# -*- coding: utf-8 -*-
# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

import google.auth

try:
    import aiohttp  # type: ignore
    from google.auth.aio.transport.sessions import AsyncAuthorizedSession  # type: ignore
    from google.api_core import rest_streaming_async  # type: ignore
    from google.api_core.operations_v1 import AsyncOperationsRestClient  # type: ignore
except ImportError as e:  # pragma: NO COVER
    raise ImportError(
        "`rest_asyncio` transport requires the library to be installed with the `async_rest` extra. Install the library with the `async_rest` extra using `pip install google-cloud-aiplatform[async_rest]`"
    ) from e

from google.auth.aio import credentials as ga_credentials_async  # type: ignore

from google.api_core import exceptions as core_exceptions
from google.api_core import gapic_v1
from google.api_core import operations_v1
from google.iam.v1 import iam_policy_pb2  # type: ignore
from google.iam.v1 import policy_pb2  # type: ignore
from google.cloud.location import locations_pb2  # type: ignore
from google.api_core import retry_async as retries
from google.api_core import rest_helpers
from google.api_core import rest_streaming_async  # type: ignore


from google.protobuf import json_format
from google.api_core import operations_v1
from google.iam.v1 import iam_policy_pb2  # type: ignore
from google.iam.v1 import policy_pb2  # type: ignore
from google.cloud.location import locations_pb2  # type: ignore

import json  # type: ignore
import dataclasses
from typing import Any, Dict, List, Callable, Tuple, Optional, Sequence, Union


from google.cloud.aiplatform_v1.types import entity_type
from google.cloud.aiplatform_v1.types import entity_type as gca_entity_type
from google.cloud.aiplatform_v1.types import feature
from google.cloud.aiplatform_v1.types import feature as gca_feature
from google.cloud.aiplatform_v1.types import featurestore
from google.cloud.aiplatform_v1.types import featurestore_service
from google.longrunning import operations_pb2  # type: ignore


from .rest_base import _BaseFeaturestoreServiceRestTransport

from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO

try:
    OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
except AttributeError:  # pragma: NO COVER
    OptionalRetry = Union[retries.AsyncRetry, object, None]  # type: ignore

DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
    gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version,
    grpc_version=None,
    rest_version=f"google-auth@{google.auth.__version__}",
)


class AsyncFeaturestoreServiceRestInterceptor:
    """Asynchronous Interceptor for FeaturestoreService.

    Interceptors are used to manipulate requests, request metadata, and responses
    in arbitrary ways.
    Example use cases include:
    * Logging
    * Verifying requests according to service or custom semantics
    * Stripping extraneous information from responses

    These use cases and more can be enabled by injecting an
    instance of a custom subclass when constructing the AsyncFeaturestoreServiceRestTransport.

    .. code-block:: python
        class MyCustomFeaturestoreServiceInterceptor(FeaturestoreServiceRestInterceptor):
            async def pre_batch_create_features(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_batch_create_features(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_batch_read_feature_values(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_batch_read_feature_values(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_create_entity_type(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_create_entity_type(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_create_feature(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_create_feature(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_create_featurestore(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_create_featurestore(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_delete_entity_type(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_delete_entity_type(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_delete_feature(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_delete_feature(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_delete_featurestore(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_delete_featurestore(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_delete_feature_values(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_delete_feature_values(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_export_feature_values(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_export_feature_values(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_get_entity_type(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_get_entity_type(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_get_feature(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_get_feature(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_get_featurestore(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_get_featurestore(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_import_feature_values(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_import_feature_values(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_list_entity_types(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_list_entity_types(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_list_features(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_list_features(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_list_featurestores(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_list_featurestores(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_search_features(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_search_features(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_update_entity_type(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_update_entity_type(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_update_feature(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_update_feature(self, response):
                logging.log(f"Received response: {response}")
                return response

            async def pre_update_featurestore(self, request, metadata):
                logging.log(f"Received request: {request}")
                return request, metadata

            async def post_update_featurestore(self, response):
                logging.log(f"Received response: {response}")
                return response

        transport = AsyncFeaturestoreServiceRestTransport(interceptor=MyCustomFeaturestoreServiceInterceptor())
        client = async FeaturestoreServiceClient(transport=transport)


    """

    async def pre_batch_create_features(
        self,
        request: featurestore_service.BatchCreateFeaturesRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[
        featurestore_service.BatchCreateFeaturesRequest, Sequence[Tuple[str, str]]
    ]:
        """Pre-rpc interceptor for batch_create_features

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_batch_create_features(
        self, response: operations_pb2.Operation
    ) -> operations_pb2.Operation:
        """Post-rpc interceptor for batch_create_features

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_batch_read_feature_values(
        self,
        request: featurestore_service.BatchReadFeatureValuesRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[
        featurestore_service.BatchReadFeatureValuesRequest, Sequence[Tuple[str, str]]
    ]:
        """Pre-rpc interceptor for batch_read_feature_values

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_batch_read_feature_values(
        self, response: operations_pb2.Operation
    ) -> operations_pb2.Operation:
        """Post-rpc interceptor for batch_read_feature_values

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_create_entity_type(
        self,
        request: featurestore_service.CreateEntityTypeRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[featurestore_service.CreateEntityTypeRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for create_entity_type

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_create_entity_type(
        self, response: operations_pb2.Operation
    ) -> operations_pb2.Operation:
        """Post-rpc interceptor for create_entity_type

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_create_feature(
        self,
        request: featurestore_service.CreateFeatureRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[featurestore_service.CreateFeatureRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for create_feature

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_create_feature(
        self, response: operations_pb2.Operation
    ) -> operations_pb2.Operation:
        """Post-rpc interceptor for create_feature

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_create_featurestore(
        self,
        request: featurestore_service.CreateFeaturestoreRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[
        featurestore_service.CreateFeaturestoreRequest, Sequence[Tuple[str, str]]
    ]:
        """Pre-rpc interceptor for create_featurestore

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_create_featurestore(
        self, response: operations_pb2.Operation
    ) -> operations_pb2.Operation:
        """Post-rpc interceptor for create_featurestore

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_delete_entity_type(
        self,
        request: featurestore_service.DeleteEntityTypeRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[featurestore_service.DeleteEntityTypeRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for delete_entity_type

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_delete_entity_type(
        self, response: operations_pb2.Operation
    ) -> operations_pb2.Operation:
        """Post-rpc interceptor for delete_entity_type

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_delete_feature(
        self,
        request: featurestore_service.DeleteFeatureRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[featurestore_service.DeleteFeatureRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for delete_feature

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_delete_feature(
        self, response: operations_pb2.Operation
    ) -> operations_pb2.Operation:
        """Post-rpc interceptor for delete_feature

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_delete_featurestore(
        self,
        request: featurestore_service.DeleteFeaturestoreRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[
        featurestore_service.DeleteFeaturestoreRequest, Sequence[Tuple[str, str]]
    ]:
        """Pre-rpc interceptor for delete_featurestore

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_delete_featurestore(
        self, response: operations_pb2.Operation
    ) -> operations_pb2.Operation:
        """Post-rpc interceptor for delete_featurestore

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_delete_feature_values(
        self,
        request: featurestore_service.DeleteFeatureValuesRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[
        featurestore_service.DeleteFeatureValuesRequest, Sequence[Tuple[str, str]]
    ]:
        """Pre-rpc interceptor for delete_feature_values

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_delete_feature_values(
        self, response: operations_pb2.Operation
    ) -> operations_pb2.Operation:
        """Post-rpc interceptor for delete_feature_values

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_export_feature_values(
        self,
        request: featurestore_service.ExportFeatureValuesRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[
        featurestore_service.ExportFeatureValuesRequest, Sequence[Tuple[str, str]]
    ]:
        """Pre-rpc interceptor for export_feature_values

