code: def test_label_io_and_time_course_estimates():
      """Test IO for label + stc files."""
      stc = read_source_estimate(stc_fname)
      label = read_label(real_label_fname)
      stc_label = stc.in_label(label)
  
      assert len(stc_label.times) == stc_label.data.shape[1]
      assert len(stc_label.vertices[0]) == stc_label.data.shape[0]
  
imports: import glob
  import os
  import pickle
  import shutil
  from itertools import product
  from pathlib import Path
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal, assert_array_less, assert_equal
  from scipy import sparse
  from mne import grow_labels, labels_to_stc, morph_labels, random_parcellation, read_label, read_labels_from_annot, read_source_estimate, read_source_spaces, read_surface, spatial_tris_adjacency, split_label, stc_to_label, write_labels_to_annot
  from mne.datasets import testing
  from mne.label import Label, _blend_colors, _load_vert_pos, _n_colors, _read_annot, _read_annot_cands, label_sign_flip, select_sources
  from mne.source_estimate import mesh_edges
  from mne.source_space import SourceSpaces
  from mne.surface import _mesh_borders
  from mne.utils import _record_warnings, get_subjects_dir
label_desc: Use image node_id 7 for calling a global function with example usage: test_label_io_and_time_course_estimates() without return types