src/RENUMBER_Swig/UsersGuideExamplesTest.py

   1 #  -*- coding: iso-8859-1 -*-
   2 # Copyright (C) 2007-2019  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 import sys
  22
  23 if sys.platform == "win32":
  24     from MEDCouplingCompat import *
  25 else:
  26     from MEDCoupling import *
  27
  28 from math import pi, sqrt
  29
  30 if sys.platform == "win32":
  31     import MEDCouplingCompat as MEDCoupling
  32 else:
  33     import MEDCoupling
  34
  35 from MEDCouplingDataForTest import MEDCouplingDataForTest
  36 m=MEDCouplingDataForTest.build2DTargetMesh_1();
  37 #! [UG_Optimization_0]
  38 from MEDRenumber import RenumberingFactory
  39 ren=RenumberingFactory("BOOST")
  40 a,b=m.computeNeighborsOfCells()
  41 n2o,_=ren.renumber(a,b)
  42 mrenum=m[n2o]
  43 #! [UG_Optimization_0]
  44
  45 #! [UG_Optimization_1]
  46 import MEDPartitioner
  47 # prepare a MEDPartitioner
  48 a,b=m.computeNeighborsOfCells()
  49 sk=MEDCouplingSkyLineArray(b,a)
  50 g=MEDPartitioner.MEDPartitioner.Graph(sk)
  51 # compute partitioning into 4 parts
  52 g.partGraph(4)
  53 # get the 1st of parts of m
  54 procIdOnCells=g.getPartition().getValuesArray()
  55 p0=procIdOnCells.findIdsEqual(0)
  56 part0=m[p0]
  57 #! [UG_Optimization_1]
  58 #! [UG_Optimization_2]
  59 boundary_nodes_part0=part0.findBoundaryNodes()
  60 boundary_cells_part0=p0[part0.getCellIdsLyingOnNodes(boundary_nodes_part0,False)]
  61 # starting from knowledge of neighborhood it s possible to know the neighbors of boundary_cells_part0
  62 neighbors_boundary_cells_part0=MEDCouplingUMesh.ExtractFromIndexedArrays(boundary_cells_part0,a,b)[0]
  63 neighbors_boundary_cells_part0.sort()
  64 neighbors_boundary_cells_part0=neighbors_boundary_cells_part0.buildUnique()
  65 #
  66 layer_of_part0=neighbors_boundary_cells_part0.buildSubstraction(p0)
  67 #
  68 whole_part_with_layer=DataArrayInt.Aggregate([p0,layer_of_part0])
  69 whole_part_with_layer.sort()
  70 part0_with_layer=m[whole_part_with_layer]
  71 #! [UG_Optimization_2]
  72