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Add “Grading” parameter to Adaptive 1D hypothesis
[modules/smesh.git] / src / SMESH_SWIG / StdMeshersBuilder.py
index 1e9c735332a99c79bbfadde90cb2a50c2a3eeb7f..054bd7e7e11b96652aa6515650e35f4c8e61e308 100644 (file)
@@ -183,20 +183,23 @@ class StdMeshersBuilder_Segment(Mesh_Algorithm):
     #  @param minSize defines the minimal allowed segment length
     #  @param maxSize defines the maximal allowed segment length
     #  @param deflection defines the maximal allowed distance from a segment to an edge
+    #  @param grading defines how much size of adjacent elements can differ
     #  @param UseExisting if ==true - searches for an existing hypothesis created with
     #                     the same parameters, else (default) - creates a new one
     #  @return an instance of StdMeshers_Adaptive1D hypothesis
     #  @ingroup l3_hypos_1dhyps
-    def Adaptive(self, minSize, maxSize, deflection, UseExisting=False):
+    def Adaptive(self, minSize, maxSize, deflection, grading, UseExisting=False):
         from salome.smesh.smeshBuilder import IsEqual
         compFun = lambda hyp, args: ( IsEqual(hyp.GetMinSize(), args[0]) and \
                                       IsEqual(hyp.GetMaxSize(), args[1]) and \
-                                      IsEqual(hyp.GetDeflection(), args[2]))
-        hyp = self.Hypothesis("Adaptive1D", [minSize, maxSize, deflection],
+                                      IsEqual(hyp.GetDeflection(), args[2]) and \
+                                      IsEqual(hyp.GetGrading(), args[3]))
+        hyp = self.Hypothesis("Adaptive1D", [minSize, maxSize, deflection, grading],
                               UseExisting=UseExisting, CompareMethod=compFun)
         hyp.SetMinSize(minSize)
         hyp.SetMaxSize(maxSize)
         hyp.SetDeflection(deflection)
+        hyp.SetGrading(grading)
         return hyp
 
     ## Defines "Arithmetic1D" hypothesis to cut an edge in several segments with a length