code: def _hp_lp_rev(*args, **kwargs):
      out, orig_units = _read_edf_header(*args, **kwargs)
      out["lowpass"], out["highpass"] = out["highpass"], out["lowpass"]
      # this will happen for test_edf_stim_resamp.edf
      if (
          len(out["lowpass"])
          and out["lowpass"][0] == "0.000"
          and len(out["highpass"])
          and out["highpass"][0] == "0.0"
      ):
          out["highpass"][0] = "10.0"
      return out, orig_units
  
imports: import datetime
  from contextlib import nullcontext
  from functools import partial
  from pathlib import Path
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal, assert_equal
  from scipy.io import loadmat
  from mne import Annotations, pick_types
  from mne._fiff.pick import channel_indices_by_type, get_channel_type_constants
  from mne.annotations import _ndarray_ch_names, events_from_annotations, read_annotations
  from mne.datasets import testing
  from mne.io import edf, read_raw_bdf, read_raw_edf, read_raw_fif, read_raw_gdf
  from mne.io.edf.edf import _edf_str, _parse_prefilter_string, _read_annotations_edf, _read_ch, _read_edf_header, _read_header
  from mne.io.tests.test_raw import _test_raw_reader
  from mne.tests.test_annotations import _assert_annotations_equal
label_desc: Use image node_id 29 for calling a global function with example usage: _hp_lp_rev() and returns: out,  orig_units