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_export_feature_values(
        self, response: operations_pb2.Operation
    ) -> operations_pb2.Operation:
        """Post-rpc interceptor for export_feature_values

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_get_entity_type(
        self,
        request: featurestore_service.GetEntityTypeRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[featurestore_service.GetEntityTypeRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for get_entity_type

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_get_entity_type(
        self, response: entity_type.EntityType
    ) -> entity_type.EntityType:
        """Post-rpc interceptor for get_entity_type

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_get_feature(
        self,
        request: featurestore_service.GetFeatureRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[featurestore_service.GetFeatureRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for get_feature

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_get_feature(self, response: feature.Feature) -> feature.Feature:
        """Post-rpc interceptor for get_feature

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_get_featurestore(
        self,
        request: featurestore_service.GetFeaturestoreRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[featurestore_service.GetFeaturestoreRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for get_featurestore

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_get_featurestore(
        self, response: featurestore.Featurestore
    ) -> featurestore.Featurestore:
        """Post-rpc interceptor for get_featurestore

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_import_feature_values(
        self,
        request: featurestore_service.ImportFeatureValuesRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[
        featurestore_service.ImportFeatureValuesRequest, Sequence[Tuple[str, str]]
    ]:
        """Pre-rpc interceptor for import_feature_values

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_import_feature_values(
        self, response: operations_pb2.Operation
    ) -> operations_pb2.Operation:
        """Post-rpc interceptor for import_feature_values

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_list_entity_types(
        self,
        request: featurestore_service.ListEntityTypesRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[featurestore_service.ListEntityTypesRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for list_entity_types

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_list_entity_types(
        self, response: featurestore_service.ListEntityTypesResponse
    ) -> featurestore_service.ListEntityTypesResponse:
        """Post-rpc interceptor for list_entity_types

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_list_features(
        self,
        request: featurestore_service.ListFeaturesRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[featurestore_service.ListFeaturesRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for list_features

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_list_features(
        self, response: featurestore_service.ListFeaturesResponse
    ) -> featurestore_service.ListFeaturesResponse:
        """Post-rpc interceptor for list_features

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_list_featurestores(
        self,
        request: featurestore_service.ListFeaturestoresRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[
        featurestore_service.ListFeaturestoresRequest, Sequence[Tuple[str, str]]
    ]:
        """Pre-rpc interceptor for list_featurestores

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_list_featurestores(
        self, response: featurestore_service.ListFeaturestoresResponse
    ) -> featurestore_service.ListFeaturestoresResponse:
        """Post-rpc interceptor for list_featurestores

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_search_features(
        self,
        request: featurestore_service.SearchFeaturesRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[featurestore_service.SearchFeaturesRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for search_features

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_search_features(
        self, response: featurestore_service.SearchFeaturesResponse
    ) -> featurestore_service.SearchFeaturesResponse:
        """Post-rpc interceptor for search_features

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_update_entity_type(
        self,
        request: featurestore_service.UpdateEntityTypeRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[featurestore_service.UpdateEntityTypeRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for update_entity_type

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_update_entity_type(
        self, response: gca_entity_type.EntityType
    ) -> gca_entity_type.EntityType:
        """Post-rpc interceptor for update_entity_type

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_update_feature(
        self,
        request: featurestore_service.UpdateFeatureRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[featurestore_service.UpdateFeatureRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for update_feature

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_update_feature(
        self, response: gca_feature.Feature
    ) -> gca_feature.Feature:
        """Post-rpc interceptor for update_feature

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_update_featurestore(
        self,
        request: featurestore_service.UpdateFeaturestoreRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[
        featurestore_service.UpdateFeaturestoreRequest, Sequence[Tuple[str, str]]
    ]:
        """Pre-rpc interceptor for update_featurestore

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_update_featurestore(
        self, response: operations_pb2.Operation
    ) -> operations_pb2.Operation:
        """Post-rpc interceptor for update_featurestore

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_get_location(
        self,
        request: locations_pb2.GetLocationRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[locations_pb2.GetLocationRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for get_location

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_get_location(
        self, response: locations_pb2.Location
    ) -> locations_pb2.Location:
        """Post-rpc interceptor for get_location

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_list_locations(
        self,
        request: locations_pb2.ListLocationsRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[locations_pb2.ListLocationsRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for list_locations

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_list_locations(
        self, response: locations_pb2.ListLocationsResponse
    ) -> locations_pb2.ListLocationsResponse:
        """Post-rpc interceptor for list_locations

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_get_iam_policy(
        self,
        request: iam_policy_pb2.GetIamPolicyRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[iam_policy_pb2.GetIamPolicyRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for get_iam_policy

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_get_iam_policy(
        self, response: policy_pb2.Policy
    ) -> policy_pb2.Policy:
        """Post-rpc interceptor for get_iam_policy

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_set_iam_policy(
        self,
        request: iam_policy_pb2.SetIamPolicyRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[iam_policy_pb2.SetIamPolicyRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for set_iam_policy

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_set_iam_policy(
        self, response: policy_pb2.Policy
    ) -> policy_pb2.Policy:
        """Post-rpc interceptor for set_iam_policy

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_test_iam_permissions(
        self,
        request: iam_policy_pb2.TestIamPermissionsRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[iam_policy_pb2.TestIamPermissionsRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for test_iam_permissions

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_test_iam_permissions(
        self, response: iam_policy_pb2.TestIamPermissionsResponse
    ) -> iam_policy_pb2.TestIamPermissionsResponse:
        """Post-rpc interceptor for test_iam_permissions

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_cancel_operation(
        self,
        request: operations_pb2.CancelOperationRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[operations_pb2.CancelOperationRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for cancel_operation

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_cancel_operation(self, response: None) -> None:
        """Post-rpc interceptor for cancel_operation

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_delete_operation(
        self,
        request: operations_pb2.DeleteOperationRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[operations_pb2.DeleteOperationRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for delete_operation

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_delete_operation(self, response: None) -> None:
        """Post-rpc interceptor for delete_operation

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_get_operation(
        self,
        request: operations_pb2.GetOperationRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[operations_pb2.GetOperationRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for get_operation

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_get_operation(
        self, response: operations_pb2.Operation
    ) -> operations_pb2.Operation:
        """Post-rpc interceptor for get_operation

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_list_operations(
        self,
        request: operations_pb2.ListOperationsRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[operations_pb2.ListOperationsRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for list_operations

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_list_operations(
        self, response: operations_pb2.ListOperationsResponse
    ) -> operations_pb2.ListOperationsResponse:
        """Post-rpc interceptor for list_operations

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response

    async def pre_wait_operation(
        self,
        request: operations_pb2.WaitOperationRequest,
        metadata: Sequence[Tuple[str, str]],
    ) -> Tuple[operations_pb2.WaitOperationRequest, Sequence[Tuple[str, str]]]:
        """Pre-rpc interceptor for wait_operation

        Override in a subclass to manipulate the request or metadata
        before they are sent to the FeaturestoreService server.
        """
        return request, metadata

    async def post_wait_operation(
        self, response: operations_pb2.Operation
    ) -> operations_pb2.Operation:
        """Post-rpc interceptor for wait_operation

        Override in a subclass to manipulate the response
        after it is returned by the FeaturestoreService server but before
        it is returned to user code.
        """
        return response


@dataclasses.dataclass
class AsyncFeaturestoreServiceRestStub:
    _session: AsyncAuthorizedSession
    _host: str
    _interceptor: AsyncFeaturestoreServiceRestInterceptor


class AsyncFeaturestoreServiceRestTransport(_BaseFeaturestoreServiceRestTransport):
    """Asynchronous REST backend transport for FeaturestoreService.

