code: def test_feature__repr__(self):
      label = features_lib.ClassLabel(names=["m", "f"])
      feature_dict = features_lib.FeaturesDict(
          {
              "metadata": features_lib.Sequence(
                  {
                      "frame": features_lib.Image(shape=(32, 32, 3)),
                  }
              ),
              "label": features_lib.Sequence(label),
          }
      )
  
      self.assertEqual(
          repr(feature_dict),
          textwrap.dedent(
              """\
          FeaturesDict({
              'label': Sequence(ClassLabel(shape=(), dtype=int64, num_classes=2)),
              'metadata': Sequence({
                  'frame': Image(shape=(32, 32, 3), dtype=uint8),
              }),
          })"""
          ),
      )
  
imports: import pathlib
  import sys
  import textwrap
  from unittest import mock
  from absl import logging
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_datasets import testing
  from tensorflow_datasets.core import features
label_desc: Use image node_id 5 for calling the FeatureDictTest obj's underlying member method code with example usage: obj.test_feature__repr__() without return types