text:
"""Accesses the google.cloud.scheduler.v1beta1 CloudScheduler API."""

import functools
import pkg_resources
import warnings

from google.oauth2 import service_account
import google.api_core.client_options
import google.api_core.gapic_v1.client_info
import google.api_core.gapic_v1.config
import google.api_core.gapic_v1.method
import google.api_core.gapic_v1.routing_header
import google.api_core.grpc_helpers
import google.api_core.page_iterator
import google.api_core.path_template
import grpc

from google.cloud.scheduler_v1beta1.gapic import cloud_scheduler_client_config
from google.cloud.scheduler_v1beta1.gapic import enums
from google.cloud.scheduler_v1beta1.gapic.transports import (
    cloud_scheduler_grpc_transport,
)
from google.cloud.scheduler_v1beta1.proto import cloudscheduler_pb2
from google.cloud.scheduler_v1beta1.proto import cloudscheduler_pb2_grpc
from google.cloud.scheduler_v1beta1.proto import job_pb2
from google.protobuf import empty_pb2
from google.protobuf import field_mask_pb2

_GAPIC_LIBRARY_VERSION = pkg_resources.get_distribution(
    "google-cloud-scheduler"
).version

class CloudSchedulerClient(object):
    """
    The Cloud Scheduler API allows external entities to reliably
    schedule asynchronous jobs.
    """

    SERVICE_ADDRESS = "cloudscheduler.googleapis.com:443"
    """The default address of the service."""

    # The name of the interface for this client. This is the key used to
    # find the method configuration in the client_config dictionary.
    _INTERFACE_NAME = "google.cloud.scheduler.v1beta1.CloudScheduler"

    @classmethod
    def from_service_account_file(cls, filename, *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:
            CloudSchedulerClient: 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

    @classmethod
    def job_path(cls, project, location, job):
        """Return a fully-qualified job string."""
        return google.api_core.path_template.expand(
            "projects/{project}/locations/{location}/jobs/{job}",
            project=project,
            location=location,
            job=job,
        )

    @classmethod
    def location_path(cls, project, location):
        """Return a fully-qualified location string."""
        return google.api_core.path_template.expand(
            "projects/{project}/locations/{location}",
            project=project,
            location=location,
        )

    def __init__(
        self,
        transport=None,
        channel=None,
        credentials=None,
        client_config=None,
        client_info=None,
        client_options=None,
    ):
        """Constructor.

        Args:
            transport (Union[~.CloudSchedulerGrpcTransport,
                    Callable[[~.Credentials, type], ~.CloudSchedulerGrpcTransport]): A transport
                instance, responsible for actually making the API calls.
                The default transport uses the gRPC protocol.
                This argument may also be a callable which returns a
                transport instance. Callables will be sent the credentials
                as the first argument and the default transport class as
                the second argument.
            channel (grpc.Channel): DEPRECATED. A ``Channel`` instance
                through which to make calls. This argument is mutually exclusive
                with ``credentials``; providing both will raise an exception.
            credentials (google.auth.credentials.Credentials): The
                authorization credentials to attach to requests. These
                credentials identify this application to the service. If none
                are specified, the client will attempt to ascertain the
                credentials from the environment.
                This argument is mutually exclusive with providing a
                transport instance to ``transport``; doing so will raise
                an exception.
            client_config (dict): DEPRECATED. A dictionary of call options for
                each method. If not specified, the default configuration is used.
            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.
            client_options (Union[dict, google.api_core.client_options.ClientOptions]):
                Client options used to set user options on the client. API Endpoint
                should be set through client_options.
        """
        # Raise deprecation warnings for things we want to go away.
        if client_config is not None:
            warnings.warn(
                "The `client_config` argument is deprecated.",
                PendingDeprecationWarning,
                stacklevel=2,
            )
        else:
            client_config = cloud_scheduler_client_config.config

        if channel:
            warnings.warn(
                "The `channel` argument is deprecated; use " "`transport` instead.",
                PendingDeprecationWarning,
                stacklevel=2,
            )

        api_endpoint = self.SERVICE_ADDRESS
        if client_options:
            if type(client_options) == dict:
                client_options = google.api_core.client_options.from_dict(
                    client_options
                )
            if client_options.api_endpoint:
                api_endpoint = client_options.api_endpoint

