code: def _parse_single_sequence_example_raw(
      serialized, context, feature_list, debug_name, name=None
  ):
      """Parses a single `SequenceExample` proto.
  
      Args:
        serialized: A scalar (0-D Tensor) of type string, a single binary serialized
          `SequenceExample` proto.
        context: A `ParseOpParams` containing the parameters for the parse op for
          the context features.
        feature_list: A `ParseOpParams` containing the parameters for the parse op
          for the feature_list features.
        debug_name: A scalar (0-D Tensor) of strings (optional), the name of the
          serialized proto.
        name: A name for this operation (optional).
  
      Returns:
        A tuple of two `dict`s, each mapping keys to `Tensor`s and `SparseTensor`s.
        The first dict contains the context key/values.
        The second dict contains the feature_list key/values.
  
      Raises:
        TypeError: if feature_list.dense_defaults is not either None or a dict.
      """
      with ops.name_scope(
          name, "ParseSingleExample", [serialized, debug_name]
      ):
          serialized = ops.convert_to_tensor(
              serialized, name="serialized"
          )
          serialized = _assert_scalar(serialized, "serialized")
      return _parse_sequence_example_raw(
          serialized, debug_name, context, feature_list, name
      )[:2]
  
imports: from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_assert
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gen_parsing_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import parsing_config
  from tensorflow.python.ops import parsing_grad
  from tensorflow.python.ops.gen_parsing_ops import *
  from tensorflow.python.util import deprecation
  from tensorflow.python.util import dispatch
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 10 for calling a global function with example usage: _parse_single_sequence_example_raw(serialized, context, feature_list, debug_name, name) and returns: _parse_sequence_example_raw