X-Git-Url: http://git.salome-platform.org/gitweb/?a=blobdiff_plain;f=src%2FMEDCoupling_Swig%2FMEDCouplingRemapperTest.py;h=58054d5192bf4d97490c27f447c95b37b7042a08;hb=b219559763498c4bd10c730cd3d2c62b1eed45db;hp=b22ebf533db3efe3f6f39fd674d23fec78d9a315;hpb=29f721b8ca46ed5d7872a8a23dd891c46d74ba10;p=tools%2Fmedcoupling.git diff --git a/src/MEDCoupling_Swig/MEDCouplingRemapperTest.py b/src/MEDCoupling_Swig/MEDCouplingRemapperTest.py index b22ebf533..58054d519 100644 --- a/src/MEDCoupling_Swig/MEDCouplingRemapperTest.py +++ b/src/MEDCoupling_Swig/MEDCouplingRemapperTest.py @@ -1,10 +1,10 @@ # -*- coding: iso-8859-1 -*- -# Copyright (C) 2007-2012 CEA/DEN, EDF R&D +# Copyright (C) 2007-2019 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 @@ -18,6 +18,7 @@ # See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com # +from MEDCouplingDataForTest import MEDCouplingDataForTest from MEDCouplingRemapper import * from math import * import unittest @@ -29,13 +30,13 @@ class MEDCouplingBasicsTest(unittest.TestCase): remapper=MEDCouplingRemapper() remapper.setPrecision(1e-12); remapper.setIntersectionType(Triangulation); - self.failUnless(remapper.prepare(sourceMesh,targetMesh,"P0P0")==1); + self.assertTrue(remapper.prepare(sourceMesh,targetMesh,"P0P0")==1); srcField=MEDCouplingFieldDouble.New(ON_CELLS); - srcField.setNature(ConservativeVolumic); + srcField.setNature(IntensiveMaximum); srcField.setMesh(sourceMesh); array=DataArrayDouble.New(); ptr=sourceMesh.getNumberOfCells()*[None] - for i in xrange(sourceMesh.getNumberOfCells()): + for i in range(sourceMesh.getNumberOfCells()): ptr[i]=float(i+7) pass array.setValues(ptr,sourceMesh.getNumberOfCells(),1); @@ -51,10 +52,10 @@ class MEDCouplingBasicsTest(unittest.TestCase): self.assertEqual(c,10) values=trgfield.getArray().getValues(); valuesExpected=[7.5 ,7. ,7.,8.,7.5]; - for i in xrange(targetMesh.getNumberOfCells()): - self.failUnless(abs(values[i]-valuesExpected[i])<1e-12); + for i in range(targetMesh.getNumberOfCells()): + self.assertTrue(abs(values[i]-valuesExpected[i])<1e-12); pass - self.failUnless(1==trgfield.getArray().getNumberOfComponents()); + self.assertTrue(1==trgfield.getArray().getNumberOfComponents()); pass def testPrepareEx1(self): @@ -70,11 +71,11 @@ class MEDCouplingBasicsTest(unittest.TestCase): trgFt.setMesh(targetMesh); self.assertEqual(1,remapper.prepareEx(srcFt,trgFt)); srcField=MEDCouplingFieldDouble.New(ON_CELLS); - srcField.setNature(ConservativeVolumic); + srcField.setNature(IntensiveMaximum); srcField.setMesh(sourceMesh); array=DataArrayDouble.New(); ptr=sourceMesh.getNumberOfCells()*[None] - for i in xrange(sourceMesh.getNumberOfCells()): + for i in range(sourceMesh.getNumberOfCells()): ptr[i]=float(i+7); pass array.setValues(ptr,sourceMesh.getNumberOfCells(),1); @@ -84,7 +85,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): valuesExpected=[7.75, 7.0625, 4.220173,8.0] self.assertEqual(4,trgfield.getArray().getNumberOfTuples()); self.assertEqual(1,trgfield.getArray().getNumberOfComponents()); - for i0 in xrange(4): + for i0 in range(4): self.assertAlmostEqual(valuesExpected[i0],values[i0],12); pass pass @@ -102,21 +103,21 @@ class MEDCouplingBasicsTest(unittest.TestCase): trgFt.setMesh(targetMesh); self.assertEqual(1,remapper.prepareEx(srcFt,trgFt)); srcField=MEDCouplingFieldDouble.New(ON_CELLS); - srcField.setNature(ConservativeVolumic); + srcField.setNature(IntensiveMaximum); srcField.setMesh(sourceMesh); array=DataArrayDouble.New(); ptr=sourceMesh.getNumberOfCells()*[None] - for i in xrange(sourceMesh.getNumberOfCells()): + for i in range(sourceMesh.getNumberOfCells()): ptr[i]=float(i+7); pass array.setValues(ptr,sourceMesh.getNumberOfCells(),1); srcField.setArray(array); trgfield=MEDCouplingFieldDouble.New(ON_CELLS); - trgfield.setNature(ConservativeVolumic); + trgfield.setNature(IntensiveMaximum); trgfield.setMesh(targetMesh); array=DataArrayDouble.New(); ptr=targetMesh.getNumberOfCells()*[None] - for i in xrange(targetMesh.getNumberOfCells()): + for i in range(targetMesh.getNumberOfCells()): ptr[i]=4.220173; pass array.setValues(ptr,targetMesh.getNumberOfCells(),1); @@ -126,7 +127,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): valuesExpected=[7.75, 7.0625, 4.220173,8.0] self.assertEqual(4,trgfield.getArray().getNumberOfTuples()); self.assertEqual(1,trgfield.getArray().getNumberOfComponents()); - for i0 in xrange(4): + for i0 in range(4): self.assertAlmostEqual(valuesExpected[i0],values[i0],12); pass pass @@ -139,7 +140,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): trg=MEDCouplingCMesh() ; arr=DataArrayDouble([-0.7,-0.1,0.2,0.7,2.,2.3]) trg.setCoordsAt(0,arr) fieldSrc=MEDCouplingFieldDouble(ON_CELLS,NO_TIME) ; fieldSrc.setMesh(src) ; arrSrc=DataArrayDouble([10.,30.]) - fieldSrc.setNature(Integral) ; fieldSrc.setArray(arrSrc) + fieldSrc.setNature(ExtensiveMaximum) ; fieldSrc.setArray(arrSrc) rem=MEDCouplingRemapper() rem.prepare(src,trg,"P0P0") trgField=rem.transferField(fieldSrc,-7.) @@ -156,7 +157,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): trg=MEDCouplingCMesh() ; arr=DataArrayDouble([-0.7,-0.1,0.2,0.7,2.,2.3]) trg.setCoordsAt(0,arr) ; trg.setCoordsAt(1,arr) fieldSrc=MEDCouplingFieldDouble(ON_CELLS,NO_TIME) ; fieldSrc.setMesh(src) ; arrSrc=DataArrayDouble([10.,30.]) - fieldSrc.setNature(Integral) ; fieldSrc.setArray(arrSrc) + fieldSrc.setNature(ExtensiveMaximum) ; fieldSrc.setArray(arrSrc) rem=MEDCouplingRemapper() rem.prepare(src,trg,"P0P0") trgField=rem.transferField(fieldSrc,-7.) @@ -172,10 +173,10 @@ class