code: def test_dict():
      a = {"data": [1, 2, 3, 4], "label": 0}
      b = {"data": [5, 7], "label": 1}
      c = {"data": [1, 2, 3, 4, 5, 6, 7], "label": 0}
      with pytest.raises(ValueError):
          wrong_batchify_fn = batchify.Dict(
              [batchify.Pad(), batchify.Stack()]
          )
      with pytest.raises(ValueError):
          wrong_batchify_fn = batchify.NamedTuple(
              _TestNamedTuple, {"a": 1, "b": 2}
          )
      batchify_fn = batchify.Dict(
          {"data": batchify.Pad(), "label": batchify.Stack()}
      )
      sample = batchify_fn([a, b, c])
      gt_data = batchify.Pad()([a["data"], b["data"], c["data"]])
      gt_label = batchify.Stack()([a["label"], b["label"], c["label"]])
      assert isinstance(sample, dict)
      assert_allclose(sample["data"].asnumpy(), gt_data.asnumpy())
      assert_allclose(sample["label"].asnumpy(), gt_label.asnumpy())
  
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 3 for calling a global function with example usage: test_dict() without return types