text:
package io.vertx.ext.web.impl;

import io.vertx.core.Handler;
import io.vertx.ext.web.Router;
import io.vertx.ext.web.RoutingContext;

import java.util.*;

/**
 * This class encapsulates the router state, all mutations are atomic and return a new state with the mutation.
 *

 * This class is thread-safe
 *
 * @author Paulo Lopes
 */
final class RouterState {

  private static final Comparator<RouteImpl> routeComparator = (RouteImpl o1, RouteImpl o2) -> {
    // we keep a set of handlers ordered by its "order" property
    final int compare = Integer.compare(o1.order(), o2.order());
    // since we are defining the comparator to order the set we must be careful because the set
    // will use the comparator to compare the identify of the handlers and if they are the same order
    // are assumed to be the same comparator and therefore removed from the set.

    // if the 2 routes being compared by its order have the same order property value,
    // then do a more expensive equality check and if and only if the are the same we
    // do return 0, meaning same order and same identity.
    if (compare == 0) {
      if (o1.equals(o2)) {
        return 0;
      }
      // otherwise we return higher so if 2 routes have the same order the second one will be considered
      // higher so it is added after the first.
      return 1;
    }
    return compare;
  };

  private final RouterImpl router;

  private final Set<RouteImpl> routes;
  private final int orderSequence;
  private final Map<Integer, Handler<RoutingContext>> errorHandlers;
  private final Handler<Router> modifiedHandler;
  private final boolean allowForward;

  public RouterState(RouterImpl router, Set<RouteImpl> routes, int orderSequence, Map<Integer, Handler<RoutingContext>> errorHandlers, Handler<Router> modifiedHandler, boolean allowForward) {
    this.router = router;
    this.routes = routes;
    this.orderSequence = orderSequence;
    this.errorHandlers = errorHandlers;
    this.modifiedHandler = modifiedHandler;
    this.allowForward = allowForward;
  }

  public RouterState(RouterImpl router) {
    this(
      router,
      null,
      0,
      null,
      null,
      false);
  }

  public RouterImpl router() {
    return router;
  }

  public Set<RouteImpl> getRoutes() {
    if (routes == null) {
      return Collections.emptySet();
    }
    return routes;
  }

  RouterState setRoutes(Set<RouteImpl> routes) {
    RouterState newState = new RouterState(
      this.router,
      new TreeSet<>(routeComparator),
      this.orderSequence,
      this.errorHandlers,
      this.modifiedHandler,
      this.allowForward);

    newState.routes.addAll(routes);
    return newState;
  }

  RouterState addRoute(RouteImpl route) {
    Set<RouteImpl> routes = new TreeSet<>(routeComparator);
    if (this.routes != null) {
      routes.addAll(this.routes);
    }
    routes.add(route);

    return new RouterState(
      this.router,
      routes,
      this.orderSequence,
      this.errorHandlers,
      this.modifiedHandler,
      this.allowForward);
  }

  RouterState clearRoutes() {
    return new RouterState(
      this.router,
      new TreeSet<>(routeComparator),
      this.orderSequence,
      this.errorHandlers,
      this.modifiedHandler,
      this.allowForward);
  }

  RouterState removeRoute(RouteImpl route) {
    Set<RouteImpl> routes = new TreeSet<>(routeComparator);
    if (this.routes != null) {
      routes.addAll(this.routes);
    }
    routes.remove(route);

    return new RouterState(
      this.router,
      routes,
      this.orderSequence,
      this.errorHandlers,
      this.modifiedHandler,
      this.allowForward);
  }

  public int getOrderSequence() {
    return orderSequence;
  }

  RouterState incrementOrderSequence() {
    return new RouterState(
      this.router,
      this.routes,
      this.orderSequence + 1,
      this.errorHandlers,
      this.modifiedHandler,
      this.allowForward);
  }

  RouterState setOrderSequence(int orderSequence) {
    return new RouterState(
      this.router,
      this.routes,
      orderSequence,
      this.errorHandlers,
      this.modifiedHandler,
      this.allowForward);
  }

  public Map<Integer, Handler<RoutingContext>> getErrorHandlers() {
    return errorHandlers;
  }

  RouterState setErrorHandlers(Map<Integer, Handler<RoutingContext>> errorHandlers) {
    return new RouterState(
      this.router,
      this.routes,
      this.orderSequence,
      errorHandlers,
      this.modifiedHandler,
      this.allowForward);
  }

  Handler<RoutingContext> getErrorHandler(int errorCode) {
    if (errorHandlers != null) {
      return errorHandlers.get(errorCode);
    }
    return null;
  }

  RouterState putErrorHandler(int errorCode, Handler<RoutingContext> errorHandler) {
    RouterState newState = new RouterState(
      this.router,
      this.routes,
      this.orderSequence,
      this.errorHandlers == null ? new HashMap<>() : new HashMap<>(errorHandlers),
      this.modifiedHandler,
      this.allowForward);

    newState.errorHandlers.put(errorCode, errorHandler);
    return newState;
  }

  public Handler<Router> getModifiedHandler() {
    return modifiedHandler;
  }

  public RouterState setModifiedHandler(Handler<Router> modifiedHandler) {
    return new RouterState(
      this.router,
      this.routes,
      this.orderSequence,
      this.errorHandlers,
      modifiedHandler,
      this.allowForward);
  }

  public RouterState setAllowForward(boolean allow) {
    return new RouterState(
      this.router,
      this.routes,
      this.orderSequence,
      this.errorHandlers,
      this.modifiedHandler,
      allow);
  }

  public boolean isAllowForward() {
    return allowForward;
  }

  @Override
  public String toString() {
    return "RouterState{" +
      "routes=" + routes +
      ", orderSequence=" + orderSequence +
      ", errorHandlers=" + errorHandlers +
      ", modifiedHandler=" + modifiedHandler +
      ", this.allowForward=" + allowForward +
      '}';
  }
}


text:
"""Generated message classes for dataproc version v1.

Manages Hadoop-based clusters and jobs on Google Cloud Platform.
"""
# NOTE: This file is autogenerated and should not be edited by hand.

from apitools.base.protorpclite import messages as _messages
from apitools.base.py import encoding
from apitools.base.py import extra_types

package = 'dataproc'

class CancelJobRequest(_messages.Message):
  """A request to cancel a job."""

class Cluster(_messages.Message):
  """Describes the identifying information, config, and status of a cluster of
  Google Compute Engine instances.

  Messages:
    LabelsValue: Optional The labels to associate with this cluster. Label
      keys must contain 1 to 63 characters, and must conform to RFC 1035
      (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but,
      if present, must contain 1 to 63 characters, and must conform to RFC
      1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can
      be associated with a cluster.

  Fields:
    clusterName: Required The cluster name. Cluster names within a project
      must be unique. Names of deleted clusters can be reused.
    clusterUuid: Output-only A cluster UUID (Unique Universal Identifier).
      Cloud Dataproc generates this value when it creates the cluster.
    config: Required The cluster config. Note that Cloud Dataproc may set
      default values, and values may change when clusters are updated.
    labels: Optional The labels to associate with this cluster. Label keys
      must contain 1 to 63 characters, and must conform to RFC 1035
      (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but,
      if present, must contain 1 to 63 characters, and must conform to RFC
      1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can
      be associated with a cluster.
    metrics: Contains cluster daemon metrics such as HDFS and YARN stats.Beta
      Feature: This report is available for testing purposes only. It may be
      changed before final release.
    projectId: Required The Google Cloud Platform project ID that the cluster
      belongs to.
    status: Output-only Cluster status.
    statusHistory: Output-only The previous cluster status.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class LabelsValue(_messages.Message):
    """Optional The labels to associate with this cluster. Label keys must
    contain 1 to 63 characters, and must conform to RFC 1035
    (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if
    present, must contain 1 to 63 characters, and must conform to RFC 1035
    (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be
    associated with a cluster.

    Messages:
      AdditionalProperty: An additional property for a LabelsValue object.

    Fields:
      additionalProperties: Additional properties of type LabelsValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a LabelsValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  clusterName = _messages.StringField(1)
  clusterUuid = _messages.StringField(2)
  config = _messages.MessageField('ClusterConfig', 3)
  labels = _messages.MessageField('LabelsValue', 4)
  metrics = _messages.MessageField('ClusterMetrics', 5)
  projectId = _messages.StringField(6)
  status = _messages.MessageField('ClusterStatus', 7)
  statusHistory = _messages.MessageField('ClusterStatus', 8, repeated=True)

class ClusterConfig(_messages.Message):
  """The cluster config.

  Fields:
    configBucket: Optional A Google Cloud Storage staging bucket used for
      sharing generated SSH keys and config. If you do not specify a staging
      bucket, Cloud Dataproc will determine an appropriate Cloud Storage
      location (US, ASIA, or EU) for your cluster's staging bucket according
      to the Google Compute Engine zone where your cluster is deployed, and
      then it will create and manage this project-level, per-location bucket
      for you.
    gceClusterConfig: Required The shared Google Compute Engine config
      settings for all instances in a cluster.
    initializationActions: Optional Commands to execute on each node after
      config is completed. By default, executables are run on main and all
      worker nodes. You can test a node's role metadata to run an
      executable on a main or worker node, as shown below using curl (you
      can also use wget): ROLE=$(curl -H Metadata-Flavor:Google
      http://metadata/computeMetadata/v1/instance/attributes/dataproc-role) if
      [[ "${ROLE}" == 'Main' ]]; then   ... main specific actions ... else
      ... worker specific actions ... fi
    mainConfig: Optional The Google Compute Engine config settings for the
      main instance in a cluster.
    secondaryWorkerConfig: Optional The Google Compute Engine config settings
      for additional worker instances in a cluster.
    softwareConfig: Optional The config settings for software inside the
      cluster.
    workerConfig: Optional The Google Compute Engine config settings for
      worker instances in a cluster.
  """

  configBucket = _messages.StringField(1)
  gceClusterConfig = _messages.MessageField('GceClusterConfig', 2)
  initializationActions = _messages.MessageField('NodeInitializationAction', 3, repeated=True)
  mainConfig = _messages.MessageField('InstanceGroupConfig', 4)
  secondaryWorkerConfig = _messages.MessageField('InstanceGroupConfig', 5)
  softwareConfig = _messages.MessageField('SoftwareConfig', 6)
  workerConfig = _messages.MessageField('InstanceGroupConfig', 7)

class ClusterMetrics(_messages.Message):
  """Contains cluster daemon metrics, such as HDFS and YARN stats.Beta
  Feature: This report is available for testing purposes only. It may be
  changed before final release.