MEDCouplingBasicsTest(unittest.TestCase): src.allocateCells(2) ; src.insertNextCell(NORM_TETRA4,[0,1,2,5]) ; src.insertNextCell(NORM_TETRA4,[3,4,0,6]) ; src.finishInsertingCells() trg=MEDCouplingCMesh() ; arr=DataArrayDouble([-0.7,-0.1,0.2,0.7,2.,2.3]) ; arr2=DataArrayDouble([-0.7,0.2,0.6,1.2,2.]) trg.setCoordsAt(0,arr) ; trg.setCoordsAt(1,arr) ; trg.setCoordsAt(2,arr2) - src.checkCoherency2(1e-10) - trg.checkCoherency() + src.checkConsistency(1e-10) + trg.checkConsistencyLight() fieldSrc=MEDCouplingFieldDouble(ON_CELLS,NO_TIME) ; fieldSrc.setMesh(src) ; arrSrc=DataArrayDouble([10.,30.]) - fieldSrc.setNature(Integral) ; fieldSrc.setArray(arrSrc) + fieldSrc.setNature(ExtensiveMaximum) ; fieldSrc.setArray(arrSrc) rem=MEDCouplingRemapper() rem.prepare(src,trg,"P0P0") trgField=rem.transferField(fieldSrc,-7.) @@ -195,7 +196,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): src=MEDCouplingCMesh() ; arr=DataArrayDouble([-0.7,-0.1,0.2,0.7,2.,2.3]) src.setCoordsAt(0,arr) fieldSrc=MEDCouplingFieldDouble(ON_CELLS,NO_TIME) ; fieldSrc.setMesh(src) ; arrTrg=DataArrayDouble([10.,30.,40.,70.,80.]) - fieldSrc.setNature(Integral) ; fieldSrc.setArray(arrTrg) + fieldSrc.setNature(ExtensiveMaximum) ; fieldSrc.setArray(arrTrg) rem=MEDCouplingRemapper() rem.prepare(src,trg,"P0P0") trgField=rem.transferField(fieldSrc,-7.) @@ -212,7 +213,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): src=MEDCouplingCMesh() ; arr=DataArrayDouble([-0.7,-0.1,0.2,0.7,2.,2.3]) src.setCoordsAt(0,arr) ; src.setCoordsAt(1,arr) fieldSrc=MEDCouplingFieldDouble(ON_CELLS,NO_TIME) ; fieldSrc.setMesh(src) ; arrSrc=DataArrayDouble([10.,30.,40.,70.,80.,110.,130.,140.,170.,180.,210.,230.,240.,270.,280.,310.,330.,340.,370.,380.,410.,430.,440.,470.,480.]) - fieldSrc.setNature(Integral) ; fieldSrc.setArray(arrSrc) + fieldSrc.setNature(ExtensiveMaximum) ; fieldSrc.setArray(arrSrc) rem=MEDCouplingRemapper() rem.prepare(src,trg,"P0P0") trgField=rem.transferField(fieldSrc,-7.) @@ -228,10 +229,10 @@ class MEDCouplingBasicsTest(unittest.TestCase): trg.allocateCells(2) ; trg.insertNextCell(NORM_TETRA4,[0,1,2,5]) ; trg.insertNextCell(NORM_TETRA4,[3,4,0,6]) ; trg.finishInsertingCells() src=MEDCouplingCMesh() ; arr=DataArrayDouble([-0.7,-0.1,0.2,0.7,2.,2.3]) ; arr2=DataArrayDouble([-0.7,0.2,0.6,1.2,2.]) src.setCoordsAt(0,arr) ; src.setCoordsAt(1,arr) ; src.setCoordsAt(2,arr2) - trg.checkCoherency2(1e-10) - src.checkCoherency() + trg.checkConsistency(1e-10) + src.checkConsistencyLight() fieldSrc=MEDCouplingFieldDouble(ON_CELLS,NO_TIME) ; fieldSrc.setMesh(src) ; arrSrc=DataArrayDouble(100) ; arrSrc.iota(7.7) - fieldSrc.setNature(Integral) ; fieldSrc.setArray(arrSrc) + fieldSrc.setNature(ExtensiveMaximum) ; fieldSrc.setArray(arrSrc) rem=MEDCouplingRemapper() rem.prepare(src,trg,"P0P0") trgField=rem.transferField(fieldSrc,-7.) @@ -250,7 +251,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): trg=MEDCouplingCMesh() ; arr=DataArrayDouble([-0.9,-0.1,0.15]) trg.setCoordsAt(0,arr) fieldSrc=MEDCouplingFieldDouble(ON_CELLS,NO_TIME) ; fieldSrc.setMesh(src) ; arrTrg=DataArrayDouble([10.,30.,40.,70.,80.]) - fieldSrc.setNature(Integral) ; fieldSrc.setArray(arrTrg) + fieldSrc.setNature(ExtensiveMaximum) ; fieldSrc.setArray(arrTrg) rem=MEDCouplingRemapper() rem.prepare(src,trg,"P0P0") trgField=rem.transferField(fieldSrc,-7.) @@ -266,7 +267,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): trg=MEDCouplingCMesh() ; arr=DataArrayDouble([-0.9,-0.1,0.15]) trg.setCoordsAt(0,arr) ; trg.setCoordsAt(1,arr) fieldSrc=MEDCouplingFieldDouble(ON_CELLS,NO_TIME) ; fieldSrc.setMesh(src) ; arrSrc=DataArrayDouble([10.,30.,40.,70.,80.,110.,130.,140.,170.,180.,210.,230.,240.,270.,280.,310.,330.,340.,370.,380.,410.,430.,440.,470.,480.]) - fieldSrc.setNature(Integral) ; fieldSrc.setArray(arrSrc) + fieldSrc.setNature(ExtensiveMaximum) ; fieldSrc.setArray(arrSrc) rem=MEDCouplingRemapper() rem.prepare(src,trg,"P0P0") trgField=rem.transferField(fieldSrc,-7.) @@ -282,7 +283,7 @@ class MEDCouplingBasicsTest(unittest.TestCase): trg=MEDCouplingCMesh() ; arr=DataArrayDouble([-0.9,-0.1,0.15]) trg.setCoordsAt(0,arr) ; trg.setCoordsAt(1,arr) ; trg.setCoordsAt(2,arr) fieldSrc=MEDCouplingFieldDouble(ON_CELLS,NO_TIME) ; fieldSrc.setMesh(src) ; arrSrc=DataArrayDouble(125) ; arrSrc.iota(7.7) - fieldSrc.setNature(Integral) ; fieldSrc.setArray(arrSrc) ; fieldSrc.checkCoherency() + fieldSrc.setNature(ExtensiveMaximum) ; fieldSrc.setArray(arrSrc) ; fieldSrc.checkConsistencyLight() rem=MEDCouplingRemapper() rem.prepare(src,trg,"P0P0") trgField=rem.transferField(fieldSrc,-7.) @@ -307,19 +308,19 @@ class MEDCouplingBasicsTest(unittest.TestCase): rem2=MEDCouplingRemapper() ; rem2.setSplittingPolicy(PLANAR_FACE_5) ; rem2.prepare(src1,trg,"P0P0") mat1=rem1.getCrudeMatrix() ; mat2=rem2.getCrudeMatrix() self.assertEqual(1,len(mat1)) ; self.assertEqual(1,len(mat2)) - self.assertEqual(mat1[0].keys(),mat2[0].keys()) ; self.assertEqual([0,1],mat1[0].keys()) + self.assertEqual(list(mat1[0].keys()),list(mat2[0].keys())) ; self.assertEqual([0,1],list(mat1[0].keys())) self.assertAlmostEqual(1.25884108122e-06,mat1[0][0],16) ; self.assertAlmostEqual(1.25884108122e-06,mat2[0][0],16) self.assertAlmostEqual(1.25884086663e-06,mat1[0][1],16) ; self.assertAlmostEqual(1.25884086663e-06,mat2[0][1],16) # d=DataArrayDouble([13.45,27.67],2,1) - f1=MEDCouplingFieldDouble(ON_CELLS,ONE_TIME) ; f1.setMesh(src1) ; f1.setArray(d) ; f1.setNature(RevIntegral) - f2=MEDCouplingFieldDouble(ON_CELLS,ONE_TIME) ; f2.setMesh(src2) ; f2.setArray(d) ; f2.setNature(RevIntegral) + f1=MEDCouplingFieldDouble(ON_CELLS,ONE_TIME) ; f1.setMesh(src1) ; f1.setArray(d) ; f1.setNature(IntensiveConservation) + f2=MEDCouplingFieldDouble(ON_CELLS,ONE_TIME) ; f2.setMesh(src2) ; f2.setArray(d) ; f2.setNature(IntensiveConservation) f11=rem1.transferField(f1,1e300) ; f22=rem2.transferField(f2,1e300) expected1=DataArrayDouble([0.012480539537637884]) self.assertTrue(f11.getArray().isEqual(expected1,1e-15)) self.assertTrue(f22.getArray().isEqual(expected1,1e-15)) # - f1.setNature(Integral) ; f2.setNature(Integral) + f1.setNature(ExtensiveMaximum) ; f2.setNature(ExtensiveMaximum) f11=rem1.transferField(f1,1e300) ; f22=rem2.transferField(f2,1e300) # expected2=DataArrayDouble([41.12]) @@ -332,16 +333,16 @@ class MEDCouplingBasicsTest(unittest.TestCase): cc=MEDCouplingCMesh() cc.setCoords(c,c,c) um=cc.buildUnstructured() - f=um.getMeasureField(ON_CELLS) + f=um.getMeasureField(False) # n2o=um.simplexize(PLANAR_FACE_5) f.setArray(f.getArray()[n2o]) - f.checkCoherency() - f.setNature(ConservativeVolumic) + f.checkConsistencyLight() + f.setNature(IntensiveMaximum) 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()) @@ -354,7 +355,973 @@ class MEDCouplingBasicsTest(unittest.TestCase): self.assertAlmostEqual(fNode.integral(False)[0],integExpected,14) self.assertAlmostEqual(f.integral(False)[0],integExpected,14) pass - + + def testGauss2Gauss2DValidated(self): + srcFt=MEDCouplingDataForTest.buildFieldOnGauss_1() + trgFt=MEDCouplingDataForTest.buildFieldOnGauss_2() + src=MEDCouplingFieldDouble(srcFt) + self.assertEqual(srcFt.getMesh().getHiddenCppPointer(),src.getMesh().getHiddenCppPointer()) + self.assertEqual(srcFt.getDiscretization().getHiddenCppPointer(),src.getDiscretization().getHiddenCppPointer()) + #values given by ASTER usecase + src.setArray(DataArrayDouble([1.,1.,0.,0.,1.,1.,1.,1.,0.,0.,1.,1.,1.,1.,1.,1.,0.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,0.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,0.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,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.,1.,1.,1.,1.,1.,1.,0.,0.,0.,0.,0.,0.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.])) + src.getArray().setInfoOnComponents(["DOMA"]) + rem=MEDCouplingRemapper() + rem.setIntersectionType(PointLocator) + rem.prepareEx(srcFt,trgFt) + trg=rem.transferField(src,1e300) + self.assertEqual(trg.getMesh().getHiddenCppPointer(),trgFt.getMesh().getHiddenCppPointer()) + self.assertEqual(trg.getDiscretization().getHiddenCppPointer(),trgFt.getDiscretization().getHiddenCppPointer()) + #values given after interpolation in ASTER + arrExpected=DataArrayDouble([1.,1.,1.,0.,0.,0.,1.,1.,1.,1.,1.,0.,0.,0.,1.,1.,1.,1.,1.,0.,0.,0.,1.,1.,1.,1.,1.,0.,0.,0.,1.,1.,1.,1.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,1.,1.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,1.,1.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,1.,1.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,1.,1.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,1.,1.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,1.,0.,0.,0.,0.,1.,1.,1.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,1.,0.,0.,0.,0.,1.,1.,1.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,1.,0.,0.,0.,0.,1.,1.,1.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,1.,0.,0.,0.,0.,1.,1.,1.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,1.,0.,0.,0.,0.,1.,1.,1.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,0.,0.,1.,0.,0.,1.,1.,0.,0.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,0.,0.,1.,0.,0.,1.,1.,0.,0.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,0.,0.,1.,0.,0.,1.,1.,0.,0.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,0.,0.,1.,0.,0.,1.,1.,0.,0.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,0.,0.,1.,0.,0.,1.,1.,0.,0.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.]) ; arrExpected.setInfoOnComponents(["DOMA"]) + self.assertTrue(trg.getArray().isEqual(arrExpected,1e-12)) + # + # second part of the test : reverse source and target + # + rem.prepareEx(trgFt,srcFt)# sorry trgFt is in the place of source and srcFt in the place of target it is not a bug + trg=MEDCouplingFieldDouble(trgFt) + #values given after interpolation in ASTER + trg.setArray(DataArrayDouble([1.,1.,0.,0.,1.,0.,1.,1.,1.,1.,0.,0.,1.,0.,1.,1.,1.,1.,0.,0.,1.,0.,1.,1.,1.,1.,0.,0.,1.,0.,1.,1.,1.,1.,0.,0.,1.,0.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,1.,1.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,1.,1.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,1.,1.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,1.,1.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,1.,1.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,1.,0.,0.,0.,0.,1.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,1.,0.,0.,0.,0.,1.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,1.,0.,0.,0.,0.,1.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,1.,0.,0.,0.,0.,1.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,1.,0.,0.,0.,0.,1.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,0.,0.,1.,0.,0.,1.,1.,0.,0.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,0.,0.,1.,0.,0.,1.,1.,0.,0.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,0.,0.,1.,0.,0.,1.,1.,0.,0.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,0.,0.,1.,0.,0.,1.,1.,0.,0.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,1.,0.,0.,0.,1.,0.,0.,1.,1.,0.,0.,1.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.])) + trg.getArray().setInfoOnComponents(["DOMA"]) + src=rem.transferField(trg,1e300) + #values given after interpolation in ASTER + arrExpected2=DataArrayDouble([1.,1.,0.,0.,1.,1.,1.,1.,0.,0.,1.,1.,1.,1.,1.,1.,0.,0.,0.,0.,1.,1.,1., 1.,1.,1.,1.,1.,0.,0.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,0.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.,0.,0.,0.,0.