        # Instantiate the transport.
        # The transport is responsible for handling serialization and
        # deserialization and actually sending data to the service.
        if transport:
            if callable(transport):
                self.transport = transport(
                    credentials=credentials,
                    default_class=cloud_scheduler_grpc_transport.CloudSchedulerGrpcTransport,
                    address=api_endpoint,
                )
            else:
                if credentials:
                    raise ValueError(
                        "Received both a transport instance and "
                        "credentials; these are mutually exclusive."
                    )
                self.transport = transport
        else:
            self.transport = cloud_scheduler_grpc_transport.CloudSchedulerGrpcTransport(
                address=api_endpoint, channel=channel, credentials=credentials
            )

        if client_info is None:
            client_info = google.api_core.gapic_v1.client_info.ClientInfo(
                gapic_version=_GAPIC_LIBRARY_VERSION
            )
        else:
            client_info.gapic_version = _GAPIC_LIBRARY_VERSION
        self._client_info = client_info

        # Parse out the default settings for retry and timeout for each RPC
        # from the client configuration.
        # (Ordinarily, these are the defaults specified in the `*_config.py`
        # file next to this one.)
        self._method_configs = google.api_core.gapic_v1.config.parse_method_configs(
            client_config["interfaces"][self._INTERFACE_NAME]
        )

        # Save a dictionary of cached API call functions.
        # These are the actual callables which invoke the proper
        # transport methods, wrapped with `wrap_method` to add retry,
        # timeout, and the like.
        self._inner_api_calls = {}

    # Service calls
    def list_jobs(
        self,
        parent,
        page_size=None,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Lists jobs.

        Example:
            >>> from google.cloud import scheduler_v1beta1
            >>>
            >>> client = scheduler_v1beta1.CloudSchedulerClient()
            >>>
            >>> parent = client.location_path('[PROJECT]', '[LOCATION]')
            >>>
            >>> # Iterate over all results
            >>> for element in client.list_jobs(parent):
            ...     # process element
            ...     pass
            >>>
            >>>
            >>> # Alternatively:
            >>>
            >>> # Iterate over results one page at a time
            >>> for page in client.list_jobs(parent).pages:
            ...     for element in page:
            ...         # process element
            ...         pass

        Args:
            parent (str): Required. The location name. For example:
                ``projects/PROJECT_ID/locations/LOCATION_ID``.
            page_size (int): The maximum number of resources contained in the
                underlying API response. If page streaming is performed per-
                resource, this parameter does not affect the return value. If page
                streaming is performed per-page, this determines the maximum number
                of resources in a page.
            retry (Optional[google.api_core.retry.Retry]):  A retry object used
                to retry requests. If ``None`` is specified, requests will
                be retried using a default configuration.
            timeout (Optional[float]): The amount of time, in seconds, to wait
                for the request to complete. Note that if ``retry`` is
                specified, the timeout applies to each individual attempt.
            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
                that is provided to the method.

        Returns:
            A :class:`~google.api_core.page_iterator.PageIterator` instance.
            An iterable of :class:`~google.cloud.scheduler_v1beta1.types.Job` instances.
            You can also iterate over the pages of the response
            using its `pages` property.

        Raises:
            google.api_core.exceptions.GoogleAPICallError: If the request
                    failed for any reason.
            google.api_core.exceptions.RetryError: If the request failed due
                    to a retryable error and retry attempts failed.
            ValueError: If the parameters are invalid.
        """
        # Wrap the transport method to add retry and timeout logic.
        if "list_jobs" not in self._inner_api_calls:
            self._inner_api_calls[
                "list_jobs"
            ] = google.api_core.gapic_v1.method.wrap_method(
                self.transport.list_jobs,
                default_retry=self._method_configs["ListJobs"].retry,
                default_timeout=self._method_configs["ListJobs"].timeout,
                client_info=self._client_info,
            )

        request = cloudscheduler_pb2.ListJobsRequest(parent=parent, page_size=page_size)
        if metadata is None:
            metadata = []
        metadata = list(metadata)
        try:
            routing_header = [("parent", parent)]
        except AttributeError:
            pass
        else:
            routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
                routing_header
            )
            metadata.append(routing_metadata)

        iterator = google.api_core.page_iterator.GRPCIterator(
            client=None,
            method=functools.partial(
                self._inner_api_calls["list_jobs"],
                retry=retry,
                timeout=timeout,
                metadata=metadata,
            ),
            request=request,
            items_field="jobs",
            request_token_field="page_token",
            response_token_field="next_page_token",
        )
        return iterator

    def get_job(
        self,
        name,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Gets a job.

        Example:
            >>> from google.cloud import scheduler_v1beta1
            >>>
            >>> client = scheduler_v1beta1.CloudSchedulerClient()
            >>>
            >>> name = client.job_path('[PROJECT]', '[LOCATION]', '[JOB]')
            >>>
            >>> response = client.get_job(name)

        Args:
            name (str): Required. The job name. For example:
                ``projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID``.
            retry (Optional[google.api_core.retry.Retry]):  A retry object used
                to retry requests. If ``None`` is specified, requests will
                be retried using a default configuration.
            timeout (Optional[float]): The amount of time, in seconds, to wait
                for the request to complete. Note that if ``retry`` is
                specified, the timeout applies to each individual attempt.
            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
                that is provided to the method.

