code: def _get_penalty(self):
      if hasattr(self.penalty, "projection"):
          return self.penalty
      penalties = {
          "l1": L1Penalty(),
          "l1/l2": L1L2Penalty(),
          "trace": TracePenalty(),
          "simplex": SimplexConstraint(),
          "l1-ball": L1BallConstraint(),
          "tv1d": TotalVariation1DPenalty(),
      }
      return penalties[self.penalty]
  
imports: import numpy
  from sklearn.utils.extmath import safe_sparse_dot
  from .base import BaseClassifier, BaseRegressor
  from .dataset_fast import get_dataset
  from .loss_fast import Squared
  from .loss_fast import SquaredHinge
  from .loss_fast import MulticlassSquaredHinge
  from .loss_fast import MulticlassLog
  from .penalty import L1Penalty
  from .penalty import L1L2Penalty
  from .penalty import TracePenalty
  from .penalty import SimplexConstraint
  from .penalty import L1BallConstraint
  from .penalty import TotalVariation1DPenalty
label_desc: Use image node_id 1 for calling the _BaseFista obj's underlying member method code with example usage: obj._get_penalty() and returns: penalties, self