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,0.,1.,1.,0.,1.,1.,1.,1.,0.,0.,0.,0.,1.,0.,0.,0.,1.,1.,1.,0.,1.,1.,1.,1.,1.,1.,0.,0.,1.,1.,0.,1.,1.,1.,0.,1.,0.,0.,0.,1.,0.,0.,0.,1.,1.,1.,0.,1.,1.,1.,1.,1.]) ; arrExpected2.setInfoOnComponents(["DOMA"]) + # modification of values in ASTER due to modification of algorithm + # target PG 82 in target cell 32(C)/36 PG 1(C)/9 is in source cell 58(C)/120 source Gauss point 113 (1(C)/4). Values must be 1. and not 0. + arrExpected2.setIJ(82,0,1.) + self.assertTrue(src.getArray().isEqual(arrExpected2,1e-12)) + pass + + def testGauss2Gauss3DValidated(self): + srcFt=MEDCouplingDataForTest.buildFieldOnGauss_3() + trgFt=MEDCouplingDataForTest.buildFieldOnGauss_4() + src=MEDCouplingFieldDouble(srcFt) + self.assertEqual(srcFt.getMesh().getHiddenCppPointer(),src.getMesh().getHiddenCppPointer()) + self.assertEqual(srcFt.getDiscretization().getHiddenCppPointer(),src.getDiscretization().getHiddenCppPointer()) + #values given by ASTER usecase + src.setArray(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.,0.,0.,0.,0.,1.,1.,0.,0.,1.,1.,1.,1.,0.,0.,1.,1.,0.,0.])) + src.getArray().setInfoOnComponents(["DOMA"]) + rem=MEDCouplingRemapper() + rem.setIntersectionType(PointLocator) + rem.prepareEx(srcFt,trgFt) + trg=rem.transferField(src,1e300) + self.assertEqual(trg.getMesh().getHiddenCppPointer(),trgFt.getMesh().getHiddenCppPointer()) + self.assertEqual(trg.getDiscretization().getHiddenCppPointer(),trgFt.getDiscretization().getHiddenCppPointer()) + #values given after interpolation in ASTER + arrExpected=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.,0.,0.,1.,1.,0.,0.,1.,1.,1.,1.,0.,1.,1.,1.,0.,1.]) ; arrExpected.setInfoOnComponents(["DOMA"]) + self.assertTrue(trg.getArray().isEqual(arrExpected,1e-12)) + # + # second part of the test : reverse source and target + # + rem.prepareEx(trgFt,srcFt)# sorry trgFt is in the place of source and srcFt in the place of target it is not a bug + trg=MEDCouplingFieldDouble(trgFt) + #values given after interpolation in ASTER + trg.setArray(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.,1.,1.,1.,0.,0.,1.,1.,0.,0.,1.,1.,1.,1.,1.,1.,1.,1.,1.,1.])) + trg.getArray().setInfoOnComponents(["DOMA"]) + src=rem.transferField(trg,1e300) + #values given after interpolation in ASTER + 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.deepCopy() ; 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.deepCopy() + 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.deepCopy() + #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.deepCopy() ; 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.deepCopy() ; 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("source",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 range(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 + + def testSwig2MappedBarycentricP1P12D_1(self): + """ Testing mapped barycentric P1P1 projection + (uses analytical mapping from square to arbitrary convex quadrangle) + """ + n = 5 + sCoo = DataArrayDouble(n,1) + sCoo.iota(0.0); sCoo /= float(n-1) + m = MEDCouplingCMesh("target") + m.setCoordsAt(0, sCoo) + m.setCoordsAt(1, sCoo) + tgt = m.buildUnstructured() + coo = tgt.getCoords() + orig = coo.deepCopy(); orig[:,0] = 10.0; orig[:,1] = 15.0 + pt_a = coo.deepCopy(); pt_a[:,0] = -0.3; pt_a[:,1] = 1.0 + pt_b = coo.deepCopy(); pt_b[:,0] = 2.0; pt_b[:,1] = 3.0 + pt_c = coo.deepCopy(); pt_c[:,0] = 1.0; pt_c[:,1] = 0.0 + # P = x*C+y*A + xy(B-A-C) + ORIGIN + coo2 = coo[:,0]*pt_c + coo[:, 1]*pt_a + coo[:, 0]*coo[:, 1]*(pt_b - pt_a - pt_c) + orig + + tgt.setCoords(coo2) + + sCoo = DataArrayDouble([0.0,0.0, -0.3,1.0, 2.0,3.0, 1.0,0.0],4,2) + sCoo[:,0] += 10.0; sCoo[:,1] += 15.0; + sConn = DataArrayInt([0,1,2,3]) + s = MEDCoupling1SGTUMesh("source",NORM_QUAD4) ; s.setCoords(sCoo) + s.setNodalConnectivity(sConn) + # + aRemapper=MEDCouplingRemapper() + aRemapper.setPrecision(1e-12) + aRemapper.setIntersectionType(MappedBarycentric) + self.assertEqual(aRemapper.prepare(s,tgt,'P1P1'),1) + srcField = MEDCouplingFieldDouble(ON_NODES, ONE_TIME) + srcField.setNature(IntensiveMaximum) + srcField.setMesh(s); srcField.setName("field") + srcField.setArray(DataArrayDouble([1.0,2.0,3.0,4.0])) + tgtF = aRemapper.transferField(srcField, 1e+300) + ref = [1.0, 1.75, 2.5, 3.25, 4.0, 1.25, 1.875, 2.5, 3.125, 3.75, 1.5, 2.0, 2.5, 3.0, 3.5, 1.75, + 2.125, 2.5, 2.875, 3.25, 2.0, 2.25, 2.5, 2.75, 3.0] + val = tgtF.getArray().getValues() + for i, ref_v in enumerate(ref): + self.assertAlmostEqual(ref_v, val[i]) + pass + + def testSwig2MappedBarycentricP1P13_1(self): + """ Testing mapped barycentric P1P1 projection in 3D (uses orthogonal distances to + HEXA8 faces). + Convention: + 0 ------ 3 + /| /| + / | / | + 1 ------ 2 | + | | | | + | | | | + | 4-----|- 7 + | / | / + 5 ------ 6 + """ + n = 5 + sCoo = DataArrayDouble(n,1) + sCoo.iota(0.0) + sCoo /= float(n-1) + m = MEDCouplingCMesh("target") + m.setCoordsAt(0, sCoo) + m.setCoordsAt(1, sCoo) + m.setCoordsAt(2, sCoo) + tgt = m.buildUnstructured() + coo = tgt.getCoords() + pt_0 = coo.deepCopy(); pt_0[:,0] = -0.3; pt_0[:,1] = 1.0; pt_0[:,2] = 1.0 + pt_1 = coo.deepCopy(); pt_1[:,0] = 0.0; pt_1[:,1] = 0.0; pt_1[:,2] = 1.0 + pt_2 = coo.deepCopy(); pt_2[:,0] = 1.0; pt_2[:,1] = 0.0; pt_2[:,2] = 1.0 + pt_3 = coo.deepCopy(); pt_3[:,0] = 2.0; pt_3[:,1] = 3.0; pt_3[:,2] = 1.0 + + pt_4 = coo.deepCopy(); pt_4[:,0] = -0.3; pt_4[:,1] = 1.0; pt_4[:,2] = 0.0 + orig = coo.deepCopy(); orig[:,0] = 10.0; orig[:,1] = 15.0; orig[:,2] = 20.0 + pt_6 = coo.deepCopy(); pt_6[:,0] = 1.0; pt_6[:,1] = 0.0; pt_6[:,2] = 0.0 + pt_7 = coo.deepCopy(); pt_7[:,0] = 2.0; pt_7[:,1] = 3.0; pt_7[:,2] = 0.0 + # P = x*p6 + y*p4 + z*p1 + xy*(p7-p6-p4) + xz*(p2-p1-p6) + yz*(p0-p4-p1) + xyz(p3-p7-p2-p0+p1+p6+p4) + x,y,z = coo[:,0],coo[:,1],coo[:,2] + coo2 = x*pt_6 + y*pt_4 + z*pt_1 + \ + x*y*(pt_7 - pt_6 - pt_4) + x*z*(pt_2 - pt_1 - pt_6) + y*z*(pt_0 - pt_4 - pt_1) + \ + x*y*z*(pt_3 - pt_7 - pt_2 - pt_0 + pt_6 + pt_1 + pt_4) + orig + tgt.setCoords(coo2) + + sCoo = DataArrayDouble([-0.3,1.0,1.0, 0.0,0.0,1.0, 1.0,0.0,1.0, 2.0,3.0,1.0, + -0.3,1.0,0.0, 0.0,0.0,0.0, 1.0,0.0,0.0, 2.0,3.0,0.0,],8,3) + sCoo[:, 0] += 10.0; sCoo[:, 1] += 15.0; sCoo[:, 2] += 20.0; + sConn = DataArrayInt([0,1,2,3,4, 5,6,7]) + s = MEDCoupling1SGTUMesh("source",NORM_HEXA8) ; s.setCoords(sCoo) + s.setNodalConnectivity(sConn) + # + aRemapper=MEDCouplingRemapper() + aRemapper.setPrecision(1e-12) + aRemapper.setIntersectionType(MappedBarycentric) + self.assertEqual(aRemapper.prepare(s,tgt,'P1P1'),1) + srcField = MEDCouplingFieldDouble(ON_NODES, ONE_TIME) + srcField.setNature(IntensiveMaximum) + srcField.setMesh(s); srcField.setName("field") + srcField.setArray(DataArrayDouble([1.0,2.0,3.0,4.0,5.0,6.0,7.0,8.0])) + tgtF = aRemapper.transferField(srcField, 1e+300) +# print tgtF.getArray().getValues() + ref = [6.0, 6.251802698104413, 6.502397834044702, 6.7517940736426665, 7.0, 5.740554726834594, + 6.1761835575796935, 6.6052985689637564, 7.009392769824465, 7.383488834310164, + 5.487562931129931, 6.140664596972973, 6.720290674177548, 7.220534970454015, 7.651092836860121, + 5.2407867837524345, 6.125759809889516, 6.82853486793175, 7.390880823876876, 7.848445254819061, + 5.0, 6.12211344611157, 6.925740671133115, 7.529623182840827, 8.0, 5.0, 5.251802698104413, + 5.502397834044702, 5.751794073642667, 6.0, 4.740554726834594, 5.1761835575796935, + 5.6052985689637564, 6.009392769824465, 6.383488834310163, 4.487562931129931, 5.140664596972973, + 5.720290674177548, 6.220534970454015, 6.651092836860121, 4.2407867837524345, 5.125759809889516, + 5.828534867931749, 6.390880823876876, 6.848445254819061, 4.0, 5.122113446111569, 5.925740671133115, + 6.529623182840827, 7.0, 4.0, 4.251802698104413, 4.502397834044702, 4.751794073642667, 5.0, 3.740554726834594, + 4.176183557579693, 4.6052985689637564, 5.009392769824464, 5.383488834310164, 3.487562931129931, + 4.140664596972973, 4.720290674177548, 5.220534970454015, 5.651092836860121, 3.240786783752434, 4.125759809889516, 4.82853486793175, + 5.390880823876876, 5.848445254819061, 3.0, 4.122113446111569, 4.925740671133115, 5.529623182840827, 6.0, 3.0, + 3.2518026981044135, 3.502397834044702, 3.7517940736426674, 4.0, 2.7405547268345933, 3.176183557579693, + 3.6052985689637564, 4.009392769824465, 4.383488834310164, 2.487562931129931, 3.140664596972973, 3.7202906741775474, 4.220534970454015, 4.65109283686012, 2.2407867837524345, 3.1257598098895154, 3.828534867931749, + 4.390880823876876, 4.848445254819061, 2.0, 3.1221134461115687, 3.9257406711331146, 4.529623182840826, 5.0, 2.0, 2.2518026981044135, 2.502397834044702, 2.7517940736426674, 3.0, 1.7405547268345936, 2.176183557579693, 2.6052985689637564, + 3.0093927698244642, 3.3834888343101635, 1.4875629311299305, 2.1406645969729734, 2.720290674177548, + 3.2205349704540143, 3.6510928368601205, 1.2407867837524345, 2.125759809889516, 2.8285348679317495, 3.390880823876876, 3.848445254819061, 1.0, 2.1221134461115687, 2.9257406711331146, 3.529623182840827, 4.0] + + val = tgtF.getArray().getValues() + for i, ref_v in enumerate(ref): + self.assertAlmostEqual(ref_v, val[i]) + 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.deepCopy() ; 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 range(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) + # ExtensiveConservation (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) + # IntensiveMaximum (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 range(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 range(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.findIdsInRange(1e-17,1e300).empty()) + self.assertTrue(DataArrayInt32(m0.indices).isEqual(DataArrayInt32([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(DataArrayInt32(m0.indptr).isEqual(DataArrayInt32([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.findIdsEqual(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=DataArrayInt32(mat.indptr) #not depend on MEDCouplingUse64BitIDs() + indptr2=indptr.deltaShiftIndex() + cellIdsOfNonConformCells=indptr2.findIdsNotEqual(1) + cellIdsOfSkin=indptr2.findIdsEqual(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 range(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(IntensiveMaximum) + # + 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(ExtensiveMaximum) + # + trgField=MEDCouplingFieldDouble(ON_CELLS) + coarse2=DataArrayDouble(35) ; coarse2.iota(0) ; trgField.setArray(coarse2) + trgField.setMesh(trgMesh) ; trgField.setNature(ExtensiveMaximum) + # + rem=MEDCouplingRemapper() + rem.prepare(srcMesh,trgMesh,"P0P0") + rem.partialTransfer(srcField,trgField) + # + self.assertTrue(coarse.isEqual(trgField.getArray(),1e-12)) + pass + + @unittest.skipUnless(MEDCouplingHasNumPyBindings() and MEDCouplingHasSciPyBindings(),"requires numpy AND scipy") + def test1DPointLocator1(self): + """This test focuses on PointLocator for P1P1 in 1D and 2DCurve.""" + from numpy import array + from scipy.sparse import diags,csr_matrix,identity + ## basic case 1D + arrS=DataArrayInt.Range(0,11,1).convertToDblArr() + arrT=DataArrayDouble([0.1,1.7,5.5,9.6]) + mS=MEDCouplingCMesh() ; mS.setCoords(arrS) + mT=MEDCouplingCMesh() ; mT.setCoords(arrT) + rem=MEDCouplingRemapper() + rem.setIntersectionType(PointLocator) + self.assertEqual(rem.prepare(mS.buildUnstructured(),mT.buildUnstructured(),"P1P1"),1) + m=rem.getCrudeCSRMatrix() + rowSum=m.sum(axis=1) + m=diags(array(1/rowSum.transpose()),[0])*m + # expected matrix + row=array([0,0,1,1,2,2,3,3]) + col=array([0,1,1,2,5,6,9,10]) + data=array([0.9,0.1,0.3,0.7,0.5,0.5,0.4,0.6]) + mExp0=csr_matrix((data,(row,col)),shape=(4,11)) + # compute diff and check + diff=abs(m-mExp0) + self.assertAlmostEqual(diff.sum(),0.,14) + ## full specific case 