code: def fit(self, dataset):
      with torch.no_grad():
          for i, data in enumerate(dataset):
              dataset[i] = self._postprocess(
                  self._fit(self._preprocess(data))
              )
          return dataset
  
imports: import copy
  import torch
  import typing
  import autogl.data.graph
label_desc: Use image node_id 1 for calling the DataPreprocessor obj's underlying member method code with example usage: obj.fit(dataset) and returns: dataset