old_contents: # -*- coding: utf-8 -*-
  #
  # 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.
  
  # DO NOT EDIT! This is a generated sample ("Request",  "analyze_sentiment")
  
  # To install the latest published package dependency, execute the following:
  #   pip install google-cloud-language
  
  import sys
  
  # [START language_sentiment_text]
  
  from google.cloud import language_v1
  from google.cloud.language_v1 import enums
  import six
  
  
  def sample_analyze_sentiment(content):
      # [START language_sentiment_text_core]
  
      client = language_v1.LanguageServiceClient()
  
      # content = 'Your text to analyze, e.g. Hello, world!'
  
      if isinstance(content, six.binary_type):
          content = content.decode('utf-8')
  
      type_ = enums.Document.Type.PLAIN_TEXT
      document = {'type': type_, 'content': content}
  
      response = client.analyze_sentiment(document)
      sentiment = response.document_sentiment
      print('Score: {}'.format(sentiment.score))
      print('Magnitude: {}'.format(sentiment.magnitude))
  
      # [END language_sentiment_text_core]
  
  
  # [END language_sentiment_text]
  
  
  def main():
      # FIXME: Convert argv from strings to the correct types.
      sample_analyze_sentiment(*sys.argv[1:])
  
  
  if __name__ == '__main__':
      main()
  
new_contents: # -*- coding: utf-8 -*-
  #
  # 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.
  
  # DO NOT EDIT! This is a generated sample ("Request",  "analyze_sentiment")
  
  # To install the latest published package dependency, execute the following:
  #   pip install google-cloud-language
  
  import sys
  
  # [START language_sentiment_text]
  
  from google.cloud import language_v1
  from google.cloud.language_v1 import enums
  import six
  
  
  def sample_analyze_sentiment(content):
  
      client = language_v1.LanguageServiceClient()
  
      # content = 'Your text to analyze, e.g. Hello, world!'
  
      if isinstance(content, six.binary_type):
          content = content.decode('utf-8')
  
      type_ = enums.Document.Type.PLAIN_TEXT
      document = {'type': type_, 'content': content}
  
      response = client.analyze_sentiment(document)
      sentiment = response.document_sentiment
      print('Score: {}'.format(sentiment.score))
      print('Magnitude: {}'.format(sentiment.magnitude))
  
  
  # [END language_sentiment_text]
  
  
  def main():
      # FIXME: Convert argv from strings to the correct types.
      sample_analyze_sentiment(*sys.argv[1:])
  
  
  if __name__ == '__main__':
      main()
  
subject: Remove unused region_tag comment. [(#3075)](https://github.com/GoogleCloudPlatform/python-docs-samples/issues/3075)