# -*- coding: utf-8 -*-
# Copyright 2025 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.
#
from collections import OrderedDict
from http import HTTPStatus
import json
import logging as std_logging
import os
import re
from typing import (
    Dict,
    Callable,
    Mapping,
    MutableMapping,
    MutableSequence,
    Optional,
    Sequence,
    Tuple,
    Type,
    Union,
    cast,
)
import warnings

from google.cloud.aiplatform_v1 import gapic_version as package_version

from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as core_exceptions
from google.api_core import gapic_v1
from google.api_core import retry as retries
from google.auth import credentials as ga_credentials  # type: ignore
from google.auth.transport import mtls  # type: ignore
from google.auth.transport.grpc import SslCredentials  # type: ignore
from google.auth.exceptions import MutualTLSChannelError  # type: ignore
from google.oauth2 import service_account  # type: ignore
import google.protobuf

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

try:
    from google.api_core import client_logging  # type: ignore

    CLIENT_LOGGING_SUPPORTED = True  # pragma: NO COVER
except ImportError:  # pragma: NO COVER
    CLIENT_LOGGING_SUPPORTED = False

_LOGGER = std_logging.getLogger(__name__)

from google.api_core import operation as gac_operation  # type: ignore
from google.api_core import operation_async  # type: ignore
from google.cloud.aiplatform_v1.services.schedule_service import pagers
from google.cloud.aiplatform_v1.types import notebook_service
from google.cloud.aiplatform_v1.types import operation as gca_operation
from google.cloud.aiplatform_v1.types import pipeline_service
from google.cloud.aiplatform_v1.types import schedule
from google.cloud.aiplatform_v1.types import schedule as gca_schedule
from google.cloud.aiplatform_v1.types import schedule_service
from google.cloud.location import locations_pb2  # type: ignore
from google.iam.v1 import iam_policy_pb2  # type: ignore
from google.iam.v1 import policy_pb2  # type: ignore
from google.longrunning import operations_pb2  # type: ignore
from google.protobuf import empty_pb2  # type: ignore
from google.protobuf import field_mask_pb2  # type: ignore
from google.protobuf import timestamp_pb2  # type: ignore
from .transports.base import ScheduleServiceTransport, DEFAULT_CLIENT_INFO
from .transports.grpc import ScheduleServiceGrpcTransport
from .transports.grpc_asyncio import ScheduleServiceGrpcAsyncIOTransport
from .transports.rest import ScheduleServiceRestTransport

try:
    from .transports.rest_asyncio import AsyncScheduleServiceRestTransport

    HAS_ASYNC_REST_DEPENDENCIES = True
except ImportError as e:  # pragma: NO COVER
    HAS_ASYNC_REST_DEPENDENCIES = False
    ASYNC_REST_EXCEPTION = e


class ScheduleServiceClientMeta(type):
    """Metaclass for the ScheduleService client.

    This provides class-level methods for building and retrieving
    support objects (e.g. transport) without polluting the client instance
    objects.
    """

    _transport_registry = (
        OrderedDict()
    )  # type: Dict[str, Type[ScheduleServiceTransport]]
    _transport_registry["grpc"] = ScheduleServiceGrpcTransport
    _transport_registry["grpc_asyncio"] = ScheduleServiceGrpcAsyncIOTransport
    _transport_registry["rest"] = ScheduleServiceRestTransport
    if HAS_ASYNC_REST_DEPENDENCIES:  # pragma: NO COVER
        _transport_registry["rest_asyncio"] = AsyncScheduleServiceRestTransport

    def get_transport_class(
        cls,
        label: Optional[str] = None,
    ) -> Type[ScheduleServiceTransport]:
        """Returns an appropriate transport class.

        Args:
            label: The name of the desired transport. If none is
                provided, then the first transport in the registry is used.

        Returns:
            The transport class to use.
        """
        # If a specific transport is requested, return that one.
        if (
            label == "rest_asyncio" and not HAS_ASYNC_REST_DEPENDENCIES
        ):  # pragma: NO COVER
            raise ASYNC_REST_EXCEPTION
        if label:
            return cls._transport_registry[label]

        # No transport is requested; return the default (that is, the first one
        # in the dictionary).
        return next(iter(cls._transport_registry.values()))


class ScheduleServiceClient(metaclass=ScheduleServiceClientMeta):
    """A service for creating and managing Vertex AI's Schedule
    resources to periodically launch shceudled runs to make API
    calls.
    """

    @staticmethod
    def _get_default_mtls_endpoint(api_endpoint):
        """Converts api endpoint to mTLS endpoint.

        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
        Args:
            api_endpoint (Optional[str]): the api endpoint to convert.
        Returns:
            str: converted mTLS api endpoint.
        """
        if not api_endpoint:
            return api_endpoint

        mtls_endpoint_re = re.compile(
            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
        )

        m = mtls_endpoint_re.match(api_endpoint)
        name, mtls, sandbox, googledomain = m.groups()
        if mtls or not googledomain:
            return api_endpoint

        if sandbox:
            return api_endpoint.replace(
                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
            )

        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")

    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
    DEFAULT_ENDPOINT = "aiplatform.googleapis.com"
    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
        DEFAULT_ENDPOINT
    )

    _DEFAULT_ENDPOINT_TEMPLATE = "aiplatform.{UNIVERSE_DOMAIN}"
    _DEFAULT_UNIVERSE = "googleapis.com"

    @staticmethod
    def _use_client_cert_effective():
        """Returns whether client certificate should be used for mTLS if the
        google-auth version supports should_use_client_cert automatic mTLS enablement.

        Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var.

        Returns:
            bool: whether client certificate should be used for mTLS
        Raises:
            ValueError: (If using a version of google-auth without should_use_client_cert and
            GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.)
        """
        # check if google-auth version supports should_use_client_cert for automatic mTLS enablement
        if hasattr(mtls, "should_use_client_cert"):  # pragma: NO COVER
            return mtls.should_use_client_cert()
        else:  # pragma: NO COVER
            # if unsupported, fallback to reading from env var
            use_client_cert_str = os.getenv(
                "GOOGLE_API_USE_CLIENT_CERTIFICATE", "false"
            ).lower()
            if use_client_cert_str not in ("true", "false"):
                raise ValueError(
                    "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be"
                    " either `true` or `false`"
                )
            return use_client_cert_str == "true"

    @classmethod
    def from_service_account_info(cls, info: dict, *args, **kwargs):
        """Creates an instance of this client using the provided credentials
            info.

        Args:
            info (dict): The service account private key info.
            args: Additional arguments to pass to the constructor.
            kwargs: Additional arguments to pass to the constructor.

        Returns:
            ScheduleServiceClient: The constructed client.
        """
        credentials = service_account.Credentials.from_service_account_info(info)
        kwargs["credentials"] = credentials
        return cls(*args, **kwargs)

    @classmethod
    def from_service_account_file(cls, filename: str, *args, **kwargs):
        """Creates an instance of this client using the provided credentials
            file.

        Args:
            filename (str): The path to the service account private key json
                file.
            args: Additional arguments to pass to the constructor.
            kwargs: Additional arguments to pass to the constructor.

        Returns:
            ScheduleServiceClient: The constructed client.
        """
        credentials = service_account.Credentials.from_service_account_file(filename)
        kwargs["credentials"] = credentials
        return cls(*args, **kwargs)

    from_service_account_json = from_service_account_file

    @property
    def transport(self) -> ScheduleServiceTransport:
        """Returns the transport used by the client instance.

