# @param l for the length of segments that cut an edge
# @param UseExisting if ==true - search existing hypothesis created with
# same parameters, else (default) - create new
- def LocalLength(self, l, UseExisting=0):
- hyp = self.Hypothesis("LocalLength", [l], UseExisting=UseExisting,
+ # @param p precision, used for number of segments calculation.
+ # It must be pozitive, meaningfull values are in range [0,1].
+ # In general, number of segments is calculated with formula:
+ # nb = ceil((edge_length / l) - p)
+ # Function ceil rounds its argument to the higher integer.
+ # So, p=0 means rounding of (edge_length / l) to the higher integer,
+ # p=0.5 means rounding of (edge_length / l) to the nearest integer,
+ # p=1 means rounding of (edge_length / l) to the lower integer.
+ # Default value is 1e-07.
+ def LocalLength(self, l, UseExisting=0, p=1e-07):
+ hyp = self.Hypothesis("LocalLength", [l,p], UseExisting=UseExisting,
CompareMethod=self.CompareLocalLength)
hyp.SetLength(l)
+ hyp.SetPrecision(p)
return hyp
## Check if the given "LocalLength" hypothesis has the same parameters as given arguments
def CompareLocalLength(self, hyp, args):
- return IsEqual(hyp.GetLength(), args[0])
+ if IsEqual(hyp.GetLength(), args[0]):
+ return IsEqual(hyp.GetPrecision(), args[1])
+ return False
## Define "NumberOfSegments" hypothesis to cut an edge in several fixed number of segments
# @param n for the number of segments that cut an edge
