code: def _prepare_info(inverse_operator):
      """Get a usable dict."""
      # in order to convert sub-leadfield matrix to evoked data type (pretending
      # it's an epoch, see in loop below), uses 'info' from inverse solution
      # because this has all the correct projector information
      info = deepcopy(inverse_operator["info"])
      with info._unlock():
          info["sfreq"] = 1000.0  # necessary
          info["projs"] = inverse_operator["projs"]
          info["custom_ref_applied"] = False
      return info
  
imports: from copy import deepcopy
  import numpy
  from mne.minimum_norm.inverse import InverseOperator
  from .._fiff.constants import FIFF
  from .._fiff.pick import pick_channels_forward
  from ..evoked import EvokedArray
  from ..forward.forward import Forward, convert_forward_solution
  from ..label import Label
  from ..source_estimate import _get_src_type, _make_stc, _prepare_label_extraction
  from ..source_space._source_space import SourceSpaces, _get_vertno
  from ..utils import _validate_type, logger, verbose
  from .inverse import apply_inverse
label_desc: Use image node_id 10 for calling a global function with example usage: _prepare_info(inverse_operator) and returns: info