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Spread and condense on cell fields on images meshes with ghost management in 1D and 2D.
[tools/medcoupling.git] / src / MEDCoupling_Swig / MEDCouplingBasicsTest.py
index 25fe05512bc237adae02255148f5c3630ebe24c3..f96bc4d480a0164254e8b22ec67a001c610237ca 100644 (file)
@@ -14861,7 +14861,7 @@ class MEDCouplingBasicsTest(unittest.TestCase):
         self.assertTrue(m2bis.isEqual(m2,1e-12))
         #
         self.assertEqual(6,m2bis.getNumberOfCells())#3,2,4
-        m2bis.refineWithFactor(3)
+        m2bis.refineWithFactor([3,3,3])
         self.assertEqual(162,m2bis.getNumberOfCells())
         self.assertEqual((7,4,10),m2bis.getNodeStruct())
         self.assertEqual((1.5,3.5,2.5),m2bis.getOrigin())
@@ -14946,33 +14946,33 @@ class MEDCouplingBasicsTest(unittest.TestCase):
         self.assertEqual(0,amr.getNumberOfPatches())
         self.assertEqual(1,amr.getMaxNumberOfLevelsRelativeToThis())
         self.assertEqual(2,amr.getSpaceDimension())
-        amr.addPatch([(1,2),(0,1)],4)
+        amr.addPatch([(1,2),(0,1)],[4,4])
         self.assertEqual(4,amr.getNumberOfCellsAtCurrentLevel())
         self.assertEqual(20,amr.getNumberOfCellsRecursiveWithOverlap())
         self.assertEqual(19,amr.getNumberOfCellsRecursiveWithoutOverlap())
         self.assertEqual(1,amr.getNumberOfPatches())
         self.assertEqual(2,amr.getMaxNumberOfLevelsRelativeToThis())
         self.assertEqual(2,amr.getSpaceDimension())
-        amr[0].addPatch([(2,3),(1,3)],2)
+        amr[0].addPatch([(2,3),(1,3)],[3,2])
         self.assertEqual(amr[0].getBLTRRange(),[(1,2),(0,1)])
         self.assertEqual(4,amr.getNumberOfCellsAtCurrentLevel())
-        self.assertEqual(28,amr.getNumberOfCellsRecursiveWithOverlap())
-        self.assertEqual(25,amr.getNumberOfCellsRecursiveWithoutOverlap())
+        self.assertEqual(32,amr.getNumberOfCellsRecursiveWithOverlap())
+        self.assertEqual(29,amr.getNumberOfCellsRecursiveWithoutOverlap())
         self.assertEqual(1,amr.getNumberOfPatches())
         self.assertEqual(3,amr.getMaxNumberOfLevelsRelativeToThis())
         self.assertEqual(2,amr.getSpaceDimension())
-        amr[0].addPatch([(0,2),(3,4)],3)
+        amr[0].addPatch([(0,2),(3,4)],[3,2])
         self.assertEqual(16,amr[0].getMesh().getNumberOfCellsAtCurrentLevel())
-        self.assertEqual(46,amr.getNumberOfCellsRecursiveWithOverlap())
-        self.assertEqual(41,amr.getNumberOfCellsRecursiveWithoutOverlap())
+        self.assertEqual(44,amr.getNumberOfCellsRecursiveWithOverlap())
+        self.assertEqual(39,amr.getNumberOfCellsRecursiveWithoutOverlap())
         self.assertEqual(2,amr[0].getMesh().getNumberOfPatches())
         self.assertEqual(3,amr.getMaxNumberOfLevelsRelativeToThis())
         self.assertEqual(2,amr.getSpaceDimension())
         del amr[0][1]
         self.assertEqual(amr[0].getBLTRRange(),[(1,2),(0,1)])
         self.assertEqual(4,amr.getNumberOfCellsAtCurrentLevel())
-        self.assertEqual(28,amr.getNumberOfCellsRecursiveWithOverlap())
-        self.assertEqual(25,amr.getNumberOfCellsRecursiveWithoutOverlap())
+        self.assertEqual(32,amr.getNumberOfCellsRecursiveWithOverlap())
+        self.assertEqual(29,amr.getNumberOfCellsRecursiveWithoutOverlap())
         self.assertEqual(1,amr.getNumberOfPatches())
         self.assertEqual(3,amr.getMaxNumberOfLevelsRelativeToThis())
         self.assertEqual(2,amr.getSpaceDimension())
@@ -15080,8 +15080,88 @@ class MEDCouplingBasicsTest(unittest.TestCase):
         """ Test condensation of fine IMesh instance into a coarse one, with a factor. See testRemapperAMR1 in MEDCouplingRemapperTest.py file to see how the expected value is obtained."""