        Returns:
            ScheduleServiceTransport: The transport used by the client
                instance.
        """
        return self._transport

    @staticmethod
    def artifact_path(
        project: str,
        location: str,
        metadata_store: str,
        artifact: str,
    ) -> str:
        """Returns a fully-qualified artifact string."""
        return "projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}".format(
            project=project,
            location=location,
            metadata_store=metadata_store,
            artifact=artifact,
        )

    @staticmethod
    def parse_artifact_path(path: str) -> Dict[str, str]:
        """Parses a artifact path into its component segments."""
        m = re.match(
            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/metadataStores/(?P<metadata_store>.+?)/artifacts/(?P<artifact>.+?)$",
            path,
        )
        return m.groupdict() if m else {}

    @staticmethod
    def context_path(
        project: str,
        location: str,
        metadata_store: str,
        context: str,
    ) -> str:
        """Returns a fully-qualified context string."""
        return "projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}".format(
            project=project,
            location=location,
            metadata_store=metadata_store,
            context=context,
        )

    @staticmethod
    def parse_context_path(path: str) -> Dict[str, str]:
        """Parses a context path into its component segments."""
        m = re.match(
            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/metadataStores/(?P<metadata_store>.+?)/contexts/(?P<context>.+?)$",
            path,
        )
        return m.groupdict() if m else {}

    @staticmethod
    def custom_job_path(
        project: str,
        location: str,
        custom_job: str,
    ) -> str:
        """Returns a fully-qualified custom_job string."""
        return "projects/{project}/locations/{location}/customJobs/{custom_job}".format(
            project=project,
            location=location,
            custom_job=custom_job,
        )

    @staticmethod
    def parse_custom_job_path(path: str) -> Dict[str, str]:
        """Parses a custom_job path into its component segments."""
        m = re.match(
            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/customJobs/(?P<custom_job>.+?)$",
            path,
        )
        return m.groupdict() if m else {}

    @staticmethod
    def execution_path(
        project: str,
        location: str,
        metadata_store: str,
        execution: str,
    ) -> str:
        """Returns a fully-qualified execution string."""
        return "projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}".format(
            project=project,
            location=location,
            metadata_store=metadata_store,
            execution=execution,
        )

    @staticmethod
    def parse_execution_path(path: str) -> Dict[str, str]:
        """Parses a execution path into its component segments."""
        m = re.match(
            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/metadataStores/(?P<metadata_store>.+?)/executions/(?P<execution>.+?)$",
            path,
        )
        return m.groupdict() if m else {}

    @staticmethod
    def network_path(
        project: str,
        network: str,
    ) -> str:
        """Returns a fully-qualified network string."""
        return "projects/{project}/global/networks/{network}".format(
            project=project,
            network=network,
        )

    @staticmethod
    def parse_network_path(path: str) -> Dict[str, str]:
        """Parses a network path into its component segments."""
        m = re.match(
            r"^projects/(?P<project>.+?)/global/networks/(?P<network>.+?)$", path
        )
        return m.groupdict() if m else {}

    @staticmethod
    def network_attachment_path(
        project: str,
        region: str,
        networkattachment: str,
    ) -> str:
        """Returns a fully-qualified network_attachment string."""
        return "projects/{project}/regions/{region}/networkAttachments/{networkattachment}".format(
            project=project,
            region=region,
            networkattachment=networkattachment,
        )

    @staticmethod
    def parse_network_attachment_path(path: str) -> Dict[str, str]:
        """Parses a network_attachment path into its component segments."""
        m = re.match(
            r"^projects/(?P<project>.+?)/regions/(?P<region>.+?)/networkAttachments/(?P<networkattachment>.+?)$",
            path,
        )
        return m.groupdict() if m else {}

    @staticmethod
    def notebook_execution_job_path(
        project: str,
        location: str,
        notebook_execution_job: str,
    ) -> str:
        """Returns a fully-qualified notebook_execution_job string."""
        return "projects/{project}/locations/{location}/notebookExecutionJobs/{notebook_execution_job}".format(
            project=project,
            location=location,
            notebook_execution_job=notebook_execution_job,
        )

    @staticmethod
    def parse_notebook_execution_job_path(path: str) -> Dict[str, str]:
        """Parses a notebook_execution_job path into its component segments."""
        m = re.match(
            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/notebookExecutionJobs/(?P<notebook_execution_job>.+?)$",
            path,
        )
        return m.groupdict() if m else {}

    @staticmethod
    def notebook_runtime_template_path(
        project: str,
        location: str,
        notebook_runtime_template: str,
    ) -> str:
        """Returns a fully-qualified notebook_runtime_template string."""
        return "projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}".format(
            project=project,
            location=location,
            notebook_runtime_template=notebook_runtime_template,
        )

    @staticmethod
    def parse_notebook_runtime_template_path(path: str) -> Dict[str, str]:
        """Parses a notebook_runtime_template path into its component segments."""
        m = re.match(
            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/notebookRuntimeTemplates/(?P<notebook_runtime_template>.+?)$",
            path,
        )
        return m.groupdict() if m else {}

    @staticmethod
    def pipeline_job_path(
        project: str,
        location: str,
        pipeline_job: str,
    ) -> str:
        """Returns a fully-qualified pipeline_job string."""
        return "projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}".format(
            project=project,
            location=location,
            pipeline_job=pipeline_job,
        )

    @staticmethod
    def parse_pipeline_job_path(path: str) -> Dict[str, str]:
        """Parses a pipeline_job path into its component segments."""
        m = re.match(
            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/pipelineJobs/(?P<pipeline_job>.+?)$",
            path,
        )
        return m.groupdict() if m else {}

    @staticmethod
    def reservation_path(
        project_id_or_number: str,
        zone: str,
        reservation_name: str,
    ) -> str:
        """Returns a fully-qualified reservation string."""
        return "projects/{project_id_or_number}/zones/{zone}/reservations/{reservation_name}".format(
            project_id_or_number=project_id_or_number,
            zone=zone,
            reservation_name=reservation_name,
        )

    @staticmethod
    def parse_reservation_path(path: str) -> Dict[str, str]:
        """Parses a reservation path into its component segments."""
        m = re.match(
            r"^projects/(?P<project_id_or_number>.+?)/zones/(?P<zone>.+?)/reservations/(?P<reservation_name>.+?)$",
            path,
        )
        return m.groupdict() if m else {}

    @staticmethod
    def schedule_path(
        project: str,
        location: str,
        schedule: str,
    ) -> str:
        """Returns a fully-qualified schedule string."""
        return "projects/{project}/locations/{location}/schedules/{schedule}".format(
            project=project,
            location=location,
            schedule=schedule,
        )

    @staticmethod
    def parse_schedule_path(path: str) -> Dict[str, str]:
        """Parses a schedule path into its component segments."""
        m = re.match(
            r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/schedules/(?P<schedule>.+?)$",
            path,
        )
        return m.groupdict() if m else {}

    @staticmethod
    def subnetwork_path(
        project: str,
        region: str,
        subnetwork: str,
    ) -> str:
        """Returns a fully-qualified subnetwork string."""
        return "projects/{project}/regions/{region}/subnetworks/{subnetwork}".format(
            project=project,
            region=region,
            subnetwork=subnetwork,
        )

