code: def circular_anti_annular(cls, shape, pixel_scale, inner_radius_arcsec, outer_radius_arcsec, outer_radius_2_arcsec,
                                centre=(0., 0.), invert=False):
          
          mask = mask_util.mask_circular_anti_annular_from_shape_pixel_scale_and_radii(shape, pixel_scale, inner_radius_arcsec,
                                                                                       outer_radius_arcsec,
                                                                                       outer_radius_2_arcsec, centre)
          if invert: mask = np.invert(mask)
          return cls(array=mask.astype('bool'), pixel_scale=pixel_scale)
docs: Setup a mask where unmasked pixels are outside an annulus of input inner and outer arc second radii, but \
          within a second outer radius, and at a given centre.
  
          This mask there has two distinct unmasked regions (an inner circle and outer annulus), with an inner annulus \
          of masked pixels.
  
          Parameters
          ----------
          shape : (int, int)
              The (y,x) shape of the mask in units of pixels.
          pixel_scale: float
              The arc-second to pixel conversion factor of each pixel.
          inner_radius_arcsec : float
              The radius (in arc seconds) of the inner circle inside of which pixels are unmasked.
          outer_radius_arcsec : float
              The radius (in arc seconds) of the outer circle within which pixels are masked and outside of which they \
              are unmasked.
          outer_radius_2_arcsec : float
              The radius (in arc seconds) of the second outer circle within which pixels are unmasked and outside of \
              which they masked.
          centre: (float, float)
              The centre of the anti-annulus used to mask pixels.