class_docstr: Raw object from Artemis123 file.
  
  Parameters
  ----------
  input_fname : path-like
      Path to the Artemis123 data file (ending in ``'.bin'``).
  %(preload)s
  %(verbose)s
  
  See Also
  --------
  mne.io.Raw : Documentation of attributes and methods.
class_docstr_tok: ["Raw","object","from","Artemis123","file",".","Parameters","--","--","--","--","--","input_fname",":","path-like","Path","to","the","Artemis123","data","file","(","ending","in","``","'.bin","'","``",")",".","%","(","preload",")","s","%","(","verbose",")","s","See","Also","--","--","--","--","mne.io.Raw",":","Documentation","of","attributes","and","methods","."]
docstr: Read a chunk of raw data.
docstr_tok: ["Read","a","chunk","of","raw","data","."]
code: def _read_segment_file(self, data, idx, fi, start, stop, cals, mult):
      """Read a chunk of raw data."""
      _read_segments_file(
          self, data, idx, fi, start, stop, cals, mult, dtype=">f4"
      )
  
file_path: mne-python/mne/io/artemis123/artemis123.py
imports: import calendar
  import datetime
  import os.path
  import numpy
  from scipy.spatial.distance import cdist
  from ..._fiff._digitization import DigPoint, _make_dig_points
  from ..._fiff.constants import FIFF
  from ..._fiff.meas_info import _empty_info
  from ..._fiff.utils import _read_segments_file
  from ...transforms import Transform, apply_trans, get_ras_to_neuromag_trans
  from ...utils import _check_fname, logger, verbose, warn
  from ..base import BaseRaw
  from .utils import _load_mne_locs, _read_pos
label_desc: Use image node_id 2 for calling the RawArtemis123 obj's underlying member method code with example usage: obj._read_segment_file(data, idx, fi, start, stop, cals, mult) without return types