docs: Minor formatting (#506)

* docs: Minor formatting
chore: Update gapic-generator-python to v1.11.5
build: Update rules_python to 0.24.0

PiperOrigin-RevId: 563436317

Source-Link: googleapis/googleapis@42fd37b

Source-Link: googleapis/googleapis-gen@280264c
Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiMjgwMjY0Y2EwMmZiOTMxNmI0MjM3YTk2ZDBhZjFhMjM0M2E4MWE1NiJ9

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

---------

Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>

Author: gcf-owl-bot[bot]

packages/google-cloud-automl/google/cloud/automl_v1/types/dataset.py

@@ -105,6 +105,7 @@ class Dataset(proto.Message):
             underscores and dashes. International characters
             are allowed. Label values are optional. Label
             keys must start with a letter.
+
             See https://goo.gl/xmQnxf for more information
             on and examples of labels.
     """

packages/google-cloud-automl/google/cloud/automl_v1/types/io.py

@@ -1108,6 +1108,7 @@ class DocumentInputConfig(proto.Message):
             The Google Cloud Storage location of the
             document file. Only a single path should be
             given.
+
             Max supported size: 512MB.
 
             Supported extensions: .PDF.

packages/google-cloud-automl/google/cloud/automl_v1/types/model.py

@@ -104,6 +104,7 @@ class Model(proto.Message):
             underscores and dashes. International characters
             are allowed. Label values are optional. Label
             keys must start with a letter.
+
             See https://goo.gl/xmQnxf for more information
             on and examples of labels.
     """

packages/google-cloud-automl/google/cloud/automl_v1beta1/types/operations.py

@@ -232,8 +232,8 @@ class ExportDataOutputInfo(proto.Message):
                 This field is a member of `oneof`_ ``output_location``.
             bigquery_output_dataset (str):
                 The path of the BigQuery dataset created, in
-                bq://projectId.bqDatasetId
-                format, into which the exported data is written.
+                bq://projectId.bqDatasetId format, into which
+                the exported data is written.
 
                 This field is a member of `oneof`_ ``output_location``.
         """
@@ -289,9 +289,8 @@ class BatchPredictOutputInfo(proto.Message):
                 This field is a member of `oneof`_ ``output_location``.
             bigquery_output_dataset (str):
                 The path of the BigQuery dataset created, in
-                bq://projectId.bqDatasetId
-                format, into which the prediction output is
-                written.
+                bq://projectId.bqDatasetId format, into which
+                the prediction output is written.
 
                 This field is a member of `oneof`_ ``output_location``.
         """
@@ -370,9 +369,9 @@ class ExportEvaluatedExamplesOutputInfo(proto.Message):
         Attributes:
             bigquery_output_dataset (str):
                 The path of the BigQuery dataset created, in
-                bq://projectId.bqDatasetId
-                format, into which the output of export
-                evaluated examples is written.
+                bq://projectId.bqDatasetId format, into which
+                the output of export evaluated examples is
+                written.
         """
 
         bigquery_output_dataset: str = proto.Field(

packages/google-cloud-automl/google/cloud/automl_v1beta1/types/tables.py

@@ -227,13 +227,15 @@ class TablesModelMetadata(proto.Message):
             Required. The train budget of creating this
             model, expressed in milli node hours i.e. 1,000
             value in this field means 1 node hour.
+
             The training cost of the model will not exceed
             this budget. The final cost will be attempted to
             be close to the budget, though may end up being
             (even) noticeably smaller - at the backend's
             discretion. This especially may happen when
             further model training ceases to provide any
             improvements.
+
             If the budget is set to a value known to be
             insufficient to train a model for the given
             dataset, the training won't be attempted and

packages/google-cloud-automl/tests/unit/gapic/automl_v1/test_auto_ml.py

@@ -68,7 +68,7 @@
 from google.cloud.automl_v1.types import text_extraction
 from google.cloud.automl_v1.types import text_sentiment
 from google.cloud.automl_v1.types import translation
-from google.longrunning import operations_pb2
+from google.longrunning import operations_pb2  # type: ignore
 from google.oauth2 import service_account
 from google.protobuf import empty_pb2  # type: ignore
 from google.protobuf import field_mask_pb2  # type: ignore

packages/google-cloud-automl/tests/unit/gapic/automl_v1/test_prediction_service.py

@@ -60,7 +60,7 @@
 from google.cloud.automl_v1.types import operations
 from google.cloud.automl_v1.types import prediction_service
 from google.cloud.automl_v1.types import text_segment
-from google.longrunning import operations_pb2
+from google.longrunning import operations_pb2  # type: ignore
 from google.oauth2 import service_account
 import google.auth
 

packages/google-cloud-automl/tests/unit/gapic/automl_v1beta1/test_auto_ml.py

@@ -77,7 +77,7 @@
 from google.cloud.automl_v1beta1.types import text_sentiment
 from google.cloud.automl_v1beta1.types import translation
 from google.cloud.automl_v1beta1.types import video
-from google.longrunning import operations_pb2
+from google.longrunning import operations_pb2  # type: ignore
 from google.oauth2 import service_account
 from google.protobuf import empty_pb2  # type: ignore
 from google.protobuf import field_mask_pb2  # type: ignore

packages/google-cloud-automl/tests/unit/gapic/automl_v1beta1/test_prediction_service.py

@@ -62,7 +62,7 @@
 from google.cloud.automl_v1beta1.types import operations
 from google.cloud.automl_v1beta1.types import prediction_service
 from google.cloud.automl_v1beta1.types import text_segment
-from google.longrunning import operations_pb2
+from google.longrunning import operations_pb2  # type: ignore
 from google.oauth2 import service_account
 from google.protobuf import struct_pb2  # type: ignore
 import google.auth