code: def test_no_update():
      recall = Recall()
      assert recall._updated is False
      with pytest.raises(
          NotComputableError,
          match=r"Recall must have at least one example before it can be computed",
      ):
          recall.compute()
      assert recall._updated is False
  
      recall = Recall(is_multilabel=True)
      assert recall._updated is False
      with pytest.raises(
          NotComputableError,
          match=r"Recall must have at least one example before it can be computed",
      ):
          recall.compute()
      assert recall._updated is False
  
imports: import os
  import warnings
  import pytest
  import torch
  from sklearn.exceptions import UndefinedMetricWarning
  from sklearn.metrics import recall_score
  import ignite.distributed
  from ignite.exceptions import NotComputableError
  from ignite.metrics import Recall
label_desc: Use image node_id 1 for calling a global function with example usage: test_no_update() without return types