# -*- coding: iso-8859-1 -*-
-# Copyright (C) 2007-2013 CEA/DEN, EDF R&D
+# Copyright (C) 2007-2014 CEA/DEN, EDF R&D
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
-# version 2.1 of the License.
+# version 2.1 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
#
-from MEDCouplingRemapper import *
from MEDCouplingDataForTest import MEDCouplingDataForTest
+from MEDCouplingRemapper import *
from math import *
import unittest
f.setTime(5.6,7,8)
f.setName("toto") ; f.setDescription("aDescription")
p=MEDCouplingRemapper()
- p.setP1P0BaryMethod(True)
+ p.setIntersectionType(Barycentric)
p.prepare(um,um,"P1P0")
fNode=p.reverseTransferField(f,1e300)
self.assertEqual("toto",fNode.getName())
arrExpected2=DataArrayDouble([0.,1.,1.,1.,1.,1.,0.,0.,0.,0.,0.,0.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,1.,0.,1.,0.,1.,1.,1.,0.,1.,1.,1.,1.,0.,1.,1.,1.,0.,1.]) ; arrExpected2.setInfoOnComponents(["DOMA"])
self.assertTrue(src.getArray().isEqual(arrExpected2,1e-12))
pass
+
+ def testSwig2MixOfUMesh(self):
+ arr0=DataArrayDouble([0,1,1.5]) ; arr1=DataArrayDouble([0,1])
+ sc=MEDCouplingCMesh() ; sc.setCoords(arr0,arr1,arr1)
+ tc=sc.deepCpy() ; tc.translate([0.4,0.3,0.3])
+ # umesh-umesh
+ # 90 (umesh-1sgtumesh)
+ rem=MEDCouplingRemapper() ; rem.setIntersectionType(Triangulation)
+ s=sc.buildUnstructured() ; t=tc.build1SGTUnstructured()
+ self.assertTrue(isinstance(s,MEDCouplingUMesh))
+ self.assertTrue(isinstance(t,MEDCoupling1SGTUMesh))
+ rem.prepare(s,t,"P0P0")
+ mat=rem.getCrudeMatrix()
+ self.assertEqual(2,len(mat)) ; self.assertEqual(2,len(mat[0])) ; self.assertEqual(1,len(mat[1]))
+ self.assertAlmostEqual(0.294,mat[0][0],14) ; self.assertAlmostEqual(0.196,mat[0][1],14) ; self.assertAlmostEqual(0.049,mat[1][1],14)
+ del s,t
+ # 91 (umesh-1dgtumesh)
+ rem=MEDCouplingRemapper() ; rem.setIntersectionType(Triangulation)
+ s=sc.buildUnstructured() ; t=tc.buildUnstructured() ; t.convertAllToPoly() ; t=MEDCoupling1DGTUMesh(t)
+ self.assertTrue(isinstance(s,MEDCouplingUMesh))
+ self.assertTrue(isinstance(t,MEDCoupling1DGTUMesh))
+ rem.prepare(s,t,"P0P0")
+ mat=rem.getCrudeMatrix()
+ self.assertEqual(2,len(mat)) ; self.assertEqual(2,len(mat[0])) ; self.assertEqual(1,len(mat[1]))
+ self.assertAlmostEqual(0.294,mat[0][0],14) ; self.assertAlmostEqual(0.196,mat[0][1],14) ; self.assertAlmostEqual(0.049,mat[1][1],14)
+ del s,t
+ # 165 (1sgtumesh-umesh)
+ rem=MEDCouplingRemapper() ; rem.setIntersectionType(Triangulation)
+ s=sc.build1SGTUnstructured() ; t=tc.buildUnstructured()
+ self.assertTrue(isinstance(s,MEDCoupling1SGTUMesh))
+ self.assertTrue(isinstance(t,MEDCouplingUMesh))
+ rem.prepare(s,t,"P0P0")
+ mat=rem.getCrudeMatrix()
+ self.assertEqual(2,len(mat)) ; self.assertEqual(2,len(mat[0])) ; self.assertEqual(1,len(mat[1]))
+ self.assertAlmostEqual(0.294,mat[0][0],14) ; self.assertAlmostEqual(0.196,mat[0][1],14) ; self.assertAlmostEqual(0.049,mat[1][1],14)
+ del s,t
+ # 181 (1dgtumesh-umesh
+ rem=MEDCouplingRemapper() ; rem.setIntersectionType(Triangulation)
+ s=sc.buildUnstructured() ; s.convertAllToPoly() ; s=MEDCoupling1DGTUMesh(s) ; t=tc.buildUnstructured()
+ self.assertTrue(isinstance(s,MEDCoupling1DGTUMesh))
+ self.assertTrue(isinstance(t,MEDCouplingUMesh))
+ rem.prepare(s,t,"P0P0")
+ mat=rem.getCrudeMatrix()
+ self.assertEqual(2,len(mat)) ; self.assertEqual(2,len(mat[0])) ; self.assertEqual(1,len(mat[1]))
+ self.assertAlmostEqual(0.294,mat[0][0],14) ; self.assertAlmostEqual(0.196,mat[0][1],14) ; self.assertAlmostEqual(0.049,mat[1][1],14)
+ del s,t
+ # 170 (1sgtumesh-1sgtumesh)
+ rem=MEDCouplingRemapper() ; rem.setIntersectionType(Triangulation)
+ s=sc.build1SGTUnstructured() ; t=tc.build1SGTUnstructured()
+ self.assertTrue(isinstance(s,MEDCoupling1SGTUMesh))
+ self.assertTrue(isinstance(t,MEDCoupling1SGTUMesh))
+ rem.prepare(s,t,"P0P0")
+ mat=rem.getCrudeMatrix()
+ self.assertEqual(2,len(mat)) ; self.assertEqual(2,len(mat[0])) ; self.assertEqual(1,len(mat[1]))
+ self.assertAlmostEqual(0.294,mat[0][0],14) ; self.assertAlmostEqual(0.196,mat[0][1],14) ; self.assertAlmostEqual(0.049,mat[1][1],14)
+ del s,t
+ # 171 (1sgtumesh-1dgtumesh)
+ rem=MEDCouplingRemapper() ; rem.setIntersectionType(Triangulation)