         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(coarse,[5,7],fine,[(1,4),(2,4)])
+        MEDCouplingIMesh.CondenseFineToCoarse([5,7],fine,[(1,4),(2,4)],[4,4],coarse)
         self.assertTrue(coarse.isEqual(DataArrayDouble([0,1,2,3,4,5,6,7,8,9,10,312,376,440,14,15,1080,1144,1208,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34]),1e-12))
+        # 3D
+        coarse=DataArrayDouble(175) ; coarse.iota(0) #X=5,Y=7,Z=5
+        fine=DataArrayDouble(3*2*3*4*4*4) ; fine.iota(0) #X=3,Y=2,Z=3 refined by 4
+        MEDCouplingIMesh.CondenseFineToCoarse([5,7,5],fine,[(1,4),(2,4),(1,4)],[4,4,4],coarse)
+        self.assertTrue(coarse.isEqual(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.,27.,28.,29.,30.,31.,32.,33.,34.,35.,36.,37.,38.,39.,40.,41.,42.,43.,44.,45.,10464.,10720.,10976.,49.,50.,13536.,13792.,14048.,54.,55.,56.,57.,58.,59.,60.,61.,62.,63.,64.,65.,66.,67.,68.,69.,70.,71.,72.,73.,74.,75.,76.,77.,78.,79.,80.,35040.,35296.,35552.,84.,85.,38112.,38368.,38624.,89.,90.,91.,92.,93.,94.,95.,96.,97.,98.,99.,100.,101.,102.,103.,104.,105.,106.,107.,108.,109.,110.,111.,112.,113.,114.,115.,59616.,59872.,60128.,119.,120.,62688.,62944.,63200.,124.,125.,126.,127.,128.,129.,130.,131.,132.,133.,134.,135.,136.,137.,138.,139.,140.,141.,142.,143.,144.,145.,146.,147.,148.,149.,150.,151.,152.,153.,154.,155.,156.,157.,158.,159.,160.,161.,162.,163.,164.,165.,166.,167.,168.,169.,170.,171.,172.,173.,174.]),1e-12))
+        # 1D
+        coarse=DataArrayDouble(5) ; coarse.iota(0) #X=5
+        fine=DataArrayDouble(3*4) ; fine.iota(0) #X=3 refined by 4
+        MEDCouplingIMesh.CondenseFineToCoarse([5],fine,[(1,4)],[4],coarse)
+        self.assertTrue(coarse.isEqual(DataArrayDouble([0,6,22,38,4]),1e-12))
+        pass
+
+    def testAMR3(self):
+        """ Test spread of coarse IMesh instance into a fine one, with a factor."""