1D where target=source + rem=MEDCouplingRemapper() + rem.setIntersectionType(PointLocator) + self.assertEqual(rem.prepare(mS.buildUnstructured(),mS.buildUnstructured(),"P1P1"),1) + m=rem.getCrudeCSRMatrix() + rowSum=m.sum(axis=1) + m=diags(array(1/rowSum.transpose()),[0])*m + # expected matrix + mExp1=identity(11) + diff=abs(m-mExp1) + self.assertAlmostEqual(diff.sum(),0.,14) + ## case where some points in target are not in source + arrT=DataArrayDouble([-0.2,0.1,1.7,5.5,10.3]) + mT=MEDCouplingCMesh() ; mT.setCoords(arrT) + mT=mT.buildUnstructured() + rem=MEDCouplingRemapper() + rem.setIntersectionType(PointLocator) + self.assertEqual(rem.prepare(mS.buildUnstructured(),mT,"P1P1"),1) + m=rem.getCrudeCSRMatrix() + row=array([1,1,2,2,3,3]) + col=array([0,1,1,2,5,6]) + data=array([0.9,0.1,0.3,0.7,0.5,0.5]) + mExp2=csr_matrix((data,(row,col)),shape=(5,11)) + diff=abs(m-mExp2) + self.assertAlmostEqual(diff.sum(),0.,14) + ## basic case 2D Curve + arrS=DataArrayInt.Range(0,11,1).convertToDblArr() + arrT=DataArrayDouble([0.1,1.7,5.5,9.6]) + mS=MEDCouplingCMesh() ; mS.setCoords(arrS) + mT=MEDCouplingCMesh() ; mT.setCoords(arrT) + mS=mS.buildUnstructured() ; mS.changeSpaceDimension(2) + mT=mT.buildUnstructured() ; mT.changeSpaceDimension(2) + mS.rotate([-1.,-1.],1.2) + mT.rotate([-1.,-1.],1.2) + rem=MEDCouplingRemapper() + rem.setIntersectionType(PointLocator) + self.assertEqual(rem.prepare(mS,mT,"P1P1"),1) + m=rem.getCrudeCSRMatrix() + rowSum=m.sum(axis=1) + m=diags(array(1/rowSum.transpose()),[0])*m + diff=abs(m-mExp0) + self.assertAlmostEqual(diff.sum(),0.,14) + pass + + def test3D2Dand2D3DPointLocator1(self): + """ Non regression test solving SIGSEGV when using 3D<->3Dsurf pointlocator.""" + arrX=DataArrayDouble([0,1,2]) + arrY=DataArrayDouble([0,1]) + arrZ=DataArrayDouble([0,1]) + ms=MEDCouplingCMesh() ; ms.setCoords(arrX,arrY,arrZ) + ms=ms.buildUnstructured() ; ms.setName("source") + # + mt=MEDCouplingUMesh("target",2) ; mt.allocateCells() + mt.insertNextCell(NORM_TRI3,[0,4,6]) + mt.insertNextCell(NORM_TRI3,[1,5,7]) + mt.setCoords(ms.getCoords()[:]) + mt.zipCoords() + # + rem=MEDCouplingRemapper() + rem.setIntersectionType(PointLocator) + rem.prepare(ms,mt,"P0P0") + self.assertEqual(rem.getCrudeMatrix(),[{0: 1.0}, {1: 1.0}]) + rem2=MEDCouplingRemapper() + rem2.setIntersectionType(PointLocator) + ## + # 2D to 3D with point locator does not make sense: + ## + self.assertRaises(InterpKernelException, rem2.prepare,mt,ms,"P0P0") + pass + + def test2D1Dand1D2DPointLocator1(self): + arrX=DataArrayDouble([0,1,2]) + arrY=DataArrayDouble([0,1]) + ms=MEDCouplingCMesh() ; ms.setCoords(arrX,arrY) ; ms=ms.buildUnstructured() + mt=MEDCouplingUMesh("target",1) ; mt.setCoords(ms.getCoords()[:]) + mt.allocateCells() + mt.insertNextCell(NORM_SEG2,[0,4]) ; mt.insertNextCell(NORM_SEG2,[1,5]) + rem=MEDCouplingRemapper() + rem.setIntersectionType(PointLocator) + rem.prepare(ms,mt,"P0P0") + self.assertEqual(rem.getCrudeMatrix(),[{0:1.},{1:1.}]) + rem=MEDCouplingRemapper() + rem.setIntersectionType(PointLocator) + rem.prepare(mt,ms,"P0P0") + self.assertEqual(rem.getCrudeMatrix(),[{0:1.},{1:1.}]) + pass + + def test3D1DPointLocatorBBoxAdjusted(self): + """ In case a 1D segment lies exactly on the interface between two 2D (or 3D) faces, the default + bounding box logic will make it non-intersecting with the surrounding 2D (or 3D) faces. + Test bounding box adjustment allowing to widen the BB to capture this. + """ + m = MEDCouplingCMesh("source") + di, dd = DataArrayInt, DataArrayDouble + m.setCoordsAt(0, dd([0.0, 1.0, 2.0])) + m.setCoordsAt(1, dd([0.0, 1.0])) + m.setCoordsAt(2, dd([0.0, 1.0])) + m3d = m.buildUnstructured() + m1d = MEDCouplingUMesh("target", 1) + m1d.setCoords(dd([1.0,0.5,0.2 , 1.0,0.5,0.8], 2,3)) + m1d.setConnectivity(di([NORM_SEG2, 0, 1]), di([0,3])) + + rem = MEDCouplingRemapper() + rem.setPrecision(1e-12) + rem.setIntersectionType(PointLocator) + rem.prepare(m3d, m1d,"P0P1") + self.assertEqual(rem.getCrudeMatrix(), [{0: 1.0, 1: 1.0}, {0: 1.0, 1: 1.0}]) + + rem = MEDCouplingRemapper() + rem.setPrecision(1e-12) + rem.setIntersectionType(PointLocator) + rem.setBoundingBoxAdjustment(0.0) + rem.setBoundingBoxAdjustmentAbs(0.0) + rem.prepare(m3d, m1d,"P0P1") + self.assertEqual(rem.getCrudeMatrix(), [{}, {}]) + pass + + def testPointLocator3DTo2D(self): + """Target mesh has spaceDim==3 and meshDim==2. Source has spaceDim==3 and meshDim==3. Here we are on pointlocator alg. + The test evaluates on each nodes of target mesh the bary coor into source mesh.""" + src=MEDCouplingCMesh() + arr=DataArrayDouble([0,1,2]) + src.setCoords(arr,arr,arr) + src=src.buildUnstructured() + src.simplexize(PLANAR_FACE_5) + fsrc=MEDCouplingFieldDouble(ON_NODES) ; fsrc.setMesh(src) + fsrc.setArray(DataArrayDouble([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])) + # + trg=MEDCouplingCMesh() + arr=DataArrayDouble([0,1]) + trg.setCoords(arr,arr) + trg=trg.buildUnstructured() + trg.changeSpaceDimension(3,0.) + trg.translate([0.5,0.5,0.5]) + # + arrTrg=fsrc.getValueOnMulti(trg.getCoords()) + ftrg=MEDCouplingFieldDouble(ON_NODES) + ftrg.setMesh(trg) + ftrg.setArray(arrTrg) + ftrg.checkConsistencyLight() + ftrg.setNature(IntensiveMaximum) + # + fsrc.setNature(IntensiveMaximum) + remap=MEDCouplingRemapper() + remap.setIntersectionType(PointLocator) + self.assertEqual(remap.prepare(src,trg,"P1P1"),1) + ftrg2=remap.transferField(fsrc,1e300) + self.assertTrue(ftrg.isEqual(ftrg2,1e-12,1e-12)) + pass + + def testExtrudedOnDiffZLev1(self): + """Non regression bug : This test is base on P0P0 ExtrudedExtruded. This test checks that if the input meshes are not based on a same plane // OXY the interpolation