        Returns:
            A :class:`~google.cloud.scheduler_v1beta1.types.Job` instance.

        Raises:
            google.api_core.exceptions.GoogleAPICallError: If the request
                    failed for any reason.
            google.api_core.exceptions.RetryError: If the request failed due
                    to a retryable error and retry attempts failed.
            ValueError: If the parameters are invalid.
        """
        # Wrap the transport method to add retry and timeout logic.
        if "get_job" not in self._inner_api_calls:
            self._inner_api_calls[
                "get_job"
            ] = google.api_core.gapic_v1.method.wrap_method(
                self.transport.get_job,
                default_retry=self._method_configs["GetJob"].retry,
                default_timeout=self._method_configs["GetJob"].timeout,
                client_info=self._client_info,
            )

        request = cloudscheduler_pb2.GetJobRequest(name=name)
        if metadata is None:
            metadata = []
        metadata = list(metadata)
        try:
            routing_header = [("name", name)]
        except AttributeError:
            pass
        else:
            routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
                routing_header
            )
            metadata.append(routing_metadata)

        return self._inner_api_calls["get_job"](
            request, retry=retry, timeout=timeout, metadata=metadata
        )

    def create_job(
        self,
        parent,
        job,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Creates a job.

        Example:
            >>> from google.cloud import scheduler_v1beta1
            >>>
            >>> client = scheduler_v1beta1.CloudSchedulerClient()
            >>>
            >>> parent = client.location_path('[PROJECT]', '[LOCATION]')
            >>>
            >>> # TODO: Initialize `job`:
            >>> job = {}
            >>>
            >>> response = client.create_job(parent, job)

        Args:
            parent (str): Required. The location name. For example:
                ``projects/PROJECT_ID/locations/LOCATION_ID``.
            job (Union[dict, ~google.cloud.scheduler_v1beta1.types.Job]): Required. The job to add. The user can optionally specify a name for the
                job in ``name``. ``name`` cannot be the same as an existing job. If a
                name is not specified then the system will generate a random unique name
                that will be returned (``name``) in the response.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.scheduler_v1beta1.types.Job`
            retry (Optional[google.api_core.retry.Retry]):  A retry object used
                to retry requests. If ``None`` is specified, requests will
                be retried using a default configuration.
            timeout (Optional[float]): The amount of time, in seconds, to wait
                for the request to complete. Note that if ``retry`` is
                specified, the timeout applies to each individual attempt.
            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
                that is provided to the method.

        Returns:
            A :class:`~google.cloud.scheduler_v1beta1.types.Job` instance.

        Raises:
            google.api_core.exceptions.GoogleAPICallError: If the request
                    failed for any reason.
            google.api_core.exceptions.RetryError: If the request failed due
                    to a retryable error and retry attempts failed.
            ValueError: If the parameters are invalid.
        """
        # Wrap the transport method to add retry and timeout logic.
        if "create_job" not in self._inner_api_calls:
            self._inner_api_calls[
                "create_job"
            ] = google.api_core.gapic_v1.method.wrap_method(
                self.transport.create_job,
                default_retry=self._method_configs["CreateJob"].retry,
                default_timeout=self._method_configs["CreateJob"].timeout,
                client_info=self._client_info,
            )

        request = cloudscheduler_pb2.CreateJobRequest(parent=parent, job=job)
        if metadata is None:
            metadata = []
        metadata = list(metadata)
        try:
            routing_header = [("parent", parent)]
        except AttributeError:
            pass
        else:
            routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
                routing_header
            )
            metadata.append(routing_metadata)

        return self._inner_api_calls["create_job"](
            request, retry=retry, timeout=timeout, metadata=metadata
        )

    def update_job(
        self,
        job,
        update_mask=None,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Updates a job.

        If successful, the updated ``Job`` is returned. If the job does not
        exist, ``NOT_FOUND`` is returned.

        If UpdateJob does not successfully return, it is possible for the job to
        be in an ``Job.State.UPDATE_FAILED`` state. A job in this state may not
        be executed. If this happens, retry the UpdateJob request until a
        successful response is received.

        Example:
            >>> from google.cloud import scheduler_v1beta1
            >>>
            >>> client = scheduler_v1beta1.CloudSchedulerClient()
            >>>
            >>> # TODO: Initialize `job`:
            >>> job = {}
            >>>
            >>> response = client.update_job(job)

        Args:
            job (Union[dict, ~google.cloud.scheduler_v1beta1.types.Job]): Required. The new job properties. ``name`` must be specified.

