old_contents: # Copyright 2018 Google LLC
  #
  # 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
  #
  #     https://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 time
  
  from google.cloud import speech_v1
  from google.cloud.speech_v1 import enums
  from google.cloud.speech_v1.proto import cloud_speech_pb2
  
  
  class TestSystemSpeech(object):
      def test_recognize(self):
  
          client = speech_v1.SpeechClient()
          language_code = "en-US"
          sample_rate_hertz = 44100
          encoding = enums.RecognitionConfig.AudioEncoding.FLAC
          config = {
              "language_code": language_code,
              "sample_rate_hertz": sample_rate_hertz,
              "encoding": encoding,
          }
          uri = "gs://gapic-toolkit/hello.flac"
          audio = {"uri": uri}
          response = client.recognize(config, audio)
  
new_contents: # Copyright 2018 Google LLC
  #
  # 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
  #
  #     https://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 os
  import io
  import requests
  
  from google.cloud import speech_v1
  
  
  class TestSystemSpeech(object):
      def test_recognize(self):
  
          try:
              BUCKET = os.environ["GOOGLE_CLOUD_TESTS_SPEECH_BUCKET"]
          except KeyError:
              BUCKET = "cloud-samples-tests"
  
          client = speech_v1.SpeechClient()
  
          config = {
              "encoding": speech_v1.enums.RecognitionConfig.AudioEncoding.FLAC,
              "language_code": "en-US",
              "sample_rate_hertz": 16000,
          }
  
          uri = "gs://{}/speech/brooklyn.flac".format(BUCKET)
          audio = {"uri": uri}
  
          response = client.recognize(config, audio)
  
          assert response.results[0].alternatives[0].transcript is not None
  
      def test_long_running_recognize(self):
  
          try:
              BUCKET = os.environ["GOOGLE_CLOUD_TESTS_SPEECH_BUCKET"]
          except KeyError:
              BUCKET = "cloud-samples-tests"
  
          client = speech_v1.SpeechClient()
  
          config = speech_v1.types.RecognitionConfig(
              encoding=speech_v1.enums.RecognitionConfig.AudioEncoding.FLAC,
              language_code="en-US",
              sample_rate_hertz=16000,
          )
  
          uri = "gs://{}/speech/brooklyn.flac".format(BUCKET)
          audio = {"uri": uri}
  
          response = client.long_running_recognize(config, audio)
  
          assert response.result() is not None
  
      def test_streaming_recognize(self):
  
          try:
              BUCKET = os.environ["GOOGLE_CLOUD_TESTS_SPEECH_BUCKET"]
          except KeyError:
              BUCKET = "cloud-samples-tests"
  
          client = speech_v1.SpeechClient()
  
          config = speech_v1.types.RecognitionConfig(
              encoding=speech_v1.enums.RecognitionConfig.AudioEncoding.FLAC,
              language_code="en-US",
              sample_rate_hertz=16000,
          )
          streamingConfig = speech_v1.types.StreamingRecognitionConfig(config=config)
  
          uri = "https://storage.googleapis.com/{}/speech/brooklyn.flac".format(BUCKET)
          streaming_requests = [
              speech_v1.types.StreamingRecognizeRequest(
                  audio_content=requests.get(uri).content
              )
          ]
  
          responses = client.streaming_recognize(streamingConfig, streaming_requests)
  
          for response in responses:
              for result in response.results:
                  assert result.alternatives[0].transcript is not None
  
subject: add v1 systests for longrunning / streaming recognize (#9285)