How to use the autoarray.plot.array function in autoarray

"""

    mask = plotter_util.get_mask_from_fit(fit=fit, mask=mask)

    if len(fit.contribution_maps) > 1:
        contribution_map = sum(fit.contribution_maps)
    else:
        contribution_map = fit.contribution_maps[0]

    positions = lens_plotter_util.get_positions_from_fit(fit=fit, positions=positions)

    unit_label, unit_conversion_factor = lens_plotter_util.get_unit_label_and_unit_conversion_factor(
        obj=fit.tracer.image_plane, plot_in_kpc=plot_in_kpc
    )

    aa.plot.array(
        array=contribution_map,
        mask=mask,
        points=positions,
        as_subplot=as_subplot,
        unit_label=unit_label,
        unit_conversion_factor=unit_conversion_factor,
        figsize=figsize,
        aspect=aspect,
        cmap=cmap,
        norm=norm,
        norm_min=norm_min,
        norm_max=norm_max,
        linthresh=linthresh,
        linscale=linscale,
        cb_ticksize=cb_ticksize,
        cb_fraction=cb_fraction,

include_mass_profile_centres=include_mass_profile_centres, fit=fit
    )

    unit_label, unit_conversion_factor = lens_plotter_util.get_unit_label_and_unit_conversion_factor(
        obj=fit.tracer.image_plane, plot_in_kpc=plot_in_kpc
    )

    positions = lens_plotter_util.get_positions_from_fit(fit=fit, positions=positions)

    critical_curves = lens_plotter_util.get_critical_curves_and_caustics_from_lensing_object(
        obj=fit.tracer,
        include_critical_curves=include_critical_curves,
        include_caustics=False,
    )

    aa.plot.array(
        array=fit.model_images_of_planes[plane_index],
        mask=mask,
        lines=critical_curves,
        points=positions,
        centres=centres,
        as_subplot=as_subplot,
        unit_label=unit_label,
        unit_conversion_factor=unit_conversion_factor,
        figsize=figsize,
        aspect=aspect,
        cmap=cmap,
        norm=norm,
        norm_min=norm_min,
        norm_max=norm_max,
        linthresh=linthresh,
        linscale=linscale,

deflections = plane.deflections_from_grid(grid=grid)
    deflections_x = grid.mapping.array_stored_1d_from_sub_array_1d(
        sub_array_1d=deflections[:, 1]
    )

    lines = lens_plotter_util.get_critical_curves_and_caustics_from_lensing_object(
        obj=plane,
        include_critical_curves=include_critical_curves,
        include_caustics=include_caustics,
    )

    unit_label, unit_conversion_factor = lens_plotter_util.get_unit_label_and_unit_conversion_factor(
        obj=plane, plot_in_kpc=plot_in_kpc
    )

    aa.plot.array(
        array=deflections_x,
        mask=mask,
        lines=lines,
        as_subplot=as_subplot,
        unit_label=unit_label,
        unit_conversion_factor=unit_conversion_factor,
        figsize=figsize,
        aspect=aspect,
        cmap=cmap,
        norm=norm,
        norm_min=norm_min,
        norm_max=norm_max,
        linthresh=linthresh,
        linscale=linscale,
        cb_ticksize=cb_ticksize,
        cb_fraction=cb_fraction,

output_format="show",
    output_filename="hyper_model_image",
):
    """Plot the image of a hyper_galaxies model image.

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

    Parameters
    -----------
    hyper_model_image : datas.imaging.datas.Imaging
        The hyper_galaxies model image.
    origin : True
        If true, the origin of the datas's coordinate system is plotted as a 'x'.
    """

    aa.plot.array(
        array=hyper_model_image,
        mask=mask,
        grid=image_plane_pix_grid,
        points=positions,
        as_subplot=as_subplot,
        unit_label=unit_label,
        unit_conversion_factor=kpc_per_arcsec,
        figsize=figsize,
        aspect=aspect,
        cmap=cmap,
        norm=norm,
        norm_min=norm_min,
        norm_max=norm_max,
        linthresh=linthresh,
        linscale=linscale,
        cb_ticksize=cb_ticksize,

output_format="show",
    output_filename="hyper_noise_map",
):
    """Plot the image of a hyper_galaxies galaxy image.

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

    Parameters
    -----------
    hyper_noise_map : datas.imaging.datas.Imaging
        The hyper_galaxies galaxy image.
    origin : True
        If true, the origin of the datas's coordinate system is plotted as a 'x'.
    """

    aa.plot.array(
        array=hyper_noise_map,
        mask=mask,
        grid=image_plane_pix_grid,
        points=positions,
        as_subplot=as_subplot,
        unit_label=unit_label,
        unit_conversion_factor=kpc_per_arcsec,
        figsize=figsize,
        aspect=aspect,
        cmap=cmap,
        norm=norm,
        norm_min=norm_min,
        norm_max=norm_max,
        linthresh=linthresh,
        linscale=linscale,
        cb_ticksize=cb_ticksize,

if include_grid:
        grid = plane_image.grid
    else:
        grid = None

    if origin:
        origin = plane_image.grid.origin
    else:
        origin = None

    unit_label, unit_conversion_factor = lens_plotter_util.get_unit_label_and_unit_conversion_factor(
        obj=plane, plot_in_kpc=plot_in_kpc
    )

    aa.plot.array(
        array=plane_image.array,
        origin=origin,
        points=positions,
        grid=grid,
        lines=lines,
        as_subplot=as_subplot,
        unit_label=unit_label,
        unit_conversion_factor=unit_conversion_factor,
        figsize=figsize,
        aspect=aspect,
        cmap=cmap,
        norm=norm,
        norm_min=norm_min,
        norm_max=norm_max,
        linthresh=linthresh,
        linscale=linscale,

output_format="show",
    output_filename="chi_squared_map",
):
    """Plot the image of a hyper_galaxies galaxy image.

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

    Parameters
    -----------
    chi_squared_map : datas.imaging.datas.Imaging
        The hyper_galaxies galaxy image.
    origin : True
        If true, the origin of the datas's coordinate system is plotted as a 'x'.
    """

    aa.plot.array(
        array=chi_squared_map,
        mask=mask,
        grid=image_plane_pix_grid,
        points=positions,
        as_subplot=as_subplot,
        unit_label=unit_label,
        unit_conversion_factor=kpc_per_arcsec,
        figsize=figsize,
        aspect=aspect,
        cmap=cmap,
        norm=norm,
        norm_min=norm_min,
        norm_max=norm_max,
        linthresh=linthresh,
        linscale=linscale,
        cb_ticksize=cb_ticksize,

output_format="show",
    output_filename="contribution_map",
):
    """Plot the image of a hyper_galaxies galaxy image.

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

    Parameters
    -----------
    contribution_map : datas.imaging.datas.Imaging
        The hyper_galaxies galaxy image.
    origin : True
        If true, the origin of the datas's coordinate system is plotted as a 'x'.
    """

    aa.plot.array(
        array=contribution_map,
        mask=mask,
        grid=image_plane_pix_grid,
        points=positions,
        as_subplot=as_subplot,
        unit_label=unit_label,
        unit_conversion_factor=kpc_per_arcsec,
        figsize=figsize,
        aspect=aspect,
        cmap=cmap,
        norm=norm,
        norm_min=norm_min,
        norm_max=norm_max,
        linthresh=linthresh,
        linscale=linscale,
        cb_ticksize=cb_ticksize,