code: def make_random_histogram(center=0.0, stdev=default_stdev, length=default_feature_dim, num_bins=default_num_bins):
      "Returns a sequence of histogram density values that sum to 1.0"
  
      hist, bin_edges = np.histogram(get_distr(center, stdev, length),
                                     range=edge_range, bins=num_bins, density=True)
      # to ensure they sum to 1.0
      hist = hist / sum(hist)
  
      if len(hist) < 2:
          raise ValueError('Invalid histogram')
  
      return hist, bin_edgef make_random_histogram(center=0.0, stdev=default_stdev, length=default_feature_dim, num_bins=default_num_bins):
      "Returns a sequence of histogram density values that sum to 1.0"
  
      hist, bin_edges = np.histogram(get_distr(center, stdev, length),
                                     range=edge_range, bins=num_bins, density=True)
      # to ensure they sum to 1.0
      hist = hist / sum(hist)
  
      if len(hist) < 2:
          raise ValueError('Invalid histogram')
  
      return hist, bin_edges
docs: Returns a sequence of histogram density values that sum to 1.0