code: def test_fails(self):
      for p in TEST_NDARRAYS:
          for q in (-1, 101):
              arr = p(
                  np.arange(100 * 101)
                  .reshape(1, 100, 101)
                  .astype(np.float32)
              )
              with self.assertRaises(ValueError):
                  percentile(arr, q)
  
file_path: MONAI/tests/test_utils_pytorch_numpy_unification.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.transforms.utils_pytorch_numpy_unification import mode, percentile
  from monai.utils import set_determinism
  from tests.utils import TEST_NDARRAYS, assert_allclose, skip_if_quick
label_desc: Use image node_id 4 for calling the TestPytorchNumpyUnification obj's underlying member method code with example usage: obj.test_fails() without return types