code: def smooth_histogram(histogram, smooth):
      """
      Smooth the given histogram.
  
      Parameters
      ----------
      histogram : tuple
          Histogram (tuple of 2 numpy arrays, the first giving the strengths of
          the bins and the second corresponding delay values).
      smooth : int or numpy array
          Smoothing kernel (size).
  
      Returns
      -------
      histogram_bins : numpy array
          Bins of the smoothed histogram.
      histogram_delays : numpy array
          Corresponding delays.
  
      Notes
      -----
      If `smooth` is an integer, a Hamming window of that length will be used as
      a smoothing kernel.
  
      """
      # smooth only the histogram bins, not the corresponding delays
      return smooth_signal(histogram[0], smooth), histogram[1]
  
imports: from __future__ import absolute_import, division, print_function
  import sys
  import warnings
  from operator import itemgetter
  import numpy
  from ..audio.signal import smooth
  from ..processors import BufferProcessor, OnlineProcessor
label_desc: Use image node_id 1 for calling a global function with example usage: smooth_histogram(histogram, smooth) and returns: smooth_signal,  histogram