code: def make_data():
      """Make data."""
      n_epochs, n_chan, n_time = 50, 32, 10
      X = np.random.rand(n_epochs, n_chan, n_time)
      y = np.arange(n_epochs) % 2
      for ii in range(n_time):
          coef = np.random.randn(n_chan)
          X[y == 0, :, ii] += coef
          X[y == 1, :, ii] -= coef
      return X, y
  
file_path: mne-python/mne/decoding/tests/test_search_light.py
imports: import platform
  from inspect import signature
  import numpy
  import pytest
  from numpy.testing import assert_array_equal, assert_equal
  from mne.decoding.search_light import GeneralizingEstimator, SlidingEstimator
  from mne.decoding.transformer import Vectorizer
  from mne.utils import _record_warnings, check_version, use_log_level
label_desc: Use image node_id 1 for calling a global function with example usage: make_data() and returns: X,  y