code: def test_as_tensor_produces_correct_output(self):
      field = ProductionRuleField("S -> [NP, VP]", is_global_rule=True)
      field.index(self.vocab)
      tensor_tuple = field.as_tensor(field.get_padding_lengths())
      assert isinstance(tensor_tuple, tuple)
      assert len(tensor_tuple) == 3
      assert tensor_tuple[0] == "S -> [NP, VP]"
      assert tensor_tuple[1] is True
      assert_almost_equal(
          tensor_tuple[2].detach().cpu().numpy(), [self.s_rule_index]
      )
  
      field = ProductionRuleField("S -> [NP, VP]", is_global_rule=False)
      field.index(self.vocab)
      tensor_tuple = field.as_tensor(field.get_padding_lengths())
      assert isinstance(tensor_tuple, tuple)
      assert len(tensor_tuple) == 3
      assert tensor_tuple[0] == "S -> [NP, VP]"
      assert tensor_tuple[1] is False
      assert tensor_tuple[2] is None
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/data/fields/production_rule_field_test.py
imports: from __future__ import absolute_import
  from collections import defaultdict
  from numpy.testing import assert_almost_equal
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Vocabulary
  from allennlp.data.fields import ListField, ProductionRuleField
label_desc: Use image node_id 5 for calling the TestProductionRuleField obj's underlying member method code with example usage: obj.test_as_tensor_produces_correct_output() without return types