                Output only fields cannot be modified using UpdateJob. Any value
                specified for an output only field will be ignored.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.scheduler_v1beta1.types.Job`
            update_mask (Union[dict, ~google.cloud.scheduler_v1beta1.types.FieldMask]): A  mask used to specify which fields of the job are being updated.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.scheduler_v1beta1.types.FieldMask`
            retry (Optional[google.api_core.retry.Retry]):  A retry object used
                to retry requests. If ``None`` is specified, requests will
                be retried using a default configuration.
            timeout (Optional[float]): The amount of time, in seconds, to wait
                for the request to complete. Note that if ``retry`` is
                specified, the timeout applies to each individual attempt.
            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
                that is provided to the method.

        Returns:
            A :class:`~google.cloud.scheduler_v1beta1.types.Job` instance.

        Raises:
            google.api_core.exceptions.GoogleAPICallError: If the request
                    failed for any reason.
            google.api_core.exceptions.RetryError: If the request failed due
                    to a retryable error and retry attempts failed.
            ValueError: If the parameters are invalid.
        """
        # Wrap the transport method to add retry and timeout logic.
        if "update_job" not in self._inner_api_calls:
            self._inner_api_calls[
                "update_job"
            ] = google.api_core.gapic_v1.method.wrap_method(
                self.transport.update_job,
                default_retry=self._method_configs["UpdateJob"].retry,
                default_timeout=self._method_configs["UpdateJob"].timeout,
                client_info=self._client_info,
            )

        request = cloudscheduler_pb2.UpdateJobRequest(job=job, update_mask=update_mask)
        if metadata is None:
            metadata = []
        metadata = list(metadata)
        try:
            routing_header = [("job.name", job.name)]
        except AttributeError:
            pass
        else:
            routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
                routing_header
            )
            metadata.append(routing_metadata)

        return self._inner_api_calls["update_job"](
            request, retry=retry, timeout=timeout, metadata=metadata
        )

    def delete_job(
        self,
        name,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Deletes a job.

        Example:
            >>> from google.cloud import scheduler_v1beta1
            >>>
            >>> client = scheduler_v1beta1.CloudSchedulerClient()
            >>>
            >>> name = client.job_path('[PROJECT]', '[LOCATION]', '[JOB]')
            >>>
            >>> client.delete_job(name)

        Args:
            name (str): Required. The job name. For example:
                ``projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID``.
            retry (Optional[google.api_core.retry.Retry]):  A retry object used
                to retry requests. If ``None`` is specified, requests will
                be retried using a default configuration.
            timeout (Optional[float]): The amount of time, in seconds, to wait
                for the request to complete. Note that if ``retry`` is
                specified, the timeout applies to each individual attempt.
            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
                that is provided to the method.

        Raises:
            google.api_core.exceptions.GoogleAPICallError: If the request
                    failed for any reason.
            google.api_core.exceptions.RetryError: If the request failed due
                    to a retryable error and retry attempts failed.
            ValueError: If the parameters are invalid.
        """
        # Wrap the transport method to add retry and timeout logic.
        if "delete_job" not in self._inner_api_calls:
            self._inner_api_calls[
                "delete_job"
            ] = google.api_core.gapic_v1.method.wrap_method(
                self.transport.delete_job,
                default_retry=self._method_configs["DeleteJob"].retry,
                default_timeout=self._method_configs["DeleteJob"].timeout,
                client_info=self._client_info,
            )

        request = cloudscheduler_pb2.DeleteJobRequest(name=name)
        if metadata is None:
            metadata = []
        metadata = list(metadata)
        try:
            routing_header = [("name", name)]
        except AttributeError:
            pass
        else:
            routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
                routing_header
            )
            metadata.append(routing_metadata)

        self._inner_api_calls["delete_job"](
            request, retry=retry, timeout=timeout, metadata=metadata
        )

    def pause_job(
        self,
        name,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Pauses a job.

        If a job is paused then the system will stop executing the job until it
        is re-enabled via ``ResumeJob``. The state of the job is stored in
        ``state``; if paused it will be set to ``Job.State.PAUSED``. A job must
        be in ``Job.State.ENABLED`` to be paused.

