old_contents: # Copyright 2017 Google Inc. All Rights Reserved.
  #
  # 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.
  
  import json
  import socket
  
  import pytest
  
  import predict
  
  MODEL = 'census'
  JSON_VERSION = 'v2json'
  PROJECT = 'python-docs-samples-tests'
  EXPECTED_OUTPUT = {
      u'confidence': 0.7760370969772339,
      u'predictions': u' <=50K'
  }
  
  # Raise the socket timeout. The requests involved in the sample can take
  # a long time to complete.
  socket.setdefaulttimeout(60)
  
  
  with open('resources/census_test_data.json') as f:
      JSON = json.load(f)
  
  
  @pytest.mark.flaky
  def test_predict_json():
      result = predict.predict_json(
          PROJECT, MODEL, [JSON, JSON], version=JSON_VERSION)
      assert [EXPECTED_OUTPUT, EXPECTED_OUTPUT] == result
  
  
  @pytest.mark.flaky
  def test_predict_json_error():
      with pytest.raises(RuntimeError):
          predict.predict_json(
              PROJECT, MODEL, [{"foo": "bar"}], version=JSON_VERSION)
  
new_contents: # Copyright 2017 Google Inc. All Rights Reserved.
  #
  # 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.
  
  import json
  import socket
  
  import pytest
  
  import predict
  
  MODEL = 'census'
  JSON_VERSION = 'v2json'
  PROJECT = 'python-docs-samples-tests'
  CONF_KEY = u'confidence'
  PRED_KEY = u'predictions'
  EXPECTED_OUTPUT = {
      CONF_KEY: 0.7760370969772339,
      PRED_KEY: u' <=50K'
  }
  CONFIDENCE_EPSILON = 1e-4
  
  # Raise the socket timeout. The requests involved in the sample can take
  # a long time to complete.
  socket.setdefaulttimeout(60)
  
  
  with open('resources/census_test_data.json') as f:
      JSON = json.load(f)
  
  
  @pytest.mark.flaky
  def test_predict_json():
      result = predict.predict_json(
          PROJECT, MODEL, [JSON, JSON], version=JSON_VERSION)
      # Result contains two identical predictions
      assert len(result) == 2 and result[0] == result[1]
      # Each prediction has `confidence` and `predictions`
      assert result[0].keys() == EXPECTED_OUTPUT.keys()
      # Prediction matches
      assert result[0][PRED_KEY] == EXPECTED_OUTPUT[PRED_KEY]
      # Confidence within epsilon
      assert abs(result[0][CONF_KEY] - EXPECTED_OUTPUT[CONF_KEY]) < CONFIDENCE_EPSILON
  
  
  @pytest.mark.flaky
  def test_predict_json_error():
      with pytest.raises(RuntimeError):
          predict.predict_json(
              PROJECT, MODEL, [{"foo": "bar"}], version=JSON_VERSION)
  
subject: Make predict test more lenient (#4916)