code: def __getitem__(self, idx):
      # Create artificial delay to test multiprocessing
      time.sleep(self.delay)
  
      # Return x, y for batch idx.
      low = idx * self.batch_size
      # Cap upper bound at array length; the last batch may be smaller
      # if the total number of items is not a multiple of batch size.
      high = min(low + self.batch_size, len(self.x))
      batch_x = self.x[low:high]
      batch_y = self.y[low:high]
      if self.sample_weight is not None:
          return batch_x, batch_y, self.sample_weight[low:high]
      return batch_x, batch_y
  
imports: import math
  import time
  import numpy
  import tensorflow
  from absl.testing import parameterized
  from keras import testing
  from keras.trainers.data_adapters import py_dataset_adapter
  from keras.utils.rng_utils import set_random_seed
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, batch_x,  batch_y,  self