code: def get_most_common(rle):
      pair_sum = [calculate_pair_sum(col) for col in rle]
  
      flattened = []
      for col in pair_sum:
          flattened += col
  
      most_common = np.argmax(np.bincount(flattened))
      return most_common
  
imports: import numpy
label_desc: Use image node_id 6 for calling a global function with example usage: get_most_common(rle) and returns: most_common