    The service that handles CRUD and List for resources for
    Featurestore.

    This class defines the same methods as the primary client, so the
    primary client can load the underlying transport implementation
    and call it.

    It sends JSON representations of protocol buffers over HTTP/1.1
    """

    def __init__(
        self,
        *,
        host: str = "aiplatform.googleapis.com",
        credentials: Optional[ga_credentials_async.Credentials] = None,
        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
        url_scheme: str = "https",
        interceptor: Optional[AsyncFeaturestoreServiceRestInterceptor] = None,
    ) -> None:
        """Instantiate the transport.

        Args:
            host (Optional[str]):
                 The hostname to connect to (default: 'aiplatform.googleapis.com').
            credentials (Optional[google.auth.aio.credentials.Credentials]): The
                authorization credentials to attach to requests. These
                credentials identify the application to the service; if none
                are specified, the client will attempt to ascertain the
                credentials from the environment.
            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
                The client info used to send a user-agent string along with
                API requests. If ``None``, then default info will be used.
                Generally, you only need to set this if you are developing
                your own client library.
            url_scheme (str): the protocol scheme for the API endpoint.  Normally
                "https", but for testing or local servers,
                "http" can be specified.
        """
        # Run the base constructor
        super().__init__(
            host=host,
            credentials=credentials,
            client_info=client_info,
            always_use_jwt_access=False,
            url_scheme=url_scheme,
            api_audience=None,
        )
        self._session = AsyncAuthorizedSession(self._credentials)  # type: ignore
        self._interceptor = interceptor or AsyncFeaturestoreServiceRestInterceptor()
        self._wrap_with_kind = True
        self._prep_wrapped_messages(client_info)
        self._operations_client: Optional[
            operations_v1.AsyncOperationsRestClient
        ] = None

    def _prep_wrapped_messages(self, client_info):
        """Precompute the wrapped methods, overriding the base class method to use async wrappers."""
        self._wrapped_methods = {
            self.create_featurestore: self._wrap_method(
                self.create_featurestore,
                default_timeout=None,
                client_info=client_info,
            ),
            self.get_featurestore: self._wrap_method(
                self.get_featurestore,
                default_timeout=None,
                client_info=client_info,
            ),
            self.list_featurestores: self._wrap_method(
                self.list_featurestores,
                default_timeout=None,
                client_info=client_info,
            ),
            self.update_featurestore: self._wrap_method(
                self.update_featurestore,
                default_timeout=None,
                client_info=client_info,
            ),
            self.delete_featurestore: self._wrap_method(
                self.delete_featurestore,
                default_timeout=None,
                client_info=client_info,
            ),
            self.create_entity_type: self._wrap_method(
                self.create_entity_type,
                default_timeout=None,
                client_info=client_info,
            ),
            self.get_entity_type: self._wrap_method(
                self.get_entity_type,
                default_timeout=None,
                client_info=client_info,
            ),
            self.list_entity_types: self._wrap_method(
                self.list_entity_types,
                default_timeout=None,
                client_info=client_info,
            ),
            self.update_entity_type: self._wrap_method(
                self.update_entity_type,
                default_timeout=None,
                client_info=client_info,
            ),
            self.delete_entity_type: self._wrap_method(
                self.delete_entity_type,
                default_timeout=None,
                client_info=client_info,
            ),
            self.create_feature: self._wrap_method(
                self.create_feature,
                default_timeout=None,
                client_info=client_info,
            ),
            self.batch_create_features: self._wrap_method(
                self.batch_create_features,
                default_timeout=None,
                client_info=client_info,
            ),
            self.get_feature: self._wrap_method(
                self.get_feature,
                default_timeout=None,
                client_info=client_info,
            ),
            self.list_features: self._wrap_method(
                self.list_features,
                default_timeout=None,
                client_info=client_info,
            ),
            self.update_feature: self._wrap_method(
                self.update_feature,
                default_timeout=None,
                client_info=client_info,
            ),
            self.delete_feature: self._wrap_method(
                self.delete_feature,
                default_timeout=None,
                client_info=client_info,
            ),
            self.import_feature_values: self._wrap_method(
                self.import_feature_values,
                default_timeout=None,
                client_info=client_info,
            ),
            self.batch_read_feature_values: self._wrap_method(
                self.batch_read_feature_values,
                default_timeout=None,
                client_info=client_info,
            ),
            self.export_feature_values: self._wrap_method(
                self.export_feature_values,
                default_timeout=None,
                client_info=client_info,
            ),
            self.delete_feature_values: self._wrap_method(
                self.delete_feature_values,
                default_timeout=None,
                client_info=client_info,
            ),
            self.search_features: self._wrap_method(
                self.search_features,
                default_timeout=None,
                client_info=client_info,
            ),
            self.get_location: self._wrap_method(
                self.get_location,
                default_timeout=None,
                client_info=client_info,
            ),
            self.list_locations: self._wrap_method(
                self.list_locations,
                default_timeout=None,
                client_info=client_info,
            ),
            self.get_iam_policy: self._wrap_method(
                self.get_iam_policy,
                default_timeout=None,
                client_info=client_info,
            ),
            self.set_iam_policy: self._wrap_method(
                self.set_iam_policy,
                default_timeout=None,
                client_info=client_info,
            ),
            self.test_iam_permissions: self._wrap_method(
                self.test_iam_permissions,
                default_timeout=None,
                client_info=client_info,
            ),
            self.cancel_operation: self._wrap_method(
                self.cancel_operation,
                default_timeout=None,
                client_info=client_info,
            ),
            self.delete_operation: self._wrap_method(
                self.delete_operation,
                default_timeout=None,
                client_info=client_info,
            ),
            self.get_operation: self._wrap_method(
                self.get_operation,
                default_timeout=None,
                client_info=client_info,
            ),
            self.list_operations: self._wrap_method(
                self.list_operations,
                default_timeout=None,
                client_info=client_info,
            ),
            self.wait_operation: self._wrap_method(
                self.wait_operation,
                default_timeout=None,
                client_info=client_info,
            ),
        }

    def _wrap_method(self, func, *args, **kwargs):
        if self._wrap_with_kind:  # pragma: NO COVER
            kwargs["kind"] = self.kind
        return gapic_v1.method_async.wrap_method(func, *args, **kwargs)

    class _BatchCreateFeatures(
        _BaseFeaturestoreServiceRestTransport._BaseBatchCreateFeatures,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.BatchCreateFeatures")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
                data=body,
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.BatchCreateFeaturesRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> operations_pb2.Operation:
            r"""Call the batch create features method over HTTP.

            Args:
                request (~.featurestore_service.BatchCreateFeaturesRequest):
                    The request object. Request message for
                [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1.FeaturestoreService.BatchCreateFeatures].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.operations_pb2.Operation:
                    This resource represents a
                long-running operation that is the
                result of a network API call.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseBatchCreateFeatures._get_http_options()
            )
            request, metadata = await self._interceptor.pre_batch_create_features(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseBatchCreateFeatures._get_transcoded_request(
                http_options, request
            )

            body = _BaseFeaturestoreServiceRestTransport._BaseBatchCreateFeatures._get_request_body_json(
                transcoded_request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseBatchCreateFeatures._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._BatchCreateFeatures._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
                body,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = operations_pb2.Operation()
            pb_resp = resp
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_batch_create_features(resp)
            return resp

    class _BatchReadFeatureValues(
        _BaseFeaturestoreServiceRestTransport._BaseBatchReadFeatureValues,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.BatchReadFeatureValues")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
                data=body,
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.BatchReadFeatureValuesRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> operations_pb2.Operation:
            r"""Call the batch read feature values method over HTTP.

