code: def add_noise_to_dict_values(dictionary: Dict[A, float], noise_param: float) -> Dict[A, float]:
      
      new_dict = {}
      for key, value in dictionary.items():
          noise_value = value * noise_param
          noise = random.uniform(-noise_value, noise_value)
          new_dict[key] = value + noise
      return new_dict
docs: Returns a new dictionary with noise added to every key in ``dictionary``.  The noise is
      uniformly distributed within ``noise_param`` percent of the value for every value in the
      dictionary.