code: def test_masked_case(self, device: str):
      metric = Entropy()
      # This would have non-zero entropy without the mask.
      logits = torch.tensor(
          [[1, 1, 1, 1], [10000, -10000, -10000, -1000]],
          dtype=torch.float,
          device=device,
      )
      mask = torch.tensor([False, True], device=device)
      metric(logits, mask)
      assert metric.get_metric()["entropy"] == 0.0
  
file_path: allennlp/tests/training/metrics/entropy_test.py
imports: from typing import Any, Dict, List, Tuple, Union
  import torch
  from torch.testing import assert_allclose
  from allennlp.common.testing import AllenNlpTestCase, multi_device, global_distributed_metric, run_distributed_test
  from allennlp.training.metrics import Entropy
label_desc: Use image node_id 3 for calling the EntropyTest obj's underlying member method code with example usage: obj.test_masked_case(device) without return types