        Example:
            >>> from google.cloud import scheduler_v1beta1
            >>>
            >>> client = scheduler_v1beta1.CloudSchedulerClient()
            >>>
            >>> name = client.job_path('[PROJECT]', '[LOCATION]', '[JOB]')
            >>>
            >>> response = client.pause_job(name)

        Args:
            name (str): Required. The job name. For example:
                ``projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID``.
            retry (Optional[google.api_core.retry.Retry]):  A retry object used
                to retry requests. If ``None`` is specified, requests will
                be retried using a default configuration.
            timeout (Optional[float]): The amount of time, in seconds, to wait
                for the request to complete. Note that if ``retry`` is
                specified, the timeout applies to each individual attempt.
            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
                that is provided to the method.

        Returns:
            A :class:`~google.cloud.scheduler_v1beta1.types.Job` instance.

        Raises:
            google.api_core.exceptions.GoogleAPICallError: If the request
                    failed for any reason.
            google.api_core.exceptions.RetryError: If the request failed due
                    to a retryable error and retry attempts failed.
            ValueError: If the parameters are invalid.
        """
        # Wrap the transport method to add retry and timeout logic.
        if "pause_job" not in self._inner_api_calls:
            self._inner_api_calls[
                "pause_job"
            ] = google.api_core.gapic_v1.method.wrap_method(
                self.transport.pause_job,
                default_retry=self._method_configs["PauseJob"].retry,
                default_timeout=self._method_configs["PauseJob"].timeout,
                client_info=self._client_info,
            )

        request = cloudscheduler_pb2.PauseJobRequest(name=name)
        if metadata is None:
            metadata = []
        metadata = list(metadata)
        try:
            routing_header = [("name", name)]
        except AttributeError:
            pass
        else:
            routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
                routing_header
            )
            metadata.append(routing_metadata)

        return self._inner_api_calls["pause_job"](
            request, retry=retry, timeout=timeout, metadata=metadata
        )

    def resume_job(
        self,
        name,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Resume a job.

        This method reenables a job after it has been ``Job.State.PAUSED``. The
        state of a job is stored in ``Job.state``; after calling this method it
        will be set to ``Job.State.ENABLED``. A job must be in
        ``Job.State.PAUSED`` to be resumed.

        Example:
            >>> from google.cloud import scheduler_v1beta1
            >>>
            >>> client = scheduler_v1beta1.CloudSchedulerClient()
            >>>
            >>> name = client.job_path('[PROJECT]', '[LOCATION]', '[JOB]')
            >>>
            >>> response = client.resume_job(name)

        Args:
            name (str): Required. The job name. For example:
                ``projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID``.
            retry (Optional[google.api_core.retry.Retry]):  A retry object used
                to retry requests. If ``None`` is specified, requests will
                be retried using a default configuration.
            timeout (Optional[float]): The amount of time, in seconds, to wait
                for the request to complete. Note that if ``retry`` is
                specified, the timeout applies to each individual attempt.
            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
                that is provided to the method.

        Returns:
            A :class:`~google.cloud.scheduler_v1beta1.types.Job` instance.

        Raises:
            google.api_core.exceptions.GoogleAPICallError: If the request
                    failed for any reason.
            google.api_core.exceptions.RetryError: If the request failed due
                    to a retryable error and retry attempts failed.
            ValueError: If the parameters are invalid.
        """
        # Wrap the transport method to add retry and timeout logic.
        if "resume_job" not in self._inner_api_calls:
            self._inner_api_calls[
                "resume_job"
            ] = google.api_core.gapic_v1.method.wrap_method(
                self.transport.resume_job,
                default_retry=self._method_configs["ResumeJob"].retry,
                default_timeout=self._method_configs["ResumeJob"].timeout,
                client_info=self._client_info,
            )

        request = cloudscheduler_pb2.ResumeJobRequest(name=name)
        if metadata is None:
            metadata = []
        metadata = list(metadata)
        try:
            routing_header = [("name", name)]
        except AttributeError:
            pass
        else:
            routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
                routing_header
            )
            metadata.append(routing_metadata)

        return self._inner_api_calls["resume_job"](
            request, retry=retry, timeout=timeout, metadata=metadata
        )

    def run_job(
        self,
        name,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Forces a job to run now.

        When this method is called, Cloud Scheduler will dispatch the job, even
        if the job is already running.

        Example:
            >>> from google.cloud import scheduler_v1beta1
            >>>
            >>> client = scheduler_v1beta1.CloudSchedulerClient()
            >>>
            >>> name = client.job_path('[PROJECT]', '[LOCATION]', '[JOB]')
            >>>
            >>> response = client.run_job(name)

        Args:
            name (str): Required. The job name. For example:
                ``projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_ID``.
            retry (Optional[google.api_core.retry.Retry]):  A retry object used
                to retry requests. If ``None`` is specified, requests will
                be retried using a default configuration.
            timeout (Optional[float]): The amount of time, in seconds, to wait
                for the request to complete. Note that if ``retry`` is
                specified, the timeout applies to each individual attempt.
            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
                that is provided to the method.

