class_docstr: build a dictionary with occurence count and then build the Huffman code for it.
class_docstr_tok: ["build","a","dictionary","with","occurence","count","and","then","build","the","Huffman","code","for","it","."]
code: def _smallest(self, q1: deque, q2: deque) -> HuffmanNode:
      if len(q1) == 0:
          return q2.pop()
  
      if len(q2) == 0:
          return q1.pop()
  
      if q1[-1].count < q2[-1].count:
          return q1.pop()
  
      return q2.pop()
  
imports: import re
  import typing
  from collections import Counter, deque
  from dataclasses import dataclass
  from bitarray import bitarray, util
  from fairseq.data import Dictionary
label_desc: Use image node_id 6 for calling the HuffmanCodeBuilder obj's underlying member method code with example usage: obj._smallest(q1, q2) and returns: q2, q2, q1, q1