            Args:
                request (~.featurestore_service.BatchReadFeatureValuesRequest):
                    The request object. Request message for
                [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.BatchReadFeatureValues].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.operations_pb2.Operation:
                    This resource represents a
                long-running operation that is the
                result of a network API call.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseBatchReadFeatureValues._get_http_options()
            )
            request, metadata = await self._interceptor.pre_batch_read_feature_values(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseBatchReadFeatureValues._get_transcoded_request(
                http_options, request
            )

            body = _BaseFeaturestoreServiceRestTransport._BaseBatchReadFeatureValues._get_request_body_json(
                transcoded_request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseBatchReadFeatureValues._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._BatchReadFeatureValues._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
                body,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = operations_pb2.Operation()
            pb_resp = resp
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_batch_read_feature_values(resp)
            return resp

    class _CreateEntityType(
        _BaseFeaturestoreServiceRestTransport._BaseCreateEntityType,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.CreateEntityType")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
                data=body,
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.CreateEntityTypeRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> operations_pb2.Operation:
            r"""Call the create entity type method over HTTP.

            Args:
                request (~.featurestore_service.CreateEntityTypeRequest):
                    The request object. Request message for
                [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.CreateEntityType].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.operations_pb2.Operation:
                    This resource represents a
                long-running operation that is the
                result of a network API call.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseCreateEntityType._get_http_options()
            )
            request, metadata = await self._interceptor.pre_create_entity_type(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseCreateEntityType._get_transcoded_request(
                http_options, request
            )

            body = _BaseFeaturestoreServiceRestTransport._BaseCreateEntityType._get_request_body_json(
                transcoded_request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseCreateEntityType._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._CreateEntityType._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
                body,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = operations_pb2.Operation()
            pb_resp = resp
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_create_entity_type(resp)
            return resp

    class _CreateFeature(
        _BaseFeaturestoreServiceRestTransport._BaseCreateFeature,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.CreateFeature")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
                data=body,
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.CreateFeatureRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> operations_pb2.Operation:
            r"""Call the create feature method over HTTP.

            Args:
                request (~.featurestore_service.CreateFeatureRequest):
                    The request object. Request message for
                [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeature].
                Request message for
                [FeatureRegistryService.CreateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.CreateFeature].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.operations_pb2.Operation:
                    This resource represents a
                long-running operation that is the
                result of a network API call.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseCreateFeature._get_http_options()
            )
            request, metadata = await self._interceptor.pre_create_feature(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseCreateFeature._get_transcoded_request(
                http_options, request
            )

            body = _BaseFeaturestoreServiceRestTransport._BaseCreateFeature._get_request_body_json(
                transcoded_request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseCreateFeature._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._CreateFeature._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
                body,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = operations_pb2.Operation()
            pb_resp = resp
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_create_feature(resp)
            return resp

    class _CreateFeaturestore(
        _BaseFeaturestoreServiceRestTransport._BaseCreateFeaturestore,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.CreateFeaturestore")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
                data=body,
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.CreateFeaturestoreRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> operations_pb2.Operation:
            r"""Call the create featurestore method over HTTP.

            Args:
                request (~.featurestore_service.CreateFeaturestoreRequest):
                    The request object. Request message for
                [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.CreateFeaturestore].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.operations_pb2.Operation:
                    This resource represents a
                long-running operation that is the
                result of a network API call.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseCreateFeaturestore._get_http_options()
            )
            request, metadata = await self._interceptor.pre_create_featurestore(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseCreateFeaturestore._get_transcoded_request(
                http_options, request
            )

            body = _BaseFeaturestoreServiceRestTransport._BaseCreateFeaturestore._get_request_body_json(
                transcoded_request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseCreateFeaturestore._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._CreateFeaturestore._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
                body,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = operations_pb2.Operation()
            pb_resp = resp
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_create_featurestore(resp)
            return resp

    class _DeleteEntityType(
        _BaseFeaturestoreServiceRestTransport._BaseDeleteEntityType,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.DeleteEntityType")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.DeleteEntityTypeRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> operations_pb2.Operation:
            r"""Call the delete entity type method over HTTP.

            Args:
                request (~.featurestore_service.DeleteEntityTypeRequest):
                    The request object. Request message for
                [FeaturestoreService.DeleteEntityTypes][].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.operations_pb2.Operation:
                    This resource represents a
                long-running operation that is the
                result of a network API call.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseDeleteEntityType._get_http_options()
            )
            request, metadata = await self._interceptor.pre_delete_entity_type(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseDeleteEntityType._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseDeleteEntityType._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._DeleteEntityType._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = operations_pb2.Operation()
            pb_resp = resp
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_delete_entity_type(resp)
            return resp

    class _DeleteFeature(
        _BaseFeaturestoreServiceRestTransport._BaseDeleteFeature,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.DeleteFeature")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.DeleteFeatureRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> operations_pb2.Operation:
            r"""Call the delete feature method over HTTP.

            Args:
                request (~.featurestore_service.DeleteFeatureRequest):
                    The request object. Request message for
                [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeature].
                Request message for
                [FeatureRegistryService.DeleteFeature][google.cloud.aiplatform.v1.FeatureRegistryService.DeleteFeature].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.operations_pb2.Operation:
                    This resource represents a
                long-running operation that is the
                result of a network API call.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseDeleteFeature._get_http_options()
            )
            request, metadata = await self._interceptor.pre_delete_feature(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseDeleteFeature._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseDeleteFeature._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._DeleteFeature._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = operations_pb2.Operation()
            pb_resp = resp
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_delete_feature(resp)
            return resp

    class _DeleteFeaturestore(
        _BaseFeaturestoreServiceRestTransport._BaseDeleteFeaturestore,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.DeleteFeaturestore")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.DeleteFeaturestoreRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> operations_pb2.Operation:
            r"""Call the delete featurestore method over HTTP.

            Args:
                request (~.featurestore_service.DeleteFeaturestoreRequest):
                    The request object. Request message for
                [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeaturestore].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.operations_pb2.Operation:
                    This resource represents a
                long-running operation that is the
                result of a network API call.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseDeleteFeaturestore._get_http_options()
            )
            request, metadata = await self._interceptor.pre_delete_featurestore(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseDeleteFeaturestore._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseDeleteFeaturestore._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._DeleteFeaturestore._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = operations_pb2.Operation()
            pb_resp = resp
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_delete_featurestore(resp)
            return resp

    class _DeleteFeatureValues(
        _BaseFeaturestoreServiceRestTransport._BaseDeleteFeatureValues,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.DeleteFeatureValues")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
                data=body,
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.DeleteFeatureValuesRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> operations_pb2.Operation:
            r"""Call the delete feature values method over HTTP.

            Args:
                request (~.featurestore_service.DeleteFeatureValuesRequest):
                    The request object. Request message for
                [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.DeleteFeatureValues].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.operations_pb2.Operation:
                    This resource represents a
                long-running operation that is the
                result of a network API call.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseDeleteFeatureValues._get_http_options()
            )
            request, metadata = await self._interceptor.pre_delete_feature_values(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseDeleteFeatureValues._get_transcoded_request(
                http_options, request
            )

            body = _BaseFeaturestoreServiceRestTransport._BaseDeleteFeatureValues._get_request_body_json(
                transcoded_request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseDeleteFeatureValues._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._DeleteFeatureValues._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
                body,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = operations_pb2.Operation()
            pb_resp = resp
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_delete_feature_values(resp)
            return resp

    class _ExportFeatureValues(
        _BaseFeaturestoreServiceRestTransport._BaseExportFeatureValues,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.ExportFeatureValues")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
                data=body,
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.ExportFeatureValuesRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> operations_pb2.Operation:
            r"""Call the export feature values method over HTTP.

