code: def __init__(self, data_t="np", multigraph=False, *args, **kwargs):
      super(BaseFeatureEngineer, self).__init__(
          data_t=data_t, multigraph=multigraph, *args, **kwargs
      )
      self.args = args
      self.kwargs = kwargs
  
imports: from operator import xor
  from .utils import data_is_tensor, data_tensor2np, data_np2tensor
  import numpy
  import copy
  from torch_geometric.utils.convert import to_networkx
  from torch.utils.data import Dataset
  import torch
  from ...utils import get_logger
label_desc: Use image node_id 1 to create a new BaseFeatureEngineer object from inherited base classes: BaseFeature with example: obj = BaseFeatureEngineer(data_t, multigraph)