code: def _get_penalty(self):
      if isinstance(self.penalty, str):
          # l2 penalty is governed by the alpha keyword in `_sag_fit`.
          # beta governs the strength of the penalties below.
          penalties = {
              "l1": L1Penalty(),
          }
          return penalties[self.penalty]
      else:
          return self.penalty
  
imports: import numpy
  from .base import BaseClassifier, BaseRegressor
  from .dataset_fast import get_dataset
  from .sag_fast import _sag_fit, get_auto_step_size
  from .sgd_fast import ModifiedHuber
  from .sgd_fast import SmoothHinge
  from .sgd_fast import SquaredHinge
  from .sgd_fast import Log
  from .sgd_fast import SquaredLoss
  from .sag_fast import L1Penalty
label_desc: Use image node_id 2 for calling the _BaseSAG obj's underlying member method code with example usage: obj._get_penalty() and returns: penalties, self