code: def test_ter_empty_with_non_empty_hyp_class():
      """Test that zero is returned on empty target input for modular metric."""
      ter_metric = TranslationEditRate()
      preds = ["python"]
      targets = [[]]
      assert ter_metric(preds, targets) == tensor(0.0)
  
imports: from functools import partial
  from typing import Sequence
  import pytest
  from torch import Tensor, tensor
  from torchmetrics.functional.text.ter import translation_edit_rate
  from torchmetrics.text.ter import TranslationEditRate
  from torchmetrics.utilities.imports import _SACREBLEU_AVAILABLE
  from unittests.text.helpers import TextTester
  from unittests.text.inputs import _inputs_multiple_references, _inputs_single_sentence_multiple_references
label_desc: Use image node_id 5 for calling a global function with example usage: test_ter_empty_with_non_empty_hyp_class() without return types