ForkMaster/smesh
1
0
Fork 0
mirror of https://git.salome-platform.org/gitpub/modules/smesh.git synced 2025-01-28 08:40:32 +05:00
Code Issues Packages Projects Releases Wiki Activity

avoid exception in Mesh_Algorithm.Hypothesis() for mesh w/o shape

Browse Source 
0020748: EDF 1278 NETGENPLUGIN : Add Gradation in Netgen 2D hypothesis
  Make "Netgen 2D/3D Parameters" hypothesis compatible with
  Tetrahedron(Netgen) and Netgen 2D algorithms
This commit is contained in:
eap 2010-11-25 09:37:33 +00:00
parent 875fe6cc6d
commit 95825b6266
1 changed files with 62 additions and 52 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

114
src/SMESH_SWIG/smeshDC.py
View File

@ -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", [],
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)
elif self.algoType == GHS3D:
self.params = self.Hypothesis("GHS3D_Parameters", [],
"libGHS3DEngine.so", UseExisting=0)
elif self.algoType == GHS3DPRL:
self.params = self.Hypothesis("GHS3DPRL_Parameters", [],
"libGHS3DPRLEngine.so", UseExisting=0)
else:
self.params = self.Hypothesis("NETGEN_Parameters", [],
"libNETGENEngine.so", UseExisting=0)
return self.params
print "Algo supports no multi-parameter hypothesis"
if self.algoType == GHS3D:
self.params = self.Hypothesis("GHS3D_Parameters", [],
"libGHS3DEngine.so", UseExisting=0)
return self.params
if self.algoType == GHS3DPRL:
self.params = self.Hypothesis("GHS3DPRL_Parameters", [],
"libGHS3DPRLEngine.so", UseExisting=0)
return self.params
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)