    @staticmethod
    def parse_subnetwork_path(path: str) -> Dict[str, str]:
        """Parses a subnetwork path into its component segments."""
        m = re.match(
            r"^projects/(?P<project>.+?)/regions/(?P<region>.+?)/subnetworks/(?P<subnetwork>.+?)$",
            path,
        )
        return m.groupdict() if m else {}

    @staticmethod
    def common_billing_account_path(
        billing_account: str,
    ) -> str:
        """Returns a fully-qualified billing_account string."""
        return "billingAccounts/{billing_account}".format(
            billing_account=billing_account,
        )

    @staticmethod
    def parse_common_billing_account_path(path: str) -> Dict[str, str]:
        """Parse a billing_account path into its component segments."""
        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
        return m.groupdict() if m else {}

    @staticmethod
    def common_folder_path(
        folder: str,
    ) -> str:
        """Returns a fully-qualified folder string."""
        return "folders/{folder}".format(
            folder=folder,
        )

    @staticmethod
    def parse_common_folder_path(path: str) -> Dict[str, str]:
        """Parse a folder path into its component segments."""
        m = re.match(r"^folders/(?P<folder>.+?)$", path)
        return m.groupdict() if m else {}

    @staticmethod
    def common_organization_path(
        organization: str,
    ) -> str:
        """Returns a fully-qualified organization string."""
        return "organizations/{organization}".format(
            organization=organization,
        )

    @staticmethod
    def parse_common_organization_path(path: str) -> Dict[str, str]:
        """Parse a organization path into its component segments."""
        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
        return m.groupdict() if m else {}

    @staticmethod
    def common_project_path(
        project: str,
    ) -> str:
        """Returns a fully-qualified project string."""
        return "projects/{project}".format(
            project=project,
        )

    @staticmethod
    def parse_common_project_path(path: str) -> Dict[str, str]:
        """Parse a project path into its component segments."""
        m = re.match(r"^projects/(?P<project>.+?)$", path)
        return m.groupdict() if m else {}

    @staticmethod
    def common_location_path(
        project: str,
        location: str,
    ) -> str:
        """Returns a fully-qualified location string."""
        return "projects/{project}/locations/{location}".format(
            project=project,
            location=location,
        )

    @staticmethod
    def parse_common_location_path(path: str) -> Dict[str, str]:
        """Parse a location path into its component segments."""
        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
        return m.groupdict() if m else {}

    @classmethod
    def get_mtls_endpoint_and_cert_source(
        cls, client_options: Optional[client_options_lib.ClientOptions] = None
    ):
        """Deprecated. Return the API endpoint and client cert source for mutual TLS.

        The client cert source is determined in the following order:
        (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
        client cert source is None.
        (2) if `client_options.client_cert_source` is provided, use the provided one; if the
        default client cert source exists, use the default one; otherwise the client cert
        source is None.

        The API endpoint is determined in the following order:
        (1) if `client_options.api_endpoint` if provided, use the provided one.
        (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
        default mTLS endpoint; if the environment variable is "never", use the default API
        endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
        use the default API endpoint.

        More details can be found at https://google.aip.dev/auth/4114.

        Args:
            client_options (google.api_core.client_options.ClientOptions): Custom options for the
                client. Only the `api_endpoint` and `client_cert_source` properties may be used
                in this method.

        Returns:
            Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
                client cert source to use.

        Raises:
            google.auth.exceptions.MutualTLSChannelError: If any errors happen.
        """

        warnings.warn(
            "get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
            DeprecationWarning,
        )
        if client_options is None:
            client_options = client_options_lib.ClientOptions()
        use_client_cert = ScheduleServiceClient._use_client_cert_effective()
        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
        if use_mtls_endpoint not in ("auto", "never", "always"):
            raise MutualTLSChannelError(
                "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
            )

        # Figure out the client cert source to use.
        client_cert_source = None
        if use_client_cert:
            if client_options.client_cert_source:
                client_cert_source = client_options.client_cert_source
            elif mtls.has_default_client_cert_source():
                client_cert_source = mtls.default_client_cert_source()

        # Figure out which api endpoint to use.
        if client_options.api_endpoint is not None:
            api_endpoint = client_options.api_endpoint
        elif use_mtls_endpoint == "always" or (
            use_mtls_endpoint == "auto" and client_cert_source
        ):
            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
        else:
            api_endpoint = cls.DEFAULT_ENDPOINT

        return api_endpoint, client_cert_source

    @staticmethod
    def _read_environment_variables():
        """Returns the environment variables used by the client.

        Returns:
            Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
            GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.

        Raises:
            ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
                any of ["true", "false"].
            google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
                is not any of ["auto", "never", "always"].
        """
        use_client_cert = ScheduleServiceClient._use_client_cert_effective()
        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
        universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
        if use_mtls_endpoint not in ("auto", "never", "always"):
            raise MutualTLSChannelError(
                "Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
            )
        return use_client_cert, use_mtls_endpoint, universe_domain_env

    @staticmethod
    def _get_client_cert_source(provided_cert_source, use_cert_flag):
        """Return the client cert source to be used by the client.

        Args:
            provided_cert_source (bytes): The client certificate source provided.
            use_cert_flag (bool): A flag indicating whether to use the client certificate.

        Returns:
            bytes or None: The client cert source to be used by the client.
        """
        client_cert_source = None
        if use_cert_flag:
            if provided_cert_source:
                client_cert_source = provided_cert_source
            elif mtls.has_default_client_cert_source():
                client_cert_source = mtls.default_client_cert_source()
        return client_cert_source

    @staticmethod
    def _get_api_endpoint(
        api_override, client_cert_source, universe_domain, use_mtls_endpoint
    ):
        """Return the API endpoint used by the client.

        Args:
            api_override (str): The API endpoint override. If specified, this is always
                the return value of this function and the other arguments are not used.
            client_cert_source (bytes): The client certificate source used by the client.
            universe_domain (str): The universe domain used by the client.
            use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
                Possible values are "always", "auto", or "never".

        Returns:
            str: The API endpoint to be used by the client.
        """
        if api_override is not None:
            api_endpoint = api_override
        elif use_mtls_endpoint == "always" or (
            use_mtls_endpoint == "auto" and client_cert_source
        ):
            _default_universe = ScheduleServiceClient._DEFAULT_UNIVERSE
            if universe_domain != _default_universe:
                raise MutualTLSChannelError(
                    f"mTLS is not supported in any universe other than {_default_universe}."
                )
            api_endpoint = ScheduleServiceClient.DEFAULT_MTLS_ENDPOINT
        else:
            api_endpoint = ScheduleServiceClient._DEFAULT_ENDPOINT_TEMPLATE.format(
                UNIVERSE_DOMAIN=universe_domain
            )
        return api_endpoint

    @staticmethod
    def _get_universe_domain(
        client_universe_domain: Optional[str], universe_domain_env: Optional[str]
    ) -> str:
        """Return the universe domain used by the client.

        Args:
            client_universe_domain (Optional[str]): The universe domain configured via the client options.
            universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.

        Returns:
            str: The universe domain to be used by the client.

        Raises:
            ValueError: If the universe domain is an empty string.
        """
        universe_domain = ScheduleServiceClient._DEFAULT_UNIVERSE
        if client_universe_domain is not None:
            universe_domain = client_universe_domain
        elif universe_domain_env is not None:
            universe_domain = universe_domain_env
        if len(universe_domain.strip()) == 0:
            raise ValueError("Universe Domain cannot be an empty string.")
        return universe_domain

    def _validate_universe_domain(self):
        """Validates client's and credentials' universe domains are consistent.

