text: #
  #  Licensed to the Apache Software Foundation (ASF) under one
  #  or more contributor license agreements.  See the NOTICE file
  #  distributed with this work for additional information
  #  regarding copyright ownership.  The ASF licenses this file
  #  to you under the Apache License, Version 2.0 (the
  #  "License"); you may not use this file except in compliance
  #  with the License.  You may obtain a copy of the License at
  #
  #    http://www.apache.org/licenses/LICENSE-2.0
  #
  #  Unless required by applicable law or agreed to in writing,
  #  software distributed under the License is distributed on an
  #  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  #  KIND, either express or implied.  See the License for the
  #  specific language governing permissions and limitations
  #  under the License.
  #
  
  import tensorflow as tf
  
  
  def one_hot_boolean_encode(boolean_features_as_integers, name='boolean_1_hot'):
      """
      :param boolean_features_as_integers: A tensor of booleans represented as integers, with final dimension 1.
      Expects 0 to indicate False, 1 to indicate True, -1 to indicate neither True or False
      :return: One-hot boolean encoding tensor of same shape as `boolean_features` but with last dimension 2 (
      one-hot size of boolean)
      """
      with tf.name_scope(name=name) as scope:
          return tf.squeeze(tf.one_hot(boolean_features_as_integers, 2, on_value=1, off_value=0), axis=-2)
  