code: def test_ica_reset(method):
      """Test ICA resetting."""
      _skip_check_picard(method)
      raw = read_raw_fif(raw_fname).crop(0.5, stop).load_data()
      picks = pick_types(
          raw.info,
          meg=True,
          stim=False,
          ecg=False,
          eog=False,
          exclude="bads",
      )[:10]
  
      run_time_attrs = (
          "pre_whitener_",
          "unmixing_matrix_",
          "mixing_matrix_",
          "n_components_",
          "n_samples_",
          "pca_components_",
          "pca_explained_variance_",
          "pca_mean_",
          "n_iter_",
      )
  
      ica = ICA(n_components=3, method=method, max_iter=1)
      assert ica.current_fit == "unfitted"
      with pytest.warns(UserWarning, match="did not converge"):
          ica.fit(raw, picks=picks)
  
      assert all(hasattr(ica, attr) for attr in run_time_attrs)
      assert ica.labels_ is not None
      assert ica.current_fit == "raw"
  
      ica._reset()
      assert not any(hasattr(ica, attr) for attr in run_time_attrs)
      assert ica.labels_ is not None
      assert ica.current_fit == "unfitted"
  
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 11 for calling a global function with example usage: test_ica_reset(method) without return types