code: def __init__(self, preload=False, verbose=None):
      info = create_info(
          list(str(x) for x in range(1, 9)), 1000.0, "eeg"
      )
      super().__init__(
          info, preload, last_samps=(999,), verbose=verbose
      )
      assert len(self.times) == 1000
  
imports: import math
  import os
  import re
  from contextlib import redirect_stdout
  from io import StringIO
  from os import path
  from pathlib import Path
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal, assert_array_less
  import mne
  from mne import Annotations, concatenate_raws, create_info, pick_types
  from mne._fiff._digitization import DigPoint, _dig_kind_dict
  from mne._fiff.constants import FIFF
  from mne._fiff.meas_info import Info, _get_valid_units, _writing_info_hdf5
  from mne._fiff.pick import _ELECTRODE_CH_TYPES, _FNIRS_CH_TYPES_SPLIT
  from mne._fiff.proj import Projection
  from mne._fiff.utils import _mult_cal_one
  from mne.fixes import _numpy_h5py_dep
  from mne.io import BaseRaw, RawArray, read_raw_fif
  from mne.io.base import _get_scaling
  from mne.transforms import Transform
  from mne.utils import _import_h5io_funcs, _raw_annot, _stamp_to_dt, _TempDir, catch_logging, check_version, object_diff
label_desc: Use image node_id 1 to create a new _RawArange object from inherited base classes: BaseRaw with example: obj = _RawArange(preload, verbose)