code: def __getitem__(self, idx):
      batch_x = self.x[
          idx * self.batch_size : (idx + 1) * self.batch_size
      ]
      batch_y = self.y[
          idx * self.batch_size : (idx + 1) * self.batch_size
      ]
      return batch_x, batch_y
  
imports: import torch
  import tensorflow
  import os
  import numpy
  import keras
  from keras import layers
  from keras import ops
label_desc: Use image node_id 3 for calling the ExamplePyDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: batch_x,  batch_y