from math import pi,e,sqrt,cos,sin
from datetime import datetime
from MEDCouplingDataForTest import MEDCouplingDataForTest
-import rlcompleter,readline # this line has to be here, ot ensure a usability of MEDCoupling/MEDLoader. B4 removing it please notify to anthony.geay@cea.fr
+import rlcompleter,readline # this line has to be here, to ensure a usability of MEDCoupling/MEDLoader. B4 removing it please notify to anthony.geay@cea.fr
class MEDCouplingBasicsTest(unittest.TestCase):
def testArray2(self):
self.assertRaises(InterpKernelException,p2.invertArrayN2O2O2N,10)
pass
+ def testSwig2ComputeEffectiveNbOfNodesPerCell1(self):
+ coords=DataArrayDouble([ 0.241310763507 , 0.0504777305619 , 0.0682283524903 , 0.252501053866 , -0.0625176732937 , 0.137272639894 ,
+ 0.152262663601 , 0.241816569527 , 0.133812556197 , 0.18047750211 , -0.0789949051358 , 0.339098173401 ,
+ 0.151741971857 , 0.238885278571 , 0.137715037333 , 0.242532155481 , -0.0928169086456 , 0.0678043417367 ,
+ 0.240941965335 , -0.015461491464 , 0.0617186345825 , 0.24127650112 , 0.0499427876717 , 0.0679634099148 ,
+ -0.145828917428 , 0.206291632565 , 0.0310071927543 , 0.0125651775307 , 0.266262085828 , 0.105228430543 ,
+ -0.0994066533286 , 0.233224271238 , 0.0572213839567 , -0.0951345338317 , 0.234819509426 , 0.0592126284538 ,
+ 0.136580574205 , -0.205486212579 , 0.0572866072014 , 0.0637270784978 , -0.168886355238 , 0.446614057077 ,
+ 0.041337157151 , -0.213402568198 , 0.372407095999 , 0.0411601970268 , -0.202387875756 , 0.411334979491 ,
+ -0.108355701857 , 0.193636239335 , 0.204886756738 , 0.00639779029829 , 0.155296981517 , 0.252585892979 ,
+ 0.0262473111702 , -0.112919732543 , 0.424286639249 ,-0.224103052733 , -0.139430015438 , -0.0122352295701 ,
+ -0.0312760589481 , -0.274272003594 , 0.0323959636568 , -0.166663422532 , -0.217754445175 , 0.00392109070364 ,
+ -0.30586619777 , -0.0475168041091 , -0.0144585228182 , -0.280881480586 , 0.135571293538 , 0.00623923647986 ,
+ -0.25548538234 , 0.156819217766 , 0.0645277879769 , -0.131567009284 , 0.184133752309 , 0.206021802753 ,
+ -0.196204010965 , 0.151602971681 , 0.212974777736 , -0.183713879463 , 0.0802946639531 , 0.260115662599 ,
+ -0.244241178767 , -0.0738873389604 , 0.144590565817 , -0.155804057829 , -0.164892720025 , 0.210613950558 ,
+ -0.170950800428 , -0.215099334026 , 0.00610122860092 , -0.30552634869 , -0.0490020791904 , -0.0132786533145 ,
+ 0.271831011884 , 0.15105657296 , 0.0230534827908 , 0.281919192283 , 0.0898544306288 , -0.0625201489143 ,
+ 0.260240727276 , -0.0120688706637 , -0.0532316588626 , 0.244947737722 , 0.0197984684293 , 0.0309341209233 ,
+ 0.23439631578 , 0.229825279875 , 0.0508520585381 , 0.160921316875 , 0.265078502128 , 0.121716560626 ,
+ -0.315088694175 , 0.0747700471918 , -0.245836615071 , -0.327728781776 , 0.0857114674649 , -0.239431905957 ,
+ -0.308385460634 , 0.145142997084 , -0.149886828433 , 0.0488236045164 , 0.309462801914 , 0.0849169148265 ,
