code: def scotts_rule(a_batch: np.ndarray) -> int:
      """
      Scott's rule to compute the number of bins.
  
      Parameters
      ----------
      a_batch: np.ndarray
          The batch of attributions to use in the calculation.
  
      Returns
      -------
          integer
      """
  
      std = np.std(a_batch)
      n = a_batch[0].ndim
  
      # Calculate bin width using Scott's rule.
      bin_width = 3.5 * std / np.power(n, 1 / 3)
  
      # Calculate number of bins based on bin width.
      n_bins = int((np.max(a_batch) - np.min(a_batch)) / bin_width)
  
      return n_bins
  
imports: import scipy
  import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: scotts_rule(a_batch) and returns: n_bins