        Returns:
            A :class:`~google.cloud.scheduler_v1beta1.types.Job` instance.

        Raises:
            google.api_core.exceptions.GoogleAPICallError: If the request
                    failed for any reason.
            google.api_core.exceptions.RetryError: If the request failed due
                    to a retryable error and retry attempts failed.
            ValueError: If the parameters are invalid.
        """
        # Wrap the transport method to add retry and timeout logic.
        if "run_job" not in self._inner_api_calls:
            self._inner_api_calls[
                "run_job"
            ] = google.api_core.gapic_v1.method.wrap_method(
                self.transport.run_job,
                default_retry=self._method_configs["RunJob"].retry,
                default_timeout=self._method_configs["RunJob"].timeout,
                client_info=self._client_info,
            )

        request = cloudscheduler_pb2.RunJobRequest(name=name)
        if metadata is None:
            metadata = []
        metadata = list(metadata)
        try:
            routing_header = [("name", name)]
        except AttributeError:
            pass
        else:
            routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
                routing_header
            )
            metadata.append(routing_metadata)

        return self._inner_api_calls["run_job"](
            request, retry=retry, timeout=timeout, metadata=metadata
        )


text:
<?php
/**
 * Behavior for loading Sitemap records
 */
namespace Sitemap\Model\Behavior;

use Cake\Datasource\ResultSetInterface;
use Cake\ORM\Behavior;
use Cake\ORM\Entity;
use Cake\ORM\Query;
use Cake\ORM\Table;
use Cake\Routing\Router;

/**
 * \Sitemap\Model\Behavior\SitemapBehavior
 */
class SitemapBehavior extends Behavior {
	/**
	 * Default configuration.
	 *
	 * @var array
	 */
	// @codingStandardsIgnoreStart
	protected $_defaultConfig = [
	// @codingStandardsIgnoreEnd
		'cacheConfigKey' => 'default',
		'lastmod' => 'modified',
		'changefreq' => 'daily',
		'priority' => '0.9',
		'conditions' => [],
		'order' => [],
		'fields' => [],
		'implementedMethods' => [
			'getUrl' => 'returnUrlForEntity',
		],
		'implementedFinders' => [
			'forSitemap' => 'findSitemapRecords',
		],
	];

	/**
	 * Constructor
	 *
	 * Merges config with the default and store in the config property
	 *
	 * @param \Cake\ORM\Table $table The table this behavior is attached to.
	 * @param array $config The config for this behavior.
	 */
	public function __construct(Table $table, array $config = []) {
		parent::__construct($table, $config);
	}

	/**
	 * Constructor hook method.
	 *
	 * Implement this method to avoid having to overwrite
	 * the constructor and call parent.
	 *
	 * @param array $config The configuration settings provided to this behavior.
	 * @return void
	 */
	public function initialize(array $config) {
		parent::initialize($config);
	}

	/**
	 * Return the URL for the primary view action for an Entity.
	 *
	 * @param \Cake\ORM\Entity $entity Entity object passed in to return the url for.
	 * @return string Returns the URL string.
	 */
	public function returnUrlForEntity(Entity $entity) {
		return Router::url(
			[
				'plugin' => null,
				'prefix' => null,
				'controller' => $this->_table->alias(),
				'action' => 'view',
				$entity->{$this->_table->primaryKey()},
			],
			true
		);
	}

	/**
	 * Find the Sitemap Records for a Table.
	 *
	 * @param \Cake\ORM\Query $query The Query being modified.
	 * @param array $options The array of options for the find.
	 * @return \Cake\ORM\Query Returns the modified Query object.
	 */
	public function findSitemapRecords(Query $query, array $options) {
		$query = $query
			->where($this->_config['conditions'])
			->cache("sitemap_{$query->repository()->alias()}", $this->_config['cacheConfigKey'])
			->order($this->_config['order'])
			->formatResults(function ($results) {
				return $this->mapResults($results);
			});

		if (!empty($this->_config['fields'])) {
			$query = $query->select($this->_config['fields']);
		}

		return $query;
	}

	/**
	 * Format Results method to take the ResultSetInterface and map it to add
	 * calculated fields for the Sitemap.
	 *
	 * @param \Cake\Datasource\ResultSetInterface $results The results of a Query
	 * operation.
	 * @return \Cake\Collection\CollectionInterface Returns the modified collection
	 * of Results.
	 */
	public function mapResults(ResultSetInterface $results) {
		return $results->map(function ($entity) {
			return $this->mapEntity($entity);
		});
	}

