🦉 Updates from OwlBot post-processor

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

.kokoro/samples/python3.10/common.cfg

@@ -16,7 +16,7 @@ env_vars: {
 # Declare build specific Cloud project.
 env_vars: {
     key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
-    value: "ucaip-sample-tests"
+    value: "python-docs-samples-tests-310"
 }
 
 env_vars: {

.kokoro/samples/python3.11/common.cfg

@@ -16,7 +16,7 @@ env_vars: {
 # Declare build specific Cloud project.
 env_vars: {
     key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
-    value: "ucaip-sample-tests"
+    value: "python-docs-samples-tests-311"
 }
 
 env_vars: {

.kokoro/samples/python3.7/common.cfg

@@ -16,7 +16,7 @@ env_vars: {
 # Declare build specific Cloud project.
 env_vars: {
     key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
-    value: "ucaip-sample-tests"
+    value: "python-docs-samples-tests-py37"
 }
 
 env_vars: {

.kokoro/samples/python3.7/periodic.cfg

@@ -2,5 +2,5 @@
 
 env_vars: {
     key: "INSTALL_LIBRARY_FROM_SOURCE"
-    value: "True"
+    value: "False"
 }

.kokoro/samples/python3.8/common.cfg

@@ -16,7 +16,7 @@ env_vars: {
 # Declare build specific Cloud project.
 env_vars: {
     key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
-    value: "ucaip-sample-tests"
+    value: "python-docs-samples-tests-py38"
 }
 
 env_vars: {

.kokoro/samples/python3.9/common.cfg

@@ -16,7 +16,7 @@ env_vars: {
 # Declare build specific Cloud project.
 env_vars: {
     key: "BUILD_SPECIFIC_GCLOUD_PROJECT"
-    value: "ucaip-sample-tests"
+    value: "python-docs-samples-tests-py39"
 }
 
 env_vars: {

.pre-commit-config.yaml

@@ -26,6 +26,6 @@ repos:
     hooks:
     - id: black
 -   repo: https://github.com/pycqa/flake8
-    rev: 6.1.0
+    rev: 3.9.2
     hooks:
     - id: flake8

docs/conf.py

@@ -382,57 +382,3 @@
 napoleon_use_ivar = False
 napoleon_use_param = True
 napoleon_use_rtype = True
-
-
-def adopt_members_reexported_from_private_modules(public_module: str):
-    """Remaps the module items that come from internal modules.
-
-    A public module might be exporting items that are imported from private modules.
-    This function changes the `__module__` of such items to the public module.
-
-    Example:
-        `package/public.py`:
-
-        ```
-        from package._private import _PrivateClass as PublicClass
-        __all__ = ["PublicClass"]
-        ```
-
-        Calling this function on the `package.public` module will change:
-        ```
-        package._private._PrivateClass.__name__ = "PublicClass"
-        package._private._PrivateClass.__module__ = "package.public"
-        ```
-    """
-    for name, cls in public_module.__dict__.items():
-        if name in public_module.__all__:
-            if "._" in cls.__module__:
-                cls.__name__ = name
-                cls.__module__ = public_module.__name__
-
-
-def setup(*args, **kwargs):
-    # 1. Giving pretty module names to the GA and preview classes
-    # 2. Giving pretty class names to the preview classes
-    # 3. Making Sphinx automodule render the class members instead of
-    #     dismissing the exported private classes as "Alias of".
-    from vertexai import language_models
-    from vertexai import vision_models
-    from vertexai.preview import (
-        language_models as preview_language_models,
-    )
-    from vertexai.preview import (
-        vision_models as preview_vision_models,
-    )
-
-    # There are many possible ways to select which classes to fix.
-    # We select the publicly exported members that have an internal module ("*._*").
-
-    # Setting the modules of the GA classes
-    adopt_members_reexported_from_private_modules(language_models)
-    adopt_members_reexported_from_private_modules(vision_models)
-
-    # Setting the modules of the public preview classes
-    # Selecting the members that still have an internal module after the GA fixes.
-    adopt_members_reexported_from_private_modules(preview_language_models)
-    adopt_members_reexported_from_private_modules(preview_vision_models)

google/cloud/aiplatform/v1/schema/trainingjob/definition_v1/types/automl_tables.py

@@ -109,6 +109,7 @@ class AutoMlTablesInputs(proto.Message):
             The supported optimization objectives depend on
             the prediction type. If the field is not set, a
             default objective function is used.
+
             classification (binary):
 
               "maximize-au-roc" (default) - Maximize the
@@ -122,10 +123,12 @@ class AutoMlTablesInputs(proto.Message):
             recall value.   "maximize-recall-at-precision" -
             Maximize recall for a specified
             precision value.
+
             classification (multi-class):
 
               "minimize-log-loss" (default) - Minimize log
             loss.
+
             regression:
 
               "minimize-rmse" (default) - Minimize
@@ -137,13 +140,15 @@ class AutoMlTablesInputs(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

google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_tables.py

@@ -109,6 +109,7 @@ class AutoMlTablesInputs(proto.Message):
             The supported optimization objectives depend on
             the prediction type. If the field is not set, a
             default objective function is used.
+
             classification (binary):
 
               "maximize-au-roc" (default) - Maximize the
@@ -122,10 +123,12 @@ class AutoMlTablesInputs(proto.Message):
             recall value.   "maximize-recall-at-precision" -
             Maximize recall for a specified
             precision value.
+
             classification (multi-class):
 
               "minimize-log-loss" (default) - Minimize log
             loss.
+
             regression:
 
               "minimize-rmse" (default) - Minimize
@@ -137,13 +140,15 @@ class AutoMlTablesInputs(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

google/cloud/aiplatform/v1beta1/schema/trainingjob/definition_v1beta1/types/automl_time_series_forecasting.py