+ -0.0244964803395 , 0.33145611751 , -0.0476415818061 , 0.0060567994229 , 0.32418412014 , 0.0367779543812 ,
+ -0.0950221448063 , 0.236675326003 , 0.0572594453983 , 0.248723023186 , 0.0886648784791 , -0.176629430538 ,
+ 0.116796984 , 0.256596599567 , -0.292863523603 , 0.118024552914 , 0.229154257843 , -0.34233232501 ,
+ 0.217507892549 , -0.0417822335742 , -0.176771782888 , -0.224429321304 , 0.0125595300114 , -0.362064725588 ,
+ 0.0937301100955 , -0.0500824832657 , -0.299713548444 , -0.244162220397 , 0.0383853931293 , -0.389856984411 ,
+ -0.0281989366102 , 0.097392811563 , -0.458244577284 , -0.385010847162 , 0.10122766194 , -0.140052859922 ,
+ -0.377936358012 , 0.110875172128 , -0.176207095463 , 0.244483045556 , -0.0991073977045 , 0.0575134372934 ,
+ 0.262605120167 , -0.100243191645 , -0.0495620806935 , 0.240306880972 , -0.136153701579 , -0.114745281696 ,
+ 0.215763176129 , -0.0836766059189 , -0.183249640616 , 0.237870396603 , -0.132449578286 , -0.121598854639 ,
+ -0.0637683083097 , -0.27921020214 , -0.149112321992 , -0.0856211014977 , -0.2973233473 , -0.0446878139589 ,
+ 0.104675342288 , -0.0625908305324 , -0.290346256534 , 0.0248264249186 , -0.247797708548 , -0.165830884019 ,
+ 0.0719302438309 , -0.178468260473 , -0.211432157345 , 0.142871843159 , -0.208769948542 , 0.0454101128246 ,
+ 0.167803379307 , -0.207851396623 , -0.088802726124 , 0.12868717152 , -0.230920439715 , 0.00760508389036 ,
+ -0.0372812069535 , -0.286740286332 , 0.00963701291166 ], 69, 3)
+ connN = [ #polyhedron 0
+ 0 , 1 , 3 , 4 , 2 , -1 , 1 , 5 , 6 , 7 , 0 , -1 , 0 , 7 , 8 , 10 , 11 , 9 , 2 , -1 , 1 , 5 , 12 , 14 , 15 , 13 , 3 , -1 , 16 , 9 , 2 , 4 , 17 , -1
+ , 4 , 3 , 13 , 18 , 17 , -1 , 5 , 6 , 19 , 21 , 20 , 12 , -1 , 6 , 7 , 8 , 23 , 22 , 19 , -1 , 23 , 24 , 10 , 8 , -1 , 25 , 11 , 9 , 16 , -1
+ , 24 , 26 , 25 , 11 , 10 , -1 , 12 , 14 , 20 , -1 , 27 , 28 , 29 , 15 , 13 , 18 , -1 , 14 , 15 , 29 , 30 , 21 , 20 , -1 , 26 , 27 , 18 , 17 , 16 , 25 , -1
+ , 22 , 19 , 21 , 30 , 31 , -1 , 22 , 31 , 28 , 27 , 26 , 24 , 23 , -1 , 31 , 30 , 29 , 28,
+ # polyhedron 1
+ 0 , 7 , 8 , 10 , 11 , 9 , 2 , -1 , 32 , 0 , 7 , 35 , 34 , 33 , -1 , 32 , 0 , 2 , 37 , 36 , -1 , 35 , 7 , 8 , 40 , 39 , 38 , -1
+ , 2 , 37 , 41 , 9 , -1 , 40 , 8 , 10 , 44 , 43 , 42 , -1 , 41 , 9 , 11 , 44 , 43 , -1 , 44 , 11 , 10 , -1 , 32 , 33 , 45 , 47 , 46 , 36 , -1
+ , 33 , 34 , 48 , 45 , -1 , 35 , 34 , 48 , 50 , 49 , 38 , -1 , 41 , 43 , 42 , 46 , 36 , 37 , -1 , 38 , 39 , 51 , 49 , -1
+ , 39 , 40 , 42 , 46 , 47 , 52 , 51 , -1 , 45 , 47 , 52 , 50 , 48 , -1 , 52 , 51 , 49 , 50,
+ # polyhedron 2
+ 6 , 7 , 8 , 23 , 22 , 19 , -1 , 6 , 35 , 7 , -1 , 6 , 35 , 38 , 19 , -1 , 35 , 7 , 8 , 40 , 39 , 38 , -1 , 53 , 22 , 19 , 38 , 39 , 54 , -1
+ , 23 , 53 , 54 , 40 , 8 , -1 , 53 , 22 , 23 , -1 , 39 , 54 , 40,
+ # polyhedron 3
+ 35 , 34 , 48 , 50 , 49 , 38 , -1 , 6 , 35 , 34 , 56 , 55 , 5 , -1 , 6 , 35 , 38 , 19 , -1 , 34 , 56 , 57 , 59 , 58 , 48 , -1
