code: def test_pandas_integer_index(bs_setup):
      x = bs_setup.x
      x_int = bs_setup.x_df.copy()
      x_int.index = 10 + np.arange(x.shape[0])
      bs = IIDBootstrap(x, x_int, seed=23456)
      for pdata, _ in bs.bootstrap(10):
          assert_equal(pdata[0], np.asarray(pdata[1]))
  
imports: from __future__ import annotations
  import copy
  from typing import Callable, NamedTuple
  import warnings
  import numpy
  from numpy.random import RandomState
  from numpy.testing import assert_allclose, assert_equal
  import pandas
  from pandas.testing import assert_frame_equal, assert_series_equal
  import pytest
  import scipy.stats
  from arch.bootstrap import CircularBlockBootstrap, IIDBootstrap, IndependentSamplesBootstrap, MovingBlockBootstrap, StationaryBootstrap
  from arch.bootstrap._samplers_python import stationary_bootstrap_sample
  from arch.bootstrap._samplers_python import stationary_bootstrap_sample_python
  from arch.bootstrap.base import _loo_jackknife
  from arch.utility.exceptions import StudentizationError
label_desc: Use image node_id 19 for calling a global function with example usage: test_pandas_integer_index(bs_setup) without return types