code: def test_shape_mismatch(
      self, input_params, _expected_avg, _details_shape
  ):
      iou_metric = MeanIoUHandler(**input_params)
      with self.assertRaises((AssertionError, ValueError)):
          y_pred = torch.Tensor([[0, 1], [1, 0]])
          y = torch.ones((3, 30))
          iou_metric.update([y_pred, y])
  
      with self.assertRaises((AssertionError, ValueError)):
          y_pred = torch.Tensor([[0, 1], [1, 0]])
          y = torch.ones((8, 30))
          iou_metric.update([y_pred, y])
  
file_path: MONAI/tests/test_handler_mean_iou.py
imports: from __future__ import annotations
  import unittest
  import torch
  from ignite.engine import Engine, Events
  from parameterized import parameterized
  from monai.handlers import MeanIoUHandler, from_engine
  from tests.utils import assert_allclose
label_desc: Use image node_id 2 for calling the TestHandlerMeanIoU obj's underlying member method code with example usage: obj.test_shape_mismatch(input_params, _expected_avg, _details_shape) without return types