code: def _create_graph_with_z_function_of_x_ragged():
      x = tf.compat.v1.ragged.placeholder(tf.int64, 2)
      y = x.to_sparse()
      z = tf.sparse.reduce_sum(y) + 1
      return {"x": x, "y": y, "z": z}
  
imports: import abc
  import os
  import tempfile
  import tensorflow
  from tensorflow_transform import graph_tools
  from tensorflow_transform import test_case
  from tfx_bsl.types import tfx_namedtuple
  from tensorflow.python.ops import control_flow_ops
label_desc: Use image node_id 10 for calling a global function with example usage: _create_graph_with_z_function_of_x_ragged() and returns: dict