How to use the autogalaxy.galaxy.masked_galaxy_data.MaskedGalaxyDataset function in autogalaxy

galaxy_data
        mask: Mask
            The default masks passed in by the pipeline
        results: autofit.tools.pipeline.ResultsCollection
            The result from the previous phase

        Returns
        -------
        lens: Analysis
            An lens object that the non-linear search calls to determine the fit of a
             set of values
        """

        if self.use_image or self.use_convergence or self.use_potential:

            galaxy_data = masked_galaxy_data.MaskedGalaxyDataset(
                galaxy_data=galaxy_data[0],
                mask=mask,
                pixel_scales_interp=self.pixel_scales_interp,
                use_image=self.use_image,
                use_convergence=self.use_convergence,
                use_potential=self.use_potential,
                use_deflections_y=self.use_deflections,
                use_deflections_x=self.use_deflections,
            )

            return AnalysisSingle(
                galaxy_data=galaxy_data,
                cosmology=self.cosmology,
                image_path=self.search.paths.image_path,
                results=results,
            )

use_convergence=self.use_convergence,
                use_potential=self.use_potential,
                use_deflections_y=self.use_deflections,
                use_deflections_x=self.use_deflections,
            )

            return AnalysisSingle(
                galaxy_data=galaxy_data,
                cosmology=self.cosmology,
                image_path=self.search.paths.image_path,
                results=results,
            )

        elif self.use_deflections:

            galaxy_data_y = masked_galaxy_data.MaskedGalaxyDataset(
                galaxy_data=galaxy_data[0],
                mask=mask,
                pixel_scales_interp=self.pixel_scales_interp,
                use_image=self.use_image,
                use_convergence=self.use_convergence,
                use_potential=self.use_potential,
                use_deflections_y=self.use_deflections,
                use_deflections_x=False,
            )

            galaxy_data_x = masked_galaxy_data.MaskedGalaxyDataset(
                galaxy_data=galaxy_data[1],
                mask=mask,
                pixel_scales_interp=self.pixel_scales_interp,
                use_image=self.use_image,
                use_convergence=self.use_convergence,

)

        elif self.use_deflections:

            galaxy_data_y = masked_galaxy_data.MaskedGalaxyDataset(
                galaxy_data=galaxy_data[0],
                mask=mask,
                pixel_scales_interp=self.pixel_scales_interp,
                use_image=self.use_image,
                use_convergence=self.use_convergence,
                use_potential=self.use_potential,
                use_deflections_y=self.use_deflections,
                use_deflections_x=False,
            )

            galaxy_data_x = masked_galaxy_data.MaskedGalaxyDataset(
                galaxy_data=galaxy_data[1],
                mask=mask,
                pixel_scales_interp=self.pixel_scales_interp,
                use_image=self.use_image,
                use_convergence=self.use_convergence,
                use_potential=self.use_potential,
                use_deflections_y=False,
                use_deflections_x=self.use_deflections,
            )

            return AnalysisDeflections(
                galaxy_data_y=galaxy_data_y,
                galaxy_data_x=galaxy_data_x,
                cosmology=self.cosmology,
                image_path=self.search.paths.image_path,
                results=results,