How to use the autogalaxy.plot.lensing_plotters.set_include_and_plotter function in autogalaxy

@lensing_plotters.set_include_and_plotter
@plotters.set_labels
def normalized_residual_map(fit, include=None, plotter=None):
    """Plot the residual-map of a lens fit.

    Set *autolens.datas.array.plotters.plotters* for a description of all input parameters not described below.

    Parameters
    -----------
    fit : datas.fitting.fitting.AbstractFitter
        The fit to the datas, which include a list of every model image, normalized_residual_map, chi-squareds, etc.
    image_index : int
        The index of the datas in the datas-set of which the normalized_residual_map are plotted.
    """
    plotter.plot_array(
        array=fit.normalized_residual_map,
        mask=include.mask_from_fit(fit=fit),

@lensing_plotters.set_include_and_plotter
@plotters.set_labels
def chi_squared_map(fit, include=None, plotter=None):
    """Plot the chi-squared map of a lens fit.

    Set *autolens.datas.array.plotters.plotters* for a description of all input parameters not described below.

    Parameters
    -----------
    fit : datas.fitting.fitting.AbstractFitter
        The fit to the datas, which include a list of every model image, residual_map, chi-squareds, etc.
    image_index : int
        The index of the datas in the datas-set of which the chi-squareds are plotted.
    """
    plotter.plot_array(
        array=fit.chi_squared_map,
        mask=include.mask_from_fit(fit=fit),

@lensing_plotters.set_include_and_plotter
@plotters.set_labels
def deflections_y(tracer, grid, include=None, plotter=None):

    deflections = tracer.deflections_from_grid(grid=grid)
    deflections_y = arrays.MaskedArray.manual_1d(
        array=deflections.in_1d[:, 0], mask=grid.mask
    )

    plotter.plot_array(
        array=deflections_y,
        mask=include.mask_from_grid(grid=grid),
        critical_curves=include.critical_curves_from_obj(obj=tracer),
        light_profile_centres=include.light_profile_centres_from_obj(obj=tracer),
        mass_profile_centres=include.mass_profile_centres_from_obj(obj=tracer),
        include_origin=include.origin,
    )

@lensing_plotters.set_include_and_plotter
@plotters.set_labels
def image(tracer, grid, positions=None, include=None, plotter=None):

    plotter.plot_array(
        array=tracer.image_from_grid(grid=grid),
        mask=include.mask_from_grid(grid=grid),
        positions=positions,
        critical_curves=include.critical_curves_from_obj(obj=tracer),
        light_profile_centres=include.light_profile_centres_from_obj(obj=tracer),
        mass_profile_centres=include.mass_profile_centres_from_obj(obj=tracer),
        include_origin=include.origin,
    )

@lensing_plotters.set_include_and_plotter
@plotters.set_labels
def contribution_map(tracer, mask=None, positions=None, include=None, plotter=None):

    plotter.plot_array(
        array=tracer.contribution_map,
        mask=mask,
        positions=positions,
        critical_curves=include.critical_curves_from_obj(obj=tracer),
        light_profile_centres=include.light_profile_centres_from_obj(obj=tracer),
        mass_profile_centres=include.mass_profile_centres_from_obj(obj=tracer),
        include_origin=include.origin,
    )

@lensing_plotters.set_include_and_plotter
@plotters.set_labels
def convergence(tracer, grid, include=None, plotter=None):

    plotter.plot_array(
        array=tracer.convergence_from_grid(grid=grid),
        mask=include.mask_from_grid(grid=grid),
        critical_curves=include.critical_curves_from_obj(obj=tracer),
        light_profile_centres=include.light_profile_centres_from_obj(obj=tracer),
        mass_profile_centres=include.mass_profile_centres_from_obj(obj=tracer),
        include_origin=include.origin,
    )

@lensing_plotters.set_include_and_plotter
@plotters.set_labels
def subtracted_image_of_plane(fit, plane_index, include=None, plotter=None):
    """Plot the model image of a specific plane of a lens fit.

    Set *autolens.datas.arrays.plotters.plotters* for a description of all input parameters not described below.

    Parameters
    -----------
    fit : datas.fitting.fitting.AbstractFitter
        The fit to the datas, which includes a list of every model image, residual_map, chi-squareds, etc.
    image_index : int
        The index of the datas in the datas-set of which the model image is plotted.
    plane_indexes : int
        The plane from which the model image is generated.
    """

@lensing_plotters.set_include_and_plotter
@plotters.set_labels
def deflections_x(tracer, grid, include=None, plotter=None):

    deflections = tracer.deflections_from_grid(grid=grid)
    deflections_x = arrays.MaskedArray.manual_1d(
        array=deflections.in_1d[:, 1], mask=grid.mask
    )

    plotter.plot_array(
        array=deflections_x,
        mask=include.mask_from_grid(grid=grid),
        critical_curves=include.critical_curves_from_obj(obj=tracer),
        light_profile_centres=include.light_profile_centres_from_obj(obj=tracer),
        mass_profile_centres=include.mass_profile_centres_from_obj(obj=tracer),
        include_origin=include.origin,
    )