code: def test_ica_twice(method):
      """Test running ICA twice."""
      _skip_check_picard(method)
      raw = read_raw_fif(raw_fname).crop(1.5, stop).load_data()
      raw.pick(raw.ch_names[::10])
      picks = pick_types(raw.info, meg="grad", exclude="bads")
      n_components = 0.99
      n_pca_components = 0.9999
      if method == "fastica":
          ctx = _record_warnings  # convergence, sometimes
      else:
          ctx = nullcontext
      ica1 = ICA(n_components=n_components, method=method)
  
      with ctx():
          ica1.fit(raw, picks=picks, decim=3)
      raw_new = ica1.apply(raw, n_pca_components=n_pca_components)
      ica2 = ICA(n_components=n_components, method=method)
      with ctx():
          ica2.fit(raw_new, picks=picks, decim=3)
      assert_equal(ica1.n_components_, ica2.n_components_)
  
imports: import os
  import shutil
  from contextlib import nullcontext
  from pathlib import Path
  import matplotlib.pyplot
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal, assert_equal
  from scipy import linalg, stats
  from scipy.io import loadmat, savemat
  from mne import Annotations, Epochs, EpochsArray, EvokedArray, Info, create_info, make_ad_hoc_cov, pick_channels_regexp, pick_types, read_events
  from mne._fiff.pick import _DATA_CH_TYPES_SPLIT, get_channel_type_constants
  from mne.cov import read_cov
  from mne.datasets import testing
  from mne.event import make_fixed_length_events
  from mne.io import RawArray, read_raw_ctf, read_raw_eeglab, read_raw_fif
  from mne.io.eeglab.eeglab import _check_load_mat
  from mne.preprocessing import ICA
  from mne.preprocessing import ica_find_ecg_events, ica_find_eog_events, read_ica
  from mne.preprocessing.ica import _ica_explained_variance, _sort_components, corrmap, get_score_funcs, read_ica_eeglab
  from mne.rank import _compute_rank_int
  from mne.utils import _record_warnings, catch_logging, check_version
label_desc: Use image node_id 18 for calling a global function with example usage: test_ica_twice(method) without return types