class_docstr: Dummy univariate ranking network with constant scoring function.
class_docstr_tok: ["Dummy","univariate","ranking","network","with","constant","scoring","function","."]
code: def score(
      self, context_features=None, example_features=None, training=True
  ):
      large_batch_size = tf.shape(example_features["utility"])[0]
      return tf.ones(shape=(large_batch_size, 1))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow.compat.v2
  from tensorflow_ranking.python.keras import network
label_desc: Use image node_id 1 for calling the _DummyUnivariateRankingNetwork obj's underlying member method code with example usage: obj.score(context_features, example_features, training) and returns: tf