How to use the vedo.shapes.Sphere function in vedo

# get tractography points and represent as list
            if color_by == "target_region" and not is_any_item_in_list(
                inj_structures, VIP_regions
            ):
                alpha = others_alpha
            else:
                alpha = brainrender.TRACTO_ALPHA

            if alpha == 0:
                continue  # skip transparent ones

            # represent injection site as sphere
            if display_injection_volume:
                actors.append(
                    shapes.Sphere(
                        pos=t["injection-coordinates"],
                        c=color,
                        r=brainrender.INJECTION_VOLUME_SIZE
                        * t["injection-volume"],
                        alpha=brainrender.TRACTO_ALPHA,
                    )
                )
                actors[-1].name = (
                    str(t["injection-coordinates"]) + "_injection"
                )

            points = [p["coord"] for p in t["path"]]
            actors.append(
                shapes.Tube(
                    points,
                    r=brainrender.TRACTO_RADIUS,

def add_sphere_at_point(
        self, pos=[0, 0, 0], radius=100, color="black", alpha=1, **kwargs
    ):
        """
        Adds a shere at a location specified by the user

        :param pos: list of x,y,z coordinates (Default value = [0, 0, 0])
        :param radius: int, radius of the sphere (Default value = 100)
        :param color: color of the sphere (Default value = "black")
        :param alpha: transparency of the sphere (Default value = 1)
        :param **kwargs:
        """
        sphere = shapes.Sphere(
            pos=pos, r=radius, c=color, alpha=alpha, **kwargs
        )
        sphere.name = f"sphere {pos}"
        self.actors.append(sphere)
        return sphere

# get tractography points and represent as list
            if color_by == "target_region" and not is_any_item_in_list(
                inj_structures, VIP_regions
            ):
                alpha = others_alpha
            else:
                alpha = brainrender.TRACTO_ALPHA

            if alpha == 0:
                continue  # skip transparent ones

            # represent injection site as sphere
            if display_injection_volume:
                actors.append(
                    shapes.Sphere(
                        pos=t["injection-coordinates"],
                        c=color,
                        r=brainrender.INJECTION_VOLUME_SIZE
                        * t["injection-volume"],
                        alpha=brainrender.TRACTO_ALPHA,
                    )
                )

            points = [p["coord"] for p in t["path"]]
            actors.append(
                shapes.Tube(
                    points,
                    r=brainrender.TRACTO_RADIUS,
                    c=color,
                    alpha=alpha,
                    res=brainrender.TRACTO_RES,