        Returns:
            bool: True iff the configured universe domain is valid.

        Raises:
            ValueError: If the configured universe domain is not valid.
        """

        # NOTE (b/349488459): universe validation is disabled until further notice.
        return True

    def _add_cred_info_for_auth_errors(
        self, error: core_exceptions.GoogleAPICallError
    ) -> None:
        """Adds credential info string to error details for 401/403/404 errors.

        Args:
            error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info.
        """
        if error.code not in [
            HTTPStatus.UNAUTHORIZED,
            HTTPStatus.FORBIDDEN,
            HTTPStatus.NOT_FOUND,
        ]:
            return

        cred = self._transport._credentials

        # get_cred_info is only available in google-auth>=2.35.0
        if not hasattr(cred, "get_cred_info"):
            return

        # ignore the type check since pypy test fails when get_cred_info
        # is not available
        cred_info = cred.get_cred_info()  # type: ignore
        if cred_info and hasattr(error._details, "append"):
            error._details.append(json.dumps(cred_info))

    @property
    def api_endpoint(self):
        """Return the API endpoint used by the client instance.

        Returns:
            str: The API endpoint used by the client instance.
        """
        return self._api_endpoint

    @property
    def universe_domain(self) -> str:
        """Return the universe domain used by the client instance.

        Returns:
            str: The universe domain used by the client instance.
        """
        return self._universe_domain

    def __init__(
        self,
        *,
        credentials: Optional[ga_credentials.Credentials] = None,
        transport: Optional[
            Union[
                str, ScheduleServiceTransport, Callable[..., ScheduleServiceTransport]
            ]
        ] = None,
        client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
    ) -> None:
        """Instantiates the schedule service client.

        Args:
            credentials (Optional[google.auth.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.
            transport (Optional[Union[str,ScheduleServiceTransport,Callable[..., ScheduleServiceTransport]]]):
                The transport to use, or a Callable that constructs and returns a new transport.
                If a Callable is given, it will be called with the same set of initialization
                arguments as used in the ScheduleServiceTransport constructor.
                If set to None, a transport is chosen automatically.
            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
                Custom options for the client.

                1. The ``api_endpoint`` property can be used to override the
                default endpoint provided by the client when ``transport`` is
                not explicitly provided. Only if this property is not set and
                ``transport`` was not explicitly provided, the endpoint is
                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
                variable, which have one of the following values:
                "always" (always use the default mTLS endpoint), "never" (always
                use the default regular endpoint) and "auto" (auto-switch to the
                default mTLS endpoint if client certificate is present; this is
                the default value).

                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
                is "true", then the ``client_cert_source`` property can be used
                to provide a client certificate for mTLS transport. If
                not provided, the default SSL client certificate will be used if
                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
                set, no client certificate will be used.

                3. The ``universe_domain`` property can be used to override the
                default "googleapis.com" universe. Note that the ``api_endpoint``
                property still takes precedence; and ``universe_domain`` is
                currently not supported for mTLS.

            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're developing
                your own client library.

        Raises:
            google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
                creation failed for any reason.
        """
        self._client_options = client_options
        if isinstance(self._client_options, dict):
            self._client_options = client_options_lib.from_dict(self._client_options)
        if self._client_options is None:
            self._client_options = client_options_lib.ClientOptions()
        self._client_options = cast(
            client_options_lib.ClientOptions, self._client_options
        )

        universe_domain_opt = getattr(self._client_options, "universe_domain", None)

        self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = (
            ScheduleServiceClient._read_environment_variables()
        )
        self._client_cert_source = ScheduleServiceClient._get_client_cert_source(
            self._client_options.client_cert_source, self._use_client_cert
        )
        self._universe_domain = ScheduleServiceClient._get_universe_domain(
            universe_domain_opt, self._universe_domain_env
        )
        self._api_endpoint = None  # updated below, depending on `transport`

        # Initialize the universe domain validation.
        self._is_universe_domain_valid = False

        if CLIENT_LOGGING_SUPPORTED:  # pragma: NO COVER
            # Setup logging.
            client_logging.initialize_logging()

        api_key_value = getattr(self._client_options, "api_key", None)
        if api_key_value and credentials:
            raise ValueError(
                "client_options.api_key and credentials are mutually exclusive"
            )

        # Save or instantiate the transport.
        # Ordinarily, we provide the transport, but allowing a custom transport
        # instance provides an extensibility point for unusual situations.
        transport_provided = isinstance(transport, ScheduleServiceTransport)
        if transport_provided:
            # transport is a ScheduleServiceTransport instance.
            if credentials or self._client_options.credentials_file or api_key_value:
                raise ValueError(
                    "When providing a transport instance, "
                    "provide its credentials directly."
                )
            if self._client_options.scopes:
                raise ValueError(
                    "When providing a transport instance, provide its scopes "
                    "directly."
                )
            self._transport = cast(ScheduleServiceTransport, transport)
            self._api_endpoint = self._transport.host

        self._api_endpoint = (
            self._api_endpoint
            or ScheduleServiceClient._get_api_endpoint(
                self._client_options.api_endpoint,
                self._client_cert_source,
                self._universe_domain,
                self._use_mtls_endpoint,
            )
        )

        if not transport_provided:
            transport_init: Union[
                Type[ScheduleServiceTransport], Callable[..., ScheduleServiceTransport]
            ] = (
                ScheduleServiceClient.get_transport_class(transport)
                if isinstance(transport, str) or transport is None
                else cast(Callable[..., ScheduleServiceTransport], transport)
            )

            if "rest_asyncio" in str(transport_init):
                unsupported_params = {
                    "google.api_core.client_options.ClientOptions.credentials_file": self._client_options.credentials_file,
                    "google.api_core.client_options.ClientOptions.scopes": self._client_options.scopes,
                    "google.api_core.client_options.ClientOptions.quota_project_id": self._client_options.quota_project_id,
                    "google.api_core.client_options.ClientOptions.client_cert_source": self._client_options.client_cert_source,
                    "google.api_core.client_options.ClientOptions.api_audience": self._client_options.api_audience,
                }
                provided_unsupported_params = [
                    name
                    for name, value in unsupported_params.items()
                    if value is not None
                ]
                if provided_unsupported_params:
                    raise core_exceptions.AsyncRestUnsupportedParameterError(  # type: ignore
                        f"The following provided parameters are not supported for `transport=rest_asyncio`: {', '.join(provided_unsupported_params)}"
                    )
                self._transport = transport_init(
                    credentials=credentials,
                    host=self._api_endpoint,
                    client_info=client_info,
                )
                return

            import google.auth._default  # type: ignore

            if api_key_value and hasattr(
                google.auth._default, "get_api_key_credentials"
            ):
                credentials = google.auth._default.get_api_key_credentials(
                    api_key_value
                )

