input: from typing import List
  
  
  def predict_class_labels(data: List[List[float]]) -> List[int]:
      """ Predict the class labels of a given set of data based on previously trained model.
      >>> predict_class_labels([[1.0, 2.0, 3.0, 4.0]])
      [0]
      >>> predict_class_labels([[10.0, 20.0, 30.0, 40.0]])
      [1]
      """
output:     predictions = []
      for row in data:
          if sum(row) < 50.0:
              predictions.append(0)
          else:
              predictions.append(1)
      return predictions