code: def color_segment(segment, value, best_value):
      if value <= best_value * 1.01 or value <= best_value + 100e-9:
          return BEST + BOLD + segment + TERMINATE * 2
      if value <= best_value * 1.1:
          return GOOD + BOLD + segment + TERMINATE * 2
      if value >= best_value * 5:
          return VERY_BAD + BOLD + segment + TERMINATE * 2
      if value >= best_value * 2:
          return BAD + segment + TERMINATE * 2
  
      return segment
  
imports: import collections
  import enum
  import itertools
  from typing import DefaultDict, List, Optional, Tuple
  from torch.utils.benchmark.utils import common
  from torch import tensor
label_desc: Use image node_id 4 for calling the _Row obj's underlying member method code with example usage: obj.color_segment(segment, value, best_value) and returns: segment, unknown, unknown, unknown, unknown