            # initialize with the provided callable or the passed in class
            self._transport = transport_init(
                credentials=credentials,
                credentials_file=self._client_options.credentials_file,
                host=self._api_endpoint,
                scopes=self._client_options.scopes,
                client_cert_source_for_mtls=self._client_cert_source,
                quota_project_id=self._client_options.quota_project_id,
                client_info=client_info,
                always_use_jwt_access=True,
                api_audience=self._client_options.api_audience,
            )

        if "async" not in str(self._transport):
            if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor(
                std_logging.DEBUG
            ):  # pragma: NO COVER
                _LOGGER.debug(
                    "Created client `google.cloud.aiplatform_v1.ScheduleServiceClient`.",
                    extra=(
                        {
                            "serviceName": "google.cloud.aiplatform.v1.ScheduleService",
                            "universeDomain": getattr(
                                self._transport._credentials, "universe_domain", ""
                            ),
                            "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}",
                            "credentialsInfo": getattr(
                                self.transport._credentials,
                                "get_cred_info",
                                lambda: None,
                            )(),
                        }
                        if hasattr(self._transport, "_credentials")
                        else {
                            "serviceName": "google.cloud.aiplatform.v1.ScheduleService",
                            "credentialsType": None,
                        }
                    ),
                )

    def create_schedule(
        self,
        request: Optional[Union[schedule_service.CreateScheduleRequest, dict]] = None,
        *,
        parent: Optional[str] = None,
        schedule: Optional[gca_schedule.Schedule] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> gca_schedule.Schedule:
        r"""Creates a Schedule.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import aiplatform_v1

            def sample_create_schedule():
                # Create a client
                client = aiplatform_v1.ScheduleServiceClient()

                # Initialize request argument(s)
                schedule = aiplatform_v1.Schedule()
                schedule.cron = "cron_value"
                schedule.create_pipeline_job_request.parent = "parent_value"
                schedule.display_name = "display_name_value"
                schedule.max_concurrent_run_count = 2596

                request = aiplatform_v1.CreateScheduleRequest(
                    parent="parent_value",
                    schedule=schedule,
                )

                # Make the request
                response = client.create_schedule(request=request)

                # Handle the response
                print(response)

        Args:
            request (Union[google.cloud.aiplatform_v1.types.CreateScheduleRequest, dict]):
                The request object. Request message for
                [ScheduleService.CreateSchedule][google.cloud.aiplatform.v1.ScheduleService.CreateSchedule].
            parent (str):
                Required. The resource name of the Location to create
                the Schedule in. Format:
                ``projects/{project}/locations/{location}``

                This corresponds to the ``parent`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            schedule (google.cloud.aiplatform_v1.types.Schedule):
                Required. The Schedule to create.
                This corresponds to the ``schedule`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.

        Returns:
            google.cloud.aiplatform_v1.types.Schedule:
                An instance of a Schedule
                periodically schedules runs to make API
                calls based on user specified time
                specification and API request type.

        """
        # Create or coerce a protobuf request object.
        # - Quick check: If we got a request object, we should *not* have
        #   gotten any keyword arguments that map to the request.
        flattened_params = [parent, schedule]
        has_flattened_params = (
            len([param for param in flattened_params if param is not None]) > 0
        )
        if request is not None and has_flattened_params:
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        # - Use the request object if provided (there's no risk of modifying the input as
        #   there are no flattened fields), or create one.
        if not isinstance(request, schedule_service.CreateScheduleRequest):
            request = schedule_service.CreateScheduleRequest(request)
            # If we have keyword arguments corresponding to fields on the
            # request, apply these.
            if parent is not None:
                request.parent = parent
            if schedule is not None:
                request.schedule = schedule

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.create_schedule]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        # Send the request.
        response = rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    def delete_schedule(
        self,
        request: Optional[Union[schedule_service.DeleteScheduleRequest, dict]] = None,
        *,
        name: Optional[str] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> gac_operation.Operation:
        r"""Deletes a Schedule.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import aiplatform_v1

            def sample_delete_schedule():
                # Create a client
                client = aiplatform_v1.ScheduleServiceClient()

                # Initialize request argument(s)
                request = aiplatform_v1.DeleteScheduleRequest(
                    name="name_value",
                )

                # Make the request
                operation = client.delete_schedule(request=request)

                print("Waiting for operation to complete...")

                response = operation.result()

                # Handle the response
                print(response)

        Args:
            request (Union[google.cloud.aiplatform_v1.types.DeleteScheduleRequest, dict]):
                The request object. Request message for
                [ScheduleService.DeleteSchedule][google.cloud.aiplatform.v1.ScheduleService.DeleteSchedule].
            name (str):
                Required. The name of the Schedule resource to be
                deleted. Format:
                ``projects/{project}/locations/{location}/schedules/{schedule}``

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.

        Returns:
            google.api_core.operation.Operation:
                An object representing a long-running operation.

                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
                   empty messages in your APIs. A typical example is to
                   use it as the request or the response type of an API
                   method. For instance:

                      service Foo {
                         rpc Bar(google.protobuf.Empty) returns
                         (google.protobuf.Empty);

                      }

        """
        # Create or coerce a protobuf request object.
        # - Quick check: If we got a request object, we should *not* have
        #   gotten any keyword arguments that map to the request.
        flattened_params = [name]
        has_flattened_params = (
            len([param for param in flattened_params if param is not None]) > 0
        )
        if request is not None and has_flattened_params:
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        # - Use the request object if provided (there's no risk of modifying the input as
        #   there are no flattened fields), or create one.
        if not isinstance(request, schedule_service.DeleteScheduleRequest):
            request = schedule_service.DeleteScheduleRequest(request)
            # If we have keyword arguments corresponding to fields on the
            # request, apply these.
            if name is not None:
                request.name = name

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.delete_schedule]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        # Send the request.
        response = rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Wrap the response in an operation future.
        response = gac_operation.from_gapic(
            response,
            self._transport.operations_client,
            empty_pb2.Empty,
            metadata_type=gca_operation.DeleteOperationMetadata,
        )

        # Done; return the response.
        return response

    def get_schedule(
        self,
        request: Optional[Union[schedule_service.GetScheduleRequest, dict]] = None,
        *,
        name: Optional[str] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> schedule.Schedule:
        r"""Gets a Schedule.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import aiplatform_v1

            def sample_get_schedule():
                # Create a client
                client = aiplatform_v1.ScheduleServiceClient()

                # Initialize request argument(s)
                request = aiplatform_v1.GetScheduleRequest(
                    name="name_value",
                )

                # Make the request
                response = client.get_schedule(request=request)

                # Handle the response
                print(response)

        Args:
            request (Union[google.cloud.aiplatform_v1.types.GetScheduleRequest, dict]):
                The request object. Request message for
                [ScheduleService.GetSchedule][google.cloud.aiplatform.v1.ScheduleService.GetSchedule].
            name (str):
                Required. The name of the Schedule resource. Format:
                ``projects/{project}/locations/{location}/schedules/{schedule}``

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.

        Returns:
            google.cloud.aiplatform_v1.types.Schedule:
                An instance of a Schedule
                periodically schedules runs to make API
                calls based on user specified time
                specification and API request type.

        """
        # Create or coerce a protobuf request object.
        # - Quick check: If we got a request object, we should *not* have
        #   gotten any keyword arguments that map to the request.
        flattened_params = [name]
        has_flattened_params = (
            len([param for param in flattened_params if param is not None]) > 0
        )
        if request is not None and has_flattened_params:
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        # - Use the request object if provided (there's no risk of modifying the input as
        #   there are no flattened fields), or create one.
        if not isinstance(request, schedule_service.GetScheduleRequest):
            request = schedule_service.GetScheduleRequest(request)
            # If we have keyword arguments corresponding to fields on the
            # request, apply these.
            if name is not None:
                request.name = name

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.get_schedule]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        # Send the request.
        response = rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    def list_schedules(
        self,
        request: Optional[Union[schedule_service.ListSchedulesRequest, dict]] = None,
        *,
        parent: Optional[str] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> pagers.ListSchedulesPager:
        r"""Lists Schedules in a Location.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import aiplatform_v1

            def sample_list_schedules():
                # Create a client
                client = aiplatform_v1.ScheduleServiceClient()

                # Initialize request argument(s)
                request = aiplatform_v1.ListSchedulesRequest(
                    parent="parent_value",
                )

                # Make the request
                page_result = client.list_schedules(request=request)

                # Handle the response
                for response in page_result:
                    print(response)

        Args:
            request (Union[google.cloud.aiplatform_v1.types.ListSchedulesRequest, dict]):
                The request object. Request message for
                [ScheduleService.ListSchedules][google.cloud.aiplatform.v1.ScheduleService.ListSchedules].
            parent (str):
                Required. The resource name of the Location to list the
                Schedules from. Format:
                ``projects/{project}/locations/{location}``

                This corresponds to the ``parent`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.

