code: def test_fit_verbose(make_whas500):
      whas500_data = make_whas500(with_std=False, to_numeric=True)
  
      model = ComponentwiseGradientBoostingSurvivalAnalysis(
          n_estimators=10, verbose=1, random_state=0
      )
      model.fit(whas500_data.x, whas500_data.y)
  
imports: from contextlib import nullcontext
  from os.path import dirname, join
  import numpy
  from numpy.testing import assert_array_almost_equal, assert_array_equal
  import pandas
  import pytest
  from sklearn.metrics import mean_squared_error
  from sksurv.column import categorical_to_numeric, standardize
  from sksurv.datasets import load_whas500
  from sksurv.ensemble import ComponentwiseGradientBoostingSurvivalAnalysis, GradientBoostingSurvivalAnalysis
  from sksurv.testing import FixtureParameterFactory, assert_cindex_almost_equal
  from sksurv.util import Surv
label_desc: Use image node_id 6 for calling the TestComponentwiseGradientBoosting obj's underlying member method code with example usage: obj.test_fit_verbose(make_whas500) without return types