code: def _parse_flags(argv: List[str]) -> argparse.Namespace:
      """Command lines flag parsing."""
      parser = argparse_flags.ArgumentParser()
      parser.add_argument(
          "--num_examples",
          help=("Number of examples to send to the server."),
          default=1,
          type=int,
      )
  
      parser.add_argument(
          "--server",
          help=(
              "Prediction service host:port or aiplatform:model:version"
          ),
          required=True,
      )
  
      parser.add_argument(
          "--examples_file",
          help=("Path to csv file containing examples."),
          required=True,
      )
  
      parser.add_argument(
          "--schema_file",
          help="File holding the schema for the input data",
      )
      return parser.parse_args(argv[1:])
  
imports: import argparse
  import base64
  import csv
  import json
  import os
  import subprocess
  import tempfile
  from typing import List
  from absl import app
  from absl.flags import argparse_flags
  import requests
  import tensorflow_data_validation
  from tensorflow_transform import coders
  from tensorflow_transform.tf_metadata import schema_utils
  from google.protobuf import text_format
  from tensorflow.python.lib.io import file_io
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 7 for calling a global function with example usage: _parse_flags(argv) and returns: parser