code: def get_dense_size(self):
      return self.N * self.D * BYTESPERREAL / BYTESPERGB
  
imports: import os
  import pickle
  import sys
  import time
  import numpy
  import scipy.sparse
  from sklearn.datasets import load_svmlight_file
  import torch
  from torch.utils.data import DataLoader, Dataset
  from torch.utils.data.dataloader import _SingleProcessDataLoaderIter, _MultiProcessingDataLoaderIter, _utils
  from .None import constants
  from .None import syssettings
label_desc: Use image node_id 2 for calling the PrepareData obj's underlying member method code with example usage: obj.get_dense_size() and returns: unknown