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 __call__(self, data):
      list_transforms = self.random_transforms.transforms
      i = np.random.randint(len(list_transforms))
      transform = list_transforms[i]
      return transform(data)
  
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 2 for calling the LotteryTransform obj's underlying member method code with example usage: obj.__call__(data) and returns: transform