code: def test_string(self, dtype, encoding: features_lib.Encoding):
      nonunicode_text = "hello world"
      unicode_text = "你好"
  
      self.assertFeature(
          feature=features_lib.Tensor(
              shape=(),
              dtype=dtype,
              encoding=encoding,
          ),
          shape=(),
          dtype=np.object_,
          tests=[
              # Non-unicode
              testing.FeatureExpectationItem(
                  value=nonunicode_text,
                  expected=tf.compat.as_bytes(nonunicode_text),
                  expected_np=tf.compat.as_bytes(nonunicode_text),
              ),
              # Unicode
              testing.FeatureExpectationItem(
                  value=unicode_text,
                  expected=tf.compat.as_bytes(unicode_text),
                  expected_np=tf.compat.as_bytes(unicode_text),
              ),
              # Empty string
              testing.FeatureExpectationItem(
                  value="",
                  expected=b"",
                  expected_np=b"",
              ),
              # Trailing zeros
              testing.FeatureExpectationItem(
                  value=b"abc\x00\x00",
                  expected=b"abc\x00\x00",
                  expected_np=b"abc\x00\x00",
              ),
          ],
      )
  
      self.assertFeature(
          feature=features_lib.Tensor(
              shape=(2, 1),
              dtype=dtype,
              encoding=encoding,
          ),
          shape=(2, 1),
          dtype=np.object_,
          tests=[
              testing.FeatureExpectationItem(
                  value=[[nonunicode_text], [unicode_text]],
                  expected=[
                      [tf.compat.as_bytes(nonunicode_text)],
                      [tf.compat.as_bytes(unicode_text)],
                  ],
                  expected_np=[
                      [tf.compat.as_bytes(nonunicode_text)],
                      [tf.compat.as_bytes(unicode_text)],
                  ],
              ),
              testing.FeatureExpectationItem(
                  value=[nonunicode_text, unicode_text],  # Wrong shape
                  raise_cls=ValueError,
                  raise_cls_np=ValueError,
                  raise_msg="(2,) and (2, 1) must have the same rank",
              ),
              testing.FeatureExpectationItem(
                  value=[["some text"], [123]],  # Wrong dtype
                  raise_cls=TypeError,
                  raise_cls_np=TypeError,
                  raise_msg="Expected binary or unicode string, got 123",
              ),
          ],
      )
  
imports: from absl.testing import parameterized
  import jax.numpy
  import numpy
  import pytest
  import tensorflow
  from tensorflow_datasets import testing
  from tensorflow_datasets.core import features
label_desc: Use image node_id 8 for calling the FeatureTensorTest obj's underlying member method code with example usage: obj.test_string(dtype, encoding) without return types