code: def convert_compact_to_genotype(compact):
      """Converts the compact representation to a Genotype"""
      OPS = [
          "max_pool_3x3",
          "avg_pool_3x3",
          "skip_connect",
          "sep_conv_3x3",
          "sep_conv_5x5",
          "dil_conv_3x3",
          "dil_conv_5x5",
      ]
      genotype = []
  
      for i in range(2):
          cell = compact[i]
          genotype.append([])
  
          for j in range(8):
              genotype[i].append((OPS[cell[j][1]], cell[j][0]))
  
      return Genotype(
          normal=genotype[0],
          normal_concat=[2, 3, 4, 5],
          reduce=genotype[1],
          reduce_concat=[2, 3, 4, 5],
      )
  
imports: from scipy.special import softmax
  from .genotypes import *
label_desc: Use image node_id 3 for calling a global function with example usage: convert_compact_to_genotype(compact) and returns: Genotype