+ s=sc.build1SGTUnstructured() ; t=tc.buildUnstructured() ; t.convertAllToPoly() ; t=MEDCoupling1DGTUMesh(t)
+ self.assertTrue(isinstance(s,MEDCoupling1SGTUMesh))
+ self.assertTrue(isinstance(t,MEDCoupling1DGTUMesh))
+ rem.prepare(s,t,"P0P0")
+ mat=rem.getCrudeMatrix()
+ self.assertEqual(2,len(mat)) ; self.assertEqual(2,len(mat[0])) ; self.assertEqual(1,len(mat[1]))
+ self.assertAlmostEqual(0.294,mat[0][0],14) ; self.assertAlmostEqual(0.196,mat[0][1],14) ; self.assertAlmostEqual(0.049,mat[1][1],14)
+ del s,t
+ # 186 (1dgtumesh-1sgtumesh)
+ rem=MEDCouplingRemapper() ; rem.setIntersectionType(Triangulation)
+ s=sc.buildUnstructured() ; s.convertAllToPoly() ; s=MEDCoupling1DGTUMesh(s) ; t=tc.build1SGTUnstructured()
+ self.assertTrue(isinstance(s,MEDCoupling1DGTUMesh))
+ self.assertTrue(isinstance(t,MEDCoupling1SGTUMesh))
+ rem.prepare(s,t,"P0P0")
+ mat=rem.getCrudeMatrix()
+ self.assertEqual(2,len(mat)) ; self.assertEqual(2,len(mat[0])) ; self.assertEqual(1,len(mat[1]))
+ self.assertAlmostEqual(0.294,mat[0][0],14) ; self.assertAlmostEqual(0.196,mat[0][1],14) ; self.assertAlmostEqual(0.049,mat[1][1],14)
+ del s,t
+ # 187 (1dgtumesh-1dgtumesh)
+ rem=MEDCouplingRemapper() ; rem.setIntersectionType(Triangulation)
+ s=sc.buildUnstructured() ; s.convertAllToPoly() ; s=MEDCoupling1DGTUMesh(s) ; t=tc.buildUnstructured() ; t.convertAllToPoly() ; t=MEDCoupling1DGTUMesh(t)
+ self.assertTrue(isinstance(s,MEDCoupling1DGTUMesh))
+ self.assertTrue(isinstance(t,MEDCoupling1DGTUMesh))
+ rem.prepare(s,t,"P0P0")
+ mat=rem.getCrudeMatrix()
+ self.assertEqual(2,len(mat)) ; self.assertEqual(2,len(mat[0])) ; self.assertEqual(1,len(mat[1]))
+ self.assertAlmostEqual(0.294,mat[0][0],14) ; self.assertAlmostEqual(0.196,mat[0][1],14) ; self.assertAlmostEqual(0.049,mat[1][1],14)
+ del s,t
+ # (umesh-cmesh)
+ # 167 (1sgtumesh-cmesh)
+ rem=MEDCouplingRemapper() ; rem.setIntersectionType(Triangulation)
+ s=sc.build1SGTUnstructured() ; t=tc.deepCpy()
+ self.assertTrue(isinstance(s,MEDCoupling1SGTUMesh))
+ self.assertTrue(isinstance(t,MEDCouplingCMesh))
+ rem.prepare(s,t,"P0P0")
+ mat=rem.getCrudeMatrix()
+ self.assertEqual(2,len(mat)) ; self.assertEqual(2,len(mat[0])) ; self.assertEqual(1,len(mat[1]))
+ self.assertAlmostEqual(0.294,mat[0][0],14) ; self.assertAlmostEqual(0.196,mat[0][1],14) ; self.assertAlmostEqual(0.049,mat[1][1],14)
+ del s,t
+ # 183 (1dgtumesh-cmesh)
+ #rem=MEDCouplingRemapper() ; rem.setIntersectionType(Triangulation)
+ #s=sc.buildUnstructured() ; s.convertAllToPoly() ; s=MEDCoupling1DGTUMesh(s) ; t=tc.deepCpy()
+ #self.assertTrue(isinstance(s,MEDCoupling1DGTUMesh))
+ #self.assertTrue(isinstance(t,MEDCouplingCMesh))
+ #rem.prepare(s,t,"P0P0")
+ #mat=rem.getCrudeMatrix()
+ #self.assertEqual(2,len(mat)) ; self.assertEqual(2,len(mat[0])) ; self.assertEqual(1,len(mat[1]))
+ #self.assertAlmostEqual(0.294,mat[0][0],14) ; self.assertAlmostEqual(0.196,mat[0][1],14) ; self.assertAlmostEqual(0.049,mat[1][1],14)
+ #del s,t
+ # (cmesh-umesh)
+ # 122 (cmesh-1sgtumesh)
+ rem=MEDCouplingRemapper() ; rem.setIntersectionType(Triangulation)
+ s=sc.deepCpy() ; t=tc.build1SGTUnstructured()
+ self.assertTrue(isinstance(s,MEDCouplingCMesh))
+ self.assertTrue(isinstance(t,MEDCoupling1SGTUMesh))
+ rem.prepare(s,t,"P0P0")
+ mat=rem.getCrudeMatrix()
+ self.assertEqual(2,len(mat)) ; self.assertEqual(2,len(mat[0])) ; self.assertEqual(1,len(mat[1]))
+ self.assertAlmostEqual(0.294,mat[0][0],14) ; self.assertAlmostEqual(0.196,mat[0][1],14) ; self.assertAlmostEqual(0.049,mat[1][1],14)
+ del s,t
+ # 123 (cmesh-1dgtumesh)
+ #rem=MEDCouplingRemapper() ; rem.setIntersectionType(Triangulation)
+ #s=sc.deepCpy() ; t=tc.buildUnstructured() ; t.convertAllToPoly() ; t=MEDCoupling1DGTUMesh(t)
+ #self.assertTrue(isinstance(s,MEDCouplingCMesh))
+ #self.assertTrue(isinstance(t,MEDCoupling1DGTUMesh))
+ #rem.prepare(s,t,"P0P0")
+ #mat=rem.getCrudeMatrix()
+ #self.assertEqual(2,len(mat)) ; self.assertEqual(2,len(mat[0])) ; self.assertEqual(1,len(mat[1]))
+ #self.assertAlmostEqual(0.294,mat[0][0],14) ; self.assertAlmostEqual(0.196,mat[0][1],14) ; self.assertAlmostEqual(0.049,mat[1][1],14)
+ #del s,t
+ pass
+
+ def testSwig2BarycentricP1P13D_1(self):
