code: def test_multiclass_wrong_inputs():
      re = Recall()
      assert re._updated is False
  
      with pytest.raises(ValueError):
          # incompatible shapes
          re.update(
              (
                  torch.rand(10, 5, 4),
                  torch.randint(0, 2, size=(10,)).long(),
              )
          )
      assert re._updated is False
  
      with pytest.raises(ValueError):
          # incompatible shapes
          re.update(
              (
                  torch.rand(10, 5, 6),
                  torch.randint(0, 5, size=(10, 5)).long(),
              )
          )
      assert re._updated is False
  
      with pytest.raises(ValueError):
          # incompatible shapes
          re.update(
              (
                  torch.rand(10),
                  torch.randint(0, 5, size=(10, 5, 6)).long(),
              )
          )
      assert re._updated is False
  
      re = Recall(average=True)
      assert re._updated is False
  
      with pytest.raises(ValueError):
          # incompatible shapes between two updates
          re.update(
              (
                  torch.rand(10, 5),
                  torch.randint(0, 5, size=(10,)).long(),
              )
          )
          re.update(
              (
                  torch.rand(10, 6),
                  torch.randint(0, 5, size=(10,)).long(),
              )
          )
      assert re._updated is True
  
      with pytest.raises(ValueError):
          # incompatible shapes between two updates
          re.update(
              (
                  torch.rand(10, 5, 12, 14),
                  torch.randint(0, 5, size=(10, 12, 14)).long(),
              )
          )
          re.update(
              (
                  torch.rand(10, 6, 12, 14),
                  torch.randint(0, 5, size=(10, 12, 14)).long(),
              )
          )
      assert re._updated is True
  
      re = Recall(average=False)
      assert re._updated is False
  
      with pytest.raises(ValueError):
          # incompatible shapes between two updates
          re.update(
              (
                  torch.rand(10, 5),
                  torch.randint(0, 5, size=(10,)).long(),
              )
          )
          re.update(
              (
                  torch.rand(10, 6),
                  torch.randint(0, 5, size=(10,)).long(),
              )
          )
      assert re._updated is True
  
      with pytest.raises(ValueError):
          # incompatible shapes between two updates
          re.update(
              (
                  torch.rand(10, 5, 12, 14),
                  torch.randint(0, 5, size=(10, 12, 14)).long(),
              )
          )
          re.update(
              (
                  torch.rand(10, 6, 12, 14),
                  torch.randint(0, 5, size=(10, 12, 14)).long(),
              )
          )
      assert re._updated is True
  
      with pytest.warns(
          RuntimeWarning,
          match="`y` should be of dtype long when entry type is multiclass",
      ):
          re = Recall()
          re.update(
              (
                  torch.rand(10, 5),
                  torch.randint(0, 5, size=(10,)).float(),
              )
          )
  
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 6 for calling a global function with example usage: test_multiclass_wrong_inputs() without return types