code: def calculate_private_result(movie_views, pipeline_backend):
      return calc_dp_rating_metrics(
          movie_views, pipeline_backend, get_public_partitions()
      )
  
imports: from absl import app
  from absl import flags
  from apache_beam.runners.portability import fn_api_runner
  import pyspark
  from examples.movie_view_ratings.common_utils import *
  import pipeline_dp
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: calculate_private_result(movie_views, pipeline_backend) and returns: calc_dp_rating_metrics