class_docstr: Transforms which draw a transform randomly among several transforms indicated in transform options
  Examples
  
  Parameters
  ----------
  transform_options Omegaconf list which contains the transform
class_docstr_tok: ["Transforms","which","draw","a","transform","randomly","among","several","transforms","indicated","in","transform","options","Examples","Parameters","--","--","--","--","--","transform_options","Omegaconf","list","which","contains","the","transform"]
code: def __repr__(self):
      rep = "LotteryTransform(["
      for trans in self.random_transforms.transforms:
          rep = rep + "{}, ".format(trans.__repr__())
      rep = rep + "])"
      return rep
  
imports: import sys
  import numpy
  import torch_geometric.transforms
  from .transforms import *
  from .grid_transform import *
  from .sparse_transforms import *
  from .inference_transforms import *
  from .feature_augment import *
  from .features import *
  from .filters import *
  from .precollate import *
  from .prebatchcollate import *
  from omegaconf.dictconfig import DictConfig
  from omegaconf.listconfig import ListConfig
  from omegaconf import OmegaConf
label_desc: Use image node_id 3 for calling the LotteryTransform obj's underlying member method code with example usage: obj.__repr__() and returns: rep