@@ -105,13 +105,15 @@ class AutoMlForecastingInputs(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

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

@@ -57,7 +57,7 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
+from google.longrunning import operations_pb2  # type: ignore
 from google.protobuf import empty_pb2  # type: ignore
 from google.protobuf import field_mask_pb2  # type: ignore
 from google.protobuf import struct_pb2  # type: ignore

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

@@ -61,7 +61,7 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
+from google.longrunning import operations_pb2  # type: ignore
 from google.protobuf import empty_pb2  # type: ignore
 from google.protobuf import field_mask_pb2  # type: ignore
 from google.protobuf import struct_pb2  # type: ignore

google/cloud/aiplatform_v1/services/dataset_service/transports/base.py

@@ -34,7 +34,6 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
 from google.longrunning import operations_pb2  # type: ignore
 
 DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(

google/cloud/aiplatform_v1/services/dataset_service/transports/grpc.py

@@ -32,7 +32,6 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
 from google.longrunning import operations_pb2  # type: ignore
 from .base import DatasetServiceTransport, DEFAULT_CLIENT_INFO
 

google/cloud/aiplatform_v1/services/dataset_service/transports/grpc_asyncio.py

@@ -32,7 +32,6 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
 from google.longrunning import operations_pb2  # type: ignore
 from .base import DatasetServiceTransport, DEFAULT_CLIENT_INFO
 from .grpc import DatasetServiceGrpcTransport

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

@@ -53,7 +53,7 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
+from google.longrunning import operations_pb2  # type: ignore
 from google.protobuf import empty_pb2  # type: ignore
 from google.protobuf import field_mask_pb2  # type: ignore
 from google.protobuf import timestamp_pb2  # type: ignore

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

@@ -57,7 +57,7 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
+from google.longrunning import operations_pb2  # type: ignore
 from google.protobuf import empty_pb2  # type: ignore
 from google.protobuf import field_mask_pb2  # type: ignore
 from google.protobuf import timestamp_pb2  # type: ignore

google/cloud/aiplatform_v1/services/endpoint_service/transports/base.py

@@ -33,7 +33,6 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
 from google.longrunning import operations_pb2  # type: ignore
 
 DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(

google/cloud/aiplatform_v1/services/endpoint_service/transports/grpc.py

@@ -31,7 +31,6 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
 from google.longrunning import operations_pb2  # type: ignore
 from .base import EndpointServiceTransport, DEFAULT_CLIENT_INFO
 

google/cloud/aiplatform_v1/services/endpoint_service/transports/grpc_asyncio.py

@@ -31,7 +31,6 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
 from google.longrunning import operations_pb2  # type: ignore
 from .base import EndpointServiceTransport, DEFAULT_CLIENT_INFO
 from .grpc import EndpointServiceGrpcTransport

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

@@ -48,7 +48,7 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
+from google.longrunning import operations_pb2  # type: ignore
 from .transports.base import (
     FeaturestoreOnlineServingServiceTransport,
     DEFAULT_CLIENT_INFO,

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

@@ -51,7 +51,7 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
+from google.longrunning import operations_pb2  # type: ignore
 from .transports.base import (
     FeaturestoreOnlineServingServiceTransport,
     DEFAULT_CLIENT_INFO,

google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/base.py

@@ -30,7 +30,7 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
+from google.longrunning import operations_pb2  # type: ignore
 
 DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
     gapic_version=package_version.__version__

google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/grpc.py

@@ -28,7 +28,7 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
+from google.longrunning import operations_pb2  # type: ignore
 from .base import FeaturestoreOnlineServingServiceTransport, DEFAULT_CLIENT_INFO
 
 

google/cloud/aiplatform_v1/services/featurestore_online_serving_service/transports/grpc_asyncio.py

@@ -28,7 +28,7 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
+from google.longrunning import operations_pb2  # type: ignore
 from .base import FeaturestoreOnlineServingServiceTransport, DEFAULT_CLIENT_INFO
 from .grpc import FeaturestoreOnlineServingServiceGrpcTransport
 

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

@@ -58,7 +58,7 @@
 from google.cloud.location import locations_pb2  # type: ignore
 from google.iam.v1 import iam_policy_pb2  # type: ignore
 from google.iam.v1 import policy_pb2  # type: ignore
-from google.longrunning import operations_pb2
+from google.longrunning import operations_pb2  # type: ignore
 from google.protobuf import empty_pb2  # type: ignore
 from google.protobuf import field_mask_pb2  # type: ignore
 from google.protobuf import timestamp_pb2  # type: ignore
@@ -2347,13 +2347,16 @@ async def import_feature_values(
         operation. The imported features are guaranteed to be
         visible to subsequent read operations after the
         operation is marked as successfully done.
+
         If an import operation fails, the Feature values
         returned from reads and exports may be inconsistent. If
         consistency is required, the caller must retry the same
         import request again and wait till the new operation
         returned is marked as successfully done.
+
         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.
@@ -2494,6 +2497,7 @@ async def batch_read_feature_values(
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
         r"""Batch reads Feature values from a Featurestore.
+
         This API enables batch reading Feature values, where
         each read instance in the batch may read Feature values
         of entities from one or more EntityTypes. Point-in-time
@@ -2763,10 +2767,12 @@ async def delete_feature_values(
         metadata: Sequence[Tuple[str, str]] = (),
     ) -> operation_async.AsyncOperation:
         r"""Delete Feature values from Featurestore.
+
         The progress of the deletion is tracked by the returned
         operation. The deleted feature values are guaranteed to
         be invisible to subsequent read operations after the
         operation is marked as successfully done.
+
         If a delete feature values operation fails, the feature
         values returned from reads and exports may be
         inconsistent. If consistency is required, the caller