def __call__(self, x):
# find appropriate linear segments
i = find_index(self.lookup, x, hi=self.hi)
f = self.segments[i]
# approximate linearly from support point
# negative overheads make no sense, so avoid them
return max(0, f(x))
def __call__(self, x):
# find appropriate linear segments
i = find_index(self.lookup, x, hi=self.hi)
f = self.segments[i]
# approximate linearly from support point
# negative overheads make no sense, so avoid them
return max(0, f(x))
def inverse(self, y):
i = find_index(self.reverse_lookup, y, hi=self.hi)
f = self.segments[i]
return f.inverse(y)