input: from typing import List
  
  def compute_mean_absolute_deviation(numbers: List[float]) -> float:
      """ Given a list of numerical values, compute the Mean Absolute Deviation
      relative to the mean of the list.
      The Mean Absolute Deviation is determined by finding the average of the absolute differences
      between each number and the dataset's mean:
      MAD = average | x - x_mean |
      >>> compute_mean_absolute_deviation([1.0, 2.0, 3.0, 4.0])
      1.0
      """
output:     mean = sum(numbers) / len(numbers)
      mad = sum(abs(x - mean) for x in numbers) / len(numbers)
      return mad