code: def get_cc_age_bucket(age_num):
      try:
          age_num = int(age_num)
          if age_num < 18:
              return "<18"
          if age_num >= 18 and age_num < 30:
              return "18-30"
          if age_num >= 30 and age_num < 45:
              return "30-45"
          if age_num >= 45 and age_num < 70:
              return "45-70"
          if age_num >= 70:
              return "70+"
      except Exception:
          return "-1"
  
file_path: vissl/projects/fairness_indicators/similarity_search/inference_casual_conversations.py
imports: import numpy
  import pandas
  import torch
  from vissl.utils.io import load_file
label_desc: Use image node_id 3 for calling a global function with example usage: get_cc_age_bucket(age_num) and returns: str, str, str, str, str, str