  Messages:
    HdfsMetricsValue: The HDFS metrics.
    YarnMetricsValue: The YARN metrics.

  Fields:
    hdfsMetrics: The HDFS metrics.
    yarnMetrics: The YARN metrics.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class HdfsMetricsValue(_messages.Message):
    """The HDFS metrics.

    Messages:
      AdditionalProperty: An additional property for a HdfsMetricsValue
        object.

    Fields:
      additionalProperties: Additional properties of type HdfsMetricsValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a HdfsMetricsValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.IntegerField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  @encoding.MapUnrecognizedFields('additionalProperties')
  class YarnMetricsValue(_messages.Message):
    """The YARN metrics.

    Messages:
      AdditionalProperty: An additional property for a YarnMetricsValue
        object.

    Fields:
      additionalProperties: Additional properties of type YarnMetricsValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a YarnMetricsValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.IntegerField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  hdfsMetrics = _messages.MessageField('HdfsMetricsValue', 1)
  yarnMetrics = _messages.MessageField('YarnMetricsValue', 2)

class ClusterOperationMetadata(_messages.Message):
  """Metadata describing the operation.

  Messages:
    LabelsValue: Output-only labels associated with the operation

  Fields:
    clusterName: Output-only Name of the cluster for the operation.
    clusterUuid: Output-only Cluster UUID for the operation.
    description: Output-only Short description of operation.
    labels: Output-only labels associated with the operation
    operationType: Output-only The operation type.
    status: Output-only Current operation status.
    statusHistory: Output-only The previous operation status.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class LabelsValue(_messages.Message):
    """Output-only labels associated with the operation

    Messages:
      AdditionalProperty: An additional property for a LabelsValue object.

    Fields:
      additionalProperties: Additional properties of type LabelsValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a LabelsValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  clusterName = _messages.StringField(1)
  clusterUuid = _messages.StringField(2)
  description = _messages.StringField(3)
  labels = _messages.MessageField('LabelsValue', 4)
  operationType = _messages.StringField(5)
  status = _messages.MessageField('ClusterOperationStatus', 6)
  statusHistory = _messages.MessageField('ClusterOperationStatus', 7, repeated=True)

class ClusterOperationStatus(_messages.Message):
  """The status of the operation.

  Enums:
    StateValueValuesEnum: Output-only A message containing the operation
      state.

  Fields:
    details: Output-onlyA message containing any operation metadata details.
    innerState: Output-only A message containing the detailed operation state.
    state: Output-only A message containing the operation state.
    stateStartTime: Output-only The time this state was entered.
  """

  class StateValueValuesEnum(_messages.Enum):
    """Output-only A message containing the operation state.

    Values:
      UNKNOWN: Unused.
      PENDING: The operation has been created.
      RUNNING: The operation is running.
      DONE: The operation is done; either cancelled or completed.
    """
    UNKNOWN = 0
    PENDING = 1
    RUNNING = 2
    DONE = 3

  details = _messages.StringField(1)
  innerState = _messages.StringField(2)
  state = _messages.EnumField('StateValueValuesEnum', 3)
  stateStartTime = _messages.StringField(4)

class ClusterStatus(_messages.Message):
  """The status of a cluster and its instances.

  Enums:
    StateValueValuesEnum: Output-only The cluster's state.

  Fields:
    detail: Output-only Optional details of cluster's state.
    state: Output-only The cluster's state.
    stateStartTime: Output-only Time when this state was entered.
  """

  class StateValueValuesEnum(_messages.Enum):
    """Output-only The cluster's state.

    Values:
      UNKNOWN: The cluster state is unknown.
      CREATING: The cluster is being created and set up. It is not ready for
        use.
      RUNNING: The cluster is currently running and healthy. It is ready for
        use.
      ERROR: The cluster encountered an error. It is not ready for use.
      DELETING: The cluster is being deleted. It cannot be used.
      UPDATING: The cluster is being updated. It continues to accept and
        process jobs.
    """
    UNKNOWN = 0
    CREATING = 1
    RUNNING = 2
    ERROR = 3
    DELETING = 4
    UPDATING = 5

  detail = _messages.StringField(1)
  state = _messages.EnumField('StateValueValuesEnum', 2)
  stateStartTime = _messages.StringField(3)

class DataprocProjectsRegionsClustersCreateRequest(_messages.Message):
  """A DataprocProjectsRegionsClustersCreateRequest object.

  Fields:
    cluster: A Cluster resource to be passed as the request body.
    projectId: Required The ID of the Google Cloud Platform project that the
      cluster belongs to.
    region: Required The Cloud Dataproc region in which to handle the request.
  """

  cluster = _messages.MessageField('Cluster', 1)
  projectId = _messages.StringField(2, required=True)
  region = _messages.StringField(3, required=True)

class DataprocProjectsRegionsClustersDeleteRequest(_messages.Message):
  """A DataprocProjectsRegionsClustersDeleteRequest object.

  Fields:
    clusterName: Required The cluster name.
    projectId: Required The ID of the Google Cloud Platform project that the
      cluster belongs to.
    region: Required The Cloud Dataproc region in which to handle the request.
  """

  clusterName = _messages.StringField(1, required=True)
  projectId = _messages.StringField(2, required=True)
  region = _messages.StringField(3, required=True)

class DataprocProjectsRegionsClustersDiagnoseRequest(_messages.Message):
  """A DataprocProjectsRegionsClustersDiagnoseRequest object.

  Fields:
    clusterName: Required The cluster name.
    diagnoseClusterRequest: A DiagnoseClusterRequest resource to be passed as
      the request body.
    projectId: Required The ID of the Google Cloud Platform project that the
      cluster belongs to.
    region: Required The Cloud Dataproc region in which to handle the request.
  """

  clusterName = _messages.StringField(1, required=True)
  diagnoseClusterRequest = _messages.MessageField('DiagnoseClusterRequest', 2)
  projectId = _messages.StringField(3, required=True)
  region = _messages.StringField(4, required=True)

class DataprocProjectsRegionsClustersGetRequest(_messages.Message):
  """A DataprocProjectsRegionsClustersGetRequest object.

  Fields:
    clusterName: Required The cluster name.
    projectId: Required The ID of the Google Cloud Platform project that the
      cluster belongs to.
    region: Required The Cloud Dataproc region in which to handle the request.
  """

  clusterName = _messages.StringField(1, required=True)
  projectId = _messages.StringField(2, required=True)
  region = _messages.StringField(3, required=True)

class DataprocProjectsRegionsClustersListRequest(_messages.Message):
  """A DataprocProjectsRegionsClustersListRequest object.

  Fields:
    filter: Optional A filter constraining the clusters to list. Filters are
      case-sensitive and have the following syntax:field = value AND field =
      value ...where field is one of status.state, clusterName, or
      labels.[KEY], and [KEY] is a label key. value can be * to match all
      values. status.state can be one of the following: ACTIVE, INACTIVE,
      CREATING, RUNNING, ERROR, DELETING, or UPDATING. ACTIVE contains the
      CREATING, UPDATING, and RUNNING states. INACTIVE contains the DELETING
      and ERROR states. clusterName is the name of the cluster provided at
      creation time. Only the logical AND operator is supported; space-
      separated items are treated as having an implicit AND operator.Example
      filter:status.state = ACTIVE AND clusterName = mycluster AND labels.env
      = staging AND labels.starred = *
    pageSize: Optional The standard List page size.
    pageToken: Optional The standard List page token.
    projectId: Required The ID of the Google Cloud Platform project that the
      cluster belongs to.
    region: Required The Cloud Dataproc region in which to handle the request.
  """

  filter = _messages.StringField(1)
  pageSize = _messages.IntegerField(2, variant=_messages.Variant.INT32)
  pageToken = _messages.StringField(3)
  projectId = _messages.StringField(4, required=True)
  region = _messages.StringField(5, required=True)

class DataprocProjectsRegionsClustersPatchRequest(_messages.Message):
  """A DataprocProjectsRegionsClustersPatchRequest object.

  Fields:
    cluster: A Cluster resource to be passed as the request body.
    clusterName: Required The cluster name.
    projectId: Required The ID of the Google Cloud Platform project the
      cluster belongs to.
    region: Required The Cloud Dataproc region in which to handle the request.
    updateMask: Required Specifies the path, relative to Cluster,
      of the field to update. For example, to change the number of workers in
      a cluster to 5, the update_mask parameter would be
      specified as config.worker_config.num_instances, and the
      PATCH request body would specify the new value, as follows: {
      "config":{     "workerConfig":{       "numInstances":"5"     }   } }
      Similarly, to change the number of preemptible workers in a cluster to
      5, the update_mask parameter would be
      config.secondary_worker_config.num_instances, and the PATCH
      request body would be set as follows: {   "config":{
      "secondaryWorkerConfig":{       "numInstances":"5"     }   } }
      Note: Currently,
      config.worker_config.num_instances and
      config.secondary_worker_config.num_instances are the only
      fields that can be updated.
  """

  cluster = _messages.MessageField('Cluster', 1)
  clusterName = _messages.StringField(2, required=True)
  projectId = _messages.StringField(3, required=True)
  region = _messages.StringField(4, required=True)
  updateMask = _messages.StringField(5)

class DataprocProjectsRegionsJobsCancelRequest(_messages.Message):
  """A DataprocProjectsRegionsJobsCancelRequest object.

