From: geay Date: Tue, 17 Jun 2014 15:25:00 +0000 (+0200) Subject: Add 3D algorithms for Spread and Condense with ghosts. X-Git-Tag: V7_5_0a1~2^2~32^2~8 X-Git-Url: http://git.salome-platform.org/gitweb/?a=commitdiff_plain;h=e83dc6e4809ed462e945ad3c199ad415c9a8b4a3;p=tools%2Fmedcoupling.git Add 3D algorithms for Spread and Condense with ghosts. --- diff --git a/src/MEDCoupling/MEDCouplingIMesh.cxx b/src/MEDCoupling/MEDCouplingIMesh.cxx index f5821c9e6..d26364a52 100644 --- a/src/MEDCoupling/MEDCouplingIMesh.cxx +++ b/src/MEDCoupling/MEDCouplingIMesh.cxx @@ -484,8 +484,44 @@ void MEDCouplingIMesh::CondenseFineToCoarseGhost(const std::vector& coarseS } break; } + case 3: + { + int nxwg(coarseSt[0]+2*ghostSize),nxywg((coarseSt[0]+2*ghostSize)*(coarseSt[1]+2*ghostSize)); + int kk(fineLocInCoarse[0].first+ghostSize+nxwg*(fineLocInCoarse[1].first+ghostSize)+nxywg*(fineLocInCoarse[2].first+ghostSize)),fact2(facts[2]),fact1(facts[1]),fact0(facts[0]); + inPtr+=(dims[0]*fact0+2*ghostSize)*(dims[1]*fact1+2*ghostSize)*ghostSize*nbCompo; + for(int k=0;k()); + else + std::copy(inPtr,inPtr+nbCompo,loc); + } + } + inPtr+=ghostSize*nbCompo; + } + } + inPtr+=ghostSize*(dims[0]*fact0+2*ghostSize)*nbCompo; + } + kk+=nxywg; + } + break; + } default: - throw INTERP_KERNEL::Exception("MEDCouplingIMesh::CondenseFineToCoarseGhost : only dimensions 1, 2 supported !"); + throw INTERP_KERNEL::Exception("MEDCouplingIMesh::CondenseFineToCoarseGhost : only dimensions 1, 2, 3 supported !"); } } @@ -636,11 +672,11 @@ void MEDCouplingIMesh::SpreadCoarseToFineGhost(const DataArrayDouble *coarseDA, double *outPtr(fineDA->getPointer()); const double *inPtr(coarseDA->begin()); // - std::vector dims(MEDCouplingStructuredMesh::GetDimensionsFromCompactFrmt(fineLocInCoarse)); switch(meshDim) { case 1: { + std::vector dims(MEDCouplingStructuredMesh::GetDimensionsFromCompactFrmt(fineLocInCoarse)); int offset(fineLocInCoarse[0].first+ghostSize-1),fact0(facts[0]);//offset is always >=0 thanks to the fact that ghostSize>=1 ! for(int i=0;i=0 thanks to the fact that ghostSize>=1 ! - for(int jg=0;jg= ghostlev - for(int i=0;i dims(MEDCouplingStructuredMesh::GetDimensionsFromCompactFrmt(fineLocInCoarse)); + int fact0(facts[0]),fact1(facts[1]),fact2(facts[2]); + int nxyWgCoarse((coarseSt[0]+2*ghostSize)*(coarseSt[1]+2*ghostSize)),nxyWgFine((dims[0]*fact0+2*ghostSize)*(dims[1]*fact1+2*ghostSize)); + int offset((fineLocInCoarse[2].first+ghostSize-1)*nxyWgCoarse);//offset is always >=0 thanks to the fact that ghostSize>=1 ! + for(int i=0;i& coarseSt, const std::vector< std::pair >& fineLocInCoarse, const std::vector& facts, int ghostSize) +{ + double *outPtrWork(outPtr); + std::vector dims(MEDCouplingStructuredMesh::GetDimensionsFromCompactFrmt(fineLocInCoarse)); + int