code: def __repr__(self):
      repr_str = (
          "Generator(%d, %d, %d -> [%d ~ %d], max = %d, %.3f ~ %.3f)"
          % (
              self.temporal,
              self.height,
              self.width,
              self.min_num_patches,
              self.max_num_patches,
              self.num_masking_patches,
              self.log_aspect_ratio[0],
              self.log_aspect_ratio[1],
          )
      )
      return repr_str
  
imports: import logging
  import math
  import numpy
  import random
  import torch
  import torchvision
  import torchvision.transforms.functional
  from PIL import Image, ImageFilter
  from scipy.ndimage import gaussian_filter
  from torchvision import transforms
  from .rand_augment import rand_augment_transform
  from .random_erasing import RandomErasing
label_desc: Use image node_id 2 for calling the MaskingGenerator3D obj's underlying member method code with example usage: obj.__repr__() and returns: repr_str