code: def expect_log_sticks(sticks):
      r"""For stick-breaking hdp, get the :math:`\mathbb{E}[log(sticks)]`.
  
      Parameters
      ----------
      sticks : numpy.ndarray
          Array of values for stick.
  
      Returns
      -------
      numpy.ndarray
          Computed :math:`\mathbb{E}[log(sticks)]`.
  
      """
      dig_sum = psi(np.sum(sticks, 0))
      ElogW = psi(sticks[0]) - dig_sum
      Elog1_W = psi(sticks[1]) - dig_sum
  
      n = len(sticks[0]) + 1
      Elogsticks = np.zeros(n)
      Elogsticks[0 : n - 1] = ElogW
      Elogsticks[1:] = Elogsticks[1:] + np.cumsum(Elog1_W)
      return Elogsticks
  
imports: import logging
  import time
  import warnings
  import numpy
  from scipy.special import gammaln, psi
  from gensim import interfaces, utils, matutils
  from gensim.matutils import dirichlet_expectation, mean_absolute_difference
  from gensim.models import basemodel, ldamodel
  from gensim.utils import deprecated
label_desc: Use image node_id 1 for calling a global function with example usage: expect_log_sticks(sticks) and returns: Elogsticks