docstr: Test the batching of the dataset.
docstr_tok: ["Test","the","batching","of","the","dataset","."]
code: def testInputTargetBatch(self):
      """Test the batching of the dataset."""
      vocabs = input_pipeline.create_vocabs(self._filename)
  
      attributes_input = [input_pipeline.CoNLLAttributes.FORM]
      attributes_target = [input_pipeline.CoNLLAttributes.XPOS]
      sentence_dataset = input_pipeline.sentence_dataset_dict(
          self._filename,
          vocabs,
          attributes_input,
          attributes_target,
          batch_size=2,
          bucket_size=10,
          repeat=1,
      )
  
      sentence_dataset_iter = iter(sentence_dataset)
  
      batch = next(sentence_dataset_iter)
      inputs = batch["inputs"].numpy().tolist()
      self.assertSameStructure(
          inputs,
          [
              [2.0, 3.0, 4.0, 5.0, 6.0, 0.0, 0.0, 0.0, 0.0, 0.0],
              [2.0, 3.0, 4.0, 5.0, 6.0, 0.0, 0.0, 0.0, 0.0, 0.0],
          ],
      )
      targets = batch["targets"].numpy().tolist()
      self.assertSameStructure(
          targets,
          [
              [2.0, 4.0, 5.0, 3.0, 6.0, 0.0, 0.0, 0.0, 0.0, 0.0],
              [2.0, 4.0, 5.0, 3.0, 6.0, 0.0, 0.0, 0.0, 0.0, 0.0],
          ],
      )
  
file_path: flax/examples/nlp_seq/input_pipeline_test.py
imports: import os
  from absl.testing import absltest
  import jax
  import tensorflow
  import input_pipeline
label_desc: Use image node_id 4 for calling the InputPipelineTest obj's underlying member method code with example usage: obj.testInputTargetBatch() without return types