nxwg(coarseSt[0]+2*ghostSize),fact0(facts[0]),fact1(facts[1]); + int kk(fineLocInCoarse[0].first+ghostSize-1+nxwg*(fineLocInCoarse[1].first+ghostSize-1));//kk is always >=0 thanks to the fact that ghostSize>=1 ! + for(int jg=0;jg= ghostlev + for(int i=0;i& coarseSt, const std::vector< std::pair >& fineLocInCoarse, const std::vector& facts, int ghostSize); private: int _space_dim; double _origin[3]; diff --git a/src/MEDCoupling_Swig/MEDCouplingBasicsTest.py b/src/MEDCoupling_Swig/MEDCouplingBasicsTest.py index 68e88ad55..36a7125cd 100644 --- a/src/MEDCoupling_Swig/MEDCouplingBasicsTest.py +++ b/src/MEDCoupling_Swig/MEDCouplingBasicsTest.py @@ -15495,6 +15495,37 @@ class MEDCouplingBasicsTest(unittest.TestCase): self.assertTrue(att5.getFieldOn(att5.getMyGodFather().getMeshAtPosition((1,3)),"YY").isEqualWithoutConsideringStr(exp25,1e-12)) pass + def testSwig2AMR11(self): + """ Some tests in 3D with CondenseFineToCoarseGhost and SpreadCoarseToFineGhost""" + coarse=DataArrayDouble((6+4)*(7+4)*(5+4)) ; coarse.iota() + fine=DataArrayDouble((4*2+4)*(2*3+4)*(3*4+4)) + MEDCouplingIMesh.SpreadCoarseToFineGhost(coarse,[6,7,5],fine,[(1,5),(2,4),(1,4)],[2,3,4],2) + exp0=DataArrayDouble([252.,252.,253.,253.,254.,254.,255.,255.,256.,256.,257.,257.,252.,252.,253.,253.,254.,254.,255.,255.,256.,256.,257.,257.,262.,262.,263.,263.,264.,264.,265.,265.,266.,266.,267.,267.,262.,262.,263.,263.,264.,264.,265.,265.,266.,266.,267.,267.,262.,262.,263.,263.,264.,264.,265.,265.,266.,266.,267.,267.,272.,272.,273.,273.,274.,274.,275.,275.,276.,276.,277.,277.,272.,272.,273.,273.,274.,274.,275.,275.,276.,276.,277.,277.,272.,272.,273.,273.,274.,274.,275.,275.,276.,276.,277.,277.,282.,282.,283.,283.,284.,284.,285.,285.,286.,286.,287.,287.,282.,282.,283.,283.,284.,284.,285.,285.,286.,286.,287.,287.]) + exp1=DataArrayDouble([362.,362.,363.,363.,364.,364.,365.,365.,366.,366.,367.,367.,362.,362.,363.,363.,364.,364.,365.,365.,366.,366.,367.,367.,372.,372.,373.,373.,374.,374.,375.,375.,376.,376.,377.,377.,372.,372.,373.,373.,374.,374.,375.,375.,376.,376.,377.,377.,372.,372.,373.,373.,374.,374.,375.,375.,376.,376.,377.,377.,382.,382.,383.,383.,384.,384.,385.,385.,386.,386.,387.,387.,382.,382.,383.,383.,384.,384.,385.,385.,386.,386.,387.,387.,382.,382.,383.,383.,384.,384.,385.,385.,386.,386.,387.,387.,392.,392.,393.,393.,394.,394.,395.,395.,396.,396.,397.,397.,392.,392.,393.,393.,394.,394.,395.,395.,396.,396.,397.,397.]) + exp2=DataArrayDouble([472.,472.,473.,473.,474.,474.,475.,475.,476.,476.,477.,477.,472.,472.,473.,473.,474.,474.,475.,475.,476.,476.,477.,477.,482.,482.,483.,483.,484.,484.,485.,485.,486.,486.,487.,487.,482.,482.,483.,483.,484.,484.,485.,485.,486.,486.,487.,487.,482.,482.,483.