  Fields:
    cancelJobRequest: A CancelJobRequest resource to be passed as the request
      body.
    jobId: Required The job ID.
    projectId: Required The ID of the Google Cloud Platform project that the
      job belongs to.
    region: Required The Cloud Dataproc region in which to handle the request.
  """

  cancelJobRequest = _messages.MessageField('CancelJobRequest', 1)
  jobId = _messages.StringField(2, required=True)
  projectId = _messages.StringField(3, required=True)
  region = _messages.StringField(4, required=True)

class DataprocProjectsRegionsJobsDeleteRequest(_messages.Message):
  """A DataprocProjectsRegionsJobsDeleteRequest object.

  Fields:
    jobId: Required The job ID.
    projectId: Required The ID of the Google Cloud Platform project that the
      job belongs to.
    region: Required The Cloud Dataproc region in which to handle the request.
  """

  jobId = _messages.StringField(1, required=True)
  projectId = _messages.StringField(2, required=True)
  region = _messages.StringField(3, required=True)

class DataprocProjectsRegionsJobsGetRequest(_messages.Message):
  """A DataprocProjectsRegionsJobsGetRequest object.

  Fields:
    jobId: Required The job ID.
    projectId: Required The ID of the Google Cloud Platform project that the
      job belongs to.
    region: Required The Cloud Dataproc region in which to handle the request.
  """

  jobId = _messages.StringField(1, required=True)
  projectId = _messages.StringField(2, required=True)
  region = _messages.StringField(3, required=True)

class DataprocProjectsRegionsJobsListRequest(_messages.Message):
  """A DataprocProjectsRegionsJobsListRequest object.

  Enums:
    JobStateMatcherValueValuesEnum: Optional Specifies enumerated categories
      of jobs to list (default = match ALL jobs).

  Fields:
    clusterName: Optional If set, the returned jobs list includes only jobs
      that were submitted to the named cluster.
    filter: Optional A filter constraining the jobs to list. Filters are case-
      sensitive and have the following syntax:field = value AND field = value
      ...where field is status.state or labels.[KEY], and [KEY] is a label
      key. value can be * to match all values. status.state can be either
      ACTIVE or INACTIVE. Only the logical AND operator is supported; space-
      separated items are treated as having an implicit AND operator.Example
      filter:status.state = ACTIVE AND labels.env = staging AND labels.starred
      = *
    jobStateMatcher: Optional Specifies enumerated categories of jobs to list
      (default = match ALL jobs).
    pageSize: Optional The number of results to return in each response.
    pageToken: Optional The page token, returned by a previous call, to
      request the next page of results.
    projectId: Required The ID of the Google Cloud Platform project that the
      job belongs to.
    region: Required The Cloud Dataproc region in which to handle the request.
  """

  class JobStateMatcherValueValuesEnum(_messages.Enum):
    """Optional Specifies enumerated categories of jobs to list (default =
    match ALL jobs).

    Values:
      ALL: <no description>
      ACTIVE: <no description>
      NON_ACTIVE: <no description>
    """
    ALL = 0
    ACTIVE = 1
    NON_ACTIVE = 2

  clusterName = _messages.StringField(1)
  filter = _messages.StringField(2)
  jobStateMatcher = _messages.EnumField('JobStateMatcherValueValuesEnum', 3)
  pageSize = _messages.IntegerField(4, variant=_messages.Variant.INT32)
  pageToken = _messages.StringField(5)
  projectId = _messages.StringField(6, required=True)
  region = _messages.StringField(7, required=True)

class DataprocProjectsRegionsJobsPatchRequest(_messages.Message):
  """A DataprocProjectsRegionsJobsPatchRequest object.

  Fields:
    job: A Job resource to be passed as the request body.
    jobId: Required The job ID.
    projectId: Required The ID of the Google Cloud Platform project that the
      job belongs to.
    region: Required The Cloud Dataproc region in which to handle the request.
    updateMask: Required Specifies the path, relative to Job, of
      the field to update. For example, to update the labels of a Job the
      update_mask parameter would be specified as
      labels, and the PATCH request body would specify the new
      value. Note: Currently, labels is the only
      field that can be updated.
  """

  job = _messages.MessageField('Job', 1)
  jobId = _messages.StringField(2, required=True)
  projectId = _messages.StringField(3, required=True)
  region = _messages.StringField(4, required=True)
  updateMask = _messages.StringField(5)

class DataprocProjectsRegionsJobsSubmitRequest(_messages.Message):
  """A DataprocProjectsRegionsJobsSubmitRequest object.

  Fields:
    projectId: Required The ID of the Google Cloud Platform project that the
      job belongs to.
    region: Required The Cloud Dataproc region in which to handle the request.
    submitJobRequest: A SubmitJobRequest resource to be passed as the request
      body.
  """

  projectId = _messages.StringField(1, required=True)
  region = _messages.StringField(2, required=True)
  submitJobRequest = _messages.MessageField('SubmitJobRequest', 3)

class DataprocProjectsRegionsOperationsCancelRequest(_messages.Message):
  """A DataprocProjectsRegionsOperationsCancelRequest object.

  Fields:
    name: The name of the operation resource to be cancelled.
  """

  name = _messages.StringField(1, required=True)

class DataprocProjectsRegionsOperationsDeleteRequest(_messages.Message):
  """A DataprocProjectsRegionsOperationsDeleteRequest object.

  Fields:
    name: The name of the operation resource to be deleted.
  """

  name = _messages.StringField(1, required=True)

class DataprocProjectsRegionsOperationsGetRequest(_messages.Message):
  """A DataprocProjectsRegionsOperationsGetRequest object.

  Fields:
    name: The name of the operation resource.
  """

  name = _messages.StringField(1, required=True)

class DataprocProjectsRegionsOperationsListRequest(_messages.Message):
  """A DataprocProjectsRegionsOperationsListRequest object.

  Fields:
    filter: The standard list filter.
    name: The name of the operation collection.
    pageSize: The standard list page size.
    pageToken: The standard list page token.
  """

  filter = _messages.StringField(1)
  name = _messages.StringField(2, required=True)
  pageSize = _messages.IntegerField(3, variant=_messages.Variant.INT32)
  pageToken = _messages.StringField(4)

class DiagnoseClusterOutputLocation(_messages.Message):
  """The location where output from diagnostic command can be found.

  Fields:
    outputUri: Output-only The Google Cloud Storage URI of the diagnostic
      output. This will be a plain text file with summary of collected
      diagnostics.
  """

  outputUri = _messages.StringField(1)

class DiagnoseClusterRequest(_messages.Message):
  """A request to collect cluster diagnostic information."""

class DiagnoseClusterResults(_messages.Message):
  """The location of diagnostic output.

  Fields:
    outputUri: Output-only The Google Cloud Storage URI of the diagnostic
      output. The output report is a plain text file with a summary of
      collected diagnostics.
  """

  outputUri = _messages.StringField(1)

class DiskConfig(_messages.Message):
  """Specifies the config of disk options for a group of VM instances.

  Fields:
    bootDiskSizeGb: Optional Size in GB of the boot disk (default is 500GB).
    numLocalSsds: Optional Number of attached SSDs, from 0 to 4 (default is
      0). If SSDs are not attached, the boot disk is used to store runtime
      logs and HDFS
      (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If
      one or more SSDs are attached, this runtime bulk data is spread across
      them, and the boot disk contains only basic config and installed
      binaries.
  """

  bootDiskSizeGb = _messages.IntegerField(1, variant=_messages.Variant.INT32)
  numLocalSsds = _messages.IntegerField(2, variant=_messages.Variant.INT32)

class Empty(_messages.Message):
  """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); } The JSON
  representation for Empty is empty JSON object {}.
  """

class GceClusterConfig(_messages.Message):
  """Common config settings for resources of Google Compute Engine cluster
  instances, applicable to all instances in the cluster.

  Messages:
    MetadataValue: The Google Compute Engine metadata entries to add to all
      instances (see Project and instance metadata
      (https://cloud.google.com/compute/docs/storing-retrieving-
      metadata#project_and_instance_metadata)).

