old_contents: '''
  Code adapted from https://westus.dev.cognitive.microsoft.com/docs/services/TextAnalytics.V2.0/operations/56f30ceeeda5650db055a3c9
  '''
  import http.client, urllib.request, urllib.parse, urllib.error
  import script
  import numpy as np
  
  def main():
      '''
      Sends a single POST request with a test bit of text.
      '''
      sample_text = 'I had a wonderful experience! The rooms were wonderful and the staff were helpful.' # from default given at https://www.microsoft.com/cognitive-services/en-us/text-analytics-api
      make_request(np.array([sample_text]))
  
  def make_request(text_vector):
      '''
      Sends one request for each item in text_vector, which is a numpy vector. Careful not to exceed the API limit!
      '''
      headers = headers()
      params = urllib.parse.urlencode({})
      body = body_from_string_vectors(text_vector)
      try:
          conn = http.client.HTTPSConnection('westus.api.cognitive.microsoft.com')
      	conn.request("POST", "/text/analytics/v2.0/sentiment?%s" % params, str(body), headers)
      	response = conn.getresponse()
      	data = response.read()
      	print(data) # score is on a scale from 0 to 1, with 0 being the most negative sentiment and 1 being the most positive sentiment. Includes some metadata.
      	conn.close()
      except Exception as e:
      	print("[Errno {0}] {1}".format(e.errno, e.strerror))
  
  def body_from_string_vectors(vector):
      '''
      Takes in a numpy vector of strings, each string representing a separate quote from someone.
      '''
      body_documents_list = []
      for string in vector:
          body_documents_list += {
          'language': 'en',
          'id': '1',
          'text': string
          }
      body = {
          'documents': {
              body_documents_list
          }
      }
  
  def generate_headers():
      api_key = script.get_api_key()
      headers = {
          # Request headers
          'Content-Type': 'application/json',
          'Ocp-Apim-Subscription-Key': api_key
      }
      return headers
  
  if __name__ == '__main__':
      main()
  
new_contents: '''
  Code adapted from https://westus.dev.cognitive.microsoft.com/docs/services/TextAnalytics.V2.0/operations/56f30ceeeda5650db055a3c9
  '''
  import http.client, urllib.request, urllib.parse, urllib.error
  import script
  import numpy as np
  
  def main():
      '''
      Sends a single POST request with a test bit of text.
      '''
      sample_text = 'I had a wonderful experience! The rooms were wonderful and the staff were helpful.' # from default given at https://www.microsoft.com/cognitive-services/en-us/text-analytics-api
      make_request(np.array([sample_text]))
  
  def make_request(text_vector):
      '''
      Sends one request for each item in text_vector, which is a numpy vector. Careful not to exceed the API limit!
      '''
      headers = headers()
      params = urllib.parse.urlencode({})
      body = body_from_string_vectors(text_vector)
      try:
          conn = http.client.HTTPSConnection('westus.api.cognitive.microsoft.com')
          conn.request("POST", "/text/analytics/v2.0/sentiment?%s" % params, str(body), headers)
          response = conn.getresponse()
          data = response.read()
          print(data) # score is on a scale from 0 to 1, with 0 being the most negative sentiment and 1 being the most positive sentiment. Includes some metadata.
          conn.close()
      except Exception as e:
          print("[Errno {0}] {1}".format(e.errno, e.strerror))
  
  def body_from_string_vectors(vector):
      '''
      Takes in a numpy vector of strings, each string representing a separate quote from someone.
      '''
      body_documents_list = []
      for string in vector:
          body_documents_list += {
          'language': 'en',
          'id': '1',
          'text': string
          }
      body = {
          'documents': {
              body_documents_list
          }
      }
  
  def generate_headers():
      api_key = script.get_api_key()
      headers = {
          # Request headers
          'Content-Type': 'application/json',
          'Ocp-Apim-Subscription-Key': api_key
      }
      return headers
  
  if __name__ == '__main__':
      main()
  
subject: Fix indentation in request