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    Parameters
    ----------
    %(info_not_none)s
    %(trans_not_none)s
    %(subject)s
    %(subjects_dir)s
    %(picks_base)s only ``ecog`` channels.
    n_neighbors : int
        The number of neighbors to use to compute the normal vectors
        for the projection. Must be 2 or greater. More neighbors makes
        a normal vector with greater averaging which preserves the grid
        structure. Fewer neighbors has less averaging which better
        preserves contours in the grid.
    copy : bool
        If ``True``, return a new instance of ``info``, if ``False``
        ``info`` is modified in place.
    %(verbose)s

    Returns
    -------
    %(info_not_none)s

    Notes
    -----
    This is useful in ECoG analysis for compensating for "brain shift"
    or shrinking of the brain away from the skull due to changes
    in pressure during the craniotomy.

    To use the brain surface, a BEM model must be created e.g. using
    :ref:`mne watershed_bem` using the T1 or :ref:`mne flash_bem`
    using a FLASH scan.
    r   )ÚpdistÚ
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brain.surfz‡

The brain surface requires generating a BEM using `mne flash_bem` (if you have the FLASH scan) or `mne watershed_bem` (to use the T1)NZecogc                    s$   g | ]}ˆ d  | d dd… ‘qS )ÚchsÚlocNr   © )Ú.0Úidx©Úinfor   úa/var/www/html/bwave/python/venv/lib/python3.8/site-packages/mne/preprocessing/ieeg/_projection.pyÚ
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   ZzerosÚshapeÚnanÚ	enumerateZargsortÚmapÚzipr   r   ZmeanZlinalgZnormÚabsÚsumÚpiZargminr	   )r   ZtransÚsubjectZsubjects_dirZpicksr   r   r   r   r   ZsurfÚerrZ	picks_idxZlocsÚdistsZanglesZsurf_anglesZ	proj_locsÚir   Zneighbor_ptsZpt1Zpt2Zpt3ZnormalsÚnormalZuse_rrZ
surf_distsr   r   r   r   Úproject_sensors_onto_brain   sh    &
ÿ   ÿ
ý
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transformsr   r	   r
   r   Úutilsr   r   r   r   r8   r   r   r   r   Ú<module>   s          þ