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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_window(self, window, bands=None, xsize=None, ysize=None, resampling=Resampling.cubic, masked=None, affine=None ):
 """Get window from raster. :param window: requested window :param bands: list of indices of requested bads, default None which returns all bands :param xsize: tile x size default None, for full resolution pass None :param ysize: tile y size default None, for full resolution pass None :param resampling: which Resampling to use on reading, default Resampling.cubic :param masked: if True uses the maks, if False doesn't use the mask, if None looks to see if there is a mask, if mask exists using it, the default None :return: GeoRaster2 of tile """

        bands = bands or list(range(1, self.num_bands + 1))

        # requested_out_shape and out_shape are different for out of bounds window
        out_shape = self._get_window_out_shape(bands, window, xsize, ysize)
        try:
            read_params = {
                "window": window,
                "resampling": resampling,
                "boundless": True,
                "out_shape": out_shape,
            }

            # to handle get_window / get_tile of in memory rasters
            filename = self._raster_backed_by_a_file()._filename
            with self._raster_opener(filename) as raster:  # type: rasterio.io.DatasetReader
                read_params["masked"] = self._read_with_mask(raster, masked)
                array = raster.read(bands, **read_params)
            nodata = 0 if not np.ma.isMaskedArray(array) else None
            affine = affine or self._calculate_new_affine(window, out_shape[2], out_shape[1])
            raster = self.copy_with(image=array, affine=affine, nodata=nodata)

            return raster

        except (rasterio.errors.RasterioIOError, rasterio._err.CPLE_HttpResponseError) as e:
            raise GeoRaster2IOError(e)