src/RENUMBER_Swig/UsersGuideExamplesTest.py

   1 #  -*- coding: iso-8859-1 -*-
   2 # Copyright (C) 2007-2016  CEA/DEN, EDF R&D
   3 #
   4 # This library is free software; you can redistribute it and/or
   5 # modify it under the terms of the GNU Lesser General Public
   6 # License as published by the Free Software Foundation; either
   7 # version 2.1 of the License, or (at your option) any later version.
   8 #
   9 # This library is distributed in the hope that it will be useful,
  10 # but WITHOUT ANY WARRANTY; without even the implied warranty of
  11 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
  12 # Lesser General Public License for more details.
  13 #
  14 # You should have received a copy of the GNU Lesser General Public
  15 # License along with this library; if not, write to the Free Software
  16 # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307 USA
  17 #
  18 # See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
  19 #
  20
  21 from MEDCoupling import *
  22 from math import pi, sqrt
  23
  24 import MEDCoupling
  25
  26 from MEDCouplingDataForTest import MEDCouplingDataForTest
  27 m=MEDCouplingDataForTest.build2DTargetMesh_1();
  28 #! [UG_Optimization_0]
  29 from MEDRenumber import RenumberingFactory
  30 ren=RenumberingFactory("BOOST")
  31 a,b=m.computeNeighborsOfCells()
  32 n2o,_=ren.renumber(a,b)
  33 mrenum=m[n2o]
  34 #! [UG_Optimization_0]
  35
  36 #! [UG_Optimization_1]
  37 from MEDCoupling import MEDCouplingSkyLineArray
  38 import MEDPartitioner
  39 # prepare a MEDPartitioner
  40 a,b=m.computeNeighborsOfCells()
  41 sk=MEDCouplingSkyLineArray(b,a)
  42 g=MEDPartitioner.MEDPartitioner.Graph(sk)
  43 # compute partitioning into 4 parts
  44 g.partGraph(4)
  45 # get the 1st of parts of m
  46 procIdOnCells=g.getPartition().getValuesArray()
  47 p0=procIdOnCells.findIdsEqual(0)
  48 part0=m[p0]
  49 #! [UG_Optimization_1]
  50 #! [UG_Optimization_2]
  51 boundary_nodes_part0=part0.findBoundaryNodes()
  52 boundary_cells_part0=p0[part0.getCellIdsLyingOnNodes(boundary_nodes_part0,False)]
  53 # starting from knowledge of neighborhood it s possible to know the neighbors of boundary_cells_part0
  54 neighbors_boundary_cells_part0=MEDCouplingUMesh.ExtractFromIndexedArrays(boundary_cells_part0,a,b)[0]
  55 neighbors_boundary_cells_part0.sort()
  56 neighbors_boundary_cells_part0=neighbors_boundary_cells_part0.buildUnique()
  57 #
  58 layer_of_part0=neighbors_boundary_cells_part0.buildSubstraction(p0)
  59 #
  60 whole_part_with_layer=DataArrayInt.Aggregate([p0,layer_of_part0])
  61 whole_part_with_layer.sort()
  62 part0_with_layer=m[whole_part_with_layer]
  63 #! [UG_Optimization_2]
  64