code: def main(unused_args):
      options = generate_examples_lib.Options()
  
      options.output_path = FLAGS.output_path
      options.zip_to_output = FLAGS.zip_to_output
      options.known_bugs_are_errors = FLAGS.known_bugs_are_errors
      options.ignore_converter_errors = FLAGS.ignore_converter_errors
      options.save_graphdefs = FLAGS.save_graphdefs
      options.run_with_flex = FLAGS.run_with_flex
      options.make_edgetpu_tests = FLAGS.make_edgetpu_tests
      options.make_tf_ptq_tests = FLAGS.make_tf_ptq_tests
      options.tflite_convert_function = mlir_convert.mlir_convert
      options.known_bugs = MLIR_CONVERTER_KNOWN_BUGS
      options.make_forward_compat_test = FLAGS.make_forward_compat_test
      options.no_tests_limit = FLAGS.no_tests_limit
      options.mlir_quantizer = FLAGS.mlir_quantizer
      options.skip_high_dimension_inputs = (
          FLAGS.skip_high_dimension_inputs
      )
  
      if FLAGS.test_sets:
          test_sets = FLAGS.test_sets.split(",")
          generate_examples_lib.generate_multi_set_examples(
              options, test_sets
          )
      else:
          generate_examples_lib.generate_examples(options)
  
imports: import argparse
  import os
  import sys
  import tensorflow
  from tensorflow.lite.testing import generate_examples_lib
  from tensorflow.lite.testing import mlir_convert
label_desc: Use image node_id 1 for calling a global function with example usage: main(unused_args) without return types