code: def _cluster_indices_to_mask(components, n_tot):
      """Convert to the old format of clusters, which were bool arrays."""
      for ci, c in enumerate(components):
          components[ci] = np.zeros((n_tot), dtype=bool)
          components[ci][c] = True
      return components
  
imports: import numpy
  from scipy import ndimage, sparse
  from scipy.sparse.csgraph import connected_components
  from scipy.stats import f
  from scipy.stats import t
  from ..fixes import has_numba, jit
  from ..parallel import parallel_func
  from ..source_estimate import MixedSourceEstimate, SourceEstimate, VolSourceEstimate
  from ..source_space import SourceSpaces
  from ..utils import ProgressBar, _check_option, _pl, _validate_type, check_random_state, logger, split_list, verbose, warn
  from .parametric import f_oneway, ttest_1samp_no_p
label_desc: Use image node_id 16 for calling a global function with example usage: _cluster_indices_to_mask(components, n_tot) and returns: components