code: def get_weights(self, indices=None):
          
          if indices is None:
              indices = list(range(0, self.get_sample_size()))
          else:
              indices = sorted(list(set(indices)))
  
          if len(indices) == 0:
              return []
          return self.w[indices]
docs: Returns the weights requested by the user
              @ In, indices, a list of non-negative integers specifying
              the row indices to return
              @ Out, a list of floating point values specifying the
              weights associated to the input data rows filtered by the
              indices input parameter.