code: def make_batched_features_dataset_v1(
      file_pattern,  # pylint: disable=missing-docstring
      batch_size,
      features,
      reader=None,
      label_key=None,
      reader_args=None,
      num_epochs=None,
      shuffle=True,
      shuffle_buffer_size=10000,
      shuffle_seed=None,
      prefetch_buffer_size=None,
      reader_num_threads=None,
      parser_num_threads=None,
      sloppy_ordering=False,
      drop_final_batch=False,
  ):
      return dataset_ops.DatasetV1Adapter(
          make_batched_features_dataset_v2(
              file_pattern,
              batch_size,
              features,
              reader,
              label_key,
              reader_args,
              num_epochs,
              shuffle,
              shuffle_buffer_size,
              shuffle_seed,
              prefetch_buffer_size,
              reader_num_threads,
              parser_num_threads,
              sloppy_ordering,
              drop_final_batch,
          )
      )
  
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 14 for calling a global function with example usage: make_batched_features_dataset_v1(file_pattern, batch_size, features, reader, label_key, reader_args, num_epochs, shuffle, shuffle_buffer_size, shuffle_seed, prefetch_buffer_size, reader_num_threads, parser_num_threads, sloppy_ordering, drop_final_batch) and returns: dataset_ops