code: def test_iou_wrong_input():
      with pytest.raises(
          TypeError,
          match="Argument cm should be instance of ConfusionMatrix",
      ):
          IoU(None)
  
      cm = ConfusionMatrix(num_classes=10)
      with pytest.raises(
          ValueError,
          match=r"ignore_index should be integer and in the range of \[0, 10\), but given -1",
      ):
          IoU(cm, ignore_index=-1)
  
      with pytest.raises(
          ValueError,
          match=r"ignore_index should be integer and in the range of \[0, 10\), but given a",
      ):
          IoU(cm, ignore_index="a")
  
      with pytest.raises(
          ValueError,
          match=r"ignore_index should be integer and in the range of \[0, 10\), but given 10",
      ):
          IoU(cm, ignore_index=10)
  
      with pytest.raises(
          ValueError,
          match=r"ignore_index should be integer and in the range of \[0, 10\), but given 11",
      ):
          IoU(cm, ignore_index=11)
  
imports: import os
  import numpy
  import pytest
  import torch
  from sklearn.metrics import accuracy_score, confusion_matrix, precision_score, recall_score
  import ignite.distributed
  from ignite.exceptions import NotComputableError
  from ignite.metrics import ConfusionMatrix, IoU, JaccardIndex, mIoU
  from ignite.metrics.confusion_matrix import cmAccuracy, cmPrecision, cmRecall, DiceCoefficient
label_desc: Use image node_id 10 for calling a global function with example usage: test_iou_wrong_input() without return types