code: def _nlxheader_to_dict(matdict: dict) -> dict:
      """Convert the read-in "Header" field into a dict.
  
      All the key-value pairs of Header entries are formatted as strings
      (e.g. np.array("-AdbitVolts 0.000323513")) so we reformat that
      into dict by splitting at blank spaces.
      """
      entries = matdict["Header"][
          1::, :
      ]  # skip the first row which is just the "Header" string
  
      return {
          arr.item()
          .item()
          .split(" ")[0]
          .strip("-"): arr.item()
          .item()
          .split(" ")[-1]
          for arr in entries
          if arr[0].size > 0
      }
  
file_path: mne-python/mne/io/neuralynx/tests/test_neuralynx.py
imports: import os
  from ast import literal_eval
  import numpy
  import pytest
  from numpy.testing import assert_allclose
  from scipy.io import loadmat
  from mne.datasets.testing import data_path, requires_testing_data
  from mne.io import read_raw_neuralynx
  from mne.io.tests.test_raw import _test_raw_reader
label_desc: Use image node_id 1 for calling a global function with example usage: _nlxheader_to_dict(matdict) and returns: unknown