code: def __init__(self, inputs, batch_size=32, **kwargs):
      super().__init__(**kwargs)
      self.inputs = inputs
      self.batch_size = batch_size
  
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 1 to create a new DictPyDataset object from inherited base classes: py_dataset_adapter with example: obj = DictPyDataset(inputs, batch_size)