code: def unmasked_for_shape_and_pixel_scale(cls, shape, pixel_scale, invert=False):
          
          mask = np.full(tuple(map(lambda d: int(d), shape)), False)
          if invert: mask = np.invert(mask)
          return cls(array=mask, pixel_scale=pixel_scale)
docs: Setup a mask where all pixels are unmasked.
  
          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.