code: def test_duplicate_channel_labels_edf():
      """Test reading edf file with duplicate channel names."""
      EXPECTED_CHANNEL_NAMES = [
          "EEG F1-Ref-0",
          "EEG F2-Ref",
          "EEG F1-Ref-1",
      ]
      with pytest.warns(
          RuntimeWarning, match="Channel names are not unique"
      ):
          raw = read_raw_edf(
              duplicate_channel_labels_path, preload=False
          )
  
      assert raw.ch_names == EXPECTED_CHANNEL_NAMES
  
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 10 for calling a global function with example usage: test_duplicate_channel_labels_edf() without return types