code: def decode_single_feature_from_dict(
      feature_k,
      feature,
      tfexample_dict):
    
    # Singleton case
    if not feature.serialized_keys:
      data_to_decode = tfexample_dict[feature_k]
    # Feature contains sub features
    else:
      # Extract the sub-features from the global feature dict
      data_to_decode = {
          k: tfexample_dict[posixpath.join(feature_k, k)]
          for k in feature.serialized_keys
      }
    return feature.decode_example(data_to_decode)
docs: Decode the given feature from the tfexample_dict.
  
    Args:
      feature_k (str): Feature key in the tfexample_dict
      feature (FeatureConnector): Connector object to use to decode the field
      tfexample_dict (dict): Dict containing the data to decode.
  
    Returns:
      decoded_feature: The output of the feature.decode_example