code: def test_generic_text_dataset_preprocess_fn(self):
      dataset = _load_dataset("squad/v1.1:3.0.0")
  
      (example,) = tfds.as_numpy(dataset.take(1))
  
      self.assertNotIn("inputs", example)
      self.assertNotIn("targets", example)
  
      proc_dataset = tf_inputs.generic_text_dataset_preprocess_fn(
          dataset,
          spm_path=_spm_path(),
          text_preprocess_fns=[
              lambda ds, training: t5_processors.squad(ds)
          ],
          copy_pretokenized=True,
          debug_print_examples=True,
          debug_print_examples_rate=1.0,
      )
  
      (proc_example,) = tfds.as_numpy(proc_dataset.take(1))
  
      self.assertIn("inputs", proc_example)
      self.assertIn("targets", proc_example)
  
      self.assertEqual(proc_example["inputs"].dtype, np.int32)
      self.assertEqual(proc_example["targets"].dtype, np.int32)
  
imports: import collections
  import os
  from unittest import mock
  import gin
  import numpy
  from t5.data import assert_dataset
  from t5.data import preprocessors
  import tensorflow
  import tensorflow_datasets
  from trax.data import inputs
  from trax.data import tf_inputs
label_desc: Use image node_id 16 for calling the TFInputsTest obj's underlying member method code with example usage: obj.test_generic_text_dataset_preprocess_fn() without return types