                  bottom += 1
  
          # Shift the box if any points fall below zero
          if left < 0:
              right += abs(left)
              left += abs(left)
          if top < 0:
              bottom += abs(top)
              top += abs(top)
  
          # Make sure box is always square.
 
</s> remove             bottom += abs(top)
            top += abs(top)
 </s> add             shift_down = abs(top)
            bottom += shift_down
            top += shift_down </s> remove             points = np.array(prediction).flatten()
            points = np.reshape(points, (-1, 2))
 </s> add             points = np.reshape(prediction, (-1, 2)) </s> remove         image = cv2.warpAffine(image,  # pylint: disable=no-member
                               rotation_matrix,
                               (self.input_size, self.input_size))
 </s> add         image = cv2.warpAffine(image, rotation_matrix, (self.input_size, self.input_size)) </s> remove         rotation_matrix = cv2.getRotationMatrix2D(  # pylint: disable=no-member
            image_center, -1.*angle, 1.)
 </s> add         rotation_matrix = cv2.getRotationMatrix2D(image_center, -1.*angle, 1.) </s> remove                 scale_img = cv2.resize(crop_img, (48, 48))  # pylint:disable=no-member
 </s> add                 scale_img = cv2.resize(crop_img, (48, 48))
            shift_right = abs(left)
            right += shift_right
            left += shift_right
                  bottom += 1
  
          # Shift the box if any points fall below zero
          if left < 0:
            shift_right = abs(left)
            right += shift_right
            left += shift_right
            shift_right = abs(left)
            right += shift_right
            left += shift_right
          if top < 0:
              bottom += abs(top)
              top += abs(top)
  
          # Make sure box is always square.
keep keep keep keep replace replace keep keep keep keep keep
 # pylint:disable=no-member cleanup (#927)

# pylint:disable=no-member cleanup 
plugins/extract/align/cv2_dnn.py