class_docstr: Meta class defining interface for graph partitioning algorithms.
class_docstr_tok: ["Meta","class","defining","interface","for","graph","partitioning","algorithms","."]
docstr: Get the underlying data handler.
docstr_tok: ["Get","the","underlying","data","handler","."]
code: def get_data(self):
      """Get the underlying data handler."""
      return self._data
  
imports: import logging
  import os
  import shelve
  import tempfile
  from abc import ABC
  from datetime import datetime
  import numpy
  from ampligraph.utils.profiling import timing_and_memory
  from .graph_data_loader import GraphDataLoader
label_desc: Use image node_id 4 for calling the AbstractGraphPartitioner obj's underlying member method code with example usage: obj.get_data() and returns: self