code: def preprocess_input_examples_arg_string(input_examples_str):
      """Parses input into dict that maps input keys to lists of tf.Example.
  
      Parses input string in the format of 'input_key1=[{feature_name:
      feature_list}];input_key2=[{feature_name:feature_list}];' into a dictionary
      that maps each input_key to its list of serialized tf.Example.
  
      Args:
        input_examples_str: A string that specifies a list of dictionaries of
        feature_names and their feature_lists for each input.
        Each input is separated by semicolon. For each input key:
          'input=[{feature_name1: feature_list1, feature_name2:feature_list2}]'
          items in feature_list can be the type of float, int, long or str.
  
      Returns:
        A dictionary that maps input keys to lists of serialized tf.Example.
  
      Raises:
        ValueError: An error when the given tf.Example is not a list.
      """
      input_dict = preprocess_input_exprs_arg_string(input_examples_str)
      for input_key, example_list in input_dict.items():
          if not isinstance(example_list, list):
              raise ValueError(
                  'tf.Example input must be a list of dictionaries, but "%s" is %s'
                  % (example_list, type(example_list))
              )
          input_dict[input_key] = [
              _create_example_string(example)
              for example in example_list
          ]
      return input_dict
  
imports: import argparse
  import platform
  import ast
  import os
  import re
  from absl import app
  from absl import flags
  from absl.flags import argparse_flags
  import numpy
  from tensorflow.core.example import example_pb2
  from tensorflow.core.framework import types_pb2
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.debug.wrappers import local_cli_wrapper
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import function
  from tensorflow.python.framework import meta_graph
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.lib.io import file_io
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.saved_model import load
  from tensorflow.python.saved_model import load_options
  from tensorflow.python.saved_model import loader
  from tensorflow.python.saved_model import save
  from tensorflow.python.saved_model import signature_constants
  from tensorflow.python.tools import saved_model_aot_compile
  from tensorflow.python.tools import saved_model_utils
  from tensorflow.python.tpu import tpu
  from tensorflow.python.util.compat import collections_abc
label_desc: Use image node_id 21 for calling a global function with example usage: preprocess_input_examples_arg_string(input_examples_str) and returns: input_dict