code: def test_center(
      data: ArrayLike, estimator: type[CovarianceEstimator]
  ):
      centered_cov = estimator(data, center=False, force_int=False)
      cov = estimator(data, force_int=False)
      assert centered_cov.bandwidth != cov.bandwidth
  
file_path: arch/arch/tests/covariance/test_covariance.py
imports: from itertools import product
  import numpy
  from numpy.testing import assert_allclose
  import pandas
  import pytest
  from arch.covariance.kernel import Andrews, Bartlett, CovarianceEstimate, CovarianceEstimator, Gallant, NeweyWest, Parzen, ParzenCauchy, ParzenGeometric, ParzenRiesz, QuadraticSpectral, TukeyHamming, TukeyHanning, TukeyParzen
  from arch.typing import ArrayLike
label_desc: Use image node_id 13 for calling a global function with example usage: test_center(data, estimator) without return types