works""" + arrX=DataArrayDouble([0,1]) ; arrY=DataArrayDouble([0,1]) ; arrZ=DataArrayDouble([0,1,2]) + src=MEDCouplingCMesh() ; src.setCoords(arrX,arrY,arrZ) + arrX=DataArrayDouble([0.5,1.5]) ; arrY=DataArrayDouble([0.5,1.5]) ; arrZ=DataArrayDouble([0.5,2]) + trg=MEDCouplingCMesh() ; trg.setCoords(arrX,arrY,arrZ) + # + src=MEDCouplingMappedExtrudedMesh(src) ; trg=MEDCouplingMappedExtrudedMesh(trg) + pt1=src.getMesh2D().getCoords().getHiddenCppPointer() ; pt2=trg.getMesh2D().getCoords().getHiddenCppPointer() + # + rem=MEDCouplingRemapper() + rem.prepare(src,trg,"P0P0") + self.checkMatrix(rem.getCrudeMatrix(),[{0:0.125,1:0.25}],src.getNumberOfCells(),1e-12) + # + self.assertEqual(src.getMesh2D().getSpaceDimension(),3) + self.assertEqual(trg.getMesh2D().getSpaceDimension(),3) + self.assertEqual(src.getMesh2D().getCoords().getHiddenCppPointer(),pt1) + self.assertEqual(trg.getMesh2D().getCoords().getHiddenCppPointer(),pt2) + # + rem2=MEDCouplingRemapper() + rem2.setIntersectionType(Geometric2D) + rem2.prepare(src,trg,"P0P0") + self.checkMatrix(rem2.getCrudeMatrix(),[{0:0.125,1:0.25}],src.getNumberOfCells(),1e-12) + pass + + def testP0P0WithHEXGP12(self): + """ Test that HEXGP12 are correctly remapped (elements with polygonal faces were not properly handled) """ + # From Astrid, two disjoint hexagonal prisms: + coo1 = [-4.991193077144312, 8.644999999999998, 0.0, -9.982386154288623, 6.112246755425186e-16, 0.0, -4.991193077144315, -8.644999999999998, 0.0, 4.991193077144309, -8.645000000000005, 0.0, 9.982386154288626, 1.1651321638577316e-15, 0.0, 4.991193077144314, 8.645, 0.0, -4.991193077144312, 8.644999999999998, 7.561799999999991, -9.982386154288623, 6.112246755425186e-16, 7.561799999999991, -4.991193077144315, -8.644999999999998, 7.561799999999991, 4.991193077144309, -8.645000000000005, 7.561799999999991, 9.982386154288626, 1.1651321638577316e-15, 7.561799999999991, 4.991193077144314, 8.645, 7.561799999999991] + coo2 = [-4.991193077144313, -8.645, 0.0, -9.982386154288626, -1.3992140779350848e-15, 0.0, -19.964772308577256, 0.0, 0.0, -24.95596538572157, -8.644999999999998, 0.0, -19.96477230857726, -17.289999999999996, 0.0, -9.982386154288626, -17.289999999999996, 0.0, -4.991193077144313, -8.645, 5.041200000000004, -9.982386154288626, -1.3992140779350848e-15, 5.041200000000004, -19.964772308577256, 0.0, 5.041200000000004, -24.95596538572157, -8.644999999999998, 5.041200000000004, -19.96477230857726, -17.289999999999996, 5.041200000000004, -9.982386154288626, -17.289999999999996, 5.041200000000004] + conn1 = [31, 0, 5, 4, 3, 2, 1, -1, 11, 6, 7, 8, 9, 10, -1, 1, 7, 6, 0, -1, 2, 8, 7, 1, -1, 3, 9, 8, 2, -1, 4, 10, 9, 3, -1, 5, 11, 10, 4, -1, 0, 6, 11, 5] + cI1 = [0, 44] + conn2 = [31, 0, 5, 4, 3, 2, 1, -1, 6, 7, 8, 9, 10, 11, -1, 0, 1, 7, 6, -1, 1, 2, 8, 7, -1, 2, 3, 9, 8, -1, 3, 4, 10, 9, -1, 4, 5, 11, 10, -1, 5, 0, 6, 11] + cI2 = [0, 44] + mTgt = MEDCouplingUMesh("target", 3) + mSrc = MEDCouplingUMesh("src", 3) + mTgt.setCoords(DataArrayDouble(coo1, len(coo1) // 3, 3)) + mSrc.setCoords(DataArrayDouble(coo2, len(coo2) // 3, 3)) + mTgt.setConnectivity(DataArrayInt(conn1), DataArrayInt(cI1)) + mSrc.setConnectivity(DataArrayInt(conn2), DataArrayInt(cI2)) + + # Recognize the HEXGP12: + mTgt.unPolyze() + mSrc.unPolyze() + + rmp = MEDCouplingRemapper() + rmp.setIntersectionType(Triangulation) + rmp.prepare(mSrc, mTgt, "P0P0") + mat = rmp.getCrudeMatrix() + self.assertEqual(len(mat[0]), 0) + self.assertEqual(len(mat), 1) + pass + + def testP0P0KillerTet(self): + """ The killer tetrahedron detected by LMEC!""" + mesh = MEDCouplingUMesh('SupportOf_ECHIA1_Tin', 3) +# # was OK: +# coo = DataArrayDouble([(-4.50135,1.95352,4.59608),(-4.50409,1.86642,4.54551), (-4.55175,1.92167,4.64844),(-4.58813,1.94795,4.5283)]) + # was KO: + coo = DataArrayDouble([(-4.501352938826142847,1.953517433537110159,4.596082552008083688),(-4.504092113061189728,1.866415526007169978,4.545507396150389567),(-4.551750368181751050,1.921669328035479962,4.648439577911889664),(-4.588131417812300050,1.947948377683889953,4.528298931319220344)]) + mesh.setCoords(coo) + c = DataArrayInt([14, 2, 0, 3, 1]); cI = DataArrayInt([0, 5]) + mesh.setConnectivity(c, cI) + mesh_src, mesh_tgt = mesh.deepCopy(), mesh.deepCopy() + field_src = mesh_src.fillFromAnalytic(ON_CELLS, 1, "1") + field_src.setNature(IntensiveMaximum) + rmp = MEDCouplingRemapper() + rmp.setIntersectionType(Triangulation) + rmp.prepare(mesh_src, mesh_tgt, "P0P0") + self.assertEqual(1, len(rmp.getCrudeMatrix())) + self.assertEqual(1, len(rmp.getCrudeMatrix()[0])) + pass + + @unittest.skipUnless(MEDCouplingHasNumPyBindings() and MEDCouplingHasSciPyBindings(),"requires numpy AND scipy AND C++11") + def testP1P1PL3DSpaceFrom1DTo0D(self): + from scipy.sparse import csr_matrix + from numpy import array + + def generateTrg(eps): + trgArr=DataArrayDouble([(0.5,0.5,0.5),(0.2,0.2,0.2),(0.9,0.9,0.9),(0.7+eps*sqrt(3),0.7-eps*sqrt(3),0.7)]) + trg=MEDCouplingUMesh("trg",0) ; trg.setCoords(trgArr) + trg.allocateCells() + RenumTrg=[2,3,0,1] + for rt in RenumTrg: + trg.insertNextCell(NORM_POINT1,[rt]) + return trg + + srcArr=DataArrayDouble([(0.,0.,1.),(0.,0.,0.),(1.,1.,1.)]) + src=MEDCouplingUMesh("src",1) ; src.setCoords(srcArr) + src.allocateCells() + src.insertNextCell(NORM_SEG2,[1,2]) + # + trg=generateTrg(1e-7)# trg point 3 of trg cell 1 is NOT closer enough to source edge #1 -> not intercepted + # + rem=MEDCouplingRemapper() + rem.setIntersectionType(PointLocator) + self.assertEqual(rem.prepare(src,trg,"P1P1"),1) + mat=rem.getCrudeCSRMatrix() + row=array([2,2, 0,0, 1,1]) # here no ref to point 3 ! + col=array([1,2, 1,2, 1,2]) + data=array([0.1,0.9, 0.5,0.5, 0.8,0.2]) + mExp=csr_matrix((data,(row,col)),shape=(4,3)) + delta=abs(mExp-mat) + self.assertAlmostEqual(delta.sum(),0.,14) + # + trg=generateTrg(1e-14) # trg