  Fields:
    internalIpOnly: Optional If true, all instances in the cluster will only
      have internal IP addresses. By default, clusters are not restricted to
      internal IP addresses, and will have ephemeral external IP addresses
      assigned to each instance. This internal_ip_only restriction can only be
      enabled for subnetwork enabled networks, and all off-cluster
      dependencies must be configured to be accessible without external IP
      addresses.
    metadata: The Google Compute Engine metadata entries to add to all
      instances (see Project and instance metadata
      (https://cloud.google.com/compute/docs/storing-retrieving-
      metadata#project_and_instance_metadata)).
    networkUri: Optional The Google Compute Engine network to be used for
      machine communications. Cannot be specified with subnetwork_uri. If
      neither network_uri nor subnetwork_uri is specified, the "default"
      network of the project is used, if it exists. Cannot be a "Custom Subnet
      Network" (see Using Subnetworks for more information). Example: https://
      www.googleapis.com/compute/v1/projects/[project_id]/regions/global/defau
      lt.
    serviceAccount: Optional The service account of the instances. Defaults to
      the default Google Compute Engine service account. Custom service
      accounts need permissions equivalent to the folloing IAM roles:
      roles/logging.logWriter roles/storage.objectAdmin(see
      https://cloud.google.com/compute/docs/access/service-
      accounts#custom_service_accounts for more information). Example:
      [account_id]@[project_id].iam.gserviceaccount.com
    serviceAccountScopes: Optional The URIs of service account scopes to be
      included in Google Compute Engine instances. The following base set of
      scopes is always included:
      https://www.googleapis.com/auth/cloud.useraccounts.readonly
      https://www.googleapis.com/auth/devstorage.read_write
      https://www.googleapis.com/auth/logging.writeIf no scopes are specified,
      the following defaults are also provided:
      https://www.googleapis.com/auth/bigquery
      https://www.googleapis.com/auth/bigtable.admin.table
      https://www.googleapis.com/auth/bigtable.data
      https://www.googleapis.com/auth/devstorage.full_control
    subnetworkUri: Optional The Google Compute Engine subnetwork to be used
      for machine communications. Cannot be specified with network_uri.
      Example:
      https://www.googleapis.com/compute/v1/projects/[project_id]/regions/us-
      east1/sub0.
    tags: The Google Compute Engine tags to add to all instances (see Tagging
      instances).
    zoneUri: Required The zone where the Google Compute Engine cluster will be
      located. Example: https://www.googleapis.com/compute/v1/projects/[projec
      t_id]/zones/[zone].
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class MetadataValue(_messages.Message):
    """The Google Compute Engine metadata entries to add to all instances (see
    Project and instance metadata (https://cloud.google.com/compute/docs
    /storing-retrieving-metadata#project_and_instance_metadata)).

    Messages:
      AdditionalProperty: An additional property for a MetadataValue object.

    Fields:
      additionalProperties: Additional properties of type MetadataValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a MetadataValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  internalIpOnly = _messages.BooleanField(1)
  metadata = _messages.MessageField('MetadataValue', 2)
  networkUri = _messages.StringField(3)
  serviceAccount = _messages.StringField(4)
  serviceAccountScopes = _messages.StringField(5, repeated=True)
  subnetworkUri = _messages.StringField(6)
  tags = _messages.StringField(7, repeated=True)
  zoneUri = _messages.StringField(8)

class HadoopJob(_messages.Message):
  """A Cloud Dataproc job for running Apache Hadoop MapReduce
  (https://hadoop.apache.org/docs/current/hadoop-mapreduce-client/hadoop-
  mapreduce-client-core/MapReduceTutorial.html) jobs on Apache Hadoop YARN
  (https://hadoop.apache.org/docs/r2.7.1/hadoop-yarn/hadoop-yarn-
  site/YARN.html).

  Messages:
    PropertiesValue: Optional A mapping of property names to values, used to
      configure Hadoop. Properties that conflict with values set by the Cloud
      Dataproc API may be overwritten. Can include properties set in
      /etc/hadoop/conf/*-site and classes in user code.

  Fields:
    archiveUris: Optional HCFS URIs of archives to be extracted in the working
      directory of Hadoop drivers and tasks. Supported file types: .jar, .tar,
      .tar.gz, .tgz, or .zip.
    args: Optional The arguments to pass to the driver. Do not include
      arguments, such as -libjars or -Dfoo=bar, that can be set as job
      properties, since a collision may occur that causes an incorrect job
      submission.
    fileUris: Optional HCFS (Hadoop Compatible Filesystem) URIs of files to be
      copied to the working directory of Hadoop drivers and distributed tasks.
      Useful for naively parallel tasks.
    jarFileUris: Optional Jar file URIs to add to the CLASSPATHs of the Hadoop
      driver and tasks.
    loggingConfig: Optional The runtime log config for job execution.
    mainClass: The name of the driver's main class. The jar file containing
      the class must be in the default CLASSPATH or specified in
      jar_file_uris.
    mainJarFileUri: The HCFS URI of the jar file containing the main class.
      Examples:  'gs://foo-bucket/analytics-binaries/extract-useful-metrics-
      mr.jar'  'hdfs:/tmp/test-samples/custom-wordcount.jar'
      'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'
    properties: Optional A mapping of property names to values, used to
      configure Hadoop. Properties that conflict with values set by the Cloud
      Dataproc API may be overwritten. Can include properties set in
      /etc/hadoop/conf/*-site and classes in user code.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class PropertiesValue(_messages.Message):
    """Optional A mapping of property names to values, used to configure
    Hadoop. Properties that conflict with values set by the Cloud Dataproc API
    may be overwritten. Can include properties set in /etc/hadoop/conf/*-site
    and classes in user code.

    Messages:
      AdditionalProperty: An additional property for a PropertiesValue object.

    Fields:
      additionalProperties: Additional properties of type PropertiesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a PropertiesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  archiveUris = _messages.StringField(1, repeated=True)
  args = _messages.StringField(2, repeated=True)
  fileUris = _messages.StringField(3, repeated=True)
  jarFileUris = _messages.StringField(4, repeated=True)
  loggingConfig = _messages.MessageField('LoggingConfig', 5)
  mainClass = _messages.StringField(6)
  mainJarFileUri = _messages.StringField(7)
  properties = _messages.MessageField('PropertiesValue', 8)

class HiveJob(_messages.Message):
  """A Cloud Dataproc job for running Apache Hive (https://hive.apache.org/)
  queries on YARN.

  Messages:
    PropertiesValue: Optional A mapping of property names and values, used to
      configure Hive. Properties that conflict with values set by the Cloud
      Dataproc API may be overwritten. Can include properties set in
      /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes
      in user code.
    ScriptVariablesValue: Optional Mapping of query variable names to values
      (equivalent to the Hive command: SET name="value";).

  Fields:
    continueOnFailure: Optional Whether to continue executing queries if a
      query fails. The default value is false. Setting to true can be useful
      when executing independent parallel queries.
    jarFileUris: Optional HCFS URIs of jar files to add to the CLASSPATH of
      the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes
      and UDFs.
    properties: Optional A mapping of property names and values, used to
      configure Hive. Properties that conflict with values set by the Cloud
      Dataproc API may be overwritten. Can include properties set in
      /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes
      in user code.
    queryFileUri: The HCFS URI of the script that contains Hive queries.
    queryList: A list of queries.
    scriptVariables: Optional Mapping of query variable names to values
      (equivalent to the Hive command: SET name="value";).
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class PropertiesValue(_messages.Message):
    """Optional A mapping of property names and values, used to configure
    Hive. Properties that conflict with values set by the Cloud Dataproc API
    may be overwritten. Can include properties set in
    /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in
    user code.

    Messages:
      AdditionalProperty: An additional property for a PropertiesValue object.

    Fields:
      additionalProperties: Additional properties of type PropertiesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a PropertiesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  @encoding.MapUnrecognizedFields('additionalProperties')
  class ScriptVariablesValue(_messages.Message):
    """Optional Mapping of query variable names to values (equivalent to the
    Hive command: SET name="value";).

    Messages:
      AdditionalProperty: An additional property for a ScriptVariablesValue
        object.

    Fields:
      additionalProperties: Additional properties of type ScriptVariablesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a ScriptVariablesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  continueOnFailure = _messages.BooleanField(1)
  jarFileUris = _messages.StringField(2, repeated=True)
  properties = _messages.MessageField('PropertiesValue', 3)
  queryFileUri = _messages.StringField(4)
  queryList = _messages.MessageField('QueryList', 5)
  scriptVariables = _messages.MessageField('ScriptVariablesValue', 6)

class InstanceGroupConfig(_messages.Message):
  """Optional The config settings for Google Compute Engine resources in an
  instance group, such as a main or worker group.

  Fields:
    diskConfig: Optional Disk option config settings.
    imageUri: Output-only The Google Compute Engine image resource used for
      cluster instances. Inferred from SoftwareConfig.image_version.
    instanceNames: Optional The list of instance names. Cloud Dataproc derives
      the names from cluster_name, num_instances, and the instance group if
      not set by user (recommended practice is to let Cloud Dataproc derive
      the name).
    isPreemptible: Optional Specifies that this instance group contains
      preemptible instances.
    machineTypeUri: Required The Google Compute Engine machine type used for
      cluster instances. Example:
      https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-
      east1-a/machineTypes/n1-standard-2.
    managedGroupConfig: Output-only The config for Google Compute Engine
      Instance Group Manager that manages this group. This is only used for
      preemptible instance groups.
    numInstances: Required The number of VM instances in the instance group.
      For main instance groups, must be set to 1.
  """

  diskConfig = _messages.MessageField('DiskConfig', 1)
  imageUri = _messages.StringField(2)
  instanceNames = _messages.StringField(3, repeated=True)
  isPreemptible = _messages.BooleanField(4)
  machineTypeUri = _messages.StringField(5)
  managedGroupConfig = _messages.MessageField('ManagedGroupConfig', 6)
  numInstances = _messages.IntegerField(7, variant=_messages.Variant.INT32)

class Job(_messages.Message):
  """A Cloud Dataproc job resource.

  Messages:
    LabelsValue: Optional The labels to associate with this job. Label keys
      must contain 1 to 63 characters, and must conform to RFC 1035
      (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but,
      if present, must contain 1 to 63 characters, and must conform to RFC
      1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can
      be associated with a job.

