code: def generate_one(self):
          
          # Get the weights for all items in the domain
          weights = [self.probability_func(self.generated[element])
                     for element in self.domain]
  
          # Sample from the domain using the weights
          element = random.choices(self.domain, weights=weights)[0]
  
          # Update the generated values and return
          self.generated[element] += 1
  
          return element
docs: Generate a single element.
      
          Returns
          -------
          element
              An element from the domain.
      
      
          Examples
          -------
          >>> generator = RepellentGenerator(['a', 'b'])
          >>> gen_item = generator.generate_one()
          >>> gen_item in ['a', 'b']
          True