+ sCoo=DataArrayDouble([0.313,0.00218,6.90489,0.313,0.10692667,6.90489,0.313,0.10692667,6.96790167,0.313,0.00218,6.9773125,0.313,0.21167333,6.90489,0.313,0.21167333,6.95849083,0.313,0.31642,6.90489,0.313,0.31642,6.94908,0.313,0.09383333,7.04891667,0.313,0.00218,7.049735,0.313,0.18548667,7.04809833,0.313,0.27714,7.04728,0.313,0.05782667,7.133205,0.313,0.00218,7.1221575,0.313,0.11347333,7.1442525,0.313,0.16912,7.1553,0.313,0.02509333,7.19458,0.313,0.00218,7.19458,0.313,0.04800667,7.19458,0.313,0.07092,7.19458,0.31005609,0.00218,6.90460005,0.31005609,0.10692667,6.90460005,0.29776312,0.10692667,6.96640097,0.29592716,0.00218,6.97563097,0.31005609,0.21167333,6.90460005,0.29959908,0.21167333,6.95717096,0.31005609,0.31642,6.90460005,0.30143505,0.31642,6.94794095,0.28195788,0.09383333,7.04585928,0.28179823,0.00218,7.04666189,0.28211753,0.18548667,7.04505668,0.28227718,0.27714,7.04425407,0.26551404,0.05782667,7.12852804,0.2676693,0.00218,7.11769282,0.26335878,0.11347333,7.13936327,0.26120352,0.16912,7.15019849,0.25354037,0.02509333,7.18872374,0.25354037,0.00218,7.18872374,0.25354037,0.04800667,7.18872374,0.25354037,0.07092,7.18872374,0.30722531,0.00218,6.90374134,0.30722531,0.10692667,6.90374134,0.28311179,0.10692667,6.96195653,0.27951042,0.00218,6.97065101,0.30722531,0.21167333,6.90374134,0.28671316,0.21167333,6.95326205,0.30722531,0.31642,6.90374134,0.29031453,0.31642,6.94456758,0.25210869,0.09383333,7.03680463,0.25179553,0.00218,7.03756067,0.25242185,0.18548667,7.03604859,0.25273501,0.27714,7.03529255,0.21985294,0.05782667,7.1146769,0.22408063,0.00218,7.10447034,0.21562524,0.11347333,7.12488346,0.21139755,0.16912,7.13509002,0.19636574,0.02509333,7.17138,0.19636574,0.00218,7.17138,0.19636574,0.04800667,7.17138,0.19636574,0.07092,7.17138,0.30461645,0.00218,6.90234688,0.30461645,0.10692667,6.90234688,0.26960904,0.10692667,6.95473916,0.26438066,0.00218,6.96256398,0.30461645,0.21167333,6.90234688,0.27483742,0.21167333,6.94691434,0.30461645,0.31642,6.90234688,0.2800658,0.31642,6.93908952,0.22459952,0.09383333,7.02210067,0.22414487,0.00218,7.02278109,0.22505416,0.18548667,7.02142025,0.2255088,0.27714,7.02073983,0.17777143,0.05782667,7.09218386,0.18390909,0.00218,7.0829982,0.17163377,0.11347333,7.10136952,0.1654961,0.16912,7.11055518,0.1436733,0.02509333,7.14321531,0.1436733,0.00218,7.14321531,0.1436733,0.04800667,7.14321531,0.1436733,0.07092,7.14321531,0.30232976,0.00218,6.90047024,0.30232976,0.10692667,6.90047024,0.25777378,0.10692667,6.94502622,0.25111932,0.00218,6.95168068,0.30232976,0.21167333,6.90047024,0.26442825,0.21167333,6.93837175,0.30232976,0.31642,6.90047024,0.27108271,0.31642,6.93171729,0.20048753,0.09383333,7.00231247,0.19990888,0.00218,7.00289112,0.20106618,0.18548667,7.00173382,0.20164482,0.27714,7.00115518,0.14088667,0.05782667,7.06191333,0.14869844,0.00218,7.05410156,0.13307491,0.11347333,7.06972509,0.12526315,0.16912,7.07753685,0.097488,0.02509333,7.105312,0.097488,0.00218,7.105312,0.097488,0.04800667,7.105312,0.097488,0.07092,7.105312,0.30045312,0.00218,6.89818355,0.30045312,0.10692667,6.89818355,0.24806084,0.10692667,6.93319096,0.24023602,0.00218,6.93841934,0.30045312,0.21167333,6.89818355,0.25588566,0.21167333,6.92796258,0.30045312,0.31642,6.89818355,0.26371048,0.31642,6.9227342,0.18069933,0.09383333,6.97820048,0.18001891,0.00218,6.97865513,0.18137975,0.18548667,6.97774584,0.18206017,0.27714,6.9772912,0.11061614,0.05782667,7.02502857,0.1198018,0.00218,7.01889091,0.10143048,0.11347333,7.03116623,0.09224482,0.16912,7.0373039,0.05958469,0.02509333,7.0591267,0.05958469,0.00218,7.0591267,0.05958469,0.04800667,7.0591267,0.05958469,0.07092,7.0591267,0.29905866,0.00218,6.89557469,0.29905866,0.10692667,6.89557469,0.24084347,0.10692667,6.91968821,0.23214899,0.00218,6.92328958,0.29905866,0.21167333,6.89557469,0.24953795,0.21167333,6.91608684,0.29905866,0.31642,6.89557469,0.25823242,0.31642,6.91248547,0.16599537,0.09383333,6.95069131,0.16523933,0.00218,6.95100447,0.16675141,0.18548667,6.95037815,0.16750745,0.27714,6.95006499,0.0881231,0.05782667,6.98294706,0.09832966,0.00218,6.97871937,0.07791654,0.11347333,6.98717476,0.06770998,0.16912,6.99140245,0.03142,0.02509333,7.00643426,0.03142,0.00218,7.00643426,0.03142,0.04800667,7.00643426,0.03142,0.07092,7.00643426,0.29819995,0.00218,6.89274391,0.29819995,0.10692667,6.89274