	/**
	 * Modify an entity with new `_` fields for the Sitemap display.
	 *
	 * @param \Cake\ORM\Entity $entity The entity being modified.
	 * @return \Cake\ORM\Entity Returns the modified entity.
	 */
	public function mapEntity(Entity $entity) {
		$entity['_loc'] = $this->_table->getUrl($entity);
		$entity['_lastmod'] = $entity->{$this->_config['lastmod']};
		$entity['_changefreq'] = $this->_config['changefreq'];
		$entity['_priority'] = $this->_config['priority'];

		return $entity;
	}
}

redpajama_set_name: RedPajamaGithub


text:
/** @file Md3FileData.h
 *
 *  @brief Defines helper data structures for importing MD3 files.
 *  http://linux.ucla.edu/~phaethon/q3/formats/md3format.html
 */
#ifndef AI_MD3FILEHELPER_H_INC
#define AI_MD3FILEHELPER_H_INC

#include <string>
#include <vector>
#include <sstream>
#include <stdint.h>

#include <assimp/types.h>
#include <assimp/mesh.h>
#include <assimp/anim.h>

#include <assimp/Compiler/pushpack1.h>

namespace Assimp    {
namespace MD3   {

// to make it easier for us, we test the magic word against both "endianesses"
#define AI_MD3_MAGIC_NUMBER_BE  AI_MAKE_MAGIC("IDP3")
#define AI_MD3_MAGIC_NUMBER_LE  AI_MAKE_MAGIC("3PDI")

// common limitations
#define AI_MD3_VERSION          15
#define AI_MD3_MAXQPATH         64
#define AI_MD3_MAXFRAME         16
#define AI_MD3_MAX_FRAMES       1024
#define AI_MD3_MAX_TAGS         16
#define AI_MD3_MAX_SURFACES     32
#define AI_MD3_MAX_SHADERS      256
#define AI_MD3_MAX_VERTS        4096
#define AI_MD3_MAX_TRIANGLES    8192

// master scale factor for all vertices in a MD3 model
#define AI_MD3_XYZ_SCALE        (1.0f/64.0f)

// -------------------------------------------------------------------------------
/** @brief Data structure for the MD3 main header
 */
struct Header
{
    //! magic number
    uint32_t IDENT;

    //! file format version
    uint32_t VERSION;

    //! original name in .pak archive
    char NAME[ AI_MD3_MAXQPATH ];

    //! unknown
    int32_t FLAGS;

    //! number of frames in the file
    uint32_t NUM_FRAMES;

    //! number of tags in the file
    uint32_t NUM_TAGS;

    //! number of surfaces in the file
    uint32_t NUM_SURFACES;

    //! number of skins in the file
    uint32_t NUM_SKINS;

    //! offset of the first frame
    uint32_t OFS_FRAMES;

    //! offset of the first tag
    uint32_t OFS_TAGS;

    //! offset of the first surface
    uint32_t OFS_SURFACES;

    //! end of file
    uint32_t OFS_EOF;
} PACK_STRUCT;

// -------------------------------------------------------------------------------
/** @brief Data structure for the frame header
 */
struct Frame
{
    //! minimum bounds
    aiVector3D min;

    //! maximum bounds
    aiVector3D max;

    //! local origin for this frame
    aiVector3D origin;

    //! radius of bounding sphere
    float radius;

    //! name of frame
    char name[ AI_MD3_MAXFRAME ];

} PACK_STRUCT;

// -------------------------------------------------------------------------------
/** @brief Data structure for the tag header
 */
struct Tag
{
    //! name of the tag
    char NAME[ AI_MD3_MAXQPATH ];

    //! Local tag origin and orientation
    aiVector3D  origin;
    float  orientation[3][3];

} PACK_STRUCT;

// -------------------------------------------------------------------------------
/** @brief Data structure for the surface header
 */
struct Surface
{
    //! magic number
    int32_t IDENT;

    //! original name of the surface
    char NAME[ AI_MD3_MAXQPATH ];

    //! unknown
    int32_t FLAGS;

    //! number of frames in the surface
    uint32_t NUM_FRAMES;

    //! number of shaders in the surface
    uint32_t NUM_SHADER;

    //! number of vertices in the surface
    uint32_t NUM_VERTICES;

    //! number of triangles in the surface
    uint32_t NUM_TRIANGLES;

    //! offset to the triangle data
    uint32_t OFS_TRIANGLES;

    //! offset to the shader data
    uint32_t OFS_SHADERS;

    //! offset to the texture coordinate data
    uint32_t OFS_ST;

