code: def example_feature_columns():
      """Returns the example feature columns."""
      feature_names = [
          "custom_features_{}".format(i + 1)
          for i in range(FLAGS.num_features)
      ]
      return {
          name: tf.feature_column.numeric_column(
              name, shape=(1,), default_value=0.0
          )
          for name in feature_names
      }
  
imports: from absl import flags
  import tensorflow
  import tensorflow_ranking
label_desc: Use image node_id 1 for calling a global function with example usage: example_feature_columns() and returns: unknown