text: import random
  
  from src.PredictionResult import PredictionResult
  from src.configurations import Configuration
  from src.Data import Data
  
  
  class RandomEstimator:
      def __init__(self, config: Configuration):
          self.configuration = config
  
      def predict_random_numbers_for(self, data: Data):
          number_of_docks = data.get_num_of_docks_for_each_station()
          predictions = []
          for example in number_of_docks:
              predictions.append(random.randint(0, example))
  
          result = PredictionResult(list(range(0, len(predictions))))
          result.add_predictions(predictions)
          result.add_true_values(data.get_true_values())
          return result
  