391,0.23639903,0.10692667,6.90503688,0.22716903,0.00218,6.90687284,0.29819995,0.21167333,6.89274391,0.24562904,0.21167333,6.90320092,0.29819995,0.31642,6.89274391,0.25485905,0.31642,6.90136495,0.15694072,0.09383333,6.92084212,0.15613811,0.00218,6.92100177,0.15774332,0.18548667,6.92068247,0.15854593,0.27714,6.92052282,0.07427196,0.05782667,6.93728596,0.08510718,0.00218,6.9351307,0.06343673,0.11347333,6.93944122,0.05260151,0.16912,6.94159648,0.01407626,0.02509333,6.94925963,0.01407626,0.00218,6.94925963,0.01407626,0.04800667,6.94925963,0.01407626,0.07092,6.94925963,0.29792818,0.00218,6.89054043,0.29792818,0.10692667,6.89054043,0.23499241,0.10692667,6.89363227,0.22559291,0.00218,6.89409403,0.29792818,0.21167333,6.89054043,0.24439191,0.21167333,6.8931705,0.29792818,0.31642,6.89054043,0.25379141,0.31642,6.89270873,0.154075,0.09383333,6.89760748,0.15325765,0.00218,6.89764764,0.15489234,0.18548667,6.89756733,0.15570969,0.27714,6.89752718,0.06988819,0.05782667,6.90174332,0.08092238,0.00218,6.90120124,0.058854,0.11347333,6.90228539,0.04781981,0.16912,6.90282747,0.00858712,0.02509333,6.90475485,0.00858712,0.00218,6.90475485,0.00858712,0.04800667,6.90475485,0.00858712,0.07092,6.90475485,0.29791,0.00218,6.820902,0.29791,0.10692667,6.820902,0.23489833,0.10692667,6.820902,0.2254875,0.00218,6.820902,0.29791,0.21167333,6.820902,0.24430917,0.21167333,6.820902,0.29791,0.31642,6.820902,0.25372,0.31642,6.820902,0.15388333,0.09383333,6.820902,0.153065,0.00218,6.820902,0.15470167,0.18548667,6.820902,0.15552,0.27714,6.820902,0.069595,0.05782667,6.820902,0.0806425,0.00218,6.820902,0.0585475,0.11347333,6.820902,0.0475,0.16912,6.820902,0.00822,0.02509333,6.820902,0.00822,0.00218,6.820902,0.00822,0.04800667,6.820902,0.00822,0.07092,6.820902],200,3)
+ sConn=DataArrayInt([0,1,2,3,20,21,22,23,1,4,5,2,21,24,25,22,4,6,7,5,24,26,27,25,3,2,8,9,23,22,28,29,2,5,10,8,22,25,30,28,5,7,11,10,25,27,31,30,9,8,12,13,29,28,32,33,8,10,14,12,28,30,34,32,10,11,15,14,30,31,35,34,13,12,16,17,33,32,36,37,12,14,18,16,32,34,38,36,14,15,19,18,34,35,39,38,20,21,22,23,40,41,42,43,21,24,25,22,41,44,45,42,24,26,27,25,44,46,47,45,23,22,28,29,43,42,48,49,22,25,30,28,42,45,50,48,25,27,31,30,45,47,51,50,29,28,32,33,49,48,52,53,28,30,34,32,48,50,54,52,30,31,35,34,50,51,55,54,33,32,36,37,53,52,56,57,32,34,38,36,52,54,58,56,34,35,39,38,54,55,59,58,40,41,42,43,60,61,62,63,41,44,45,42,61,64,65,62,44,46,47,45,64,66,67,65,43,42,48,49,63,62,68,69,42,45,50,48,62,65,70,68,45,47,51,50,65,67,71,70,49,48,52,53,69,68,72,73,48,50,54,52,68,70,74,72,50,51,55,54,70,71,75,74,53,52,56,57,73,72,76,77,52,54,58,56,72,74,78,76,54,55,59,58,74,75,79,78,60,61,62,63,80,81,82,83,61,64,65,62,81,84,85,82,64,66,67,65,84,86,87,85,63,62,68,69,83,82,88,89,62,65,70,68,82,85,90,88,65,67,71,70,85,87,91,90,69,68,72,73,89,88,92,93,68,70,74,72,88,90,94,92,70,71,75,74,90,91,95,94,73,72,76,77,93,92,96,97,72,74,78,76,92,94,98,96,74,75,79,78,94,95,99,98,80,81,82,83,100,101,102,103,81,84,85,82,101,104,105,102,84,86,87,85,104,106,107,105,83,82,88,89,103,102,108,109,82,85,90,88,102,105,110,108,85,87,91,90,105,107,111,110,89,88,92,93,109,108,112,113,88,90,94,92,108,110,114,112,90,91,95,94,110,111,115,114,93,92,96,97,113,112,116,117,92,94,98,96,112,114,118,116,94,95,99,98,114,115,119,118,100,101,102,103,120,121,122,123,101,104,105,102,121,124,125,122,104,106,107,105,124,126,127,125,103,102,108,109,123,122,128,129,102,105,110,108,122,125,130,128,105,107,111,110,125,127,131,130,109,108,112,113,129,128,132,133,108,110,114,112,128,130,134,132,110,111,115,114,130,131,135,134,113,112,116,117,133,132,136,137,112,114,118,116,132,134,138,136,114,115,119,118,134,135,139,138,120,121,122,123,140,141,142,143,121,124,125,122,141,144,145,142,124,126,127,125,144,146,147,145,123,122,128,129,143,142,148,149,122,125,130,128,142,145,150,148,125,127,131,130,145,147,151,150,129,128,132,133,149,148,152,153,128,130,134,132,148,150,154,152,130,131,135,134,150,151,155,154,133,132,136,137,153,152,156,157,132,134,138,136,152,154,158,156,134,135,139,138,154,155,159,158,140,141,142,143,160,161,162,163,141,144,145,142,161,164,165,162,144,146,147,145,164,166,167,165,143,142,148,149,163,162,168,169,142,145,150,148,162,165,170,168,145,147,151,150,165,167,171,170,149,148,152,153,169,168,172,173,148,150,154,152,168,170,174,172,150,151,155,154,170,171,175,174,153,152,156,157,173,172,176,177,152,154,158,156,172,174,178,176,154,155,159,158,174,175,179,178,160,161,162,163,180,181,182,183,161,164,165,162,181,184,185,182,164,166,167,165,184,186,187,185,163,162,168,169,183,182,188,189,162,165,170,168,182,185,190,188,165,167,171,170,185,187,191,190,169,168,172,173,189,188,192,193,168,170,174,172,188,190,194,192,170,171,175,174,190,191,195,194,173,172,176,177,193,192,196,197,172,174,178,176,192,194,198,196,174,175,179,178,194,195,199,198])
