Spread and condense on cell fields on images meshes with ghost management in 1D and 2D.

[tools/medcoupling.git] / src / MEDCoupling_Swig / MEDCouplingRemapperTest.py

diff --git a/src/MEDCoupling_Swig/MEDCouplingRemapperTest.py b/src/MEDCoupling_Swig/MEDCouplingRemapperTest.py
index 72f92c59ee7587d1995dfdf1eefa484d8dc6eb33..44b0f8bd399674ba33bb3df3185dee4b7b90e099 100644 (file)
--- a/src/MEDCoupling_Swig/MEDCouplingRemapperTest.py
+++ b/src/MEDCoupling_Swig/MEDCouplingRemapperTest.py
@@ -765,7 +765,7 @@ class MEDCouplingBasicsTest(unittest.TestCase):
         """ 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(coarse,[5,7],fine,[(1,4),(2,4)],[4,4])
+        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()