code: def __init__(self, *args, **kwargs):
      super(PYGGenerator, self).__init__(data_t="tensor")
      self._args = args
      self._kwargs = kwargs
  
imports: from torch_geometric.transforms.one_hot_degree import OneHotDegree
  from torch_geometric.utils import degree
  from torch_geometric.transforms.normalize_features import NormalizeFeatures
  from torch_geometric.transforms.local_degree_profile import LocalDegreeProfile
  from ..None import register_feature
  from .base import BaseGenerator
  import numpy
  from ..None import register_feature
  import torch
  from functools import wraps
label_desc: Use image node_id 1 to create a new PYGGenerator object from inherited base classes: BaseGenerator with example: obj = PYGGenerator()