+        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.SpreadCoarseToFine(coarse,[5,7],fine,[(1,4),(2,4)],[4,4])
+        self.assertTrue(fine.isEqual(DataArrayDouble([11.,11.,11.,11.,12.,12.,12.,12.,13.,13.,13.,13.,11.,11.,11.,11.,12.,12.,12.,12.,13.,13.,13.,13.,11.,11.,11.,11.,12.,12.,12.,12.,13.,13.,13.,13.,11.,11.,11.,11.,12.,12.,12.,12.,13.,13.,13.,13.,16.,16.,16.,16.,17.,17.,17.,17.,18.,18.,18.,18.,16.,16.,16.,16.,17.,17.,17.,17.,18.,18.,18.,18.,16.,16.,16.,16.,17.,17.,17.,17.,18.,18.,18.,18.,16.,16.,16.,16.,17.,17.,17.,17.,18.,18.,18.,18.]),1e-12))
+        # 3D
+        coarse=DataArrayDouble(175) ; coarse.iota(0) #X=5,Y=7,Z=5
+        fine=DataArrayDouble(3*2*3*4*4*4) ; fine.iota(0) #X=3,Y=2,Z=3 refined by 4
+        MEDCouplingIMesh.SpreadCoarseToFine(coarse,[5,7,5],fine,[(1,4),(2,4),(1,4)],[4,4,4])
+        self.assertTrue(fine.isEqual(DataArrayDouble([46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,46.,46.,46.,46.,47.,47.,47.,47.,48.,48.,48.,48.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,51.,51.,51.,51.,52.,52.,52.,52.,53.,53.,53.,53.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,81.,81.,81.,81.,82.,82.,82.,82.,83.,83.,83.,83.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,86.,86.,86.,86.,87.,87.,87.,87.,88.,88.,88.,88.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,116.,116.,116.,116.,117.,117.,117.,117.,118.,118.,118.,118.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.,121.,121.,121.,121.,122.,122.,122.,122.,123.,123.,123.,123.]),1e-12))
+        f=MEDCouplingFieldDouble(ON_CELLS) ; f.setMesh(MEDCouplingIMesh("",3,DataArrayInt([6,8,6]),[0.,0.,0.],DataArrayDouble((1.,1.,1.)))) ; f.setArray(coarse) ; f.setName("tutu") ; f.checkCoherency()
+        f=MEDCouplingFieldDouble(ON_CELLS) ; f.setMesh(MEDCouplingIMesh("",3,DataArrayInt([13,9,13]),[1.,2.,1.],DataArrayDouble((0.25,0.25,0.25)))) ; f.setArray(fine) ; f.setName("tutu") ; f.checkCoherency()
+        # 1D
+        coarse=DataArrayDouble(5) ; coarse.iota(0) #X=5
+        fine=DataArrayDouble(3*4) ; fine.iota(0) #X=3 refined by 4
+        MEDCouplingIMesh.SpreadCoarseToFine(coarse,[5],fine,[(1,4)],[4])
+        self.assertTrue(fine.isEqual(DataArrayDouble([1.,1.,1.,1.,2.,2.,2.,2.,3.,3.,3.,3.]),1e-12))
+        pass
+
+    def testAMR4(self):
+        """This test focuses on MEDCouplingCartesianAMRMesh.createPatchesFromCriterion method. To test it a field containing 0 everywhere except in the annulus (centered on the center of the mesh) value is 1."""
