code: def test_prediction_and_result_have_different_shape(self):
      metric = FBetaScore()
      with self.assertRaises(ValueError):
          metric(
              y_pred=torch.Tensor([[1, 1, 1], [1, 1, 1]]),
              y=torch.Tensor([1, 1, 1]),
          )
  
file_path: MONAI/tests/test_compute_f_beta.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from monai.metrics import FBetaScore
  from tests.utils import assert_allclose
label_desc: Use image node_id 8 for calling the TestFBetaScore obj's underlying member method code with example usage: obj.test_prediction_and_result_have_different_shape() without return types