class_docstr: A wrapper for lists to be treated as elements for `nest`.
class_docstr_tok: ["A","wrapper","for","lists","to","be","treated","as","elements","for","`","nest","`","."]
code: def as_list(self):
      return self._list
  
imports: import collections
  import copy
  import numpy
  from tensorflow.python.data.experimental.ops import cardinality
  from tensorflow.python.distribute.coordinator import cluster_coordinator
  from tensorflow.python.eager import context
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework import type_spec
  from tensorflow.python.keras import backend
  from tensorflow.python.keras.engine import keras_tensor
  from tensorflow.python.keras.utils import object_identity
  from tensorflow.python.keras.utils import tf_contextlib
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged import ragged_tensor_value
  from tensorflow.python.util import nest
label_desc: Use image node_id 2 for calling the ListWrapper obj's underlying member method code with example usage: obj.as_list() and returns: self