,483.,484.,484.,485.,485.,486.,486.,487.,487.,492.,492.,493.,493.,494.,494.,495.,495.,496.,496.,497.,497.,492.,492.,493.,493.,494.,494.,495.,495.,496.,496.,497.,497.,492.,492.,493.,493.,494.,494.,495.,495.,496.,496.,497.,497.,502.,502.,503.,503.,504.,504.,505.,505.,506.,506.,507.,507.,502.,502.,503.,503.,504.,504.,505.,505.,506.,506.,507.,507.]) + exp3=DataArrayDouble([582.,582.,583.,583.,584.,584.,585.,585.,586.,586.,587.,587.,582.,582.,583.,583.,584.,584.,585.,585.,586.,586.,587.,587.,592.,592.,593.,593.,594.,594.,595.,595.,596.,596.,597.,597.,592.,592.,593.,593.,594.,594.,595.,595.,596.,596.,597.,597.,592.,592.,593.,593.,594.,594.,595.,595.,596.,596.,597.,597.,602.,602.,603.,603.,604.,604.,605.,605.,606.,606.,607.,607.,602.,602.,603.,603.,604.,604.,605.,605.,606.,606.,607.,607.,602.,602.,603.,603.,604.,604.,605.,605.,606.,606.,607.,607.,612.,612.,613.,613.,614.,614.,615.,615.,616.,616.,617.,617.,612.,612.,613.,613.,614.,614.,615.,615.,616.,616.,617.,617.]) + exp4=DataArrayDouble([692.,692.,693.,693.,694.,694.,695.,695.,696.,696.,697.,697.,692.,692.,693.,693.,694.,694.,695.,695.,696.,696.,697.,697.,702.,702.,703.,703.,704.,704.,705.,705.,706.,706.,707.,707.,702.,702.,703.,703.,704.,704.,705.,705.,706.,706.,707.,707.,702.,702.,703.,703.,704.,704.,705.,705.,706.,706.,707.,707.,712.,712.,713.,713.,714.,714.,715.,715.,716.,716.,717.,717.,712.,712.,713.,713.,714.,714.,715.,715.,716.,716.,717.,717.,712.,712.,713.,713.,714.,714.,715.,715.,716.,716.,717.,717.,722.,722.,723.,723.,724.,724.,725.,725.,726.,726.,727.,727.,722.,722.,723.,723.,724.,724.,725.,725.,726.,726.,727.,727.]) + exp=DataArrayDouble.Aggregate([exp0,exp0,exp1,exp1,exp1,exp1,exp2,exp2,exp2,exp2,exp3,exp3,exp3,exp3,exp4,exp4]) + self.assertTrue(fine.isEqual(exp,1e-12)) + fine.iota() + coarse.iota(0.5) + MEDCouplingIMesh.CondenseFineToCoarseGhost([6,7,5],fine,[(1,5),(2,4),(1,4)],[2,3,4],coarse,2) + amr=MEDCouplingCartesianAMRMesh("mesh",3,[7,8,6],[0.,0.,0.],[1.,1.,1.]) + amr.addPatch([(1,5),(2,4),(1,4)],[2,3,4]) + att=MEDCouplingAMRAttribute(amr,[("YY",1)],2) + att.alloc() + exp1=DataArrayDouble(990) ; exp1.iota(0.5) + ids=DataArrayInt([373,374,375,376,383,384,385,386,483,484,485,486,493,494,495,496,593,594,595,596,603,604,605,606]) + vals=DataArrayDouble([11004.,11052.,11100.,11148.,11868.,11916.,11964.,12012.,22524.,22572.,22620.,22668.,23388.,23436.,23484.,23532.,34044.,34092.,34140.,34188.,34908.,34956.,35004.,35052.]) + exp1[ids]=vals + self.assertTrue(coarse.isEqual(exp1,1e-12)) + MEDCouplingStructuredMesh.MultiplyPartOf([10,11,9],[(3,7),(4,6),(3,6)],1/24.,coarse) + # + exp2=DataArrayDouble(990) ; exp2.iota(0.5) + exp2[ids]=vals/24. + self.assertTrue(coarse.isEqual(exp2,1e-12)) + pass + pass if __name__ == '__main__':