class_docstr: Simple FeatureConnector implementing the based methods used for test.
class_docstr_tok: ["Simple","FeatureConnector","implementing","the","based","methods","used","for","test","."]
code: def get_tensor_info(self):
      # With this connector, the way the data is on disk ({'a', 'b'}) do not match
      # the way it is exposed to the user (int64), so we overwrite
      # FeaturesDict.get_tensor_info
      return features_lib.TensorInfo(shape=(), dtype=np.int64)
  
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 1 for calling the AnInputConnector obj's underlying member method code with example usage: obj.get_tensor_info() and returns: features_lib