code: def _read_dipole_bdip(fname):
      name = None
      nfree = None
      with open(fname, "rb") as fid:
          # Which dipole in a multi-dipole set
          times = list()
          pos = list()
          amplitude = list()
          ori = list()
          gof = list()
          conf = dict(vol=list())
          khi2 = list()
          has_errors = None
          while True:
              num = np.frombuffer(fid.read(4), ">i4")
              if len(num) == 0:
                  break
              times.append(np.frombuffer(fid.read(4), ">f4")[0])
              fid.read(4)  # end
              fid.read(12)  # r0
              pos.append(np.frombuffer(fid.read(12), ">f4"))
              Q = np.frombuffer(fid.read(12), ">f4")
              amplitude.append(np.linalg.norm(Q))
              ori.append(Q / amplitude[-1])
              gof.append(100 * np.frombuffer(fid.read(4), ">f4")[0])
              this_has_errors = bool(
                  np.frombuffer(fid.read(4), ">i4")[0]
              )
              if has_errors is None:
                  has_errors = this_has_errors
                  for key in _BDIP_ERROR_KEYS:
                      conf[key] = list()
              assert has_errors == this_has_errors
              fid.read(4)  # Noise level used for error computations
              limits = np.frombuffer(
                  fid.read(20), ">f4"
              )  # error limits
              for key, lim in zip(_BDIP_ERROR_KEYS, limits):
                  conf[key].append(lim)
              fid.read(
                  100
              )  # (5, 5) fully describes the conf. ellipsoid
              conf["vol"].append(np.frombuffer(fid.read(4), ">f4")[0])
              khi2.append(np.frombuffer(fid.read(4), ">f4")[0])
              fid.read(4)  # prob
              fid.read(4)  # total noise estimate
      return Dipole(
          times, pos, amplitude, ori, gof, name, conf, khi2, nfree
      )
  
imports: import functools
  import re
  from copy import deepcopy
  from functools import partial
  import numpy
  from scipy.linalg import eigh
  from scipy.optimize import fmin_cobyla
  from ._fiff.constants import FIFF
  from ._fiff.pick import pick_types
  from ._fiff.proj import _needs_eeg_average_ref_proj, make_projector
  from ._freesurfer import _get_aseg, head_to_mni, head_to_mri, read_freesurfer_lut
  from .bem import _bem_find_surface, _bem_surf_name, _fit_sphere
  from .cov import _ensure_cov, compute_whitener
  from .evoked import _aspect_rev, _read_evoked, _write_evokeds
  from .fixes import _safe_svd, pinvh
  from .forward._compute_forward import _compute_forwards_meeg, _prep_field_computation
  from .forward._make_forward import _get_trans, _prep_eeg_channels, _prep_meg_channels, _setup_bem
  from .parallel import parallel_func
  from .source_space._source_space import SourceSpaces, _make_volume_source_space
  from .surface import _compute_nearest, _points_outside_surface, transform_surface_to
  from .transforms import _coord_frame_name, _print_coord_trans, apply_trans
  from .utils import ExtendedTimeMixin, TimeMixin, _check_fname, _check_option, _get_blas_funcs, _pl, _repeated_svd, _svd_lwork, _time_mask, _validate_type, _verbose_safe_false, check_fname, copy_function_doc_to_method_doc, fill_doc, logger, verbose, warn
  from .viz import plot_dipole_amplitudes, plot_dipole_locations
  from .viz.evoked import _plot_evoked
label_desc: Use image node_id 5 for calling a global function with example usage: _read_dipole_bdip(fname) and returns: Dipole