            Args:
                request (~.featurestore_service.ExportFeatureValuesRequest):
                    The request object. Request message for
                [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ExportFeatureValues].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.operations_pb2.Operation:
                    This resource represents a
                long-running operation that is the
                result of a network API call.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseExportFeatureValues._get_http_options()
            )
            request, metadata = await self._interceptor.pre_export_feature_values(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseExportFeatureValues._get_transcoded_request(
                http_options, request
            )

            body = _BaseFeaturestoreServiceRestTransport._BaseExportFeatureValues._get_request_body_json(
                transcoded_request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseExportFeatureValues._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._ExportFeatureValues._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
                body,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = operations_pb2.Operation()
            pb_resp = resp
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_export_feature_values(resp)
            return resp

    class _GetEntityType(
        _BaseFeaturestoreServiceRestTransport._BaseGetEntityType,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.GetEntityType")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.GetEntityTypeRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> entity_type.EntityType:
            r"""Call the get entity type method over HTTP.

            Args:
                request (~.featurestore_service.GetEntityTypeRequest):
                    The request object. Request message for
                [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1.FeaturestoreService.GetEntityType].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.entity_type.EntityType:
                    An entity type is a type of object in
                a system that needs to be modeled and
                have stored information about. For
                example, driver is an entity type, and
                driver0 is an instance of an entity type
                driver.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseGetEntityType._get_http_options()
            )
            request, metadata = await self._interceptor.pre_get_entity_type(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseGetEntityType._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseGetEntityType._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._GetEntityType._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = entity_type.EntityType()
            pb_resp = entity_type.EntityType.pb(resp)
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_get_entity_type(resp)
            return resp

    class _GetFeature(
        _BaseFeaturestoreServiceRestTransport._BaseGetFeature,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.GetFeature")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.GetFeatureRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> feature.Feature:
            r"""Call the get feature method over HTTP.

            Args:
                request (~.featurestore_service.GetFeatureRequest):
                    The request object. Request message for
                [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1.FeaturestoreService.GetFeature].
                Request message for
                [FeatureRegistryService.GetFeature][google.cloud.aiplatform.v1.FeatureRegistryService.GetFeature].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.feature.Feature:
                    Feature Metadata information.
                For example, color is a feature that
                describes an apple.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseGetFeature._get_http_options()
            )
            request, metadata = await self._interceptor.pre_get_feature(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseGetFeature._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseGetFeature._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = (
                await AsyncFeaturestoreServiceRestTransport._GetFeature._get_response(
                    self._host,
                    metadata,
                    query_params,
                    self._session,
                    timeout,
                    transcoded_request,
                )
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = feature.Feature()
            pb_resp = feature.Feature.pb(resp)
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_get_feature(resp)
            return resp

    class _GetFeaturestore(
        _BaseFeaturestoreServiceRestTransport._BaseGetFeaturestore,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.GetFeaturestore")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.GetFeaturestoreRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> featurestore.Featurestore:
            r"""Call the get featurestore method over HTTP.

            Args:
                request (~.featurestore_service.GetFeaturestoreRequest):
                    The request object. Request message for
                [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.GetFeaturestore].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.featurestore.Featurestore:
                    Vertex AI Feature Store provides a
                centralized repository for organizing,
                storing, and serving ML features. The
                Featurestore is a top-level container
                for your features and their values.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseGetFeaturestore._get_http_options()
            )
            request, metadata = await self._interceptor.pre_get_featurestore(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseGetFeaturestore._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseGetFeaturestore._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._GetFeaturestore._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = featurestore.Featurestore()
            pb_resp = featurestore.Featurestore.pb(resp)
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_get_featurestore(resp)
            return resp

    class _ImportFeatureValues(
        _BaseFeaturestoreServiceRestTransport._BaseImportFeatureValues,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.ImportFeatureValues")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
                data=body,
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.ImportFeatureValuesRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> operations_pb2.Operation:
            r"""Call the import feature values method over HTTP.

            Args:
                request (~.featurestore_service.ImportFeatureValuesRequest):
                    The request object. Request message for
                [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1.FeaturestoreService.ImportFeatureValues].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.operations_pb2.Operation:
                    This resource represents a
                long-running operation that is the
                result of a network API call.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseImportFeatureValues._get_http_options()
            )
            request, metadata = await self._interceptor.pre_import_feature_values(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseImportFeatureValues._get_transcoded_request(
                http_options, request
            )

            body = _BaseFeaturestoreServiceRestTransport._BaseImportFeatureValues._get_request_body_json(
                transcoded_request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseImportFeatureValues._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._ImportFeatureValues._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
                body,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = operations_pb2.Operation()
            pb_resp = resp
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_import_feature_values(resp)
            return resp

    class _ListEntityTypes(
        _BaseFeaturestoreServiceRestTransport._BaseListEntityTypes,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.ListEntityTypes")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.ListEntityTypesRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> featurestore_service.ListEntityTypesResponse:
            r"""Call the list entity types method over HTTP.

            Args:
                request (~.featurestore_service.ListEntityTypesRequest):
                    The request object. Request message for
                [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.featurestore_service.ListEntityTypesResponse:
                    Response message for
                [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1.FeaturestoreService.ListEntityTypes].

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseListEntityTypes._get_http_options()
            )
            request, metadata = await self._interceptor.pre_list_entity_types(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseListEntityTypes._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseListEntityTypes._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._ListEntityTypes._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = featurestore_service.ListEntityTypesResponse()
            pb_resp = featurestore_service.ListEntityTypesResponse.pb(resp)
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_list_entity_types(resp)
            return resp

    class _ListFeatures(
        _BaseFeaturestoreServiceRestTransport._BaseListFeatures,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.ListFeatures")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.ListFeaturesRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> featurestore_service.ListFeaturesResponse:
            r"""Call the list features method over HTTP.

            Args:
                request (~.featurestore_service.ListFeaturesRequest):
                    The request object. Request message for
                [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
                Request message for
                [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.featurestore_service.ListFeaturesResponse:
                    Response message for
                [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1.FeaturestoreService.ListFeatures].
                Response message for
                [FeatureRegistryService.ListFeatures][google.cloud.aiplatform.v1.FeatureRegistryService.ListFeatures].

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseListFeatures._get_http_options()
            )
            request, metadata = await self._interceptor.pre_list_features(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseListFeatures._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseListFeatures._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = (
                await AsyncFeaturestoreServiceRestTransport._ListFeatures._get_response(
                    self._host,
                    metadata,
                    query_params,
                    self._session,
                    timeout,
                    transcoded_request,
                )
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = featurestore_service.ListFeaturesResponse()
            pb_resp = featurestore_service.ListFeaturesResponse.pb(resp)
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_list_features(resp)
            return resp

    class _ListFeaturestores(
        _BaseFeaturestoreServiceRestTransport._BaseListFeaturestores,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.ListFeaturestores")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.ListFeaturestoresRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> featurestore_service.ListFeaturestoresResponse:
            r"""Call the list featurestores method over HTTP.

            Args:
                request (~.featurestore_service.ListFeaturestoresRequest):
                    The request object. Request message for
                [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.featurestore_service.ListFeaturestoresResponse:
                    Response message for
                [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1.FeaturestoreService.ListFeaturestores].

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseListFeaturestores._get_http_options()
            )
            request, metadata = await self._interceptor.pre_list_featurestores(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseListFeaturestores._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseListFeaturestores._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._ListFeaturestores._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = featurestore_service.ListFeaturestoresResponse()
            pb_resp = featurestore_service.ListFeaturestoresResponse.pb(resp)
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_list_featurestores(resp)
            return resp

    class _SearchFeatures(
        _BaseFeaturestoreServiceRestTransport._BaseSearchFeatures,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.SearchFeatures")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.SearchFeaturesRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> featurestore_service.SearchFeaturesResponse:
            r"""Call the search features method over HTTP.

