# -*- coding: iso-8859-1 -*-
-# Copyright (C) 2007-2016 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
vals*=1e-5
eps0=DataArrayDouble(m0.data)-vals ; eps0.abs()
self.assertTrue(eps0.findIdsInRange(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])))
+ 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")
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)
+ indptr=DataArrayInt32(mat.indptr) #not depend on MEDCouplingUse64BitIDs()
indptr2=indptr.deltaShiftIndex()
cellIdsOfNonConformCells=indptr2.findIdsNotEqual(1)
cellIdsOfSkin=indptr2.findIdsEqual(1)
self.assertEqual(rem.getCrudeMatrix(),[{0: 1.0}, {1: 1.0}])
rem2=MEDCouplingRemapper()
rem2.setIntersectionType(PointLocator)
- rem2.prepare(mt,ms,"P0P0") # reverse mt<->ms
- self.assertEqual(rem2.getCrudeMatrix(),[{0: 1.0}, {1: 1.0}])
+ ##
+ # 2D to 3D with point locator does not make sense:
+ ##
+ self.assertRaises(InterpKernelException, rem2.prepare,mt,ms,"P0P0")
pass
def test2D1Dand1D2DPointLocator1(self):
self.assertEqual(1, len(rmp.getCrudeMatrix()[0]))
pass
- @unittest.skipUnless(MEDCouplingHasNumPyBindings() and MEDCouplingHasSciPyBindings() and IsCXX11Compiled(),"requires numpy AND scipy AND C++11")
+ @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
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
+ 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))
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)):
