chore: regenerate libraries

Author: jskeet

packages/google-analytics-data/noxfile.py

@@ -390,7 +390,6 @@ def docs(session):
     shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True)
     session.run(
         "sphinx-build",
-        "-W",  # warnings as errors
         "-T",  # show full traceback on exception
         "-N",  # no colors
         "-b",

packages/google-cloud-trace/.repo-metadata.json

@@ -1,5 +1,5 @@
 {
-    "api_description": "is a distributed tracing system that collects latency data from your applications and displays it in the Google Cloud Platform Console. You can track how requests propagate through your application and receive detailed near real-time performance insights.",
+    "api_description": "Sends application trace data to Stackdriver Trace for viewing. Trace data\nis collected for all App Engine applications by default. Trace data from\nother applications can be provided using this API. This library is used to\ninteract with the Trace API directly. If you are looking to instrument\nyour application for Stackdriver Trace, we recommend using OpenTelemetry.",
     "api_id": "cloudtrace.googleapis.com",
     "api_shortname": "cloudtrace",
     "client_documentation": "https://cloud.google.com/python/docs/reference/cloudtrace/latest",

packages/google-cloud-trace/README.rst

@@ -3,7 +3,11 @@ Python Client for Cloud Trace
 
 |stable| |pypi| |versions|
 
-`Cloud Trace`_: is a distributed tracing system that collects latency data from your applications and displays it in the Google Cloud Platform Console. You can track how requests propagate through your application and receive detailed near real-time performance insights.
+`Cloud Trace`_: Sends application trace data to Stackdriver Trace for viewing. Trace data
+is collected for all App Engine applications by default. Trace data from
+other applications can be provided using this API. This library is used to
+interact with the Trace API directly. If you are looking to instrument
+your application for Stackdriver Trace, we recommend using OpenTelemetry.
 
 - `Client Library Documentation`_
 - `Product Documentation`_

packages/google-cloud-trace/docs/README.rst

@@ -3,7 +3,11 @@ Python Client for Cloud Trace
 
 |stable| |pypi| |versions|
 
-`Cloud Trace`_: is a distributed tracing system that collects latency data from your applications and displays it in the Google Cloud Platform Console. You can track how requests propagate through your application and receive detailed near real-time performance insights.
+`Cloud Trace`_: Sends application trace data to Stackdriver Trace for viewing. Trace data
+is collected for all App Engine applications by default. Trace data from
+other applications can be provided using this API. This library is used to
+interact with the Trace API directly. If you are looking to instrument
+your application for Stackdriver Trace, we recommend using OpenTelemetry.
 
 - `Client Library Documentation`_
 - `Product Documentation`_

packages/google-cloud-translate/.repo-metadata.json

@@ -1,5 +1,5 @@
 {
-    "api_description": "can dynamically translate text between thousands of language pairs. Translation lets websites and programs programmatically integrate with the translation service.",
+    "api_description": "Integrates text translation into your website or application.",
     "api_id": "translate.googleapis.com",
     "api_shortname": "translate",
     "client_documentation": "https://cloud.google.com/python/docs/reference/translate/latest",

packages/google-cloud-translate/README.rst

@@ -3,7 +3,7 @@ Python Client for Cloud Translation
 
 |stable| |pypi| |versions|
 
-`Cloud Translation`_: can dynamically translate text between thousands of language pairs. Translation lets websites and programs programmatically integrate with the translation service.
+`Cloud Translation`_: Integrates text translation into your website or application.
 
 - `Client Library Documentation`_
 - `Product Documentation`_

packages/google-cloud-translate/docs/README.rst

@@ -3,7 +3,7 @@ Python Client for Cloud Translation
 
 |stable| |pypi| |versions|
 
-`Cloud Translation`_: can dynamically translate text between thousands of language pairs. Translation lets websites and programs programmatically integrate with the translation service.
+`Cloud Translation`_: Integrates text translation into your website or application.
 
 - `Client Library Documentation`_
 - `Product Documentation`_

packages/google-cloud-video-live-stream/.repo-metadata.json

@@ -1,5 +1,5 @@
 {
-    "api_description": "transcodes mezzanine live signals into direct-to-consumer streaming formats, including Dynamic Adaptive Streaming over HTTP (DASH/MPEG-DASH), and HTTP Live Streaming (HLS), for multiple device platforms.",
+    "api_description": "The Live Stream API transcodes mezzanine live signals into direct-to-consumer streaming formats, including Dynamic Adaptive Streaming over HTTP (DASH/MPEG-DASH), and HTTP Live Streaming (HLS), for multiple device platforms.",
     "api_id": "livestream.googleapis.com",
     "api_shortname": "livestream",
     "client_documentation": "https://cloud.google.com/python/docs/reference/livestream/latest",

packages/google-cloud-video-live-stream/README.rst

@@ -3,7 +3,7 @@ Python Client for Live Stream
 
 |stable| |pypi| |versions|
 
-`Live Stream`_: transcodes mezzanine live signals into direct-to-consumer streaming formats, including Dynamic Adaptive Streaming over HTTP (DASH/MPEG-DASH), and HTTP Live Streaming (HLS), for multiple device platforms.
+`Live Stream`_: The Live Stream API transcodes mezzanine live signals into direct-to-consumer streaming formats, including Dynamic Adaptive Streaming over HTTP (DASH/MPEG-DASH), and HTTP Live Streaming (HLS), for multiple device platforms.
 
 - `Client Library Documentation`_
 - `Product Documentation`_

packages/google-cloud-video-live-stream/docs/README.rst

@@ -3,7 +3,7 @@ Python Client for Live Stream
 
 |stable| |pypi| |versions|
 
-`Live Stream`_: transcodes mezzanine live signals into direct-to-consumer streaming formats, including Dynamic Adaptive Streaming over HTTP (DASH/MPEG-DASH), and HTTP Live Streaming (HLS), for multiple device platforms.
+`Live Stream`_: The Live Stream API transcodes mezzanine live signals into direct-to-consumer streaming formats, including Dynamic Adaptive Streaming over HTTP (DASH/MPEG-DASH), and HTTP Live Streaming (HLS), for multiple device platforms.
 
 - `Client Library Documentation`_
 - `Product Documentation`_