code: def process_entry(data, name):
      """process_entry"""
      if data["type"] == "record":
          return process_record(data, name)
      if data["type"] == "enum":
          assert False
      if data["type"] == "array":
          assert False
      if data["type"] == "map":
          assert False
      if data["type"] == "fixed":
          assert False
      if isinstance(data["type"], list):
          return process_union(data, name)
      return process_primitive(data["type"], name)
  
file_path: io/tensorflow_io/python/experimental/serialization_ops.py
imports: import json
  import tensorflow
  from tensorflow_io.python.ops import core_ops
label_desc: Use image node_id 6 for calling a global function with example usage: process_entry(data, name) and returns: process_primitive, process_record, process_union