code: def test_init_should_throw_exception_with_incompatible_mean_and_std(
      self,
  ):
      norm_mean = [0]
      norm_std = [1, 2]
      with self.assertRaises(ValueError) as error:
          metadata_info.InputImageTensorMd(
              norm_mean=norm_mean, norm_std=norm_std
          )
      self.assertEqual(
          f"norm_mean and norm_std are expected to be the same dim. But got "
          f"{len(norm_mean)} and {len(norm_std)}",
          str(error.exception),
      )
  
imports: import os
  import tempfile
  from absl.testing import absltest
  from absl.testing import parameterized
  import flatbuffers
  from mediapipe.tasks.metadata import metadata_schema_py_generated
  from mediapipe.tasks.metadata import schema_py_generated
  from mediapipe.tasks.python.metadata import metadata
  from mediapipe.tasks.python.metadata.metadata_writers import metadata_info
  from mediapipe.tasks.python.test import test_utils
label_desc: Use image node_id 2 for calling the InputImageTensorMdTest obj's underlying member method code with example usage: obj.test_init_should_throw_exception_with_incompatible_mean_and_std() without return types