code: def shuffle_records(input_examples):
      """Shuffles the input_examples in a effectively random order."""
  
      def sha1(input_bytes):
          """Returns the sha1 hash of input_bytes."""
          m = hashlib.sha1()
          m.update(input_bytes)
          return m.digest()
  
      return (
          input_examples
          | "Randomize" >> beam.Map(lambda x: (sha1(x), x))
          | "Groupby" >> beam.GroupByKey()
          | "DropKey" >> beam.FlatMap(lambda x: x[1])
      )
  
file_path: deepvariant/tools/shuffle_tfrecords_beam.py
imports: import argparse
  import hashlib
  import logging
  import os
  import textwrap
  import apache_beam
  from apache_beam import coders
  from apache_beam.options.pipeline_options import PipelineOptions
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling a global function with example usage: shuffle_records(input_examples) and returns: unknown, m