+ , 60 , 61 , 21 , 19 , 38 , 49 , -1 , 62 , 50 , 48 , 58 , -1 , 60 , 63 , 64 , 62 , 50 , 49 , -1 , 5 , 6 , 19 , 21 , 20 , 12 , -1
+ , 55 , 5 , 12 , 65 , -1 , 66 , 67 , 65 , 55 , 56 , 57 , -1 , 63 , 66 , 57 , 59 , 64 , -1 , 64 , 62 , 58 , 59 , -1
+ , 60 , 63 , 66 , 67 , 68 , 61 , -1 , 61 , 68 , 20 , 21 , -1 , 67 , 68 , 20 , 12 , 65]
+ meshN=MEDCouplingUMesh.New()
+ meshN.setName("ForBary")
+ meshN.setMeshDimension(3) ; meshN.setCoords(coords)
+ meshN.allocateCells(4)
+ meshN.insertNextCell(NORM_POLYHED,113,connN);
+ meshN.insertNextCell(NORM_POLYHED,99,connN[113:])
+ meshN.insertNextCell(NORM_POLYHED,43,connN[212:])
+ meshN.insertNextCell(NORM_POLYHED,92,connN[255:])
+ d=meshN.computeEffectiveNbOfNodesPerCell()
+ e=meshN.computeNbOfNodesPerCell()
+ self.assertTrue(d.isEqual(DataArrayInt([32,28,12,26])))
+ self.assertTrue(e.isEqual(DataArrayInt([96,84,36,78])))
+ m0=MEDCoupling1DGTUMesh(meshN)
+ c=MEDCouplingCMesh()
+ arr=DataArrayDouble(3) ; arr.iota(10)
+ c.setCoords(arr,arr,arr)
+ m10=c.buildUnstructured()
+ m11=c.build1SGTUnstructured()
+ m12=MEDCoupling1SGTUMesh.New(m10)
+ self.assertTrue(m12.isEqual(m11,1e-12))
+ m12.setCoords(m0.getCoords()) # m12 is not OK geometrically but the aim of the test is only connectivity values
+ m3=MEDCoupling1GTUMesh.AggregateOnSameCoordsToUMesh([m12,m0])
+ m3.checkCoherency()
+ self.assertEqual(m3.getCoords().getHiddenCppPointer(),m12.getCoords().getHiddenCppPointer())
+ self.assertTrue(m3.getNodalConnectivity().isEqual(DataArrayInt([18,1,0,3,4,10,9,12,13,18,2,1,4,5,11,10,13,14,18,4,3,6,7,13,12,15,16,18,5,4,7,8,14,13,16,17,18,10,9,12,13,19,18,21,22,18,11,10,13,14,20,19,22,23,18,13,12,15,16,22,21,24,25,18,14,13,16,17,23,22,25,26,31,0,1,3,4,2,-1,1,5,6,7,0,-1,0,7,8,10,11,9,2,-1,1,5,12,14,15,13,3,-1,16,9,2,4,17,-1,4,3,13,18,17,-1,5,6,19,21,20,12,-1,6,7,8,23,22,19,-1,23,24,10,8,-1,25,11,9,16,-1,24,26,25,11,10,-1,12,14,20,-1,27,28,29,15,13,18,-1,14,15,29,30,21,20,-1,26,27,18,17,16,25,-1,22,19,21,30,31,-1,22,31,28,27,26,24,23,-1,31,30,29,28,31,0,7,8,10,11,9,2,-1,32,0,7,35,34,33,-1,32,0,2,37,36,-1,35,7,8,40,39,38,-1,2,37,41,9,-1,40,8,10,44,43,42,-1,41,9,11,44,43,-1,44,11,10,-1,32,33,45,47,46,36,-1,33,34,48,45,-1,35,34,48,50,49,38,-1,41,43,42,46,36,37,-1,38,39,51,49,-1,39,40,42,46,47,52,51,-1,45,47,52,50,48,-1,52,51,49,50,31,6,7,8,23,22,19,-1,6,35,7,-1,6,35,38,19,-1,35,7,8,40,39,38,-1,53,22,19,38,39,54,-1,23,53,54,40,8,-1,53,22,23,-1,39,54,40,31,35,34,48,50,49,38,-1,6,35,34,56,55,5,-1,6,35,38,19,-1,34,56,57,59,58,48,-1,60,61,21,19,38,49,-1,62,50,48,58,-1,60,63,64,62,50,49,-1,5,6,19,21,20,12,-1,55,5,12,65,-1,66,67,65,55,56,57,-1,63,66,57,59,64,-1,64,62,58,59,-1,60,63,66,67,68,61,-1,61,68,20,21,-1,67,68,20,12,65])))
+ self.assertTrue(m3.getNodalConnectivityIndex().isEqual(DataArrayInt([0,9,18,27,36,45,54,63,72,186,286,330,423])))
+ pass
+
def setUp(self):
pass
pass