            Args:
                request (~.featurestore_service.SearchFeaturesRequest):
                    The request object. Request message for
                [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.featurestore_service.SearchFeaturesResponse:
                    Response message for
                [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1.FeaturestoreService.SearchFeatures].

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseSearchFeatures._get_http_options()
            )
            request, metadata = await self._interceptor.pre_search_features(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseSearchFeatures._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseSearchFeatures._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._SearchFeatures._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = featurestore_service.SearchFeaturesResponse()
            pb_resp = featurestore_service.SearchFeaturesResponse.pb(resp)
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_search_features(resp)
            return resp

    class _UpdateEntityType(
        _BaseFeaturestoreServiceRestTransport._BaseUpdateEntityType,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.UpdateEntityType")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
                data=body,
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.UpdateEntityTypeRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> gca_entity_type.EntityType:
            r"""Call the update entity type method over HTTP.

            Args:
                request (~.featurestore_service.UpdateEntityTypeRequest):
                    The request object. Request message for
                [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1.FeaturestoreService.UpdateEntityType].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.gca_entity_type.EntityType:
                    An entity type is a type of object in
                a system that needs to be modeled and
                have stored information about. For
                example, driver is an entity type, and
                driver0 is an instance of an entity type
                driver.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseUpdateEntityType._get_http_options()
            )
            request, metadata = await self._interceptor.pre_update_entity_type(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseUpdateEntityType._get_transcoded_request(
                http_options, request
            )

            body = _BaseFeaturestoreServiceRestTransport._BaseUpdateEntityType._get_request_body_json(
                transcoded_request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseUpdateEntityType._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._UpdateEntityType._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
                body,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = gca_entity_type.EntityType()
            pb_resp = gca_entity_type.EntityType.pb(resp)
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_update_entity_type(resp)
            return resp

    class _UpdateFeature(
        _BaseFeaturestoreServiceRestTransport._BaseUpdateFeature,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.UpdateFeature")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
                data=body,
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.UpdateFeatureRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> gca_feature.Feature:
            r"""Call the update feature method over HTTP.

            Args:
                request (~.featurestore_service.UpdateFeatureRequest):
                    The request object. Request message for
                [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeature].
                Request message for
                [FeatureRegistryService.UpdateFeature][google.cloud.aiplatform.v1.FeatureRegistryService.UpdateFeature].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.gca_feature.Feature:
                    Feature Metadata information.
                For example, color is a feature that
                describes an apple.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseUpdateFeature._get_http_options()
            )
            request, metadata = await self._interceptor.pre_update_feature(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseUpdateFeature._get_transcoded_request(
                http_options, request
            )

            body = _BaseFeaturestoreServiceRestTransport._BaseUpdateFeature._get_request_body_json(
                transcoded_request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseUpdateFeature._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._UpdateFeature._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
                body,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = gca_feature.Feature()
            pb_resp = gca_feature.Feature.pb(resp)
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_update_feature(resp)
            return resp

    class _UpdateFeaturestore(
        _BaseFeaturestoreServiceRestTransport._BaseUpdateFeaturestore,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.UpdateFeaturestore")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
                data=body,
            )
            return response

        async def __call__(
            self,
            request: featurestore_service.UpdateFeaturestoreRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> operations_pb2.Operation:
            r"""Call the update featurestore method over HTTP.

            Args:
                request (~.featurestore_service.UpdateFeaturestoreRequest):
                    The request object. Request message for
                [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1.FeaturestoreService.UpdateFeaturestore].
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                ~.operations_pb2.Operation:
                    This resource represents a
                long-running operation that is the
                result of a network API call.

            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseUpdateFeaturestore._get_http_options()
            )
            request, metadata = await self._interceptor.pre_update_featurestore(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseUpdateFeaturestore._get_transcoded_request(
                http_options, request
            )

            body = _BaseFeaturestoreServiceRestTransport._BaseUpdateFeaturestore._get_request_body_json(
                transcoded_request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseUpdateFeaturestore._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._UpdateFeaturestore._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
                body,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            # Return the response
            resp = operations_pb2.Operation()
            pb_resp = resp
            content = await response.read()
            json_format.Parse(content, pb_resp, ignore_unknown_fields=True)
            resp = await self._interceptor.post_update_featurestore(resp)
            return resp

    @property
    def operations_client(self) -> AsyncOperationsRestClient:
        """Create the async client designed to process long-running operations.

        This property caches on the instance; repeated calls return the same
        client.
        """
        # Only create a new client if we do not already have one.
        if self._operations_client is None:
            http_options: Dict[str, List[Dict[str, str]]] = {
                "google.longrunning.Operations.CancelOperation": [
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:cancel",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:cancel",
                    },
                ],
                "google.longrunning.Operations.DeleteOperation": [
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}",
                    },
                    {
                        "method": "delete",
                        "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}",
                    },
                ],
                "google.longrunning.Operations.GetOperation": [
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/edgeDeploymentJobs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}",
                    },
                ],
                "google.longrunning.Operations.ListOperations": [
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/agents/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/apps/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/endpoints/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/extensions/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/featurestores/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/customJobs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/indexes/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/migratableResources/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/models/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/studies/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/persistentResources/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/schedules/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/specialistPools/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait",
                    },
                    {
                        "method": "get",
                        "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/endpoints/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/featurestores/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/customJobs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/tuningJobs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/indexes/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/migratableResources/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/models/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/studies/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/persistentResources/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/schedules/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/specialistPools/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*}/operations",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait",
                    },
                    {
                        "method": "get",
                        "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait",
                    },
                ],
                "google.longrunning.Operations.WaitOperation": [
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/agents/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/apps/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/edgeDevices/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/endpoints/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/extensionControllers/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/extensions/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/featurestores/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/customJobs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/tuningJobs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/indexes/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/modelMonitors/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/models/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/studies/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/schedules/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/ui/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/savedQueries/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/annotationSpecs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/datasets/*/dataItems/*/annotations/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/deploymentResourcePools/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/endpoints/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/featurestores/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/featurestores/*/entityTypes/*/features/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/customJobs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/dataLabelingJobs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/hyperparameterTuningJobs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/indexes/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/indexEndpoints/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/artifacts/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/contexts/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/metadataStores/*/executions/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/modelDeploymentMonitoringJobs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/migratableResources/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/models/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/models/*/evaluations/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/notebookExecutionJobs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/notebookRuntimes/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/notebookRuntimeTemplates/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/studies/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/studies/*/trials/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/trainingPipelines/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/persistentResources/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/pipelineJobs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/schedules/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/specialistPools/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/tensorboards/*/experiments/*/runs/*/timeSeries/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/featureOnlineStores/*/featureViews/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/operations/*}:wait",
                    },
                    {
                        "method": "post",
                        "uri": "/v1/{name=projects/*/locations/*/featureGroups/*/features/*/operations/*}:wait",
                    },
                ],
            }

            rest_transport = operations_v1.AsyncOperationsRestTransport(  # type: ignore
                host=self._host,
                # use the credentials which are saved
                credentials=self._credentials,  # type: ignore
                http_options=http_options,
                path_prefix="v1",
            )

            self._operations_client = AsyncOperationsRestClient(
                transport=rest_transport
            )

