🦉 Updates from OwlBot post-processor

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

Author: gcf-owl-bot[bot]

google/cloud/aiplatform/v1/schema/predict/instance_v1/types/image_classification.py

@@ -38,7 +38,8 @@ class ImageClassificationPredictionInstance(proto.Message):
         mime_type (str):
             The MIME type of the content of the image.
             Only the images in below listed MIME types are
-            supported. - image/jpeg
+            supported.
+            - image/jpeg
             - image/gif
             - image/png
             - image/webp

google/cloud/aiplatform/v1/schema/predict/instance_v1/types/image_object_detection.py

@@ -38,7 +38,8 @@ class ImageObjectDetectionPredictionInstance(proto.Message):
         mime_type (str):
             The MIME type of the content of the image.
             Only the images in below listed MIME types are
-            supported. - image/jpeg
+            supported.
+            - image/jpeg
             - image/gif
             - image/png
             - image/webp

google/cloud/aiplatform/v1/schema/predict/instance_v1/types/image_segmentation.py

@@ -37,7 +37,8 @@ class ImageSegmentationPredictionInstance(proto.Message):
         mime_type (str):
             The MIME type of the content of the image.
             Only the images in below listed MIME types are
-            supported. - image/jpeg
+            supported.
+            - image/jpeg
             - image/png
     """
 

google/cloud/aiplatform/v1/schema/predict/prediction_v1/types/video_classification.py

@@ -44,7 +44,8 @@ class VideoClassificationPredictionResult(proto.Message):
         type_ (str):
             The type of the prediction. The requested
             types can be configured via parameters. This
-            will be one of - segment-classification
+            will be one of
+            - segment-classification
             - shot-classification
             - one-sec-interval-classification
         time_segment_start (google.protobuf.duration_pb2.Duration):

google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/image_classification.py

@@ -38,7 +38,8 @@ class ImageClassificationPredictionInstance(proto.Message):
         mime_type (str):
             The MIME type of the content of the image.
             Only the images in below listed MIME types are
-            supported. - image/jpeg
+            supported.
+            - image/jpeg
             - image/gif
             - image/png
             - image/webp

google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/image_object_detection.py

@@ -38,7 +38,8 @@ class ImageObjectDetectionPredictionInstance(proto.Message):
         mime_type (str):
             The MIME type of the content of the image.
             Only the images in below listed MIME types are
-            supported. - image/jpeg
+            supported.
+            - image/jpeg
             - image/gif
             - image/png
             - image/webp

google/cloud/aiplatform/v1beta1/schema/predict/instance_v1beta1/types/image_segmentation.py

@@ -37,7 +37,8 @@ class ImageSegmentationPredictionInstance(proto.Message):
         mime_type (str):
             The MIME type of the content of the image.
             Only the images in below listed MIME types are
-            supported. - image/jpeg
+            supported.
+            - image/jpeg
             - image/png
     """
 

google/cloud/aiplatform/v1beta1/schema/predict/prediction_v1beta1/types/video_classification.py

@@ -44,7 +44,8 @@ class VideoClassificationPredictionResult(proto.Message):
         type_ (str):
             The type of the prediction. The requested
             types can be configured via parameters. This
-            will be one of - segment-classification
+            will be one of
+            - segment-classification
             - shot-classification
             - one-sec-interval-classification
         time_segment_start (google.protobuf.duration_pb2.Duration):

google/cloud/aiplatform_v1/services/featurestore_service/async_client.py

@@ -2355,12 +2355,13 @@ async def import_feature_values(
         There are also scenarios where the caller can cause
         inconsistency.
          - Source data for import contains multiple distinct
-        Feature values for    the same entity ID and timestamp.
+          Feature values for    the same entity ID and
+          timestamp.
          - Source is modified during an import. This includes
-        adding, updating, or  removing source data and/or
-        metadata. Examples of updating metadata  include but are
-        not limited to changing storage location, storage class,
-        or retention policy.
+          adding, updating, or  removing source data and/or
+          metadata. Examples of updating metadata  include but
+          are not limited to changing storage location, storage
+          class,  or retention policy.
          - Online serving cluster is under-provisioned.
 
         .. code-block:: python

google/cloud/aiplatform_v1/services/featurestore_service/client.py

@@ -2623,12 +2623,13 @@ def import_feature_values(
         There are also scenarios where the caller can cause
         inconsistency.
          - Source data for import contains multiple distinct
-        Feature values for    the same entity ID and timestamp.
+          Feature values for    the same entity ID and
+          timestamp.
          - Source is modified during an import. This includes
-        adding, updating, or  removing source data and/or
-        metadata. Examples of updating metadata  include but are
-        not limited to changing storage location, storage class,
-        or retention policy.
+          adding, updating, or  removing source data and/or
+          metadata. Examples of updating metadata  include but
+          are not limited to changing storage location, storage
+          class,  or retention policy.
          - Online serving cluster is under-provisioned.
 
         .. code-block:: python