+ s=MEDCoupling1SGTUMesh("target",NORM_HEXA8) ; s.setCoords(sCoo)
+ s.setNodalConnectivity(sConn)
+ #
+ tCoo=DataArrayDouble([0.328,0.012,6.8598,0.328,0.168320184237353,6.8598,0.328,0.324640368474706,6.8598,0.328,0.0,6.8598,0.298,0.012,6.8598,0.1565,0.012,6.8598,0.180205346493166,0.144794653506834,6.8598,0.298,0.168320184237353,6.8598,0.0,0.012,6.8598,0.0916755774886107,0.233324422511389,6.8598,0.298,0.324640368474706,6.8598,0.298,0.0,6.8598,0.1565,0.0,6.8598,0.0,0.0,6.8598,0.328,0.012,7.2298,0.328,0.168320184237353,7.2298,0.328,0.324640368474706,7.2298,0.328,0.0,7.2298,0.298,0.012,7.2298,0.1565,0.012,7.2298,0.180205346493166,0.144794653506834,7.2298,0.298,0.168320184237353,7.2298,0.0,0.012,7.2298,0.0916755774886107,0.233324422511389,7.2298,0.298,0.324640368474706,7.2298,0.298,0.0,7.2298,0.1565,0.0,7.2298,0.0,0.0,7.2298],28,3)
+ tConn=DataArrayInt([4,5,6,7,18,19,20,21,5,8,9,6,19,22,23,20,6,9,10,7,20,23,24,21,11,12,5,4,25,26,19,18,12,13,8,5,26,27,22,19,3,11,4,0,17,25,18,14,0,4,7,1,14,18,21,15,1,7,10,2,15,21,24,16])
+ t=MEDCoupling1SGTUMesh("target",NORM_HEXA8) ; t.setCoords(tCoo)
+ t.setNodalConnectivity(tConn)
+ #
+ s.simplexize(PLANAR_FACE_5)
+ aRemapper=MEDCouplingRemapper()
+ aRemapper.setPrecision(1e-12)
+ aRemapper.setIntersectionType(Barycentric)
+ self.assertEqual(aRemapper.prepare(s,t,'P1P1'),1)
+ m=aRemapper.getCrudeMatrix()
+ self.assertEqual(len(m),28)
+ for i in xrange(28):
+ if i not in [5,6]:
+ self.assertEqual(len(m[i]),0)
+ pass
+ pass
+ self.assertEqual(len(m[5]),4)
+ self.assertEqual(len(m[6]),4)
+ self.assertAlmostEqual(0.10714286103952797,m[5][168],12)
+ self.assertAlmostEqual(0.35691534416938014,m[5][169],12)
+ self.assertAlmostEqual(0.04492099619713096,m[5][163],12)
+ self.assertAlmostEqual(0.49102079859396097,m[5][189],12)
+ self.assertAlmostEqual(0.14039089397104254,m[6][185],12)
+ self.assertAlmostEqual(0.16362822318261033,m[6][162],12)
+ self.assertAlmostEqual(0.3438363717836785 ,m[6][188],12)
+ self.assertAlmostEqual(0.3521445110626687 ,m[6][170],12)
+ pass
+
+ @unittest.skipUnless(MEDCouplingHasNumPyBindings() and MEDCouplingHasSciPyBindings(),"requires numpy AND scipy")
+ def testGetCrudeCSRMatrix1(self):
+ """ testing CSR matrix output using numpy/scipy.
+ """
+ from scipy.sparse import spdiags #diags
+ import scipy
+ from numpy import array
+ arr=DataArrayDouble(3) ; arr.iota()
+ m=MEDCouplingCMesh() ; m.setCoords(arr,arr)
+ src=m.buildUnstructured()
+ trg=src.deepCpy() ; trg=trg[[0,1,3]]
+ trg.getCoords()[:]*=0.5 ; trg.getCoords()[:]+=[0.3,0.25]
+ # Let's interpolate.
+ rem=MEDCouplingRemapper()
+ rem.prepare(src,trg,"P0P0")
+ # Internal crude sparse matrix computed. Let's manipulate it using CSR matrix in scipy.
+ for i in xrange(10):
+ m=rem.getCrudeCSRMatrix()
+ pass
+ m2=rem.getCrudeCSRMatrix()
+ diff=m-m2
+ self.assertTrue(isinstance(m,scipy.sparse.csr.csr_matrix))
+ self.assertEqual(m.getnnz(),7)
+ self.assertAlmostEqual(m[0,0],0.25,12)
+ self.assertAlmostEqual(m[1,0],0.1,12)
+ self.assertAlmostEqual(m[1,1],0.15,12)
+ self.assertAlmostEqual(m[2,0],0.05,12)
+ self.assertAlmostEqual(m[2,1],0.075,12)
+ self.assertAlmostEqual(m[2,2],0.05,12)
+ self.assertAlmostEqual(m[2,3],0.075,12)
+ self.assertEqual(diff.getnnz(),0)
+ # IntegralGlobConstraint (division by sum of cols)
+ colSum=m.sum(axis=0)
+ # version 0.12.0 # m_0=m*diags(array(1/colSum),[0])
+ m_0=m*spdiags(array(1/colSum),[0],colSum.shape[1],colSum.shape[1])
+ del colSum
+ self.assertAlmostEqual(m_0[0,0],0.625,12)
+ self.assertAlmostEqual(m_0[1,0],0.25,12)
+ self.assertAlmostEqual(m_0[1,1],0.6666666666666667,12)
+ self.assertAlmostEqual(m_0[2,0],0.125,12)
+ self.assertAlmostEqual(m_0[2,1],0.3333333333333333,12)