        # Return the client from cache.
        return self._operations_client

    @property
    def batch_create_features(
        self,
    ) -> Callable[
        [featurestore_service.BatchCreateFeaturesRequest], operations_pb2.Operation
    ]:
        return self._BatchCreateFeatures(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def batch_read_feature_values(
        self,
    ) -> Callable[
        [featurestore_service.BatchReadFeatureValuesRequest], operations_pb2.Operation
    ]:
        return self._BatchReadFeatureValues(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def create_entity_type(
        self,
    ) -> Callable[
        [featurestore_service.CreateEntityTypeRequest], operations_pb2.Operation
    ]:
        return self._CreateEntityType(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def create_feature(
        self,
    ) -> Callable[
        [featurestore_service.CreateFeatureRequest], operations_pb2.Operation
    ]:
        return self._CreateFeature(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def create_featurestore(
        self,
    ) -> Callable[
        [featurestore_service.CreateFeaturestoreRequest], operations_pb2.Operation
    ]:
        return self._CreateFeaturestore(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def delete_entity_type(
        self,
    ) -> Callable[
        [featurestore_service.DeleteEntityTypeRequest], operations_pb2.Operation
    ]:
        return self._DeleteEntityType(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def delete_feature(
        self,
    ) -> Callable[
        [featurestore_service.DeleteFeatureRequest], operations_pb2.Operation
    ]:
        return self._DeleteFeature(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def delete_featurestore(
        self,
    ) -> Callable[
        [featurestore_service.DeleteFeaturestoreRequest], operations_pb2.Operation
    ]:
        return self._DeleteFeaturestore(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def delete_feature_values(
        self,
    ) -> Callable[
        [featurestore_service.DeleteFeatureValuesRequest], operations_pb2.Operation
    ]:
        return self._DeleteFeatureValues(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def export_feature_values(
        self,
    ) -> Callable[
        [featurestore_service.ExportFeatureValuesRequest], operations_pb2.Operation
    ]:
        return self._ExportFeatureValues(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def get_entity_type(
        self,
    ) -> Callable[[featurestore_service.GetEntityTypeRequest], entity_type.EntityType]:
        return self._GetEntityType(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def get_feature(
        self,
    ) -> Callable[[featurestore_service.GetFeatureRequest], feature.Feature]:
        return self._GetFeature(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def get_featurestore(
        self,
    ) -> Callable[
        [featurestore_service.GetFeaturestoreRequest], featurestore.Featurestore
    ]:
        return self._GetFeaturestore(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def import_feature_values(
        self,
    ) -> Callable[
        [featurestore_service.ImportFeatureValuesRequest], operations_pb2.Operation
    ]:
        return self._ImportFeatureValues(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def list_entity_types(
        self,
    ) -> Callable[
        [featurestore_service.ListEntityTypesRequest],
        featurestore_service.ListEntityTypesResponse,
    ]:
        return self._ListEntityTypes(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def list_features(
        self,
    ) -> Callable[
        [featurestore_service.ListFeaturesRequest],
        featurestore_service.ListFeaturesResponse,
    ]:
        return self._ListFeatures(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def list_featurestores(
        self,
    ) -> Callable[
        [featurestore_service.ListFeaturestoresRequest],
        featurestore_service.ListFeaturestoresResponse,
    ]:
        return self._ListFeaturestores(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def search_features(
        self,
    ) -> Callable[
        [featurestore_service.SearchFeaturesRequest],
        featurestore_service.SearchFeaturesResponse,
    ]:
        return self._SearchFeatures(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def update_entity_type(
        self,
    ) -> Callable[
        [featurestore_service.UpdateEntityTypeRequest], gca_entity_type.EntityType
    ]:
        return self._UpdateEntityType(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def update_feature(
        self,
    ) -> Callable[[featurestore_service.UpdateFeatureRequest], gca_feature.Feature]:
        return self._UpdateFeature(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def update_featurestore(
        self,
    ) -> Callable[
        [featurestore_service.UpdateFeaturestoreRequest], operations_pb2.Operation
    ]:
        return self._UpdateFeaturestore(self._session, self._host, self._interceptor)  # type: ignore

    @property
    def get_location(self):
        return self._GetLocation(self._session, self._host, self._interceptor)  # type: ignore

    class _GetLocation(
        _BaseFeaturestoreServiceRestTransport._BaseGetLocation,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.GetLocation")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: locations_pb2.GetLocationRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> locations_pb2.Location:

            r"""Call the get location method over HTTP.

            Args:
                request (locations_pb2.GetLocationRequest):
                    The request object for GetLocation method.
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                locations_pb2.Location: Response from GetLocation method.
            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseGetLocation._get_http_options()
            )
            request, metadata = await self._interceptor.pre_get_location(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseGetLocation._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseGetLocation._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = (
                await AsyncFeaturestoreServiceRestTransport._GetLocation._get_response(
                    self._host,
                    metadata,
                    query_params,
                    self._session,
                    timeout,
                    transcoded_request,
                )
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            content = await response.read()
            resp = locations_pb2.Location()
            resp = json_format.Parse(content, resp)
            resp = await self._interceptor.post_get_location(resp)
            return resp

    @property
    def list_locations(self):
        return self._ListLocations(self._session, self._host, self._interceptor)  # type: ignore

    class _ListLocations(
        _BaseFeaturestoreServiceRestTransport._BaseListLocations,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.ListLocations")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: locations_pb2.ListLocationsRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> locations_pb2.ListLocationsResponse:

            r"""Call the list locations method over HTTP.

            Args:
                request (locations_pb2.ListLocationsRequest):
                    The request object for ListLocations method.
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                locations_pb2.ListLocationsResponse: Response from ListLocations method.
            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseListLocations._get_http_options()
            )
            request, metadata = await self._interceptor.pre_list_locations(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseListLocations._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseListLocations._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._ListLocations._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            content = await response.read()
            resp = locations_pb2.ListLocationsResponse()
            resp = json_format.Parse(content, resp)
            resp = await self._interceptor.post_list_locations(resp)
            return resp

    @property
    def get_iam_policy(self):
        return self._GetIamPolicy(self._session, self._host, self._interceptor)  # type: ignore

    class _GetIamPolicy(
        _BaseFeaturestoreServiceRestTransport._BaseGetIamPolicy,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.GetIamPolicy")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: iam_policy_pb2.GetIamPolicyRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> policy_pb2.Policy:

            r"""Call the get iam policy method over HTTP.

            Args:
                request (iam_policy_pb2.GetIamPolicyRequest):
                    The request object for GetIamPolicy method.
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                policy_pb2.Policy: Response from GetIamPolicy method.
            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseGetIamPolicy._get_http_options()
            )
            request, metadata = await self._interceptor.pre_get_iam_policy(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseGetIamPolicy._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseGetIamPolicy._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = (
                await AsyncFeaturestoreServiceRestTransport._GetIamPolicy._get_response(
                    self._host,
                    metadata,
                    query_params,
                    self._session,
                    timeout,
                    transcoded_request,
                )
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            content = await response.read()
            resp = policy_pb2.Policy()
            resp = json_format.Parse(content, resp)
            resp = await self._interceptor.post_get_iam_policy(resp)
            return resp

    @property
    def set_iam_policy(self):
        return self._SetIamPolicy(self._session, self._host, self._interceptor)  # type: ignore

    class _SetIamPolicy(
        _BaseFeaturestoreServiceRestTransport._BaseSetIamPolicy,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.SetIamPolicy")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
                data=body,
            )
            return response

        async def __call__(
            self,
            request: iam_policy_pb2.SetIamPolicyRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> policy_pb2.Policy:

            r"""Call the set iam policy method over HTTP.

