code: def main(_):
      pipeline_options = beam.options.pipeline_options.PipelineOptions(
          FLAGS.pipeline_options.split(",")
      )
  
      pipeline = create_glyphazzn_dataset(
          FLAGS.raw_data_file + "*", FLAGS.final_data_file
      )
      with beam.Pipeline(options=pipeline_options) as root:
          pipeline(root)
  
      pipeline = get_stats_of_glyphazzn(
          FLAGS.final_data_file + "*", FLAGS.final_stats_file
      )
      with beam.Pipeline(options=pipeline_options) as root:
          pipeline(root)
  
imports: from absl import app
  from absl import flags
  import apache_beam
  from magenta.models.svg_vae import svg_utils
  import numpy
  from tensor2tensor.data_generators import generator_utils
  import tensorflow.compat.v1
label_desc: Use image node_id 9 for calling a global function with example usage: main(_) without return types