text: from .helper import *
  
  def sample(flag):
      sex = step([(0,1,0.3307), (1,2,0.6693)])
      if sex < 1:
          capital_gain = gaussian(568.4105, 24248365.5428)
          if capital_gain < 7298.0000:
              age = gaussian(38.4208, 184.9151)
              relationship = step([(0,1,0.0491), (1,2,0.1556), (2,3,0.4012), (3,4,0.2589), (4,5,0.0294), (5,6,0.1058)])
          else:
              age = gaussian(38.8125, 193.4918)
              relationship = step([(0,1,0.0416), (1,2,0.1667), (2,3,0.4583), (3,4,0.2292), (4,5,0.0166), (5,6,0.0876)])
      else:
          capital_gain = gaussian(1329.3700, 69327473.1006)
          if capital_gain < 5178.0000:
              age = gaussian(38.6361, 187.2435)
              relationship = step([(0,1,0.0497), (1,2,0.1545), (2,3,0.4021), (3,4,0.2590), (4,5,0.0294), (5,6,0.1053)])
          else:
              age = gaussian(38.2668, 187.2747)
              relationship = step([(0,1,0.0417), (1,2,0.1624), (2,3,0.3976), (3,4,0.2606), (4,5,0.0356), (5,6,0.1021)])
      sensitiveAttribute(sex < 1, flag)
      qualified(age > 18)
  
      if relationship < 1:
          if capital_gain < 5095.5:
              t = 1
          else:
              t = 0
      elif relationship < 2:
          if capital_gain < 4718.5:
              t = 1
          else:
              t = 0
      elif relationship < 3:
          if capital_gain < 5095.5:
              t = 1
          else:
              t = 0
      elif relationship < 4:
          if capital_gain < 8296:
              t = 1
          else:
              t = 0
      elif relationship < 5:
          t = 1
      else:
          if capital_gain < 4668.5:
              t = 1
          else:
              t = 0
      return int(t < 0.5)
      fairnessTarget(t < 0.5)
  
  