code: def _get_penalty(self, penalty):
      if isinstance(penalty, str):
          penalties = {
              "l1": L1Penalty(self.beta),
              "l2": None,  # Updated inside SAG.
          }
          return penalties[penalty]
      else:
          return penalty
  
imports: import numpy
  import pytest
  from scipy import sparse
  from sklearn.datasets import make_classification
  from lightning.impl.base import BaseClassifier
  from lightning.impl.dataset_fast import get_dataset
  from lightning.classification import SAGClassifier, SAGAClassifier
  from lightning.regression import SAGRegressor, SAGARegressor
  from lightning.impl.sgd_fast import ModifiedHuber
  from lightning.impl.sgd_fast import SmoothHinge
  from lightning.impl.sgd_fast import SquaredHinge
  from lightning.impl.sgd_fast import Log
  from lightning.impl.sgd_fast import SquaredLoss
  from lightning.impl.sag import get_auto_step_size
  from lightning.impl.tests.utils import check_predict_proba
label_desc: Use image node_id 2 for calling the PySAGClassifier obj's underlying member method code with example usage: obj._get_penalty(penalty) and returns: penalties, penalty