code: def test_pad():
      padded = (
          batchify.Pad(val=-1)([mx.np.array([]), mx.np.arange(1)])
          .asnumpy()
          .flatten()
          .tolist()
      )
      assert padded == [-1.0, 0.0]
      padded = (
          batchify.Pad(val=-1, round_to=2)(
              [mx.np.array([]), mx.np.arange(1)]
          )
          .asnumpy()
          .flatten()
          .tolist()
      )
      assert padded == [-1.0, -1.0, 0.0, -1.0]
  
file_path: gluon-nlp/tests/test_data_batchify.py
imports: import numpy
  from numpy.testing import assert_allclose
  from collections import namedtuple
  import mxnet
  from gluonnlp.data import batchify
  import pytest
label_desc: Use image node_id 4 for calling a global function with example usage: test_pad() without return types