code: def test_pad_dataset_to_length(self):
      ds = _test_dataset_ints([5, 6, 7], [6, 7, 8])
      ds1 = tf_inputs.pad_dataset_to_length(
          ds, True, len_map={"inputs": 7, "targets": 10}
      )
  
      expected_ds = [
          {
              "inputs": np.array([1, 1, 1, 1, 1, 0, 0], dtype=np.int64),
              "targets": np.array(
                  [1, 1, 1, 1, 1, 1, 0, 0, 0, 0], dtype=np.int64
              ),
          },
          {
              "inputs": np.array([1, 1, 1, 1, 1, 1, 0], dtype=np.int64),
              "targets": np.array(
                  [1, 1, 1, 1, 1, 1, 1, 0, 0, 0], dtype=np.int64
              ),
          },
          {
              "inputs": np.array([1, 1, 1, 1, 1, 1, 1], dtype=np.int64),
              "targets": np.array(
                  [1, 1, 1, 1, 1, 1, 1, 1, 0, 0], dtype=np.int64
              ),
          },
      ]
  
      assert_dataset(ds1, expected_ds)
  
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 21 for calling the TFInputsTest obj's underlying member method code with example usage: obj.test_pad_dataset_to_length() without return types