code: def update(self, i, delta, loss_new):
      if self.verbose > 2:
          print(f"iter {i + 1:>6d}: update = {delta}")
      if self.verbose > 1:
          print(f"iter {i + 1:>6d}: loss = {loss_new:.10f}")
  
imports: import numbers
  import warnings
  import numpy
  from scipy.linalg import solve
  from sklearn.base import BaseEstimator
  from sklearn.exceptions import ConvergenceWarning
  from sklearn.utils._param_validation import Interval, StrOptions
  from sklearn.utils.validation import check_array, check_is_fitted
  from ..base import SurvivalAnalysisMixin
  from ..functions import StepFunction
  from ..nonparametric import _compute_counts
  from ..util import check_array_survival
label_desc: Use image node_id 4 for calling the VerboseReporter obj's underlying member method code with example usage: obj.update(i, delta, loss_new) without return types