code: def to_dict(self):
      if self.is_singleton():
          value = self.singleton()
          if isinstance(value, self.value_type):
              return value
          else:
              return value.to_dict()
      else:
          return OrderedDict(
              (
                  (name, arg)
                  if isinstance(arg, self.value_type)
                  else (name, arg.to_dict())
                  for name, arg in super(NestedDict, self).items()
              )
          )
  
imports: from collections import OrderedDict
  import numpy
  import tensorflow
  from tensorflow.python.training.tracking.tracking import AutoTrackable
  from tensorflow.python.training.tracking.data_structures import sticky_attribute_assignment
  from tensorforce.core.utils import NestedDict
label_desc: Use image node_id 3 for calling the ArrayDict obj's underlying member method code with example usage: obj.to_dict() and returns: OrderedDict, value, value