chore: lints and blackens

Author: danoscarmike

videointelligence/samples/quickstart/noxfile.py

@@ -37,28 +37,25 @@
 
 TEST_CONFIG = {
     # You can opt out from the test for specific Python versions.
-    'ignored_versions': ["2.7"],
-
+    "ignored_versions": ["2.7"],
     # Old samples are opted out of enforcing Python type hints
     # All new samples should feature them
-    'enforce_type_hints': False,
-
+    "enforce_type_hints": False,
     # An envvar key for determining the project id to use. Change it
     # to 'BUILD_SPECIFIC_GCLOUD_PROJECT' if you want to opt in using a
     # build specific Cloud project. You can also use your own string
     # to use your own Cloud project.
-    'gcloud_project_env': 'GOOGLE_CLOUD_PROJECT',
+    "gcloud_project_env": "GOOGLE_CLOUD_PROJECT",
     # 'gcloud_project_env': 'BUILD_SPECIFIC_GCLOUD_PROJECT',
-
     # A dictionary you want to inject into your test. Don't put any
     # secrets here. These values will override predefined values.
-    'envs': {},
+    "envs": {},
 }
 
 
 try:
     # Ensure we can import noxfile_config in the project's directory.
-    sys.path.append('.')
+    sys.path.append(".")
     from noxfile_config import TEST_CONFIG_OVERRIDE
 except ImportError as e:
     print("No user noxfile_config found: detail: {}".format(e))
@@ -73,12 +70,12 @@ def get_pytest_env_vars():
     ret = {}
 
     # Override the GCLOUD_PROJECT and the alias.
-    env_key = TEST_CONFIG['gcloud_project_env']
+    env_key = TEST_CONFIG["gcloud_project_env"]
     # This should error out if not set.
-    ret['GOOGLE_CLOUD_PROJECT'] = os.environ[env_key]
+    ret["GOOGLE_CLOUD_PROJECT"] = os.environ[env_key]
 
     # Apply user supplied envs.
-    ret.update(TEST_CONFIG['envs'])
+    ret.update(TEST_CONFIG["envs"])
     return ret
 
 
@@ -87,7 +84,7 @@ def get_pytest_env_vars():
 ALL_VERSIONS = ["2.7", "3.6", "3.7", "3.8"]
 
 # Any default versions that should be ignored.
-IGNORED_VERSIONS = TEST_CONFIG['ignored_versions']
+IGNORED_VERSIONS = TEST_CONFIG["ignored_versions"]
 
 TESTED_VERSIONS = sorted([v for v in ALL_VERSIONS if v not in IGNORED_VERSIONS])
 
@@ -136,7 +133,7 @@ def _determine_local_import_names(start_dir):
 
 @nox.session
 def lint(session):
-    if not TEST_CONFIG['enforce_type_hints']:
+    if not TEST_CONFIG["enforce_type_hints"]:
         session.install("flake8", "flake8-import-order")
     else:
         session.install("flake8", "flake8-import-order", "flake8-annotations")
@@ -145,9 +142,11 @@ def lint(session):
     args = FLAKE8_COMMON_ARGS + [
         "--application-import-names",
         ",".join(local_names),
-        "."
+        ".",
     ]
     session.run("flake8", *args)
+
+
 #
 # Black
 #
@@ -160,6 +159,7 @@ def blacken(session):
 
     session.run("black", *python_files)
 
+
 #
 # Sample Tests
 #
@@ -199,9 +199,9 @@ def py(session):
     if session.python in TESTED_VERSIONS:
         _session_tests(session)
     else:
-        session.skip("SKIPPED: {} tests are disabled for this sample.".format(
-            session.python
-        ))
+        session.skip(
+            "SKIPPED: {} tests are disabled for this sample.".format(session.python)
+        )
 
 
 #

videointelligence/samples/quickstart/quickstart.py

@@ -30,33 +30,38 @@ def run_quickstart():
     video_client = videointelligence.VideoIntelligenceServiceClient()
     features = [videointelligence.enums.Feature.LABEL_DETECTION]
     operation = video_client.annotate_video(
-        'gs://cloud-samples-data/video/cat.mp4', features=features)
-    print('\nProcessing video for label annotations:')
+        "gs://cloud-samples-data/video/cat.mp4", features=features
+    )
+    print("\nProcessing video for label annotations:")
 
     result = operation.result(timeout=120)
-    print('\nFinished processing.')
+    print("\nFinished processing.")
 
     # first result is retrieved because a single video was processed
     segment_labels = result.annotation_results[0].segment_label_annotations
     for i, segment_label in enumerate(segment_labels):
-        print('Video label description: {}'.format(
-            segment_label.entity.description))
+        print("Video label description: {}".format(segment_label.entity.description))
         for category_entity in segment_label.category_entities:
-            print('\tLabel category description: {}'.format(
-                category_entity.description))
+            print(
+                "\tLabel category description: {}".format(category_entity.description)
+            )
 
         for i, segment in enumerate(segment_label.segments):
-            start_time = (segment.segment.start_time_offset.seconds +
-                          segment.segment.start_time_offset.nanos / 1e9)
-            end_time = (segment.segment.end_time_offset.seconds +
-                        segment.segment.end_time_offset.nanos / 1e9)
-            positions = '{}s to {}s'.format(start_time, end_time)
+            start_time = (
+                segment.segment.start_time_offset.seconds
+                + segment.segment.start_time_offset.nanos / 1e9
+            )
+            end_time = (
+                segment.segment.end_time_offset.seconds
+                + segment.segment.end_time_offset.nanos / 1e9
+            )
+            positions = "{}s to {}s".format(start_time, end_time)
             confidence = segment.confidence
-            print('\tSegment {}: {}'.format(i, positions))
-            print('\tConfidence: {}'.format(confidence))
-        print('\n')
+            print("\tSegment {}: {}".format(i, positions))
+            print("\tConfidence: {}".format(confidence))
+        print("\n")
     # [END video_quickstart]
 
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     run_quickstart()

videointelligence/samples/quickstart/quickstart_test.py

@@ -23,4 +23,4 @@
 def test_quickstart(capsys):
     quickstart.run_quickstart()
     out, _ = capsys.readouterr()
-    assert 'Video label description: cat' in out
+    assert "Video label description: cat" in out