code: def test_shape_mismatch(self, input_params, _expected):
      metric = ConfusionMatrix(**input_params)
      with self.assertRaises((AssertionError, ValueError)):
          y_pred = torch.Tensor([[0, 1], [1, 0]])
          y = torch.ones((2, 3))
          metric.update([y_pred, y])
  
      with self.assertRaises((AssertionError, ValueError)):
          y_pred = torch.Tensor([[0, 1], [1, 0]])
          y = torch.ones((3, 2))
          metric.update([y_pred, y])
  
file_path: MONAI/tests/test_handler_confusion_matrix.py
imports: from __future__ import annotations
  import unittest
  from typing import Any
  import torch
  from ignite.engine import Engine
  from parameterized import parameterized
  from monai.handlers import ConfusionMatrix
  from tests.utils import assert_allclose
label_desc: Use image node_id 3 for calling the TestHandlerConfusionMatrix obj's underlying member method code with example usage: obj.test_shape_mismatch(input_params, _expected) without return types