Function _itv

mne/report/report.py:573–625

(function, fig, *, max_width=MAX_IMG_WIDTH, max_res=MAX_IMG_RES, **kwargs)

def _itv(function, fig, *, max_width=MAX_IMG_WIDTH, max_res=MAX_IMG_RES, **kwargs):
    from ..viz.backends.renderer import MNE_3D_BACKEND_TESTING, backend

    function(fig=fig, **kwargs)

    views = (
        "right_lateral",
        "right_anterolateral",
        "anterior",
        "left_anterolateral",
        "left_lateral",
        "superior",
        "right_posterolateral",
        "posterior",
        "left_posterolateral",
        "inferior",
    )

    images = []
    for view in views:
        if not MNE_3D_BACKEND_TESTING:
            set_3d_view(fig, **views_dicts["both"][view])
            backend._check_3d_figure(fig)
            im = backend._take_3d_screenshot(figure=fig)
        else:  # Testing mode
            im = np.zeros((2, 2, 3))
        images.append(im)

    images = np.concatenate(
        [np.concatenate(images[:5], axis=1), np.concatenate(images[5:], axis=1)], axis=0
    )

    if "info" in kwargs:  # fwd/inv do not have dig points
        try:
            dists = dig_mri_distances(
                info=kwargs["info"],
                trans=kwargs["trans"],
                subject=kwargs["subject"],
                subjects_dir=kwargs["subjects_dir"],
                on_defects="ignore",
            )
            caption = (
                f"Average distance from {len(dists)} digitized points to "
                f"head: {1e3 * np.mean(dists):.2f} mm"
            )
        except BaseException as e:
            caption = "Distances could not be calculated from digitized points"
            warn(f"{caption}: {e}")
    else:
        caption = None
    img = _fig_to_img(images, image_format="png", max_width=max_width, max_res=max_res)

    return img, caption


def _plot_ica_properties_as_arrays(