class_docstr: Container of tf.ragged.constant values.
  
  This simple wrapper forward the arguments to delay the RaggedTensor
  construction after `@run_in_graph_and_eager_modes` has been called.
  This is required to avoid incompabilities between Graph/eager.
code: def __init__(self, *args, **kwargs):
      self._args = args
      self._kwargs = dict(kwargs)
  
imports: import contextlib
  import dataclasses
  import functools
  from typing import Any, Optional, Type
  import dill
  from etils import enp
  import numpy
  from tensorflow_datasets.core import dataset_utils
  from tensorflow_datasets.core import features
  from tensorflow_datasets.core import utils
  from tensorflow_datasets.core.data_sources import python
  from tensorflow_datasets.core.features import feature
  from tensorflow_datasets.core.utils import tree_utils
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.testing import test_case
  from tensorflow_datasets.testing import test_utils
label_desc: Use image node_id 1 to create a new RaggedConstant object from inherited base classes: object with example: obj = RaggedConstant()