+        im=MEDCouplingIMesh("mesh",2,[51,51],[0.,0.],[0.04,0.04])
+        b=im.getBarycenterAndOwner() ; b-=[1.,1.] ; b=b.magnitude()
+        ids=b.getIdsInRange(0.4,0.7)
+        f=MEDCouplingFieldDouble(ON_CELLS) ; f.setMesh(im) ; f.setName("toto") ; arr=DataArrayDouble(im.getNumberOfCells()) ; arr[:]=0. ; arr[ids]=1. ; f.setArray(arr)
+        # f.write("test.vti")
+        amr=MEDCouplingCartesianAMRMesh("mesh",2,[51,51],[0.,0.],[0.04,0.04])
+        arr2=DataArrayByte(im.getNumberOfCells()) ; arr2[:]=0 ; arr2[ids]=1
+        bso=BoxSplittingOptions() ; bso.setEffeciency(0.8) ; bso.setEffeciencySnd(0.8) ; bso.setMaxCells(1000) ; bso.setMinCellDirection(3)
+        amr.createPatchesFromCriterion(bso,arr2,[2,2])
+        self.assertEqual(18,amr.getNumberOfPatches())
+        exp0=[[(8,14),(19,38)],[(19,31),(8,17)],[(19,31),(33,42)],[(10,14),(12,16)],[(9,14),(16,19)],[(14,19),(9,19)],[(14,17),(19,22)],[(14,19),(31,41)],[(36,42),(19,38)],[(14,15),(22,28)],[(14,17),(28,31)],[(31,36),(9,19)],[(33,36),(19,22)],[(31,36),(31,41)],[(36,40),(12,16)],[(36,41),(16,19)],[(35,36),(22,28)],[(33,36),(28,31)]]
+        for i,bltr in enumerate(exp0):
+            self.assertEqual(amr[i].getBLTRRange(),bltr)
+            pass
+        m=amr.buildMeshFromPatchEnvelop()
+        self.assertTrue(m.getNodalConnectivity().isEqual(DataArrayInt([1,0,2,3,5,4,6,7,9,8,10,11,13,12,14,15,17,16,18,19,21,20,22,23,25,24,26,27,29,28,30,31,33,32,34,35,37,36,38,39,41,40,42,43,45,44,46,47,49,48,50,51,53,52,54,55,57,56,58,59,61,60,62,63,65,64,66,67,69,68,70,71])))
+        self.assertTrue(m.getCoords().isEqualWithoutConsideringStr(DataArrayDouble([0.32,0.76,0.56,0.76,0.32,1.52,0.56,1.52,0.76,0.32,1.24,0.32,0.76,0.68,1.24,0.68,0.76,1.32,1.24,1.32,0.76,1.68,1.24,1.68,0.4,0.48,0.56,0.48,0.4,0.64,0.56,0.64,0.36,0.64,0.56,0.64,0.36,0.76,0.56,0.76,0.56,0.36,0.76,0.36,0.56,0.76,0.76,0.76,0.56,0.76,0.68,0.76,0.56,0.88,0.68,0.88,0.56,1.24,0.76,1.24,0.56,1.64,0.76,1.64,1.44,0.76,1.68,0.76,1.44,1.52,1.68,1.52,0.56,0.88,0.6,0.88,0.56,1.12,0.6,1.12,0.56,1.12,0.68,1.12,0.56,1.24,0.68,1.24,1.24,0.36,1.44,0.36,1.24,0.76,1.44,0.76,1.32,0.76,1.44,0.76,1.32,0.88,1.44,0.88,1.24,1.24,1.44,1.24,1.24,1.64,1.44,1.64,1.44,0.48,1.6,0.48,1.44,0.64,1.6,0.64,1.44,0.64,1.64,0.64,1.44,0.76,1.64,0.76,1.4,0.88,1.44,0.88,1.4,1.12,1.44,1.12,1.32,1.12,1.44,1.12,1.32,1.24,1.44,1.24],72,2),1e-12))
+        #
+        self.assertEqual(MEDCouplingStructuredMesh.ChangeReferenceToGlobalOfCompactFrmt([(8,32),(4,17)],[(0,24),(2,12)]),[(8,32),(6,16)])
+        self.assertEqual(MEDCouplingStructuredMesh.ChangeReferenceFromGlobalOfCompactFrmt([(8,32),(4,17)],[(8,32),(6,16)]),[(0,24),(2,12)])
+        self.assertTrue(amr.getImageMesh().isEqual(im,1e-12))
+        m=amr.getImageMesh().asSingleCell().build1SGTUnstructured()
+        self.assertTrue(m.getNodalConnectivity().isEqual(DataArrayInt([1,0,2,3])))
+        self.assertTrue(m.getCoords().isEqualWithoutConsideringStr(DataArrayDouble([(0,0),(2,0),(0,2),(2,2)]),1e-12))
+        pass
+
+    def testAMR5(self):
+        """ Idem testAMR3, test spread of coarse IMesh instance into a fine one, with a factor, but here ghost is used !"""