  Fields:
    driverControlFilesUri: Output-only If present, the location of
      miscellaneous control files which may be used as part of job setup and
      handling. If not present, control files may be placed in the same
      location as driver_output_uri.
    driverOutputResourceUri: Output-only A URI pointing to the location of the
      stdout of the job's driver program.
    hadoopJob: Job is a Hadoop job.
    hiveJob: Job is a Hive job.
    labels: Optional The labels to associate with this job. Label keys must
      contain 1 to 63 characters, and must conform to RFC 1035
      (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but,
      if present, must contain 1 to 63 characters, and must conform to RFC
      1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can
      be associated with a job.
    pigJob: Job is a Pig job.
    placement: Required Job information, including how, when, and where to run
      the job.
    pysparkJob: Job is a Pyspark job.
    reference: Optional The fully qualified reference to the job, which can be
      used to obtain the equivalent REST path of the job resource. If this
      property is not specified when a job is created, the server generates a
      job_id.
    sparkJob: Job is a Spark job.
    sparkSqlJob: Job is a SparkSql job.
    status: Output-only The job status. Additional application-specific status
      information may be contained in the type_job and
      yarn_applications fields.
    statusHistory: Output-only The previous job status.
    yarnApplications: Output-only The collection of YARN applications spun up
      by this job.Beta Feature: This report is available for testing purposes
      only. It may be changed before final release.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class LabelsValue(_messages.Message):
    """Optional The labels to associate with this job. Label keys must contain
    1 to 63 characters, and must conform to RFC 1035
    (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if
    present, must contain 1 to 63 characters, and must conform to RFC 1035
    (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be
    associated with a job.

    Messages:
      AdditionalProperty: An additional property for a LabelsValue object.

    Fields:
      additionalProperties: Additional properties of type LabelsValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a LabelsValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  driverControlFilesUri = _messages.StringField(1)
  driverOutputResourceUri = _messages.StringField(2)
  hadoopJob = _messages.MessageField('HadoopJob', 3)
  hiveJob = _messages.MessageField('HiveJob', 4)
  labels = _messages.MessageField('LabelsValue', 5)
  pigJob = _messages.MessageField('PigJob', 6)
  placement = _messages.MessageField('JobPlacement', 7)
  pysparkJob = _messages.MessageField('PySparkJob', 8)
  reference = _messages.MessageField('JobReference', 9)
  sparkJob = _messages.MessageField('SparkJob', 10)
  sparkSqlJob = _messages.MessageField('SparkSqlJob', 11)
  status = _messages.MessageField('JobStatus', 12)
  statusHistory = _messages.MessageField('JobStatus', 13, repeated=True)
  yarnApplications = _messages.MessageField('YarnApplication', 14, repeated=True)

class JobPlacement(_messages.Message):
  """Cloud Dataproc job config.

  Fields:
    clusterName: Required The name of the cluster where the job will be
      submitted.
    clusterUuid: Output-only A cluster UUID generated by the Cloud Dataproc
      service when the job is submitted.
  """

  clusterName = _messages.StringField(1)
  clusterUuid = _messages.StringField(2)

class JobReference(_messages.Message):
  """Encapsulates the full scoping used to reference a job.

  Fields:
    jobId: Optional The job ID, which must be unique within the project. The
      job ID is generated by the server upon job submission or provided by the
      user as a means to perform retries without creating duplicate jobs. The
      ID must contain only letters (a-z, A-Z), numbers (0-9), underscores (_),
      or hyphens (-). The maximum length is 512 characters.
    projectId: Required The ID of the Google Cloud Platform project that the
      job belongs to.
  """

  jobId = _messages.StringField(1)
  projectId = _messages.StringField(2)

class JobStatus(_messages.Message):
  """Cloud Dataproc job status.

  Enums:
    StateValueValuesEnum: Output-only A state message specifying the overall
      job state.

  Fields:
    details: Output-only Optional job state details, such as an error
      description if the state is ERROR.
    state: Output-only A state message specifying the overall job state.
    stateStartTime: Output-only The time when this state was entered.
  """

  class StateValueValuesEnum(_messages.Enum):
    """Output-only A state message specifying the overall job state.

    Values:
      STATE_UNSPECIFIED: The job state is unknown.
      PENDING: The job is pending; it has been submitted, but is not yet
        running.
      SETUP_DONE: Job has been received by the service and completed initial
        setup; it will soon be submitted to the cluster.
      RUNNING: The job is running on the cluster.
      CANCEL_PENDING: A CancelJob request has been received, but is pending.
      CANCEL_STARTED: Transient in-flight resources have been canceled, and
        the request to cancel the running job has been issued to the cluster.
      CANCELLED: The job cancellation was successful.
      DONE: The job has completed successfully.
      ERROR: The job has completed, but encountered an error.
    """
    STATE_UNSPECIFIED = 0
    PENDING = 1
    SETUP_DONE = 2
    RUNNING = 3
    CANCEL_PENDING = 4
    CANCEL_STARTED = 5
    CANCELLED = 6
    DONE = 7
    ERROR = 8

  details = _messages.StringField(1)
  state = _messages.EnumField('StateValueValuesEnum', 2)
  stateStartTime = _messages.StringField(3)

class ListClustersResponse(_messages.Message):
  """The list of all clusters in a project.

  Fields:
    clusters: Output-only The clusters in the project.
    nextPageToken: Output-only This token is included in the response if there
      are more results to fetch. To fetch additional results, provide this
      value as the page_token in a subsequent
      ListClustersRequest.
  """

  clusters = _messages.MessageField('Cluster', 1, repeated=True)
  nextPageToken = _messages.StringField(2)

class ListJobsResponse(_messages.Message):
  """A list of jobs in a project.

  Fields:
    jobs: Output-only Jobs list.
    nextPageToken: Optional This token is included in the response if there
      are more results to fetch. To fetch additional results, provide this
      value as the page_token in a subsequent ListJobsRequest.
  """

  jobs = _messages.MessageField('Job', 1, repeated=True)
  nextPageToken = _messages.StringField(2)

class ListOperationsResponse(_messages.Message):
  """The response message for Operations.ListOperations.

  Fields:
    nextPageToken: The standard List next-page token.
    operations: A list of operations that matches the specified filter in the
      request.
  """

  nextPageToken = _messages.StringField(1)
  operations = _messages.MessageField('Operation', 2, repeated=True)

class LoggingConfig(_messages.Message):
  """The runtime logging config of the job.

  Messages:
    DriverLogLevelsValue: The per-package log levels for the driver. This may
      include "root" package name to configure rootLogger. Examples:
      'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

  Fields:
    driverLogLevels: The per-package log levels for the driver. This may
      include "root" package name to configure rootLogger. Examples:
      'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class DriverLogLevelsValue(_messages.Message):
    """The per-package log levels for the driver. This may include "root"
    package name to configure rootLogger. Examples:  'com.google = FATAL',
    'root = INFO', 'org.apache = DEBUG'

    Messages:
      AdditionalProperty: An additional property for a DriverLogLevelsValue
        object.

    Fields:
      additionalProperties: Additional properties of type DriverLogLevelsValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a DriverLogLevelsValue object.

      Enums:
        ValueValueValuesEnum:

      Fields:
        key: Name of the additional property.
        value: A ValueValueValuesEnum attribute.
      """

      class ValueValueValuesEnum(_messages.Enum):
        """ValueValueValuesEnum enum type.

        Values:
          LEVEL_UNSPECIFIED: <no description>
          ALL: <no description>
          TRACE: <no description>
          DEBUG: <no description>
          INFO: <no description>
          WARN: <no description>
          ERROR: <no description>
          FATAL: <no description>
          OFF: <no description>
        """
        LEVEL_UNSPECIFIED = 0
        ALL = 1
        TRACE = 2
        DEBUG = 3
        INFO = 4
        WARN = 5
        ERROR = 6
        FATAL = 7
        OFF = 8

      key = _messages.StringField(1)
      value = _messages.EnumField('ValueValueValuesEnum', 2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  driverLogLevels = _messages.MessageField('DriverLogLevelsValue', 1)

class ManagedGroupConfig(_messages.Message):
  """Specifies the resources used to actively manage an instance group.

  Fields:
    instanceGroupManagerName: Output-only The name of the Instance Group
      Manager for this group.
    instanceTemplateName: Output-only The name of the Instance Template used
      for the Managed Instance Group.
  """

  instanceGroupManagerName = _messages.StringField(1)
  instanceTemplateName = _messages.StringField(2)

class NodeInitializationAction(_messages.Message):
  """Specifies an executable to run on a fully configured node and a timeout
  period for executable completion.

  Fields:
    executableFile: Required Google Cloud Storage URI of executable file.
    executionTimeout: Optional Amount of time executable has to complete.
      Default is 10 minutes. Cluster creation fails with an explanatory error
      message (the name of the executable that caused the error and the
      exceeded timeout period) if the executable is not completed at end of
      the timeout period.
  """

  executableFile = _messages.StringField(1)
  executionTimeout = _messages.StringField(2)

class Operation(_messages.Message):
  """This resource represents a long-running operation that is the result of a
  network API call.

  Messages:
    MetadataValue: Service-specific metadata associated with the operation. It
      typically contains progress information and common metadata such as
      create time. Some services might not provide such metadata. Any method
      that returns a long-running operation should document the metadata type,
      if any.
    ResponseValue: The normal response of the operation in case of success. If
      the original method returns no data on success, such as Delete, the
      response is google.protobuf.Empty. If the original method is standard
      Get/Create/Update, the response should be the resource. For other
      methods, the response should have the type XxxResponse, where Xxx is the
      original method name. For example, if the original method name is
      TakeSnapshot(), the inferred response type is TakeSnapshotResponse.

