code: def fit(self, X, y, sample_weight=None):
      _, time = y
      return super().fit(X, time, sample_weight=sample_weight)
  
imports: from abc import ABCMeta
  import numpy
  from sklearn.dummy import DummyRegressor
  from sklearn.ensemble._gb_losses import RegressionLossFunction
  from sklearn.utils.extmath import squared_norm
  from ..nonparametric import ipc_weights
  from ._coxph_loss import coxph_loss, coxph_negative_gradient
label_desc: Use image node_id 2 for calling the DummySurvivalEstimator obj's underlying member method code with example usage: obj.fit(X, y, sample_weight) and returns: super