code: def _mark_inner(arr_k, onsets, offsets, min_duration_samples):
      """Inner loop of _reject_short_segments()."""
      for start, stop in zip(onsets, offsets):
          if stop - start < min_duration_samples:
              arr_k[start:stop] = False
  
file_path: mne-python/mne/preprocessing/_annotate_amplitude.py
imports: import numpy
  from .._fiff.pick import _picks_by_type, _picks_to_idx
  from ..annotations import Annotations, _adjust_onset_meas_date, _annotations_starts_stops
  from ..fixes import jit
  from ..io import BaseRaw
  from ..utils import _mask_to_onsets_offsets, _validate_type, logger, verbose
label_desc: Use image node_id 6 for calling a global function with example usage: _mark_inner(arr_k, onsets, offsets, min_duration_samples) without return types