Fix build failing with float precision mismatch (googleapis#3002)

Author: daspecster

speech/unit_tests/test_client.py

@@ -297,10 +297,10 @@ def test_sync_recognize_with_gax(self):
 
         alternatives = [{
             'transcript': 'testing 1 2 3',
-            'confidence': 0.9224355,
+            'confidence': 0.740234375,
         }, {
             'transcript': 'testing 4 5 6',
-            'confidence': 0.0123456,
+            'confidence': 0.6396484375,
         }]
         result = _make_result(alternatives)
 
@@ -500,19 +500,19 @@ def test_stream_recognize_interim_results(self):
 
         alternatives = [{
             'transcript': 'testing streaming 1 2 3',
-            'confidence': 0.9224355,
+            'confidence': 0.5888671875,
         }, {
             'transcript': 'testing streaming 4 5 6',
-            'confidence': 0.0123456,
+            'confidence': 0.28125,
         }]
         first_response = _make_streaming_response(
-            _make_streaming_result([], is_final=False, stability=0.122435))
+            _make_streaming_result([], is_final=False, stability=0.314453125))
         second_response = _make_streaming_response(
             _make_streaming_result(alternatives, is_final=False,
-                                   stability=0.1432343))
+                                   stability=0.28125))
         last_response = _make_streaming_response(
             _make_streaming_result(alternatives, is_final=True,
-                                   stability=0.9834534))
+                                   stability=0.4375))
         responses = [first_response, second_response, last_response]
 
         channel_args = []
@@ -542,8 +542,8 @@ def speech_api(channel=None):
         self.assertIsInstance(results[0], StreamingSpeechResult)
         self.assertEqual(results[0].alternatives, [])
         self.assertFalse(results[0].is_final)
-        self.assertEqual(results[0].stability, 0.122435)
-        self.assertEqual(results[1].stability, 0.1432343)
+        self.assertEqual(results[0].stability, 0.314453125)
+        self.assertEqual(results[1].stability, 0.28125)
         self.assertFalse(results[1].is_final)
         self.assertEqual(results[1].transcript,
                          results[1].alternatives[0].transcript,
@@ -556,7 +556,7 @@ def speech_api(channel=None):
         self.assertEqual(results[1].alternatives[1].confidence,
                          alternatives[1]['confidence'])
         self.assertTrue(results[2].is_final)
-        self.assertEqual(results[2].stability, 0.9834534)
+        self.assertEqual(results[2].stability, 0.4375)
         self.assertEqual(results[2].transcript,
                          results[2].alternatives[0].transcript,
                          alternatives[0]['transcript'])
@@ -580,10 +580,10 @@ def test_stream_recognize(self):
 
         alternatives = [{
             'transcript': 'testing streaming 1 2 3',
-            'confidence': 0.9224355,
+            'confidence': 0.4375,
         }, {
             'transcript': 'testing streaming 4 5 6',
-            'confidence': 0.0123456,
+            'confidence': 0.84375,
         }]
 
         first_response = _make_streaming_response(

vision/unit_tests/test_annotations.py

@@ -23,7 +23,7 @@ def _make_pb_entity():
     description = 'testing 1 2 3'
     locale = 'US'
     mid = 'm/w/45342234'
-    score = 0.235434231
+    score = 0.390625
 
     entity_annotation = image_annotator_pb2.EntityAnnotation(
         mid=mid,
@@ -108,7 +108,7 @@ def test_it(self):
         description = 'testing 1 2 3'
         locale = 'US'
         mid = 'm/w/45342234'
-        score = 0.235434231
+        score = 0.390625
         entity_annotation = _make_pb_entity()
         entities = self._call_fut([entity_annotation])
         self.assertEqual(len(entities), 1)
@@ -183,7 +183,7 @@ def test_it(self):
         description = 'testing 1 2 3'
         locale = 'US'
         mid = 'm/w/45342234'
-        score = 0.235434231
+        score = 0.390625
         entity_annotation = _make_pb_entity()
 
         image_response = image_annotator_pb2.AnnotateImageResponse(

vision/unit_tests/test_entity.py

@@ -39,7 +39,7 @@ def test_logo_pb_annotation(self):
         description = 'testing 1 2 3'
         locale = 'US'
         mid = 'm/w/45342234'
-        score = 0.235434231
+        score = 0.875
         entity_annotation = image_annotator_pb2.EntityAnnotation()
         entity_annotation.mid = mid
         entity_annotation.locale = locale