        Returns:
            google.cloud.aiplatform_v1.services.schedule_service.pagers.ListSchedulesPager:
                Response message for
                   [ScheduleService.ListSchedules][google.cloud.aiplatform.v1.ScheduleService.ListSchedules]

                Iterating over this object will yield results and
                resolve additional pages automatically.

        """
        # Create or coerce a protobuf request object.
        # - Quick check: If we got a request object, we should *not* have
        #   gotten any keyword arguments that map to the request.
        flattened_params = [parent]
        has_flattened_params = (
            len([param for param in flattened_params if param is not None]) > 0
        )
        if request is not None and has_flattened_params:
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        # - Use the request object if provided (there's no risk of modifying the input as
        #   there are no flattened fields), or create one.
        if not isinstance(request, schedule_service.ListSchedulesRequest):
            request = schedule_service.ListSchedulesRequest(request)
            # If we have keyword arguments corresponding to fields on the
            # request, apply these.
            if parent is not None:
                request.parent = parent

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.list_schedules]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        # Send the request.
        response = rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # This method is paged; wrap the response in a pager, which provides
        # an `__iter__` convenience method.
        response = pagers.ListSchedulesPager(
            method=rpc,
            request=request,
            response=response,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    def pause_schedule(
        self,
        request: Optional[Union[schedule_service.PauseScheduleRequest, dict]] = None,
        *,
        name: Optional[str] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> None:
        r"""Pauses a Schedule. Will mark
        [Schedule.state][google.cloud.aiplatform.v1.Schedule.state] to
        'PAUSED'. If the schedule is paused, no new runs will be
        created. Already created runs will NOT be paused or canceled.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import aiplatform_v1

            def sample_pause_schedule():
                # Create a client
                client = aiplatform_v1.ScheduleServiceClient()

                # Initialize request argument(s)
                request = aiplatform_v1.PauseScheduleRequest(
                    name="name_value",
                )

                # Make the request
                client.pause_schedule(request=request)

        Args:
            request (Union[google.cloud.aiplatform_v1.types.PauseScheduleRequest, dict]):
                The request object. Request message for
                [ScheduleService.PauseSchedule][google.cloud.aiplatform.v1.ScheduleService.PauseSchedule].
            name (str):
                Required. The name of the Schedule resource to be
                paused. Format:
                ``projects/{project}/locations/{location}/schedules/{schedule}``

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        """
        # Create or coerce a protobuf request object.
        # - Quick check: If we got a request object, we should *not* have
        #   gotten any keyword arguments that map to the request.
        flattened_params = [name]
        has_flattened_params = (
            len([param for param in flattened_params if param is not None]) > 0
        )
        if request is not None and has_flattened_params:
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        # - Use the request object if provided (there's no risk of modifying the input as
        #   there are no flattened fields), or create one.
        if not isinstance(request, schedule_service.PauseScheduleRequest):
            request = schedule_service.PauseScheduleRequest(request)
            # If we have keyword arguments corresponding to fields on the
            # request, apply these.
            if name is not None:
                request.name = name

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.pause_schedule]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        # Send the request.
        rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

    def resume_schedule(
        self,
        request: Optional[Union[schedule_service.ResumeScheduleRequest, dict]] = None,
        *,
        name: Optional[str] = None,
        catch_up: Optional[bool] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> None:
        r"""Resumes a paused Schedule to start scheduling new runs. Will
        mark [Schedule.state][google.cloud.aiplatform.v1.Schedule.state]
        to 'ACTIVE'. Only paused Schedule can be resumed.

        When the Schedule is resumed, new runs will be scheduled
        starting from the next execution time after the current time
        based on the time_specification in the Schedule. If
        [Schedule.catch_up][google.cloud.aiplatform.v1.Schedule.catch_up]
        is set up true, all missed runs will be scheduled for backfill
        first.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import aiplatform_v1

            def sample_resume_schedule():
                # Create a client
                client = aiplatform_v1.ScheduleServiceClient()

                # Initialize request argument(s)
                request = aiplatform_v1.ResumeScheduleRequest(
                    name="name_value",
                )

                # Make the request
                client.resume_schedule(request=request)

        Args:
            request (Union[google.cloud.aiplatform_v1.types.ResumeScheduleRequest, dict]):
                The request object. Request message for
                [ScheduleService.ResumeSchedule][google.cloud.aiplatform.v1.ScheduleService.ResumeSchedule].
            name (str):
                Required. The name of the Schedule resource to be
                resumed. Format:
                ``projects/{project}/locations/{location}/schedules/{schedule}``

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            catch_up (bool):
                Optional. Whether to backfill missed runs when the
                schedule is resumed from PAUSED state. If set to true,
                all missed runs will be scheduled. New runs will be
                scheduled after the backfill is complete. This will also
                update
                [Schedule.catch_up][google.cloud.aiplatform.v1.Schedule.catch_up]
                field. Default to false.

                This corresponds to the ``catch_up`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        """
        # Create or coerce a protobuf request object.
        # - Quick check: If we got a request object, we should *not* have
        #   gotten any keyword arguments that map to the request.
        flattened_params = [name, catch_up]
        has_flattened_params = (
            len([param for param in flattened_params if param is not None]) > 0
        )
        if request is not None and has_flattened_params:
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        # - Use the request object if provided (there's no risk of modifying the input as
        #   there are no flattened fields), or create one.
        if not isinstance(request, schedule_service.ResumeScheduleRequest):
            request = schedule_service.ResumeScheduleRequest(request)
            # If we have keyword arguments corresponding to fields on the
            # request, apply these.
            if name is not None:
                request.name = name
            if catch_up is not None:
                request.catch_up = catch_up

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.resume_schedule]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        # Send the request.
        rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

    def update_schedule(
        self,
        request: Optional[Union[schedule_service.UpdateScheduleRequest, dict]] = None,
        *,
        schedule: Optional[gca_schedule.Schedule] = None,
        update_mask: Optional[field_mask_pb2.FieldMask] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> gca_schedule.Schedule:
        r"""Updates an active or paused Schedule.

