation, Institut für Mathematik, Technische Universität Berlin, Strasse des 17. Juni 136, D-10623, Berlin, Germany. http://opus.kobv.de/tuberlin/volltexte/2008/1966/.Google ScholarGoogle Scholar
  84. H. Si. 2009. An analysis of Shewchuk's Delaunay refinement algorithm. In Proceedings of the 18th International Meshing Roundtable. Springer, UT, 499--517.Google ScholarGoogle ScholarCross RefCross Ref
  85. H. Si. 2010. Constrained Delaunay tetrahedral mesh generation and refinement. Finite Elem. Anal. Des. 46, 1, 33--46. Google ScholarGoogle ScholarDigital LibraryDigital Library
  86. H. Si. 2013. TetGen, A quality tetrahedral mesh generator and a 3D Delaunay triangulator, version 1.5, user's manual. Tech. Rep. 13. Weierstrass Institute for Applied Analysis and Stochastics (WIAS).Google ScholarGoogle Scholar
  87. H. Si, J. Fuhrmann, and K. Gärtner. 2010. Boundary conforming Delaunay mesh generation. Comput. Math. Math. Phys. 50, 1, 38--53.Google ScholarGoogle ScholarCross RefCross Ref
  88. H. Si and K. Gärtner. 2005. Meshing piecewise linear complexes by constrained Delaunay tetrahedralizations. In Proceedings of the 14th International Meshing Roundtable. Springer, CA, 147--163.Google ScholarGoogle Scholar
  89. H. Si and K. Gärtner. 2011. 3D Boundary recovery by constrained Delaunay tetrahedralization. Int. J. Numer. Methods Eng. 85, 1341--1364.Google ScholarGoogle ScholarCross RefCross Ref
  90. H. Si and J. R. Shewchuk. 2014. Incrementally constructing and updating constrained Delaunay tetrahedralizations with finite-precision coordinates. Eng. Comput. 30, 2, 253--269.Google ScholarGoogle ScholarDigital LibraryDigital Library
  91. TetMesh-GHS3D. 2010. A powerful isotropic tet-mesher, Version 4.2. http://www-roc.inria.fr/gamma/gamma/ghs3d/ghs.php.Google ScholarGoogle Scholar
  92. J. F. Thompson, B. K. Soni, and N. P. Weatherill (Eds.). 1999. Handbook of Grid Generation. CRC Press, Boca Raton, FL.Google ScholarGoogle Scholar
  93. D. F. Watson. 1987. Computing the n-dimensional Delaunay tessellations with application to Voronoi polytopes. Comput. J. 24, 2, 167--172.Google ScholarGoogle ScholarCross RefCross Ref
  94. N. P. Weatherill and O. Hassan. 1994. Efficient three-dimensional Delaunay triangulation with automatic point creation and imposed boundary constraints. Internat. J. Numer. Methods Eng. 37, 2005--2039.Google ScholarGoogle ScholarCross RefCross Ref
  95. C.-K. Yap. 1997. Towards exact geometric computation. Comput. Geom. 7, 1, 3--23. Google ScholarGoogle ScholarDigital LibraryDigital Library

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          cover image ACM Transactions on Mathematical Software
          ACM Transactions on Mathematical Software  Volume 41, Issue 2
          January 2015
          173 pages
          ISSN:0098-3500
          EISSN:1557-7295
          DOI:10.1145/2732672
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          Publication History

          • Published: 4 February 2015
          • Accepted: 1 May 2014
          • Revised: 1 December 2013
          • Received: 1 March 2013
          Published in toms Volume 41, Issue 2

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