Using HTTPS wikipedia links in language system tests. (#3732)

Fixes #3731.

Also relaxing the sentiment score expected range for
"Jogging is fun" (the same backend update that changed HTTP to
HTTPS changed the score from 0.5 to 0.7).

Also updating the language usage doc with the correct (and HTTPS)
URLs for the 3 examples.

Author: dhermes

packages/google-cloud-language/tests/system.py

@@ -77,23 +77,23 @@ def _check_analyze_entities_result(self, entities):
         # Other mentions may occur, e.g. "painter".
         self.assertIn(entity1.name, [str(i) for i in entity1.mentions])
         self.assertEqual(entity1.metadata['wikipedia_url'],
-                         'http://en.wikipedia.org/wiki/Caravaggio')
+                         'https://en.wikipedia.org/wiki/Caravaggio')
         self.assertIsInstance(entity1.metadata, dict)
         # Verify entity 2.
         self.assertEqual(entity2.name, self.NAME2)
         self.assertEqual(entity2.entity_type, EntityType.LOCATION)
         self.assertGreater(entity2.salience, 0.0)
         self.assertEqual([str(i) for i in entity2.mentions], [entity2.name])
         self.assertEqual(entity2.metadata['wikipedia_url'],
-                         'http://en.wikipedia.org/wiki/Italy')
+                         'https://en.wikipedia.org/wiki/Italy')
         self.assertIsInstance(entity2.metadata, dict)
         # Verify entity 3.
         self.assertEqual(entity3.name, self.NAME3)
         choices = (EntityType.EVENT, EntityType.WORK_OF_ART)
         self.assertIn(entity3.entity_type, choices)
         self.assertGreater(entity3.salience, 0.0)
         self.assertEqual([str(i) for i in entity3.mentions], [entity3.name])
-        wiki_url = ('http://en.wikipedia.org/wiki/'
+        wiki_url = ('https://en.wikipedia.org/wiki/'
                     'The_Calling_of_St_Matthew_(Caravaggio)')
         self.assertEqual(entity3.metadata['wikipedia_url'], wiki_url)
         self.assertIsInstance(entity3.metadata, dict)
@@ -122,7 +122,7 @@ def test_analyze_sentiment(self):
         positive_msg = 'Jogging is fun'
         document = Config.CLIENT.document_from_text(positive_msg)
         sentiment = document.analyze_sentiment().sentiment
-        self.assertEqual(sentiment.score, 0.5)
+        self.assertTrue(0.0 < sentiment.score < 1.0)
         self.assertTrue(0.0 < sentiment.magnitude < 1.5)
 
     def _verify_token(self, token, text_content, part_of_speech, lemma):