        When the Schedule is updated, new runs will be scheduled
        starting from the updated next execution time after the update
        time based on the time_specification in the updated Schedule.
        All unstarted runs before the update time will be skipped while
        already created runs will NOT be paused or canceled.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import aiplatform_v1

            def sample_update_schedule():
                # Create a client
                client = aiplatform_v1.ScheduleServiceClient()

                # Initialize request argument(s)
                schedule = aiplatform_v1.Schedule()
                schedule.cron = "cron_value"
                schedule.create_pipeline_job_request.parent = "parent_value"
                schedule.display_name = "display_name_value"
                schedule.max_concurrent_run_count = 2596

                request = aiplatform_v1.UpdateScheduleRequest(
                    schedule=schedule,
                )

                # Make the request
                response = client.update_schedule(request=request)

                # Handle the response
                print(response)

        Args:
            request (Union[google.cloud.aiplatform_v1.types.UpdateScheduleRequest, dict]):
                The request object. Request message for
                [ScheduleService.UpdateSchedule][google.cloud.aiplatform.v1.ScheduleService.UpdateSchedule].
            schedule (google.cloud.aiplatform_v1.types.Schedule):
                Required. The Schedule which replaces the resource on
                the server. The following restrictions will be applied:

                - The scheduled request type cannot be changed.
                - The non-empty fields cannot be unset.
                - The output_only fields will be ignored if specified.

                This corresponds to the ``schedule`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            update_mask (google.protobuf.field_mask_pb2.FieldMask):
                Required. The update mask applies to the resource. See
                [google.protobuf.FieldMask][google.protobuf.FieldMask].

                This corresponds to the ``update_mask`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.

        Returns:
            google.cloud.aiplatform_v1.types.Schedule:
                An instance of a Schedule
                periodically schedules runs to make API
                calls based on user specified time
                specification and API request type.

        """
        # Create or coerce a protobuf request object.
        # - Quick check: If we got a request object, we should *not* have
        #   gotten any keyword arguments that map to the request.
        flattened_params = [schedule, update_mask]
        has_flattened_params = (
            len([param for param in flattened_params if param is not None]) > 0
        )
        if request is not None and has_flattened_params:
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        # - Use the request object if provided (there's no risk of modifying the input as
        #   there are no flattened fields), or create one.
        if not isinstance(request, schedule_service.UpdateScheduleRequest):
            request = schedule_service.UpdateScheduleRequest(request)
            # If we have keyword arguments corresponding to fields on the
            # request, apply these.
            if schedule is not None:
                request.schedule = schedule
            if update_mask is not None:
                request.update_mask = update_mask

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.update_schedule]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata(
                (("schedule.name", request.schedule.name),)
            ),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        # Send the request.
        response = rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    def __enter__(self) -> "ScheduleServiceClient":
        return self

    def __exit__(self, type, value, traceback):
        """Releases underlying transport's resources.

        .. warning::
            ONLY use as a context manager if the transport is NOT shared
            with other clients! Exiting the with block will CLOSE the transport
            and may cause errors in other clients!
        """
        self.transport.close()

    def list_operations(
        self,
        request: Optional[operations_pb2.ListOperationsRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> operations_pb2.ListOperationsResponse:
        r"""Lists operations that match the specified filter in the request.

        Args:
            request (:class:`~.operations_pb2.ListOperationsRequest`):
                The request object. Request message for
                `ListOperations` method.
            retry (google.api_core.retry.Retry): Designation of what errors,
                    if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        Returns:
            ~.operations_pb2.ListOperationsResponse:
                Response message for ``ListOperations`` method.
        """
        # Create or coerce a protobuf request object.
        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = operations_pb2.ListOperationsRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.list_operations]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        try:
            # Send the request.
            response = rpc(
                request,
                retry=retry,
                timeout=timeout,
                metadata=metadata,
            )

            # Done; return the response.
            return response
        except core_exceptions.GoogleAPICallError as e:
            self._add_cred_info_for_auth_errors(e)
            raise e

    def get_operation(
        self,
        request: Optional[operations_pb2.GetOperationRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> operations_pb2.Operation:
        r"""Gets the latest state of a long-running operation.

        Args:
            request (:class:`~.operations_pb2.GetOperationRequest`):
                The request object. Request message for
                `GetOperation` method.
            retry (google.api_core.retry.Retry): Designation of what errors,
                    if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        Returns:
            ~.operations_pb2.Operation:
                An ``Operation`` object.
        """
        # Create or coerce a protobuf request object.
        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = operations_pb2.GetOperationRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.get_operation]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        try:
            # Send the request.
            response = rpc(
                request,
                retry=retry,
                timeout=timeout,
                metadata=metadata,
            )

            # Done; return the response.
            return response
        except core_exceptions.GoogleAPICallError as e:
            self._add_cred_info_for_auth_errors(e)
            raise e

    def delete_operation(
        self,
        request: Optional[operations_pb2.DeleteOperationRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> None:
        r"""Deletes a long-running operation.

        This method indicates that the client is no longer interested
        in the operation result. It does not cancel the operation.
        If the server doesn't support this method, it returns
        `google.rpc.Code.UNIMPLEMENTED`.

        Args:
            request (:class:`~.operations_pb2.DeleteOperationRequest`):
                The request object. Request message for
                `DeleteOperation` method.
            retry (google.api_core.retry.Retry): Designation of what errors,
                    if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        Returns:
            None
        """
        # Create or coerce a protobuf request object.
        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = operations_pb2.DeleteOperationRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.delete_operation]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        # Send the request.
        rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

    def cancel_operation(
        self,
        request: Optional[operations_pb2.CancelOperationRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> None:
        r"""Starts asynchronous cancellation on a long-running operation.

        The server makes a best effort to cancel the operation, but success
        is not guaranteed.  If the server doesn't support this method, it returns
        `google.rpc.Code.UNIMPLEMENTED`.

        Args:
            request (:class:`~.operations_pb2.CancelOperationRequest`):
                The request object. Request message for
                `CancelOperation` method.
            retry (google.api_core.retry.Retry): Designation of what errors,
                    if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        Returns:
            None
        """
        # Create or coerce a protobuf request object.
        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = operations_pb2.CancelOperationRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.cancel_operation]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        # Send the request.
        rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

    def wait_operation(
        self,
        request: Optional[operations_pb2.WaitOperationRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> operations_pb2.Operation:
        r"""Waits until the specified long-running operation is done or reaches at most
        a specified timeout, returning the latest state.

        If the operation is already done, the latest state is immediately returned.
        If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC
        timeout is used.  If the server does not support this method, it returns
        `google.rpc.Code.UNIMPLEMENTED`.

        Args:
            request (:class:`~.operations_pb2.WaitOperationRequest`):
                The request object. Request message for
                `WaitOperation` method.
            retry (google.api_core.retry.Retry): Designation of what errors,
                    if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        Returns:
            ~.operations_pb2.Operation:
                An ``Operation`` object.
        """
        # Create or coerce a protobuf request object.
        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = operations_pb2.WaitOperationRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.wait_operation]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        try:
            # Send the request.
            response = rpc(
                request,
                retry=retry,
                timeout=timeout,
                metadata=metadata,
            )

            # Done; return the response.
            return response
        except core_exceptions.GoogleAPICallError as e:
            self._add_cred_info_for_auth_errors(e)
            raise e

    def set_iam_policy(
        self,
        request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> policy_pb2.Policy:
        r"""Sets the IAM access control policy on the specified function.

        Replaces any existing policy.

        Args:
            request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`):
                The request object. Request message for `SetIamPolicy`
                method.
            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        Returns:
            ~.policy_pb2.Policy:
                Defines an Identity and Access Management (IAM) policy.
                It is used to specify access control policies for Cloud
                Platform resources.
                A ``Policy`` is a collection of ``bindings``. A
                ``binding`` binds one or more ``members`` to a single
                ``role``. Members can be user accounts, service
                accounts, Google groups, and domains (such as G Suite).
                A ``role`` is a named list of permissions (defined by
                IAM or configured by users). A ``binding`` can
                optionally specify a ``condition``, which is a logic
                expression that further constrains the role binding
                based on attributes about the request and/or target
                resource.

