code: def __histovariance(self, *, hist, lamsqrttp1):
      from math import log1p, sqrt
  
      sqrttp1 = sqrt(self.t + 1)
      return sum(
          c
          * (
              (
                  lamsqrttp1
                  * (self.k - 1)
                  * xds
                  / (1 + lamsqrttp1 * self.k * xds)
              )
              ** 2
              if strongterm
              else lamsqrttp1 * xds - log1p(lamsqrttp1 * xds)
          )
          for ((n, strongterm), c) in hist.items()
          for xraw in (self.k**n,)
          for xds in (xraw / sqrttp1,)
      )
  
label_desc: Use image node_id 2 for calling the GTilde obj's underlying member method code with example usage: obj.__histovariance() and returns: sum