docs: def build_sample_smoother_problem_friedman82(N=200):
      """Sample problem from supersmoother publication."""
      x = numpy.random.uniform(size=N)
      err = numpy.random.standard_normal(N)
      y = numpy.sin(2 * math.pi * (1 - x) ** 2) + x * err
      return x, y