code: def _maybe_shuffle_and_repeat(
      dataset, num_epochs, shuffle, shuffle_buffer_size, shuffle_seed
  ):
      """Optionally shuffle and repeat dataset, as requested."""
      if shuffle:
          dataset = dataset.shuffle(shuffle_buffer_size, shuffle_seed)
      if num_epochs != 1:
          dataset = dataset.repeat(num_epochs)
      return dataset
  
imports: import collections
  import csv
  import functools
  import gzip
  import numpy
  from tensorflow.python import tf2
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.data.experimental.ops import error_ops
  from tensorflow.python.data.experimental.ops import parsing_ops
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import map_op
  from tensorflow.python.data.ops import options
  from tensorflow.python.data.ops import readers
  from tensorflow.python.data.util import convert
  from tensorflow.python.data.util import nest
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.lib.io import file_io
  from tensorflow.python.ops import gen_experimental_dataset_ops
  from tensorflow.python.ops import io_ops
  from tensorflow.python.platform import gfile
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 9 for calling a global function with example usage: _maybe_shuffle_and_repeat(dataset, num_epochs, shuffle, shuffle_buffer_size, shuffle_seed) and returns: dataset