code: def test_shape_mismatch(
      self, input_params, y_pred, y, _expected_value
  ):
      input_params["output_transform"] = from_engine(["pred", "label"])
      metric = MetricsReloadedCategoricalHandler(**input_params)
      with self.assertRaises((AssertionError, ValueError)):
          y_pred[0] = torch.zeros([3, 2, 1])
          metric.update([y_pred, y])
  
file_path: MONAI/tests/test_handler_metrics_reloaded.py
imports: from __future__ import annotations
  import unittest
  import torch
  from ignite.engine import Engine, Events
  from parameterized import parameterized
  from monai.handlers import MetricsReloadedBinaryHandler, MetricsReloadedCategoricalHandler, from_engine
  from monai.utils import optional_import
  from tests.utils import assert_allclose
label_desc: Use image node_id 2 for calling the TestMetricsReloadedCategorical obj's underlying member method code with example usage: obj.test_shape_mismatch(input_params, y_pred, y, _expected_value) without return types