Learner1D breaks if right bound is added before the left bound

It is surprisingly easy to completely break the Learner1D

import adaptive
adaptive.notebook_extension()

def f(x): return x

learner = adaptive.Learner1D(f, bounds=(-1, 1))
learner.tell(1, 0)  # first add a point at the right boundary

learner.ask(1) # This will forever return ([1.0], [inf])