code: def test_input_context(self):
      split_info = self._write_tfrecord("train", 5, "abcdefghijkl")
      self.assertEqual(split_info.shard_lengths, [2, 3, 2, 3, 2])
  
      def read(num_workers, index):
          return list(
              tfds.as_numpy(
                  self.reader.read(
                      instructions="train",
                      split_infos=[split_info],
                      read_config=read_config_lib.ReadConfig(
                          input_context=tf.distribute.InputContext(
                              num_input_pipelines=num_workers,
                              input_pipeline_id=index,
                          ),
                      ),
                      # Workers should read a deterministic subset of the examples,
                      # even if examples within one worker may be shuffled.
                      shuffle_files=True,
                  )
              )
          )
  
      def _b(bytes_str):
          # Convert to List[bytes] (rather than List[int])
          return [bytes([b]) for b in bytes_str]
  
      # Read all the data (single pipeline)
      self.assertCountEqual(
          read(num_workers=1, index=0), _b(b"abcdefghijkl")
      )
      # Read part of the data (workers should not overlapp)
      self.assertCountEqual(
          read(num_workers=3, index=0), _b(b"abhij")
      )  # 0, 3
      self.assertCountEqual(
          read(num_workers=3, index=1), _b(b"cdekl")
      )  # 1, 4
      self.assertEqual(
          read(num_workers=3, index=2), _b(b"fg")
      )  # Shards 2
      # If num_workers == num_shards, then a single shard is read
      self.assertEqual(
          read(num_workers=5, index=1), _b(b"cde")
      )  # Shard 1
      # If num_workers > num_shards, raise error
      with self.assertRaisesRegex(
          ValueError, "Cannot shard the pipeline"
      ):
          read(num_workers=6, index=0)
  
imports: import functools
  import itertools
  import os
  from unittest import mock
  import tensorflow
  import tensorflow_datasets
  from tensorflow_datasets import testing
  from tensorflow_datasets.core import example_parser
  from tensorflow_datasets.core import naming
  from tensorflow_datasets.core import reader
  from tensorflow_datasets.core import splits
  from tensorflow_datasets.core import writer
  from tensorflow_datasets.core.utils import read_config
  from tensorflow_datasets.core.utils import shard_utils
label_desc: Use image node_id 12 for calling the ReaderTest obj's underlying member method code with example usage: obj.test_input_context() and returns: list, unknown