code: def __repr__(self):
      repr_str = (
          "MaskingGenerator(%d, %d -> [%d ~ %d], max = %d, %.3f ~ %.3f)"
          % (
              self.height,
              self.width,
              self.mask_group_min_patches,
              self.mask_group_max_patches,
              self.total_mask_patches,
              self.log_aspect_ratio[0],
              self.log_aspect_ratio[1],
          )
      )
      return repr_str
  
imports: import math
  import random
  from functools import lru_cache
  from typing import Any, List, Optional, Tuple, Union
  import numpy
  from PIL import Image
  from transformers.image_utils import PILImageResampling
  from ...feature_extraction_utils import BatchFeature, FeatureExtractionMixin
  from ...image_utils import ImageFeatureExtractionMixin, is_torch_tensor
  from ...utils import TensorType, logging
label_desc: Use image node_id 2 for calling the FlavaMaskingGenerator obj's underlying member method code with example usage: obj.__repr__() and returns: repr_str