            Args:
                request (iam_policy_pb2.SetIamPolicyRequest):
                    The request object for SetIamPolicy method.
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                policy_pb2.Policy: Response from SetIamPolicy method.
            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseSetIamPolicy._get_http_options()
            )
            request, metadata = await self._interceptor.pre_set_iam_policy(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseSetIamPolicy._get_transcoded_request(
                http_options, request
            )

            body = _BaseFeaturestoreServiceRestTransport._BaseSetIamPolicy._get_request_body_json(
                transcoded_request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseSetIamPolicy._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = (
                await AsyncFeaturestoreServiceRestTransport._SetIamPolicy._get_response(
                    self._host,
                    metadata,
                    query_params,
                    self._session,
                    timeout,
                    transcoded_request,
                    body,
                )
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            content = await response.read()
            resp = policy_pb2.Policy()
            resp = json_format.Parse(content, resp)
            resp = await self._interceptor.post_set_iam_policy(resp)
            return resp

    @property
    def test_iam_permissions(self):
        return self._TestIamPermissions(self._session, self._host, self._interceptor)  # type: ignore

    class _TestIamPermissions(
        _BaseFeaturestoreServiceRestTransport._BaseTestIamPermissions,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.TestIamPermissions")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: iam_policy_pb2.TestIamPermissionsRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> iam_policy_pb2.TestIamPermissionsResponse:

            r"""Call the test iam permissions method over HTTP.

            Args:
                request (iam_policy_pb2.TestIamPermissionsRequest):
                    The request object for TestIamPermissions method.
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                iam_policy_pb2.TestIamPermissionsResponse: Response from TestIamPermissions method.
            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseTestIamPermissions._get_http_options()
            )
            request, metadata = await self._interceptor.pre_test_iam_permissions(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseTestIamPermissions._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseTestIamPermissions._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._TestIamPermissions._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            content = await response.read()
            resp = iam_policy_pb2.TestIamPermissionsResponse()
            resp = json_format.Parse(content, resp)
            resp = await self._interceptor.post_test_iam_permissions(resp)
            return resp

    @property
    def cancel_operation(self):
        return self._CancelOperation(self._session, self._host, self._interceptor)  # type: ignore

    class _CancelOperation(
        _BaseFeaturestoreServiceRestTransport._BaseCancelOperation,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.CancelOperation")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: operations_pb2.CancelOperationRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> None:

            r"""Call the cancel operation method over HTTP.

            Args:
                request (operations_pb2.CancelOperationRequest):
                    The request object for CancelOperation method.
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.
            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseCancelOperation._get_http_options()
            )
            request, metadata = await self._interceptor.pre_cancel_operation(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseCancelOperation._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseCancelOperation._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._CancelOperation._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            return await self._interceptor.post_cancel_operation(None)

    @property
    def delete_operation(self):
        return self._DeleteOperation(self._session, self._host, self._interceptor)  # type: ignore

    class _DeleteOperation(
        _BaseFeaturestoreServiceRestTransport._BaseDeleteOperation,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.DeleteOperation")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: operations_pb2.DeleteOperationRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> None:

            r"""Call the delete operation method over HTTP.

            Args:
                request (operations_pb2.DeleteOperationRequest):
                    The request object for DeleteOperation method.
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.
            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseDeleteOperation._get_http_options()
            )
            request, metadata = await self._interceptor.pre_delete_operation(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseDeleteOperation._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseDeleteOperation._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._DeleteOperation._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            return await self._interceptor.post_delete_operation(None)

    @property
    def get_operation(self):
        return self._GetOperation(self._session, self._host, self._interceptor)  # type: ignore

    class _GetOperation(
        _BaseFeaturestoreServiceRestTransport._BaseGetOperation,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.GetOperation")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: operations_pb2.GetOperationRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> operations_pb2.Operation:

            r"""Call the get operation method over HTTP.

            Args:
                request (operations_pb2.GetOperationRequest):
                    The request object for GetOperation method.
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                operations_pb2.Operation: Response from GetOperation method.
            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseGetOperation._get_http_options()
            )
            request, metadata = await self._interceptor.pre_get_operation(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseGetOperation._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseGetOperation._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = (
                await AsyncFeaturestoreServiceRestTransport._GetOperation._get_response(
                    self._host,
                    metadata,
                    query_params,
                    self._session,
                    timeout,
                    transcoded_request,
                )
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            content = await response.read()
            resp = operations_pb2.Operation()
            resp = json_format.Parse(content, resp)
            resp = await self._interceptor.post_get_operation(resp)
            return resp

    @property
    def list_operations(self):
        return self._ListOperations(self._session, self._host, self._interceptor)  # type: ignore

    class _ListOperations(
        _BaseFeaturestoreServiceRestTransport._BaseListOperations,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.ListOperations")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: operations_pb2.ListOperationsRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> operations_pb2.ListOperationsResponse:

            r"""Call the list operations method over HTTP.

            Args:
                request (operations_pb2.ListOperationsRequest):
                    The request object for ListOperations method.
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                operations_pb2.ListOperationsResponse: Response from ListOperations method.
            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseListOperations._get_http_options()
            )
            request, metadata = await self._interceptor.pre_list_operations(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseListOperations._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseListOperations._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._ListOperations._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            content = await response.read()
            resp = operations_pb2.ListOperationsResponse()
            resp = json_format.Parse(content, resp)
            resp = await self._interceptor.post_list_operations(resp)
            return resp

    @property
    def wait_operation(self):
        return self._WaitOperation(self._session, self._host, self._interceptor)  # type: ignore

    class _WaitOperation(
        _BaseFeaturestoreServiceRestTransport._BaseWaitOperation,
        AsyncFeaturestoreServiceRestStub,
    ):
        def __hash__(self):
            return hash("AsyncFeaturestoreServiceRestTransport.WaitOperation")

        @staticmethod
        async def _get_response(
            host,
            metadata,
            query_params,
            session,
            timeout,
            transcoded_request,
            body=None,
        ):

            uri = transcoded_request["uri"]
            method = transcoded_request["method"]
            headers = dict(metadata)
            headers["Content-Type"] = "application/json"
            response = await getattr(session, method)(
                "{host}{uri}".format(host=host, uri=uri),
                timeout=timeout,
                headers=headers,
                params=rest_helpers.flatten_query_params(query_params, strict=True),
            )
            return response

        async def __call__(
            self,
            request: operations_pb2.WaitOperationRequest,
            *,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: Optional[float] = None,
            metadata: Sequence[Tuple[str, str]] = (),
        ) -> operations_pb2.Operation:

            r"""Call the wait operation method over HTTP.

            Args:
                request (operations_pb2.WaitOperationRequest):
                    The request object for WaitOperation method.
                retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                    should be retried.
                timeout (float): The timeout for this request.
                metadata (Sequence[Tuple[str, str]]): Strings which should be
                    sent along with the request as metadata.

            Returns:
                operations_pb2.Operation: Response from WaitOperation method.
            """

            http_options = (
                _BaseFeaturestoreServiceRestTransport._BaseWaitOperation._get_http_options()
            )
            request, metadata = await self._interceptor.pre_wait_operation(
                request, metadata
            )
            transcoded_request = _BaseFeaturestoreServiceRestTransport._BaseWaitOperation._get_transcoded_request(
                http_options, request
            )

            # Jsonify the query params
            query_params = _BaseFeaturestoreServiceRestTransport._BaseWaitOperation._get_query_params_json(
                transcoded_request
            )

            # Send the request
            response = await AsyncFeaturestoreServiceRestTransport._WaitOperation._get_response(
                self._host,
                metadata,
                query_params,
                self._session,
                timeout,
                transcoded_request,
            )

            # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception
            # subclass.
            if response.status_code >= 400:
                content = await response.read()
                payload = json.loads(content.decode("utf-8"))
                request_url = "{host}{uri}".format(
                    host=self._host, uri=transcoded_request["uri"]
                )
                method = transcoded_request["method"]
                raise core_exceptions.format_http_response_error(response, method, request_url, payload)  # type: ignore

            content = await response.read()
            resp = operations_pb2.Operation()
            resp = json_format.Parse(content, resp)
            resp = await self._interceptor.post_wait_operation(resp)
            return resp

    @property
    def kind(self) -> str:
        return "rest_asyncio"

    async def close(self):
        await self._session.close()
