code: def __getitem__(self, idx):
      # 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.inputs["x"]))
      batch_x = self.inputs["x"][low:high]
      batch_y = self.inputs["y"][low:high]
      batch = {"x": batch_x, "y": batch_y}
      return batch
  
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 DictPyDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: batch