  Fields:
    done: If the value is false, it means the operation is still in progress.
      If true, the operation is completed, and either error or response is
      available.
    error: The error result of the operation in case of failure or
      cancellation.
    metadata: Service-specific metadata associated with the operation. It
      typically contains progress information and common metadata such as
      create time. Some services might not provide such metadata. Any method
      that returns a long-running operation should document the metadata type,
      if any.
    name: The server-assigned name, which is only unique within the same
      service that originally returns it. If you use the default HTTP mapping,
      the name should have the format of operations/some/unique/name.
    response: The normal response of the operation in case of success. If the
      original method returns no data on success, such as Delete, the response
      is google.protobuf.Empty. If the original method is standard
      Get/Create/Update, the response should be the resource. For other
      methods, the response should have the type XxxResponse, where Xxx is the
      original method name. For example, if the original method name is
      TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class MetadataValue(_messages.Message):
    """Service-specific metadata associated with the operation. It typically
    contains progress information and common metadata such as create time.
    Some services might not provide such metadata. Any method that returns a
    long-running operation should document the metadata type, if any.

    Messages:
      AdditionalProperty: An additional property for a MetadataValue object.

    Fields:
      additionalProperties: Properties of the object. Contains field @type
        with type URL.
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a MetadataValue object.

      Fields:
        key: Name of the additional property.
        value: A extra_types.JsonValue attribute.
      """

      key = _messages.StringField(1)
      value = _messages.MessageField('extra_types.JsonValue', 2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  @encoding.MapUnrecognizedFields('additionalProperties')
  class ResponseValue(_messages.Message):
    """The normal response of the operation in case of success. If the
    original method returns no data on success, such as Delete, the response
    is google.protobuf.Empty. If the original method is standard
    Get/Create/Update, the response should be the resource. For other methods,
    the response should have the type XxxResponse, where Xxx is the original
    method name. For example, if the original method name is TakeSnapshot(),
    the inferred response type is TakeSnapshotResponse.

    Messages:
      AdditionalProperty: An additional property for a ResponseValue object.

    Fields:
      additionalProperties: Properties of the object. Contains field @type
        with type URL.
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a ResponseValue object.

      Fields:
        key: Name of the additional property.
        value: A extra_types.JsonValue attribute.
      """

      key = _messages.StringField(1)
      value = _messages.MessageField('extra_types.JsonValue', 2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  done = _messages.BooleanField(1)
  error = _messages.MessageField('Status', 2)
  metadata = _messages.MessageField('MetadataValue', 3)
  name = _messages.StringField(4)
  response = _messages.MessageField('ResponseValue', 5)

class OperationMetadata(_messages.Message):
  """Metadata describing the operation.

  Enums:
    StateValueValuesEnum: A message containing the operation state.

  Fields:
    clusterName: Name of the cluster for the operation.
    clusterUuid: Cluster UUId for the operation.
    description: Output-only Short description of operation.
    details: A message containing any operation metadata details.
    endTime: The time that the operation completed.
    innerState: A message containing the detailed operation state.
    insertTime: The time that the operation was requested.
    operationType: Output-only The operation type.
    startTime: The time that the operation was started by the server.
    state: A message containing the operation state.
    status: Output-only Current operation status.
    statusHistory: Output-only Previous operation status.
  """

  class StateValueValuesEnum(_messages.Enum):
    """A message containing the operation state.

    Values:
      UNKNOWN: Unused.
      PENDING: The operation has been created.
      RUNNING: The operation is currently running.
      DONE: The operation is done, either cancelled or completed.
    """
    UNKNOWN = 0
    PENDING = 1
    RUNNING = 2
    DONE = 3

  clusterName = _messages.StringField(1)
  clusterUuid = _messages.StringField(2)
  description = _messages.StringField(3)
  details = _messages.StringField(4)
  endTime = _messages.StringField(5)
  innerState = _messages.StringField(6)
  insertTime = _messages.StringField(7)
  operationType = _messages.StringField(8)
  startTime = _messages.StringField(9)
  state = _messages.EnumField('StateValueValuesEnum', 10)
  status = _messages.MessageField('OperationStatus', 11)
  statusHistory = _messages.MessageField('OperationStatus', 12, repeated=True)

class OperationStatus(_messages.Message):
  """The status of the operation.

  Enums:
    StateValueValuesEnum: A message containing the operation state.

  Fields:
    details: A message containing any operation metadata details.
    innerState: A message containing the detailed operation state.
    state: A message containing the operation state.
    stateStartTime: The time this state was entered.
  """

  class StateValueValuesEnum(_messages.Enum):
    """A message containing the operation state.

    Values:
      UNKNOWN: Unused.
      PENDING: The operation has been created.
      RUNNING: The operation is running.
      DONE: The operation is done; either cancelled or completed.
    """
    UNKNOWN = 0
    PENDING = 1
    RUNNING = 2
    DONE = 3

  details = _messages.StringField(1)
  innerState = _messages.StringField(2)
  state = _messages.EnumField('StateValueValuesEnum', 3)
  stateStartTime = _messages.StringField(4)

class PigJob(_messages.Message):
  """A Cloud Dataproc job for running Apache Pig (https://pig.apache.org/)
  queries on YARN.

  Messages:
    PropertiesValue: Optional A mapping of property names to values, used to
      configure Pig. Properties that conflict with values set by the Cloud
      Dataproc API may be overwritten. Can include properties set in
      /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes
      in user code.
    ScriptVariablesValue: Optional Mapping of query variable names to values
      (equivalent to the Pig command: name=[value]).

  Fields:
    continueOnFailure: Optional Whether to continue executing queries if a
      query fails. The default value is false. Setting to true can be useful
      when executing independent parallel queries.
    jarFileUris: Optional HCFS URIs of jar files to add to the CLASSPATH of
      the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.
    loggingConfig: Optional The runtime log config for job execution.
    properties: Optional A mapping of property names to values, used to
      configure Pig. Properties that conflict with values set by the Cloud
      Dataproc API may be overwritten. Can include properties set in
      /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes
      in user code.
    queryFileUri: The HCFS URI of the script that contains the Pig queries.
    queryList: A list of queries.
    scriptVariables: Optional Mapping of query variable names to values
      (equivalent to the Pig command: name=[value]).
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class PropertiesValue(_messages.Message):
    """Optional A mapping of property names to values, used to configure Pig.
    Properties that conflict with values set by the Cloud Dataproc API may be
    overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml,
    /etc/pig/conf/pig.properties, and classes in user code.

    Messages:
      AdditionalProperty: An additional property for a PropertiesValue object.

    Fields:
      additionalProperties: Additional properties of type PropertiesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a PropertiesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  @encoding.MapUnrecognizedFields('additionalProperties')
  class ScriptVariablesValue(_messages.Message):
    """Optional Mapping of query variable names to values (equivalent to the
    Pig command: name=[value]).

    Messages:
      AdditionalProperty: An additional property for a ScriptVariablesValue
        object.

    Fields:
      additionalProperties: Additional properties of type ScriptVariablesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a ScriptVariablesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  continueOnFailure = _messages.BooleanField(1)
  jarFileUris = _messages.StringField(2, repeated=True)
  loggingConfig = _messages.MessageField('LoggingConfig', 3)
  properties = _messages.MessageField('PropertiesValue', 4)
  queryFileUri = _messages.StringField(5)
  queryList = _messages.MessageField('QueryList', 6)
  scriptVariables = _messages.MessageField('ScriptVariablesValue', 7)

class PySparkJob(_messages.Message):
  """A Cloud Dataproc job for running Apache PySpark
  (https://spark.apache.org/docs/0.9.0/python-programming-guide.html)
  applications on YARN.

  Messages:
    PropertiesValue: Optional A mapping of property names to values, used to
      configure PySpark. Properties that conflict with values set by the Cloud
      Dataproc API may be overwritten. Can include properties set in
      /etc/spark/conf/spark-defaults.conf and classes in user code.

  Fields:
    archiveUris: Optional HCFS URIs of archives to be extracted in the working
      directory of .jar, .tar, .tar.gz, .tgz, and .zip.
    args: Optional The arguments to pass to the driver. Do not include
      arguments, such as --conf, that can be set as job properties, since a
      collision may occur that causes an incorrect job submission.
    fileUris: Optional HCFS URIs of files to be copied to the working
      directory of Python drivers and distributed tasks. Useful for naively
      parallel tasks.
    jarFileUris: Optional HCFS URIs of jar files to add to the CLASSPATHs of
      the Python driver and tasks.
    loggingConfig: Optional The runtime log config for job execution.
    mainPythonFileUri: Required The HCFS URI of the main Python file to use as
      the driver. Must be a .py file.
    properties: Optional A mapping of property names to values, used to
      configure PySpark. Properties that conflict with values set by the Cloud
      Dataproc API may be overwritten. Can include properties set in
      /etc/spark/conf/spark-defaults.conf and classes in user code.
    pythonFileUris: Optional HCFS file URIs of Python files to pass to the
      PySpark framework. Supported file types: .py, .egg, and .zip.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class PropertiesValue(_messages.Message):
    """Optional A mapping of property names to values, used to configure
    PySpark. Properties that conflict with values set by the Cloud Dataproc
    API may be overwritten. Can include properties set in /etc/spark/conf
    /spark-defaults.conf and classes in user code.

    Messages:
      AdditionalProperty: An additional property for a PropertiesValue object.

    Fields:
      additionalProperties: Additional properties of type PropertiesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a PropertiesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  archiveUris = _messages.StringField(1, repeated=True)
  args = _messages.StringField(2, repeated=True)
  fileUris = _messages.StringField(3, repeated=True)
  jarFileUris = _messages.StringField(4, repeated=True)
  loggingConfig = _messages.MessageField('LoggingConfig', 5)
  mainPythonFileUri = _messages.StringField(6)
  properties = _messages.MessageField('PropertiesValue', 7)
  pythonFileUris = _messages.StringField(8, repeated=True)

class QueryList(_messages.Message):
  """A list of queries to run on a cluster.

