code: def _create_none_optionals(func_graph, n):
      """Creates `n` `None` optionals in func_graph.
  
      Args:
        func_graph: FuncGraph.
        n: `int` the number of `None` optionals to make.
  
      Returns:
        A list of tensors in func_graph.
      """
      with func_graph.as_default():
          return [gen_optional_ops.optional_none() for _ in range(n)]
  
imports: import collections
  from tensorflow.core.framework import types_pb2
  from tensorflow.python.eager import backprop_util
  from tensorflow.python.framework import auto_control_deps
  from tensorflow.python.framework import auto_control_deps_utils
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import func_graph
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import none_tensor
  from tensorflow.python.framework import ops
  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.ops import array_ops
  from tensorflow.python.ops import control_flow_util
  from tensorflow.python.ops import control_flow_util_v2
  from tensorflow.python.ops import default_gradient
  from tensorflow.python.ops import gen_functional_ops
  from tensorflow.python.ops import gen_optional_ops
  from tensorflow.python.ops import gradients_util
  from tensorflow.python.ops import handle_data_util
  from tensorflow.python.ops import math_ops
  from tensorflow.python.util import nest
label_desc: Use image node_id 22 for calling a global function with example usage: _create_none_optionals(func_graph, n) and returns: unknown