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("target",NORM_HEXA8) ; s.setCoords(sCoo)
+ 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)
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)
+ srcField.writeVTK("/tmp/src3d.vtu")
+ tgtF.writeVTK("/tmp/tgt3d.vtu")
+ ref = []
+ 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.
pass
pass
-unittest.main()
+if __name__ == "__main__":
+ unittest.main()