+ self.assertAlmostEqual(m_0[2,2],1.,12)
+ self.assertAlmostEqual(m_0[2,3],1.,12)
+ self.assertEqual(m_0.getnnz(),7)
+ # ConservativeVolumic (division by sum of rows)
+ rowSum=m.sum(axis=1)
+ # version 0.12.0 # m_1=diags(array(1/rowSum.transpose()),[0])*m
+ m_1=spdiags(array(1/rowSum.transpose()),[0],rowSum.shape[0],rowSum.shape[0])*m
+ del rowSum
+ self.assertAlmostEqual(m_1[0,0],1.,12)
+ self.assertAlmostEqual(m_1[1,0],0.4,12)
+ self.assertAlmostEqual(m_1[1,1],0.6,12)
+ self.assertAlmostEqual(m_1[2,0],0.2,12)
+ self.assertAlmostEqual(m_1[2,1],0.3,12)
+ self.assertAlmostEqual(m_1[2,2],0.2,12)
+ self.assertAlmostEqual(m_1[2,3],0.3,12)
+ self.assertEqual(m_1.getnnz(),7)
+ pass
+
+ @unittest.skipUnless(MEDCouplingHasNumPyBindings() and MEDCouplingHasSciPyBindings(),"requires numpy AND scipy")
+ def testP0P1Bary_1(self):
+ a=MEDCouplingUMesh("a",2)
+ a.allocateCells()
+ conna=[0,1,3,2,1,4,5,3,4,6,7,5,6,8,9,7,8,10,11,9,10,12,13,11,12,14,15,13,14,16,17,15,16,18,19,17,18,20,21,19,20,22,23,21,22,24,25,23,24,26,27,25]
+ a.setCoords(DataArrayDouble([1.54,0,-0.01,1.54,0.02,-0.01,1.54,0,0.01,1.54,0.02,0.01,1.54,0.04,-0.01,1.54,0.04,0.01,1.54,0.06,-0.01,1.54,0.06,0.01,1.54,0.08,-0.01,1.54,0.08,0.01,1.54,0.1,-0.01,1.54,0.1,0.01,1.54,0.12,-0.01,1.54,0.12,0.01,1.54,0.14,-0.01,1.54,0.14,0.01,1.54,0.16,-0.01,1.54,0.16,0.01,1.54,0.18,-0.01,1.54,0.18,0.01,1.54,0.2,-0.01,1.54,0.2,0.01,1.54,0.22,-0.01,1.54,0.22,0.01,1.54,0.24,-0.01,1.54,0.24,0.01,1.54,0.26,-0.01,1.54,0.26,0.01],28,3))
+ for i in xrange(13):
+ a.insertNextCell(NORM_QUAD4,conna[4*i:4*(i+1)])
+ pass
+ a.finishInsertingCells() ; a.simplexize(0)
+ #
+ connb=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,0,2,39,3,5,40,6,8,41,9,11,42,12,14,43,15,17,44,18,20,45,21,23,46,24,26,47,27,29,48,30,32,49,33,35,50,36,38,51,52,2,39,53,5,40,54,8,41,55,11,42,56,14,43,57,17,44,58,20,45,59,23,46,60,26,47,61,29,48,62,32,49,63,35,50,64,38,51,52,2,65,53,5,66,54,8,67,55,11,68,56,14,69,57,17,70,58,20,71,59,23,72,60,26,73,61,29,74,62,32,75,63,35,76,64,38,77,53,2,65,54,5,66,55,8,67,56,11,68,57,14,69,58,17,70,59,20,71,60,23,72,61,26,73,62,29,74,63,32,75,64,35,76,78,38,77,53,2,40,54,5,41,55,8,42,56,11,43,57,14,44,58,17,45,59,20,46,60,23,47,61,26,48,62,29,49,63,32,50,64,35,51,78,38,79,3,2,40,6,5,41,9,8,42,12,11,43,15,14,44,18,17,45,21,20,46,24,23,47,27,26,48,30,29,49,33,32,50,36,35,51,80,38,79,3,2,1,6,5,4,9,8,7,12,11,10,15,14,13,18,17,16,21,20,19,24,23,22,27,26,25,30,29,28,33,32,31,36,35,34,80,38,37]
+ b=MEDCouplingUMesh("b",2)
+ b.allocateCells()
+ for i in xrange(104):
+ b.insertNextCell(NORM_TRI3,connb[3*i:3*(i+1)])
+ pass
+ b.setCoords(DataArrayDouble([1.54,0,-0.01,1.54,0.01,-0.01,1.54,0.01,0,1.54,0.02,-0.01,1.54,0.03,-0.01,1.54,0.03,0,1.54,0.04,-0.01,1.54,0.05,-0.01,1.54,0.05,0,1.54,0.06,-0.01,1.54,0.07,-0.01,1.54,0.07,0,1.54,0.08,-0.01,1.54,0.09,-0.01,1.54,0.09,0,1.54,0.1,-0.01,1.54,0.11,-0.01,1.54,0.11,0,1.54,0.12,-0.01,1.54,0.13,-0.01,1.54,0.13,0,1.54,0.14,-0.01,1.54,0.15,-0.01,1.54,0.15,0,1.54,0.16,-0.01,1.54,0.17,-0.01,1.54,0.17,0,1.54,0.18,-0.01,1.54,0.19,-0.01,1.54,0.19,0,1.54,0.2,-0.01,1.54,0.21,-0.01,1.54,0.21,0,1.54,0.22,-0.01,1.54,0.23,-0.01,1.54,0.23,0,1.54,0.24,-0.01,1.54,0.25,-0.01,1.54,0.25,0,1.54,0,0,1.54,0.02,0,1.54,0.04,0,1.54,0.06,0,1.54,0.08,0,1.54,0.1,0,1.54,0.12,0,1.54,0.14,0,1.54,0.16,0,1.54,0.18,0,1.54,0.2,0,1.54,0.22,0,1.54,0.24,0,1.54,0,0.01,1.54,0.02,0.01,1.54,0.04,0.01,1.54,0.06,0.01,1.54,0.08,0.01,1.54,0.1,0.01,1.54,0.12,0.01,1.54,0.14,0.01,1.54,0.16,0.01,1.54,0.18,0.01,1.54,0.2,0.01,1.54,0.22,0.01,1.54,0.24,0.01,1.54,0.01,0.01,1.54,0.03,0.01,1.54,0.05,0.01,1.54,0.07,0.01,1.54,0.09,0.01,1.54,0.11,0.01,1.54,0.13,0.01,1.54,0.15,0.01,1.54,0.17,0.01,1.54,0.19,0.01,1.54,0.21,0.01,1.54,0.23,0.01,1.54,0.25,0.01,1.54,0.26,0.01,1.54,0.26,0,1.54,0.26,-0.01],81,3))
+ #
+ rem=MEDCouplingRemapper() ; rem.setIntersectionType(Barycentric)
+ rem.prepare(a,b,"P1P0")
+ m0=rem.getCrudeCSRMatrix()
+ self.assertEqual(m0.nnz,312)
+ #
+ ids=4*[None] ; vs=4*[None]
+ ids[0]=DataArrayInt([0,3,6,9,12,15,18,21,24,27,30,33,36,39,42,45,48,51,54,57,60,63,66,69,72,75,158,161,164,167,170,173,176,179,182,185,188,191,194,197,200,203,206,209,212,215,218,221,224,227,230,233]) ; vs[0]=10./3.
