def _make_image_mask(outlines, pos, res):
    """Aux function
    """

    mask_ = np.c_[outlines['mask_pos']]
    xmin, xmax = (np.min(np.r_[np.inf, mask_[:, 0]]),
                  np.max(np.r_[-np.inf, mask_[:, 0]]))
    ymin, ymax = (np.min(np.r_[np.inf, mask_[:, 1]]),
                  np.max(np.r_[-np.inf, mask_[:, 1]]))

    if outlines.get('autoshrink', False) > False:
        inside = _inside_contour(pos, mask_)
        outside = np.invert(inside)
        outlier_points = pos[outside]
        while np.any(outlier_points):  # auto shrink
            pos *= 0.99
            inside = _inside_contour(pos, mask_)
            outside = np.invert(inside)
            outlier_points = pos[outside]

    image_mask = np.zeros((res, res), dtype=bool)
    xi_mask = np.linspace(xmin, xmax, res)
    yi_mask = np.linspace(ymin, ymax, res)
    Xi_mask, Yi_mask = np.meshgrid(xi_mask, yi_mask)

    pos_ = np.c_[Xi_mask.flatten(), Yi_mask.flatten()]
    inds = _inside_contour(pos_, mask_)
    image_mask[inds.reshape(image_mask.shape)] = True

    return image_mask, pos
dataset/ETHPy150Open mne-tools/mne-python/mne/viz/topomap.py/_make_image_mask/operator `is not` -> `>`