  Fields:
    queries: Required The queries to execute. You do not need to terminate a
      query with a semicolon. Multiple queries can be specified in one string
      by separating each with a semicolon. Here is an example of an Cloud
      Dataproc API snippet that uses a QueryList to specify a HiveJob:
      "hiveJob": {   "queryList": {     "queries": [       "query1",
      "query2",       "query3;query4",     ]   } }
  """

  queries = _messages.StringField(1, repeated=True)

class SoftwareConfig(_messages.Message):
  """Specifies the selection and config of software inside the cluster.

  Messages:
    PropertiesValue: Optional The properties to set on daemon config
      files.Property keys are specified in prefix:property format, such as
      core:fs.defaultFS. The following are supported prefixes and their
      mappings: core: core-site.xml hdfs: hdfs-site.xml mapred: mapred-
      site.xml yarn: yarn-site.xml hive: hive-site.xml pig: pig.properties
      spark: spark-defaults.conf

  Fields:
    imageVersion: Optional The version of software inside the cluster. It must
      match the regular expression [0-9]+\.[0-9]+. If unspecified, it defaults
      to the latest version (see Cloud Dataproc Versioning).
    properties: Optional The properties to set on daemon config files.Property
      keys are specified in prefix:property format, such as core:fs.defaultFS.
      The following are supported prefixes and their mappings: core: core-
      site.xml hdfs: hdfs-site.xml mapred: mapred-site.xml yarn: yarn-site.xml
      hive: hive-site.xml pig: pig.properties spark: spark-defaults.conf
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class PropertiesValue(_messages.Message):
    """Optional The properties to set on daemon config files.Property keys are
    specified in prefix:property format, such as core:fs.defaultFS. The
    following are supported prefixes and their mappings: core: core-site.xml
    hdfs: hdfs-site.xml mapred: mapred-site.xml yarn: yarn-site.xml hive:
    hive-site.xml pig: pig.properties spark: spark-defaults.conf

    Messages:
      AdditionalProperty: An additional property for a PropertiesValue object.

    Fields:
      additionalProperties: Additional properties of type PropertiesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a PropertiesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  imageVersion = _messages.StringField(1)
  properties = _messages.MessageField('PropertiesValue', 2)

class SparkJob(_messages.Message):
  """A Cloud Dataproc job for running Apache Spark (http://spark.apache.org/)
  applications on YARN.

  Messages:
    PropertiesValue: Optional A mapping of property names to values, used to
      configure Spark. Properties that conflict with values set by the Cloud
      Dataproc API may be overwritten. Can include properties set in
      /etc/spark/conf/spark-defaults.conf and classes in user code.

  Fields:
    archiveUris: Optional HCFS URIs of archives to be extracted in the working
      directory of Spark drivers and tasks. Supported file types: .jar, .tar,
      .tar.gz, .tgz, and .zip.
    args: Optional The arguments to pass to the driver. Do not include
      arguments, such as --conf, that can be set as job properties, since a
      collision may occur that causes an incorrect job submission.
    fileUris: Optional HCFS URIs of files to be copied to the working
      directory of Spark drivers and distributed tasks. Useful for naively
      parallel tasks.
    jarFileUris: Optional HCFS URIs of jar files to add to the CLASSPATHs of
      the Spark driver and tasks.
    loggingConfig: Optional The runtime log config for job execution.
    mainClass: The name of the driver's main class. The jar file that contains
      the class must be in the default CLASSPATH or specified in
      jar_file_uris.
    mainJarFileUri: The HCFS URI of the jar file that contains the main class.
    properties: Optional A mapping of property names to values, used to
      configure Spark. Properties that conflict with values set by the Cloud
      Dataproc API may be overwritten. Can include properties set in
      /etc/spark/conf/spark-defaults.conf and classes in user code.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class PropertiesValue(_messages.Message):
    """Optional A mapping of property names to values, used to configure
    Spark. Properties that conflict with values set by the Cloud Dataproc API
    may be overwritten. Can include properties set in /etc/spark/conf/spark-
    defaults.conf and classes in user code.

    Messages:
      AdditionalProperty: An additional property for a PropertiesValue object.

    Fields:
      additionalProperties: Additional properties of type PropertiesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a PropertiesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  archiveUris = _messages.StringField(1, repeated=True)
  args = _messages.StringField(2, repeated=True)
  fileUris = _messages.StringField(3, repeated=True)
  jarFileUris = _messages.StringField(4, repeated=True)
  loggingConfig = _messages.MessageField('LoggingConfig', 5)
  mainClass = _messages.StringField(6)
  mainJarFileUri = _messages.StringField(7)
  properties = _messages.MessageField('PropertiesValue', 8)

class SparkSqlJob(_messages.Message):
  """A Cloud Dataproc job for running Apache Spark SQL
  (http://spark.apache.org/sql/) queries.

  Messages:
    PropertiesValue: Optional A mapping of property names to values, used to
      configure Spark SQL's SparkConf. Properties that conflict with values
      set by the Cloud Dataproc API may be overwritten.
    ScriptVariablesValue: Optional Mapping of query variable names to values
      (equivalent to the Spark SQL command: SET name="value";).

  Fields:
    jarFileUris: Optional HCFS URIs of jar files to be added to the Spark
      CLASSPATH.
    loggingConfig: Optional The runtime log config for job execution.
    properties: Optional A mapping of property names to values, used to
      configure Spark SQL's SparkConf. Properties that conflict with values
      set by the Cloud Dataproc API may be overwritten.
    queryFileUri: The HCFS URI of the script that contains SQL queries.
    queryList: A list of queries.
    scriptVariables: Optional Mapping of query variable names to values
      (equivalent to the Spark SQL command: SET name="value";).
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class PropertiesValue(_messages.Message):
    """Optional A mapping of property names to values, used to configure Spark
    SQL's SparkConf. Properties that conflict with values set by the Cloud
    Dataproc API may be overwritten.

    Messages:
      AdditionalProperty: An additional property for a PropertiesValue object.

    Fields:
      additionalProperties: Additional properties of type PropertiesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a PropertiesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  @encoding.MapUnrecognizedFields('additionalProperties')
  class ScriptVariablesValue(_messages.Message):
    """Optional Mapping of query variable names to values (equivalent to the
    Spark SQL command: SET name="value";).

    Messages:
      AdditionalProperty: An additional property for a ScriptVariablesValue
        object.

    Fields:
      additionalProperties: Additional properties of type ScriptVariablesValue
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a ScriptVariablesValue object.

      Fields:
        key: Name of the additional property.
        value: A string attribute.
      """

      key = _messages.StringField(1)
      value = _messages.StringField(2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  jarFileUris = _messages.StringField(1, repeated=True)
  loggingConfig = _messages.MessageField('LoggingConfig', 2)
  properties = _messages.MessageField('PropertiesValue', 3)
  queryFileUri = _messages.StringField(4)
  queryList = _messages.MessageField('QueryList', 5)
  scriptVariables = _messages.MessageField('ScriptVariablesValue', 6)

class StandardQueryParameters(_messages.Message):
  """Query parameters accepted by all methods.

  Enums:
    FXgafvValueValuesEnum: V1 error format.
    AltValueValuesEnum: Data format for response.

  Fields:
    f__xgafv: V1 error format.
    access_token: OAuth access token.
    alt: Data format for response.
    bearer_token: OAuth bearer token.
    callback: JSONP
    fields: Selector specifying which fields to include in a partial response.
    key: API key. Your API key identifies your project and provides you with
      API access, quota, and reports. Required unless you provide an OAuth 2.0
      token.
    oauth_token: OAuth 2.0 token for the current user.
    pp: Pretty-print response.
    prettyPrint: Returns response with indentations and line breaks.
    quotaUser: Available to use for quota purposes for server-side
      applications. Can be any arbitrary string assigned to a user, but should
      not exceed 40 characters.
    trace: A tracing token of the form "token:<tokenid>" to include in api
      requests.
    uploadType: Legacy upload protocol for media (e.g. "media", "multipart").
    upload_protocol: Upload protocol for media (e.g. "raw", "multipart").
  """

  class AltValueValuesEnum(_messages.Enum):
    """Data format for response.

    Values:
      json: Responses with Content-Type of application/json
      media: Media download with context-dependent Content-Type
      proto: Responses with Content-Type of application/x-protobuf
    """
    json = 0
    media = 1
    proto = 2

  class FXgafvValueValuesEnum(_messages.Enum):
    """V1 error format.

