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, Dict, Iterable, List, Optional, Tuple, Union
  import numpy
  from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
  from ...image_transforms import resize, to_channel_dimension_format
  from ...image_utils import OPENAI_CLIP_MEAN, OPENAI_CLIP_STD, ChannelDimension, ImageInput, PILImageResampling, infer_channel_dimension_format, is_scaled_image, make_list_of_images, to_numpy_array, valid_images
  from ...utils import TensorType, is_vision_available, 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