    //! offset to the vertex/normal data
    uint32_t OFS_XYZNORMAL;

    //! offset to the end of the Surface object
    int32_t OFS_END;
} PACK_STRUCT;

// -------------------------------------------------------------------------------
/** @brief Data structure for a shader defined in there
 */
struct Shader
{
    //! filename of the shader
    char NAME[ AI_MD3_MAXQPATH ];

    //! index of the shader
    uint32_t SHADER_INDEX;
} PACK_STRUCT;

// -------------------------------------------------------------------------------
/** @brief Data structure for a triangle
 */
struct Triangle
{
    //! triangle indices
    uint32_t INDEXES[3];
} PACK_STRUCT;

// -------------------------------------------------------------------------------
/** @brief Data structure for an UV coord
 */
struct TexCoord
{
    //! UV coordinates
    float U,V;
} PACK_STRUCT;

// -------------------------------------------------------------------------------
/** @brief Data structure for a vertex
 */
struct Vertex
{
    //! X/Y/Z coordinates
    int16_t X,Y,Z;

    //! encoded normal vector
    uint16_t  NORMAL;
} PACK_STRUCT;

#include "./../include/assimp/Compiler/poppack1.h"

// -------------------------------------------------------------------------------
/** @brief Unpack a Q3 16 bit vector to its full float3 representation
 *
 *  @param p_iNormal Input normal vector in latitude/longitude form
 *  @param p_afOut Pointer to an array of three floats to receive the result
 *
 *  @note This has been taken from q3 source (misc_model.c)
 */
inline void LatLngNormalToVec3(uint16_t p_iNormal, float* p_afOut)
{
    float lat = (float)(( p_iNormal >> 8u ) & 0xff);
    float lng = (float)(( p_iNormal & 0xff ));
    lat *= 3.141926f/128.0f;
    lng *= 3.141926f/128.0f;

    p_afOut[0] = std::cos(lat) * std::sin(lng);
    p_afOut[1] = std::sin(lat) * std::sin(lng);
    p_afOut[2] = std::cos(lng);
    return;
}

// -------------------------------------------------------------------------------
/** @brief Pack a Q3 normal into 16bit latitute/longitude representation
 *  @param p_vIn Input vector
 *  @param p_iOut Output normal
 *
 *  @note This has been taken from q3 source (mathlib.c)
 */
inline void Vec3NormalToLatLng( const aiVector3D& p_vIn, uint16_t& p_iOut )
{
    // check for singularities
    if ( 0.0f == p_vIn[0] && 0.0f == p_vIn[1] )
    {
        if ( p_vIn[2] > 0.0f )
        {
            ((unsigned char*)&p_iOut)[0] = 0;
            ((unsigned char*)&p_iOut)[1] = 0;       // lat = 0, long = 0
        }
        else
        {
            ((unsigned char*)&p_iOut)[0] = 128;
            ((unsigned char*)&p_iOut)[1] = 0;       // lat = 0, long = 128
        }
    }
    else
    {
        int a, b;

        a = int(57.2957795f * ( atan2f( p_vIn[1], p_vIn[0] ) ) * (255.0f / 360.0f ));
        a &= 0xff;

        b = int(57.2957795f * ( acosf( p_vIn[2] ) ) * ( 255.0f / 360.0f ));
        b &= 0xff;

        ((unsigned char*)&p_iOut)[0] = b;   // longitude
        ((unsigned char*)&p_iOut)[1] = a;   // latitude
    }
}

}
}

#endif // !! AI_MD3FILEHELPER_H_INC


text:
using System;
using System.Net.FtpClient.Extensions;
using System.Threading.Tasks;

namespace System.Net.FtpClient.Async.Extensions
{
    /// <summary>
    /// XCRCAsync
    /// </summary>
    public static class XCRCAsync
    {
        /// <summary>
        /// Gets the XCRC asynchronous.
        /// </summary>
        /// <param name="client">The client.</param>
        /// <param name="path">The path.</param>
        /// <param name="factory">The factory.</param>
        /// <param name="creationOptions">The creation options.</param>
        /// <param name="scheduler">The scheduler.</param>
        /// <returns></returns>
        public static Task<string> GetXCRCAsync(this FtpClient client, string path,
            TaskFactory<string> factory = null,
            TaskCreationOptions creationOptions = default(TaskCreationOptions),
            TaskScheduler scheduler = null)
        {
            return (factory = factory ?? Task<string>.Factory).FromAsync(
                client.BeginGetXCRC(path, null, null),
                XCRC.EndGetXCRC,
                creationOptions, scheduler ?? factory.Scheduler ?? TaskScheduler.Current);
        }
    }
}