    Values:
      _1: v1 error format
      _2: v2 error format
    """
    _1 = 0
    _2 = 1

  f__xgafv = _messages.EnumField('FXgafvValueValuesEnum', 1)
  access_token = _messages.StringField(2)
  alt = _messages.EnumField('AltValueValuesEnum', 3, default=u'json')
  bearer_token = _messages.StringField(4)
  callback = _messages.StringField(5)
  fields = _messages.StringField(6)
  key = _messages.StringField(7)
  oauth_token = _messages.StringField(8)
  pp = _messages.BooleanField(9, default=True)
  prettyPrint = _messages.BooleanField(10, default=True)
  quotaUser = _messages.StringField(11)
  trace = _messages.StringField(12)
  uploadType = _messages.StringField(13)
  upload_protocol = _messages.StringField(14)

class Status(_messages.Message):
  """The Status type defines a logical error model that is suitable for
  different programming environments, including REST APIs and RPC APIs. It is
  used by gRPC (https://github.com/grpc). The error model is designed to be:
  Simple to use and understand for most users Flexible enough to meet
  unexpected needsOverviewThe Status message contains three pieces of data:
  error code, error message, and error details. The error code should be an
  enum value of google.rpc.Code, but it may accept additional error codes if
  needed. The error message should be a developer-facing English message that
  helps developers understand and resolve the error. If a localized user-
  facing error message is needed, put the localized message in the error
  details or localize it in the client. The optional error details may contain
  arbitrary information about the error. There is a predefined set of error
  detail types in the package google.rpc which can be used for common error
  conditions.Language mappingThe Status message is the logical representation
  of the error model, but it is not necessarily the actual wire format. When
  the Status message is exposed in different client libraries and different
  wire protocols, it can be mapped differently. For example, it will likely be
  mapped to some exceptions in Java, but more likely mapped to some error
  codes in C.Other usesThe error model and the Status message can be used in a
  variety of environments, either with or without APIs, to provide a
  consistent developer experience across different environments.Example uses
  of this error model include: Partial errors. If a service needs to return
  partial errors to the client, it may embed the Status in the normal response
  to indicate the partial errors. Workflow errors. A typical workflow has
  multiple steps. Each step may have a Status message for error reporting
  purpose. Batch operations. If a client uses batch request and batch
  response, the Status message should be used directly inside batch response,
  one for each error sub-response. Asynchronous operations. If an API call
  embeds asynchronous operation results in its response, the status of those
  operations should be represented directly using the Status message. Logging.
  If some API errors are stored in logs, the message Status could be used
  directly after any stripping needed for security/privacy reasons.

  Messages:
    DetailsValueListEntry: A DetailsValueListEntry object.

  Fields:
    code: The status code, which should be an enum value of google.rpc.Code.
    details: A list of messages that carry the error details. There will be a
      common set of message types for APIs to use.
    message: A developer-facing error message, which should be in English. Any
      user-facing error message should be localized and sent in the
      google.rpc.Status.details field, or localized by the client.
  """

  @encoding.MapUnrecognizedFields('additionalProperties')
  class DetailsValueListEntry(_messages.Message):
    """A DetailsValueListEntry object.

    Messages:
      AdditionalProperty: An additional property for a DetailsValueListEntry
        object.

    Fields:
      additionalProperties: Properties of the object. Contains field @type
        with type URL.
    """

    class AdditionalProperty(_messages.Message):
      """An additional property for a DetailsValueListEntry object.

      Fields:
        key: Name of the additional property.
        value: A extra_types.JsonValue attribute.
      """

      key = _messages.StringField(1)
      value = _messages.MessageField('extra_types.JsonValue', 2)

    additionalProperties = _messages.MessageField('AdditionalProperty', 1, repeated=True)

  code = _messages.IntegerField(1, variant=_messages.Variant.INT32)
  details = _messages.MessageField('DetailsValueListEntry', 2, repeated=True)
  message = _messages.StringField(3)

class SubmitJobRequest(_messages.Message):
  """A request to submit a job.

  Fields:
    job: Required The job resource.
  """

  job = _messages.MessageField('Job', 1)

class YarnApplication(_messages.Message):
  """A YARN application created by a job. Application information is a subset
  of org.apache.hadoop.yarn.proto.YarnProtos.ApplicationReportProto</cod
  e>.Beta Feature: This report is available for testing purposes only. It may
  be changed before final release.

  Enums:
    StateValueValuesEnum: Required The application state.

  Fields:
    name: Required The application name.
    progress: Required The numerical progress of the application, from 1 to
      100.
    state: Required The application state.
    trackingUrl: Optional The HTTP URL of the ApplicationMain,
      HistoryServer, or TimelineServer that provides application-specific
      information. The URL uses the internal hostname, and requires a proxy
      server for resolution and, possibly, access.
  """

  class StateValueValuesEnum(_messages.Enum):
    """Required The application state.

    Values:
      STATE_UNSPECIFIED: Status is unspecified.
      NEW: Status is NEW.
      NEW_SAVING: Status is NEW_SAVING.
      SUBMITTED: Status is SUBMITTED.
      ACCEPTED: Status is ACCEPTED.
      RUNNING: Status is RUNNING.
      FINISHED: Status is FINISHED.
      FAILED: Status is FAILED.
      KILLED: Status is KILLED.
    """
    STATE_UNSPECIFIED = 0
    NEW = 1
    NEW_SAVING = 2
    SUBMITTED = 3
    ACCEPTED = 4
    RUNNING = 5
    FINISHED = 6
    FAILED = 7
    KILLED = 8

  name = _messages.StringField(1)
  progress = _messages.FloatField(2, variant=_messages.Variant.FLOAT)
  state = _messages.EnumField('StateValueValuesEnum', 3)
  trackingUrl = _messages.StringField(4)

encoding.AddCustomJsonFieldMapping(
    StandardQueryParameters, 'f__xgafv', '$.xgafv',
    package=u'dataproc')
encoding.AddCustomJsonEnumMapping(
    StandardQueryParameters.FXgafvValueValuesEnum, '_1', '1',
    package=u'dataproc')
encoding.AddCustomJsonEnumMapping(
    StandardQueryParameters.FXgafvValueValuesEnum, '_2', '2',
    package=u'dataproc')

redpajama_set_name: RedPajamaGithub


text:
"""Pages admin views"""
from pages import settings
from pages.models import Page, Content
from pages.utils import get_placeholders
from pages.phttp import get_language_from_request

from django.shortcuts import get_object_or_404, render
from django.http import HttpResponse, Http404, HttpResponseRedirect
from django.contrib.admin.views.decorators import staff_member_required
from django.views.decorators.csrf import csrf_exempt
from django.core.urlresolvers import reverse

@csrf_exempt
def change_status(request, page_id):
    """
    Switch the status of a page.
    """
    perm = request.user.has_perm('pages.change_page')
    if perm and request.method == 'POST':
        page = Page.objects.get(pk=page_id)
        page.status = int(request.POST['status'])
        page.invalidate()
        page.save()
        return HttpResponse(str(page.status))
    raise Http404
change_status = staff_member_required(change_status)

def list_pages_ajax(request, invalid_move=False):
    """Render pages table for ajax function."""
    language = get_language_from_request(request)
    pages = Page.objects.root()
    context = {
        'can_publish': request.user.has_perm('pages.can_publish'),
        'invalid_move':invalid_move,
        'language': language,
        'pages': pages,
    }
    return render(request, "admin/pages/page/change_list_table.html",
        context)
list_pages_ajax = staff_member_required(list_pages_ajax)

@csrf_exempt
def modify_content(request, page_id, content_type, language_id):
    """Modify the content of a page."""
    page = get_object_or_404(Page, pk=page_id)
    perm = request.user.has_perm('pages.change_page')
    if perm and request.method == 'POST':
        content = request.POST.get('content', False)
        if not content:
            raise Http404
        page = Page.objects.get(pk=page_id)
        if settings.PAGE_CONTENT_REVISION:
            Content.objects.create_content_if_changed(page, language_id,
                                                      content_type, content)
        else:
            Content.objects.set_or_create_content(page, language_id,
                                                  content_type, content)
        page.invalidate()
        # to update last modification date
        page.save()

        return HttpResponse('ok')
    raise Http404
modify_content = staff_member_required(modify_content)

@csrf_exempt
def delete_content(request, page_id, language_id):
    page = get_object_or_404(Page, pk=page_id)
    perm = request.user.has_perm('pages.delete_page')
    if not perm:
        raise Http404

    for c in Content.objects.filter(page=page, language=language_id):
        c.delete()

    destination = request.POST.get('next', request.META.get('HTTP_REFERER',
        reverse("admin:pages_page_change", args=[page_id])))
    return HttpResponseRedirect(destination)
delete_content = staff_member_required(delete_content)

def traduction(request, page_id, language_id):
    """Traduction helper."""
    page = Page.objects.get(pk=page_id)
    lang = language_id
    placeholders = get_placeholders(page.get_template())
    language_error = (
        Content.objects.get_content(page, language_id, "title")
        is None
    )
    return render(request, 'pages/traduction_helper.html', {
        'page': page,
        'lang': lang,
        'language_error': language_error,
        'placeholders': placeholders,
    })
traduction = staff_member_required(traduction)

def get_content(request, page_id, content_id):
    """Get the content for a particular page"""
    content = Content.objects.get(pk=content_id)
    return HttpResponse(content.body)
get_content = staff_member_required(get_content)

@csrf_exempt
def move_page(request, page_id, extra_context=None):
    """Move the page to the requested target, at the given
    position."""
    page = Page.objects.get(pk=page_id)

    target = request.POST.get('target', None)
    position = request.POST.get('position', None)
    if target is not None and position is not None:
        try:
            target = Page.objects.get(pk=target)
        except Page.DoesNotExist:
            pass
            # TODO: should use the django message system
            # to display this message
            # _('Page could not been moved.')
        else:
            # move_to invalidates cache on a model level
            from mptt.exceptions import InvalidMove
            invalid_move = False
            try:
                page.move_to(target, position)
            except InvalidMove:
                invalid_move = True
            return list_pages_ajax(request, invalid_move)
    return HttpResponseRedirect('../../')

def sub_menu(request, page_id):
    """Render the children of the requested page with the sub_menu
    template."""
    page = Page.objects.get(id=page_id)
    pages = page.children.all()
    page_languages = settings.PAGE_LANGUAGES
    return render(request, "admin/pages/page/sub_menu.html", {
        'can_publish': request.user.has_perm('pages.can_publish'),
        'page':page,
        'pages':pages,
        'page_languages':page_languages,
    })
sub_menu = staff_member_required(sub_menu)