                **JSON Example**

                ::

                    {
                      "bindings": [
                        {
                          "role": "roles/resourcemanager.organizationAdmin",
                          "members": [
                            "user:mike@example.com",
                            "group:admins@example.com",
                            "domain:google.com",
                            "serviceAccount:my-project-id@appspot.gserviceaccount.com"
                          ]
                        },
                        {
                          "role": "roles/resourcemanager.organizationViewer",
                          "members": ["user:eve@example.com"],
                          "condition": {
                            "title": "expirable access",
                            "description": "Does not grant access after Sep 2020",
                            "expression": "request.time <
                            timestamp('2020-10-01T00:00:00.000Z')",
                          }
                        }
                      ]
                    }

                **YAML Example**

                ::

                    bindings:
                    - members:
                      - user:mike@example.com
                      - group:admins@example.com
                      - domain:google.com
                      - serviceAccount:my-project-id@appspot.gserviceaccount.com
                      role: roles/resourcemanager.organizationAdmin
                    - members:
                      - user:eve@example.com
                      role: roles/resourcemanager.organizationViewer
                      condition:
                        title: expirable access
                        description: Does not grant access after Sep 2020
                        expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

                For a description of IAM and its features, see the `IAM
                developer's
                guide <https://cloud.google.com/iam/docs>`__.
        """
        # Create or coerce a protobuf request object.

        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = iam_policy_pb2.SetIamPolicyRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.set_iam_policy]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        try:
            # Send the request.
            response = rpc(
                request,
                retry=retry,
                timeout=timeout,
                metadata=metadata,
            )

            # Done; return the response.
            return response
        except core_exceptions.GoogleAPICallError as e:
            self._add_cred_info_for_auth_errors(e)
            raise e

    def get_iam_policy(
        self,
        request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> policy_pb2.Policy:
        r"""Gets the IAM access control policy for a function.

        Returns an empty policy if the function exists and does not have a
        policy set.

        Args:
            request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`):
                The request object. Request message for `GetIamPolicy`
                method.
            retry (google.api_core.retry.Retry): Designation of what errors, if
                any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        Returns:
            ~.policy_pb2.Policy:
                Defines an Identity and Access Management (IAM) policy.
                It is used to specify access control policies for Cloud
                Platform resources.
                A ``Policy`` is a collection of ``bindings``. A
                ``binding`` binds one or more ``members`` to a single
                ``role``. Members can be user accounts, service
                accounts, Google groups, and domains (such as G Suite).
                A ``role`` is a named list of permissions (defined by
                IAM or configured by users). A ``binding`` can
                optionally specify a ``condition``, which is a logic
                expression that further constrains the role binding
                based on attributes about the request and/or target
                resource.

                **JSON Example**

                ::

                    {
                      "bindings": [
                        {
                          "role": "roles/resourcemanager.organizationAdmin",
                          "members": [
                            "user:mike@example.com",
                            "group:admins@example.com",
                            "domain:google.com",
                            "serviceAccount:my-project-id@appspot.gserviceaccount.com"
                          ]
                        },
                        {
                          "role": "roles/resourcemanager.organizationViewer",
                          "members": ["user:eve@example.com"],
                          "condition": {
                            "title": "expirable access",
                            "description": "Does not grant access after Sep 2020",
                            "expression": "request.time <
                            timestamp('2020-10-01T00:00:00.000Z')",
                          }
                        }
                      ]
                    }

                **YAML Example**

                ::

                    bindings:
                    - members:
                      - user:mike@example.com
                      - group:admins@example.com
                      - domain:google.com
                      - serviceAccount:my-project-id@appspot.gserviceaccount.com
                      role: roles/resourcemanager.organizationAdmin
                    - members:
                      - user:eve@example.com
                      role: roles/resourcemanager.organizationViewer
                      condition:
                        title: expirable access
                        description: Does not grant access after Sep 2020
                        expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

                For a description of IAM and its features, see the `IAM
                developer's
                guide <https://cloud.google.com/iam/docs>`__.
        """
        # Create or coerce a protobuf request object.

        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = iam_policy_pb2.GetIamPolicyRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.get_iam_policy]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        try:
            # Send the request.
            response = rpc(
                request,
                retry=retry,
                timeout=timeout,
                metadata=metadata,
            )

            # Done; return the response.
            return response
        except core_exceptions.GoogleAPICallError as e:
            self._add_cred_info_for_auth_errors(e)
            raise e

    def test_iam_permissions(
        self,
        request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> iam_policy_pb2.TestIamPermissionsResponse:
        r"""Tests the specified IAM permissions against the IAM access control
            policy for a function.

        If the function does not exist, this will return an empty set
        of permissions, not a NOT_FOUND error.

        Args:
            request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`):
                The request object. Request message for
                `TestIamPermissions` method.
            retry (google.api_core.retry.Retry): Designation of what errors,
                 if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        Returns:
            ~.iam_policy_pb2.TestIamPermissionsResponse:
                Response message for ``TestIamPermissions`` method.
        """
        # Create or coerce a protobuf request object.

        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = iam_policy_pb2.TestIamPermissionsRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.test_iam_permissions]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        try:
            # Send the request.
            response = rpc(
                request,
                retry=retry,
                timeout=timeout,
                metadata=metadata,
            )

            # Done; return the response.
            return response
        except core_exceptions.GoogleAPICallError as e:
            self._add_cred_info_for_auth_errors(e)
            raise e

    def get_location(
        self,
        request: Optional[locations_pb2.GetLocationRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> locations_pb2.Location:
        r"""Gets information about a location.

        Args:
            request (:class:`~.location_pb2.GetLocationRequest`):
                The request object. Request message for
                `GetLocation` method.
            retry (google.api_core.retry.Retry): Designation of what errors,
                 if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        Returns:
            ~.location_pb2.Location:
                Location object.
        """
        # Create or coerce a protobuf request object.
        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = locations_pb2.GetLocationRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.get_location]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        try:
            # Send the request.
            response = rpc(
                request,
                retry=retry,
                timeout=timeout,
                metadata=metadata,
            )

            # Done; return the response.
            return response
        except core_exceptions.GoogleAPICallError as e:
            self._add_cred_info_for_auth_errors(e)
            raise e

    def list_locations(
        self,
        request: Optional[locations_pb2.ListLocationsRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> locations_pb2.ListLocationsResponse:
        r"""Lists information about the supported locations for this service.

        Args:
            request (:class:`~.location_pb2.ListLocationsRequest`):
                The request object. Request message for
                `ListLocations` method.
            retry (google.api_core.retry.Retry): Designation of what errors,
                 if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        Returns:
            ~.location_pb2.ListLocationsResponse:
                Response message for ``ListLocations`` method.
        """
        # Create or coerce a protobuf request object.
        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = locations_pb2.ListLocationsRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.list_locations]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        try:
            # Send the request.
            response = rpc(
                request,
                retry=retry,
                timeout=timeout,
                metadata=metadata,
            )

            # Done; return the response.
            return response
        except core_exceptions.GoogleAPICallError as e:
            self._add_cred_info_for_auth_errors(e)
            raise e


DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
    gapic_version=package_version.__version__
)

if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"):  # pragma: NO COVER
    DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__

__all__ = ("ScheduleServiceClient",)