text: # coding=utf-8
  # Copyright 2020 The uncertainty_metrics Authors.
  #
  # Licensed 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.
  
  """Tests for AUC."""
  
  import tensorflow.compat.v2 as tf
  import uncertainty_metrics as um
  
  
  class AucTest(tf.test.TestCase):
  
    def test_AUC(self):
      m = um.AUC(num_thresholds=3)
      _ = m.update_state([0, 0, 1, 1], [0, 0.5, 0.3, 0.9])
      # threshold values are [0 - 1e-7, 0.5, 1 + 1e-7]
      # tp = [2, 1, 0], fp = [2, 0, 0], fn = [0, 1, 2], tn = [0, 2, 2]
      # recall = [1, 0.5, 0], fp_rate = [1, 0, 0]
      # auc = ((((1+0.5)/2)*(1-0))+ (((0.5+0)/2)*(0-0))) = 0.75
      self.assertAlmostEqual(m.result().numpy(), 0.75)
  
  if __name__ == '__main__':
    tf.enable_v2_behavior()
    tf.test.main()
  