+        # 1D
+        coarse=DataArrayDouble(5+2) ; coarse.iota(-1) #X=5 with ghostLev=1
+        fine=DataArrayDouble(3*4+2) ; fine.iota(1000) #X=3 refined by 4 with ghostLev=1
+        MEDCouplingIMesh.SpreadCoarseToFineGhost(coarse,[5],fine,[(1,4)],[4],1)
+        self.assertTrue(fine.isEqual(DataArrayDouble([0,1,1,1,1,2,2,2,2,3,3,3,3,4]),1e-12))
+        coarse.iota(-1000)
+        MEDCouplingIMesh.CondenseFineToCoarseGhost([5],fine,[(1,4)],[4],coarse,1)
+        self.assertTrue(coarse.isEqual(DataArrayDouble([-1000.,-999.,4.,8.,12.,-995.,-994.]),1e-12))
+        # 2D
+        coarse=DataArrayDouble((5+2*1)*(7+2*1)) ; coarse.iota(0) #X=5,Y=7 with ghostLev=1
+        fine=DataArrayDouble((3*4+2*1)*(2*4+2*1)) ; fine.iota(1000) #X=3,Y=2 refined by 4
+        MEDCouplingIMesh.SpreadCoarseToFineGhost(coarse,[5,7],fine,[(1,4),(2,4)],[4,4],1)
+        self.assertTrue(fine.isEqual(DataArrayDouble([15.,16.,16.,16.,16.,17.,17.,17.,17.,18.,18.,18.,18.,19.,22.,23.,23.,23.,23.,24.,24.,24.,24.,25.,25.,25.,25.,26.,22.,23.,23.,23.,23.,24.,24.,24.,24.,25.,25.,25.,25.,26.,22.,23.,23.,23.,23.,24.,24.,24.,24.,25.,25.,25.,25.,26.,22.,23.,23.,23.,23.,24.,24.,24.,24.,25.,25.,25.,25.,26.,29.,30.,30.,30.,30.,31.,31.,31.,31.,32.,32.,32.,32.,33.,29.,30.,30.,30.,30.,31.,31.,31.,31.,32.,32.,32.,32.,33.,29.,30.,30.,30.,30.,31.,31.,31.,31.,32.,32.,32.,32.,33.,29.,30.,30.,30.,30.,31.,31.,31.,31.,32.,32.,32.,32.,33.,36.,37.,37.,37.,37.,38.,38.,38.,38.,39.,39.,39.,39.,40.]),1e-12))
+        f=MEDCouplingFieldDouble(ON_CELLS) ; f.setMesh(MEDCouplingIMesh("",2,DataArrayInt([8,10]),[0.,0.],DataArrayDouble((1.,1.)))) ; f.setArray(coarse) ; f.setName("tutu") ; f.checkCoherency() ; f.writeVTK("coarse.vti")
+        coarse.iota(-1000)
+        MEDCouplingIMesh.CondenseFineToCoarseGhost([5,7],fine,[(1,4),(2,4)],[4,4],coarse,1)
+        f=MEDCouplingFieldDouble(ON_CELLS) ; f.setMesh(MEDCouplingIMesh("",2,DataArrayInt([8,10]),[0.,0.],DataArrayDouble((1.,1.)))) ; f.setArray(coarse) ; f.setName("tutu") ; f.checkCoherency() ; f.writeVTK("coarse.vti")
+        self.assertTrue(coarse.isEqual(DataArrayDouble([-1000.,-999.,-998.,-997.,-996.,-995.,-994.,-993.,-992.,-991.,-990.,-989.,-988.,-987.,-986.,-985.,-984.,-983.,-982.,-981.,-980.,-979.,-978.,368.,384.,400.,-974.,-973.,-972.,-971.,480.,496.,512.,-967.,-966.,-965.,-964.,-963.,-962.,-961.,-960.,-959.,-958.,-957.,-956.,-955.,-954.,-953.,-952.,-951.,-950.,-949.,-948.,-947.,-946.,-945.,-944.,-943.,-942.,-941.,-940.,-939.,-938.]),1e-12))
         pass
 
     def setUp(self):