code: def _read_annotations_csv(fname):
      """Read annotations from csv.
  
      Parameters
      ----------
      fname : path-like
          The filename.
  
      Returns
      -------
      annot : instance of Annotations
          The annotations.
      """
      pd = _check_pandas_installed(strict=True)
      df = pd.read_csv(fname, keep_default_na=False)
      orig_time = df["onset"].values[0]
      try:
          float(orig_time)
          warn(
              "It looks like you have provided annotation onsets as floats. "
              "These will be interpreted as MILLISECONDS. If that is not what "
              "you want, save your CSV as a TXT file; the TXT reader accepts "
              "onsets in seconds."
          )
      except ValueError:
          pass
      onset_dt = pd.to_datetime(df["onset"])
      onset = (onset_dt - onset_dt[0]).dt.total_seconds()
      duration = df["duration"].values.astype(float)
      description = df["description"].values
      ch_names = None
      if "ch_names" in df.columns:
          ch_names = [
              _safe_name_list(val, "read", "annotation channel name")
              for val in df["ch_names"].values
          ]
      return Annotations(
          onset, duration, description, orig_time, ch_names
      )
  
imports: import json
  import os.path
  import re
  import warnings
  from collections import Counter, OrderedDict
  from collections.abc import Iterable
  from copy import deepcopy
  from datetime import datetime, timedelta, timezone
  from itertools import takewhile
  from textwrap import shorten
  import numpy
  from scipy.io import loadmat
  from ._fiff.constants import FIFF
  from ._fiff.open import fiff_open
  from ._fiff.tag import read_tag
  from ._fiff.tree import dir_tree_find
  from ._fiff.write import _safe_name_list, end_block, start_and_end_file, start_block, write_double, write_float, write_name_list_sanitized, write_string
  from .utils import _check_dict_keys, _check_dt, _check_fname, _check_option, _check_pandas_installed, _check_time_format, _convert_times, _DefaultEventParser, _dt_to_stamp, _is_numeric, _mask_to_onsets_offsets, _on_missing, _pl, _stamp_to_dt, _validate_type, check_fname, fill_doc, int_like, logger, verbose, warn
label_desc: Use image node_id 11 for calling a global function with example usage: _read_annotations_csv(fname) and returns: Annotations