+ ids[1]=DataArrayInt([1,2,4,5,7,8,10,11,13,14,16,17,19,20,22,23,25,26,28,29,31,32,34,35,37,38,40,41,43,44,46,47,49,50,52,53,55,56,58,59,61,62,64,65,67,68,70,71,73,74,76,77,80,83,86,89,92,95,98,101,104,107,110,113,116,117,120,123,126,129,132,135,138,141,144,147,150,153,156,157,159,160,162,163,165,166,168,169,171,172,174,175,177,178,180,181,183,184,186,187,189,190,192,193,195,196,198,199,201,202,204,205,207,208,210,211,213,214,216,217,219,220,222,223,225,226,228,229,231,232,234,237,240,243,246,249,252,255,258,261,264,267,270,275,278,281,284,287,290,293,296,299,302,305,308,311]) ; vs[1]=5./6.
+ ids[2]=DataArrayInt([78,81,84,87,90,93,96,99,102,105,108,111,114,119,122,125,128,131,134,137,140,143,146,149,152,155,236,239,242,245,248,251,254,257,260,263,266,269,272,273,276,279,282,285,288,291,294,297,300,303,306,309]) ; vs[2]=5./3.
+ ids[3]=DataArrayInt([79,82,85,88,91,94,97,100,103,106,109,112,115,118,121,124,127,130,133,136,139,142,145,148,151,154,235,238,241,244,247,250,253,256,259,262,265,268,271,274,277,280,283,286,289,292,295,298,301,304,307,310]) ; vs[3]=2.5
+ vals=DataArrayDouble(312,1)
+ for idd,v in zip(ids,vs):
+ vals[idd]=v
+ pass
+ vals*=1e-5
+ eps0=DataArrayDouble(m0.data)-vals ; eps0.abs()
+ self.assertTrue(eps0.getIdsInRange(1e-17,1e300).empty())
+ self.assertTrue(DataArrayInt(m0.indices).isEqual(DataArrayInt([0,1,3,1,4,5,4,6,7,6,8,9,8,10,11,10,12,13,12,14,15,14,16,17,16,18,19,18,20,21,20,22,23,22,24,25,24,26,27,0,2,3,1,3,5,4,5,7,6,7,9,8,9,11,10,11,13,12,13,15,14,15,17,16,17,19,18,19,21,20,21,23,22,23,25,24,25,27,0,2,3,1,3,5,4,5,7,6,7,9,8,9,11,10,11,13,12,13,15,14,15,17,16,17,19,18,19,21,20,21,23,22,23,25,24,25,27,0,2,3,1,3,5,4,5,7,6,7,9,8,9,11,10,11,13,12,13,15,14,15,17,16,17,19,18,19,21,20,21,23,22,23,25,24,25,27,0,2,3,1,3,5,4,5,7,6,7,9,8,9,11,10,11,13,12,13,15,14,15,17,16,17,19,18,19,21,20,21,23,22,23,25,24,25,27,0,1,3,1,4,5,4,6,7,6,8,9,8,10,11,10,12,13,12,14,15,14,16,17,16,18,19,18,20,21,20,22,23,22,24,25,24,26,27,0,1,3,1,4,5,4,6,7,6,8,9,8,10,11,10,12,13,12,14,15,14,16,17,16,18,19,18,20,21,20,22,23,22,24,25,24,26,27,0,1,3,1,4,5,4,6,7,6,8,9,8,10,11,10,12,13,12,14,15,14,16,17,16,18,19,18,20,21,20,22,23,22,24,25,24,26,27])))
+ self.assertTrue(DataArrayInt(m0.indptr).isEqual(DataArrayInt([0,3,6,9,12,15,18,21,24,27,30,33,36,39,42,45,48,51,54,57,60,63,66,69,72,75,78,81,84,87,90,93,96,99,102,105,108,111,114,117,120,123,126,129,132,135,138,141,144,147,150,153,156,159,162,165,168,171,174,177,180,183,186,189,192,195,198,201,204,207,210,213,216,219,222,225,228,231,234,237,240,243,246,249,252,255,258,261,264,267,270,273,276,279,282,285,288,291,294,297,300,303,306,309,312])))
+ #
+ rem2=MEDCouplingRemapper() ; rem2.setIntersectionType(Barycentric)
+ rem2.prepare(b,a,"P0P1")
+ m1=rem2.getCrudeCSRMatrix()
+ self.assertEqual(m1.nnz,312)
+ #
+ m1=rem2.getCrudeCSRMatrix()
+ m1t=m1.transpose()
+ delta=m0-m1t
+ self.assertTrue(DataArrayDouble(delta.data).isUniform(0.,1e-17))
+ pass
+
+ @unittest.skipUnless(MEDCouplingHasNumPyBindings() and MEDCouplingHasSciPyBindings(),"requires numpy AND scipy")
+ def testNonConformWithRemapper_1(self):
+ coo=DataArrayDouble([-0.396700000780411,-0.134843245350081,-0.0361311386958691,-0.407550009429364,-0.13484324535008,-0.0361311386958923,-0.396700000780411,-0.132191446077668,-0.0448729493559049,-0.407550009429364,-0.132191446077666,-0.0448729493559254,-0.396700000780411,-0.128973582738749,-0.0534226071577727,-0.407550009429364,-0.128973582738747,-0.0534226071577904,-0.396700000780411,-0.128348829636458,-0.0346583696473619,-0.407550009429364,-0.128348829636457,-0.0346583696473822,-0.396700000780411,-0.125874740261886,-0.0430683597970123,-0.407550009429364,-0.125874740261885,-0.0430683597970302,-0.396700000780411,-0.122905344829122,-0.051310216195766,-0.407550009429364,-0.12290534482912,-0.0513102161957814],12,3)
+ conn=DataArrayInt([2,9,3,11,2,3,5,11,2,8,9,11,2,10,8,11,2,5,4,11,2,4,10,11,3,0,1,6,3,1,7,6,3,2,0,6,3,8,2,6,3,7,9,6,3,9,8,6])
+ m=MEDCoupling1SGTUMesh("mesh",NORM_TETRA4)
+ m.setNodalConnectivity(conn)
+ m.setCoords(coo)
+ # m is ready
+ m1,d,di,rd,rdi=m.buildUnstructured().buildDescendingConnectivity()
+ rdi2=rdi.deltaShiftIndex()
+ cellIds=rdi2.getIdsEqual(1)
+ skinAndNonConformCells=m1[cellIds]
+ skinAndNonConformCells.zipCoords() # at this point skinAndNonConformCells contains non conform cells and skin cells. Now trying to split them in two parts.