point 3 of trg cell 1 is closer enough to source edge #1 -> intercepted + rem=MEDCouplingRemapper() + rem.setIntersectionType(PointLocator) + self.assertEqual(rem.prepare(src,trg,"P1P1"),1) + mat=rem.getCrudeCSRMatrix() + row=array([2,2, 3,3, 0,0, 1,1]) # here ref to target point 3 + col=array([1,2, 1,2, 1,2, 1,2]) + data=array([0.1,0.9, 0.3,0.7, 0.5,0.5, 0.8,0.2]) + mExp2=csr_matrix((data,(row,col)),shape=(4,3)) + delta2=abs(mExp2-mat) + self.assertAlmostEqual(delta2.sum(),0.,14) + pass + + def testSetMatrix1(self): + """ Remapper has now setCrudeMatrix method to reload matrix to skip prepare phase """ + cooS=DataArrayDouble([1,1, 7,1, 7,2, 1,2],4,2) + cooT=DataArrayDouble([0,0, 3,0, 3,3, 0,3, 6,0, 12,0, 12,3, 6,3],8,2) + ms=MEDCouplingUMesh("source",2) ; ms.allocateCells(1) ; ms.insertNextCell(NORM_QUAD4,[0,1,2,3]) ; ms.setCoords(cooS) + mt=MEDCouplingUMesh("target",2) ; mt.allocateCells(2) ; mt.insertNextCell(NORM_QUAD4,[0,1,2,3]) ; mt.insertNextCell(NORM_QUAD4,[4,5,6,7]) ; mt.setCoords(cooT) + rem=MEDCouplingRemapper() + self.assertEqual(rem.prepare(ms,mt,"P0P0"),1) # [{0: 2.0}, {0: 1.0}] + fs=MEDCouplingFieldDouble(ON_CELLS) + fs.setMesh(ms) + fs.setArray(DataArrayDouble([10])) + fs.checkConsistencyLight() + # + fs.setNature(ExtensiveConservation) + self.assertTrue(rem.transferField(fs,1e300).getArray().isEqual(DataArrayDouble([20./3,10./3.]),1e-12))# sum is equal to 10. First value is twice than second value + # + fs.setNature(ExtensiveMaximum) + self.assertTrue(rem.transferField(fs,1e300).getArray().isEqual(DataArrayDouble([20./6.,10./6.]),1e-12))#sum is equal to 5 (10/2. because only half part on input cell is intercepted by the target cells). First value is twice than second value + # + fs.setNature(IntensiveConservation) + self.assertTrue(rem.transferField(fs,1e300).getArray().isEqual(DataArrayDouble([2./9.*10.,1./18.*10.]),1e-12))# + # + fs.setNature(IntensiveMaximum) + self.assertTrue(rem.transferField(fs,1e300).getArray().isEqual(DataArrayDouble([10.,10.]),1e-12))# + #### + rem2=MEDCouplingRemapper() + rem2.setCrudeMatrix(ms,mt,"P0P0",rem.getCrudeMatrix()) + fs.setNature(ExtensiveConservation) + self.assertTrue(rem2.transferField(fs,1e300).getArray().isEqual(DataArrayDouble([20./3,10./3.]),1e-12)) + # + fs.setNature(ExtensiveMaximum) + self.assertTrue(rem2.transferField(fs,1e300).getArray().isEqual(DataArrayDouble([20./6.,10./6.]),1e-12)) + # + fs.setNature(IntensiveConservation) + self.assertTrue(rem2.transferField(fs,1e300).getArray().isEqual(DataArrayDouble([2./9.*10.,1./18.*10.]),1e-12)) + # + fs.setNature(IntensiveMaximum) + self.assertTrue(rem2.transferField(fs,1e300).getArray().isEqual(DataArrayDouble([10.,10.]),1e-12)) + # + srcFt=MEDCouplingFieldTemplate.New(ON_CELLS); + trgFt=MEDCouplingFieldTemplate.New(ON_CELLS); + srcFt.setMesh(ms); + trgFt.setMesh(mt); + rem3=MEDCouplingRemapper() + rem3.setCrudeMatrixEx(srcFt,trgFt,rem.getCrudeMatrix()) + fs.setNature(ExtensiveConservation) + self.assertTrue(rem3.transferField(fs,1e300).getArray().isEqual(DataArrayDouble([20./3,10./3.]),1e-12)) + pass + + @unittest.skipUnless(MEDCouplingHasNumPyBindings() and MEDCouplingHasSciPyBindings(),"requires numpy AND scipy") + def testSetMatrix2(self): + """ Remapper has now setCrudeMatrix method to reload matrix to skip prepare phase. Same as testSetMatrix1 but with CSR scipy matrix """ + arrx_s=DataArrayDouble(6) ; arrx_s.iota() + arry_s=DataArrayDouble(6) ; arry_s.iota() + ms=MEDCouplingCMesh() ; ms.setCoords(arrx_s,arry_s) + ms=ms.buildUnstructured() + # + arrx_t=DataArrayDouble([2.5,4.5,5.5]) + arry_t=DataArrayDouble([2.5,3.5,5.5]) + mt=MEDCouplingCMesh() ; mt.setCoords(arrx_t,arry_t) + mt=mt.buildUnstructured() + # + rem=MEDCouplingRemapper() + self.assertEqual(rem.prepare(ms,mt,"P0P0"),1) + # + fs=MEDCouplingFieldDouble(ON_CELLS) + fs.setMesh(ms) + arr=DataArrayDouble(25) ; arr.iota() + fs.setArray(arr) + fs.checkConsistencyLight() + # + fs.setNature(ExtensiveConservation) + self.assertTrue(rem.transferField(fs,1e300).getArray().isEqual(DataArrayDouble([54.25,11.75,79.25,16.75]),1e-12)) + mat=rem.getCrudeCSRMatrix() + rem2=MEDCouplingRemapper() + rem2.setCrudeMatrix(ms,mt,"P0P0",mat) + self.assertTrue(rem2.transferField(fs,1e300).getArray().isEqual(DataArrayDouble([54.25,11.75,79.25,16.75]),1e-12)) + pass + + def testSmallTetraCell(self): + """This test is a non regression test. When using tetra/tetra P0P0 interpolation on very small cells the + 3x3 matrix in the TetraAffine contains very small values and so the determinant is small (cubic). + So the tetra was detected as flat. Now the infinite norm of matrix is considered to establish if matrix is inversible or not.""" + coords = [(-0.019866666666666668, 0.02, 0.002), (-0.020000073463967143, 0.019999926535763005, 0.0018666666666666673), (-0.020000073463967143, 0.019999926535763005, 0.002), (-0.020000072974206463, 0.019866593202430387, 0.002)] + m=MEDCouplingUMesh("mesh",3) + m.allocateCells() + m.insertNextCell(NORM_TETRA4,[0,1,2,3]) + m.setCoords(DataArrayDouble(coords)) + rem=MEDCouplingRemapper() + rem.setPrecision(1e-12) + rem.prepare(m,m,"P0P0") + mat=rem.getCrudeMatrix() + self.assertTrue(len(mat)==1) + self.assertTrue(len(mat[0])==1) + self.assertTrue(list(mat[0].keys())==[0]) + res=list(mat[0].values())[0] + ref=float(m.getMeasureField(True).getArray()) + self.assertTrue(abs(res-ref)/ref<1e-12) + pass + + def checkMatrix(self,mat1,mat2,nbCols,eps): + self.assertEqual(len(mat1),len(mat2)) + for i in range(len(mat1)): + self.assertTrue(max(mat2[i].keys())=0) + self.assertTrue(min(mat1[i].keys())>=0) + s1=set(mat1[i].keys()) ; s2=set(mat2[i].keys()) + for elt in s1.intersection(s2): + self.assertTrue(abs(mat1[i][elt]-mat2[i][elt])