From: eap Date: Thu, 25 Nov 2010 09:37:33 +0000 (+0000) Subject: avoid exception in Mesh_Algorithm.Hypothesis() for mesh w/o shape X-Git-Url: http://git.salome-platform.org/gitweb/?p=modules%2Fsmesh.git;a=commitdiff_plain;h=95825b62667a4b3c4ea50f58f07f6d9650661b6b avoid exception in Mesh_Algorithm.Hypothesis() for mesh w/o shape 0020748: EDF 1278 NETGENPLUGIN : Add Gradation in Netgen 2D hypothesis Make "Netgen 2D/3D Parameters" hypothesis compatible with Tetrahedron(Netgen) and Netgen 2D algorithms --- diff --git a/src/SMESH_SWIG/smeshDC.py b/src/SMESH_SWIG/smeshDC.py index 09b1e9393..d35246229 100644 --- a/src/SMESH_SWIG/smeshDC.py +++ b/src/SMESH_SWIG/smeshDC.py @@ -4284,8 +4284,11 @@ class Mesh_Algorithm: pass self.mesh.smeshpyD.SetName(hypo, hyp + a) pass + geomName="" + if self.geom: + geomName = GetName(self.geom) status = self.mesh.mesh.AddHypothesis(self.geom, hypo) - TreatHypoStatus( status, GetName(hypo), GetName(self.geom), 0 ) + TreatHypoStatus( status, GetName(hypo), geomName, 0 ) return hypo ## Returns entry of the shape to mesh in the study @@ -4823,20 +4826,31 @@ class Mesh_Triangle(Mesh_Algorithm): self.Parameters().SetOptionValue(optionName,level) ## Sets QuadAllowed flag. - # Only for algoType == NETGEN || NETGEN_2D || BLSURF + # Only for algoType == NETGEN(NETGEN_1D2D) || NETGEN_2D || BLSURF # @ingroup l3_hypos_netgen l3_hypos_blsurf def SetQuadAllowed(self, toAllow=True): if self.algoType == NETGEN_2D: - if toAllow: # add QuadranglePreference - self.Hypothesis("QuadranglePreference", UseExisting=1, CompareMethod=self.CompareEqualHyp) - else: # remove QuadranglePreference + if not self.params: + # use simple hyps + hasSimpleHyps = False + simpleHyps = ["QuadranglePreference","LengthFromEdges","MaxElementArea"] for hyp in self.mesh.GetHypothesisList( self.geom ): - if hyp.GetName() == "QuadranglePreference": - self.mesh.RemoveHypothesis( self.geom, hyp ) + if hyp.GetName() in simpleHyps: + hasSimpleHyps = True + if hyp.GetName() == "QuadranglePreference": + if not toAllow: # remove QuadranglePreference + self.mesh.RemoveHypothesis( self.geom, hyp ) + pass + return pass pass + if hasSimpleHyps: + if toAllow: # add QuadranglePreference + self.Hypothesis("QuadranglePreference", UseExisting=1, CompareMethod=self.CompareEqualHyp) + pass + return pass - return + pass if self.Parameters(): self.params.SetQuadAllowed(toAllow) return @@ -4845,30 +4859,25 @@ class Mesh_Triangle(Mesh_Algorithm): # # @ingroup l3_hypos_netgen def Parameters(self, which=SOLE): - if self.params: - return self.params - if self.algoType == NETGEN: - if which == SIMPLE: - self.params = self.Hypothesis("NETGEN_SimpleParameters_2D", [], + if not self.params: + if self.algoType == NETGEN: + if which == SIMPLE: + self.params = self.Hypothesis("NETGEN_SimpleParameters_2D", [], + "libNETGENEngine.so", UseExisting=0) + else: + self.params = self.Hypothesis("NETGEN_Parameters_2D", [], + "libNETGENEngine.so", UseExisting=0) + elif self.algoType == MEFISTO: + print "Mefisto algo support no multi-parameter hypothesis" + elif self.algoType == NETGEN_2D: + self.params = self.Hypothesis("NETGEN_Parameters_2D_ONLY", [], "libNETGENEngine.so", UseExisting=0) + elif self.algoType == BLSURF: + self.params = self.Hypothesis("BLSURF_Parameters", [], + "libBLSURFEngine.so", UseExisting=0) else: - self.params = self.Hypothesis("NETGEN_Parameters_2D", [], - "libNETGENEngine.so", UseExisting=0) - return self.params - elif self.algoType == MEFISTO: - print "Mefisto algo support no multi-parameter hypothesis" - return None - elif self.algoType == NETGEN_2D: - print "NETGEN_2D_ONLY algo support no multi-parameter hypothesis" - print "NETGEN_2D_ONLY uses 'MaxElementArea' and 'LengthFromEdges' ones" - return None - elif self.algoType == BLSURF: - self.params = self.Hypothesis("BLSURF_Parameters", [], - "libBLSURFEngine.so", UseExisting=0) - return self.params - else: - print "Mesh_Triangle with algo type %s does not have such a parameter, check algo type"%self.algoType - return None + print "Mesh_Triangle with algo type %s does not have such a parameter, check algo type"%self.algoType + return self.params ## Sets MaxSize # @@ -5057,33 +5066,34 @@ class Mesh_Tetrahedron(Mesh_Algorithm): # # @ingroup l3_hypos_netgen def Parameters(self, which=SOLE): - if self.params: - return self.params + if not self.params: - if self.algoType == FULL_NETGEN: - if which == SIMPLE: - self.params = self.Hypothesis("NETGEN_SimpleParameters_3D", [], - "libNETGENEngine.so", UseExisting=0) - else: - self.params = self.Hypothesis("NETGEN_Parameters", [], + if self.algoType == FULL_NETGEN: + if which == SIMPLE: + self.params = self.Hypothesis("NETGEN_SimpleParameters_3D", [], + "libNETGENEngine.so", UseExisting=0) + else: + self.params = self.Hypothesis("NETGEN_Parameters", [], + "libNETGENEngine.so", UseExisting=0) + + if self.algoType == NETGEN: + self.params = self.Hypothesis("NETGEN_Parameters_3D", [], "libNETGENEngine.so", UseExisting=0) - return self.params - if self.algoType == GHS3D: - self.params = self.Hypothesis("GHS3D_Parameters", [], - "libGHS3DEngine.so", UseExisting=0) - return self.params + elif self.algoType == GHS3D: + self.params = self.Hypothesis("GHS3D_Parameters", [], + "libGHS3DEngine.so", UseExisting=0) - if self.algoType == GHS3DPRL: - self.params = self.Hypothesis("GHS3DPRL_Parameters", [], - "libGHS3DPRLEngine.so", UseExisting=0) - return self.params + elif self.algoType == GHS3DPRL: + self.params = self.Hypothesis("GHS3DPRL_Parameters", [], + "libGHS3DPRLEngine.so", UseExisting=0) + else: + print "Algo supports no multi-parameter hypothesis" - print "Algo supports no multi-parameter hypothesis" - return None + return self.params ## Sets MaxSize - # Parameter of FULL_NETGEN + # Parameter of FULL_NETGEN and NETGEN # @ingroup l3_hypos_netgen def SetMaxSize(self, theSize): self.Parameters().SetMaxSize(theSize) @@ -5095,7 +5105,7 @@ class Mesh_Tetrahedron(Mesh_Algorithm): self.Parameters().SetSecondOrder(theVal) ## Sets Optimize flag - # Parameter of FULL_NETGEN + # Parameter of FULL_NETGEN and NETGEN # @ingroup l3_hypos_netgen def SetOptimize(self, theVal): self.Parameters().SetOptimize(theVal)