+ #
+ rem=MEDCouplingRemapper()
+ rem.setMaxDistance3DSurfIntersect(1e-12)
+ rem.setMinDotBtwPlane3DSurfIntersect(0.99)# this line is important it is to tell to remapper to select only cells with very close orientation
+ rem.prepare(skinAndNonConformCells,skinAndNonConformCells,"P0P0")
+ mat=rem.getCrudeCSRMatrix()
+ indptr=DataArrayInt(mat.indptr)
+ indptr2=indptr.deltaShiftIndex()
+ cellIdsOfNonConformCells=indptr2.getIdsNotEqual(1)
+ cellIdsOfSkin=indptr2.getIdsEqual(1)
+ self.assertTrue(cellIdsOfSkin.isEqual(DataArrayInt([1,2,3,5,6,7,8,9,10,11,12,13,14,15,16,17,19,20,21,23])))
+ self.assertTrue(cellIdsOfNonConformCells.isEqual(DataArrayInt([0,4,18,22])))
+ pass
+
+ def test3D1DOnP1P0_1(self):
+ """ This test focused on P1P0 interpolation with a source with meshDim=1 spaceDim=3 and a target with meshDim=3.
+ This test has revealed a bug in remapper. A reverse matrix is computed so a reverse method should be given in input.
+ """
+ target=MEDCouplingCMesh()
+ arrX=DataArrayDouble([0,1]) ; arrY=DataArrayDouble([0,1]) ; arrZ=DataArrayDouble(11) ; arrZ.iota()
+ target.setCoords(arrX,arrY,arrZ)
+ target=target.buildUnstructured() ; target.setName("TargetSecondaire")
+ #
+ sourceCoo=DataArrayDouble([(0.5,0.5,0.1),(0.5,0.5,1.2),(0.5,0.5,1.6),(0.5,0.5,1.8),(0.5,0.5,2.43),(0.5,0.5,2.55),(0.5,0.5,4.1),(0.5,0.5,4.4),(0.5,0.5,4.9),(0.5,0.5,5.1),(0.5,0.5,7.6),(0.5,0.5,7.7),(0.5,0.5,8.2),(0.5,0.5,8.4),(0.5,0.5,8.6),(0.5,0.5,8.8),(0.5,0.5,9.2),(0.5,0.5,9.6),(0.5,0.5,11.5)])
+ source=MEDCoupling1SGTUMesh("SourcePrimaire",NORM_SEG2)
+ source.setCoords(sourceCoo)
+ source.allocateCells()
+ for i in xrange(len(sourceCoo)-1):
+ source.insertNextCell([i,i+1])
+ pass
+ source=source.buildUnstructured()
+ fsource=MEDCouplingFieldDouble(ON_NODES) ; fsource.setName("field")
+ fsource.setMesh(source)
+ arr=DataArrayDouble(len(sourceCoo)) ; arr.iota(0.7) ; arr*=arr
+ fsource.setArray(arr)
+ fsource.setNature(ConservativeVolumic)
+ #
+ rem=MEDCouplingRemapper()
+ rem.setIntersectionType(PointLocator)
+ rem.prepare(source,target,"P1P0")
+ f2Test=rem.transferField(fsource,-27)
+ self.assertEqual(f2Test.getName(),fsource.getName())
+ self.assertEqual(f2Test.getMesh().getHiddenCppPointer(),target.getHiddenCppPointer())
+ expArr=DataArrayDouble([0.49,7.956666666666667,27.29,-27,59.95666666666667,94.09,-27,125.69,202.89,296.09])
+ self.assertTrue(f2Test.getArray().isEqual(expArr,1e-12))
+ f2Test=rem.reverseTransferField(f2Test,-36)
+ self.assertEqual(f2Test.getName(),fsource.getName())
+ self.assertEqual(f2Test.getMesh().getHiddenCppPointer(),source.getHiddenCppPointer())
+ expArr2=DataArrayDouble([0.49,7.956666666666667,7.956666666666667,7.956666666666667,27.29,27.29,59.95666666666667,59.95666666666667,59.95666666666667,94.09,125.69,125.69,202.89,202.89,202.89,202.89,296.09,296.09,-36.])
+ self.assertTrue(f2Test.getArray().isEqual(expArr2,1e-12))
+ pass
+
+ def testRemapperAMR1(self):
+ """ This test is the origin of the ref values for MEDCouplingBasicsTest.testAMR2"""
+ coarse=DataArrayDouble(35) ; coarse.iota(0) #X=5,Y=7
+ fine=DataArrayDouble(3*2*4*4) ; fine.iota(0) #X=3,Y=2 refined by 4
+ MEDCouplingIMesh.CondenseFineToCoarse([5,7],fine,[(1,4),(2,4)],[4,4],coarse)
+ #
+ m=MEDCouplingCartesianAMRMesh("mesh",2,[6,8],[0.,0.],[1.,1.])
+ trgMesh=m.buildUnstructured()
+ m.addPatch([(1,4),(2,4)],[4,4])
+ srcMesh=m[0].getMesh().buildUnstructured()
+ srcField=MEDCouplingFieldDouble(ON_CELLS)
+ fine2=DataArrayDouble(3*2*4*4) ; fine2.iota(0) ; srcField.setArray(fine2)
+ srcField.setMesh(srcMesh) ; srcField.setNature(Integral)
+ #
+ trgField=MEDCouplingFieldDouble(ON_CELLS)
+ coarse2=DataArrayDouble(35) ; coarse2.iota(0) ; trgField.setArray(coarse2)
+ trgField.setMesh(trgMesh) ; trgField.setNature(Integral)
+ #
+ rem=MEDCouplingRemapper()
+ rem.prepare(srcMesh,trgMesh,"P0P0")
+ rem.partialTransfer(srcField,trgField)
+ #
+ self.assertTrue(coarse.isEqual(trgField.getArray(),1e-12))
+ pass
def build2DSourceMesh_1(self):
sourceCoords=[-0.3,-0.3, 0.7,-0.3, -0.3,0.7, 0.7,0.7]
