code: def parse_params(self,
                     theta=1.,
                     gamma=1.,
                     clip_min=0.,
                     clip_max=1.,
                     y_target=None,
                     symbolic_impl=True,
                     **kwargs):
      
      self.theta = theta
      self.gamma = gamma
      self.clip_min = clip_min
      self.clip_max = clip_max
      self.y_target = y_target
      self.symbolic_impl = symbolic_impl
  
      if len(kwargs.keys()) > 0:
        warnings.warn("kwargs is unused and will be removed on or after "
                      "2019-04-26.")
  
      return True
docs: Take in a dictionary of parameters and applies attack-specific checks
      before saving them as attributes.
  
      Attack-specific parameters:
  
      :param theta: (optional float) Perturbation introduced to modified
                    components (can be positive or negative)
      :param gamma: (optional float) Maximum percentage of perturbed features
      :param clip_min: (optional float) Minimum component value for clipping
      :param clip_max: (optional float) Maximum component value for clipping
      :param y_target: (optional) Target tensor if the attack is targeted